diff --git "a/Mixing_cnns_with_lstms_forImageCaptionning.ipynb" "b/Mixing_cnns_with_lstms_forImageCaptionning.ipynb" new file mode 100644--- /dev/null +++ "b/Mixing_cnns_with_lstms_forImageCaptionning.ipynb" @@ -0,0 +1,8858 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9abd02e6-101b-4653-a654-9b60e5b10996", + "metadata": { + "id": "9abd02e6-101b-4653-a654-9b60e5b10996" + }, + "source": [ + "# Building a Neural Network with CNNs and LSTMs for image caption generation" + ] + }, + { + "cell_type": "markdown", + "id": "94703a90-70ea-4368-bd47-4488b7d9b18b", + "metadata": { + "id": "94703a90-70ea-4368-bd47-4488b7d9b18b" + }, + "source": [ + "## Introduction" + ] + }, + { + "cell_type": "markdown", + "id": "aba8e953-570b-4555-b633-1f608e9cbb70", + "metadata": { + "id": "aba8e953-570b-4555-b633-1f608e9cbb70" + }, + "source": [ + "As proposed in the book \"Mastering Pytorch\", we will combine CNNs with LSTMs to generate captions of images, where the model takes in an\n", + "image and outputs a plausible textual description of the image. Neural networks were first successfully used for this task in around 2014/2015." + ] + }, + { + "cell_type": "markdown", + "id": "c2860987-95d9-4305-b8dc-905f77a68a2f", + "metadata": { + "id": "c2860987-95d9-4305-b8dc-905f77a68a2f" + }, + "source": [ + "## Installation of technical requirements" + ] + }, + { + "cell_type": "markdown", + "id": "8f65626c-d955-4cec-840f-7bad602a89f9", + "metadata": { + "id": "8f65626c-d955-4cec-840f-7bad602a89f9" + }, + "source": [ + "On the contrary to what is done in the book, I chose to develop this model by using pytorch 2 (instead of v1.4).\n", + "This notebook is designed to be standalone, definining its own environment, to be executed with a GPU for example in Google Collab." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "642b9602-a985-440e-911f-825ffcc4f97b", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "642b9602-a985-440e-911f-825ffcc4f97b", + "outputId": "c28eb1e9-d267-47b7-b72f-599709e447b7" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: torch==2.0.1 in /usr/local/lib/python3.10/dist-packages (2.0.1+cu118)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.12.2)\n", + "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (4.5.0)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (1.12)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.1.2)\n", + "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (2.0.0)\n", + "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch==2.0.1) (3.27.4.1)\n", + "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch==2.0.1) (16.0.6)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.0.1) (2.1.3)\n", + "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.0.1) (1.3.0)\n", + "Requirement already satisfied: torchvision==0.15.2 in /usr/local/lib/python3.10/dist-packages (0.15.2+cu118)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (1.23.5)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (2.31.0)\n", + "Requirement already satisfied: torch==2.0.1 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (2.0.1+cu118)\n", + "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (10.0.1)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1->torchvision==0.15.2) (3.12.2)\n", + "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1->torchvision==0.15.2) (4.5.0)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1->torchvision==0.15.2) (1.12)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1->torchvision==0.15.2) (3.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1->torchvision==0.15.2) (3.1.2)\n", + "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1->torchvision==0.15.2) (2.0.0)\n", + "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch==2.0.1->torchvision==0.15.2) (3.27.4.1)\n", + "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch==2.0.1->torchvision==0.15.2) (16.0.6)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.15.2) (3.2.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.15.2) (3.4)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.15.2) (2.0.4)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.15.2) (2023.7.22)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.0.1->torchvision==0.15.2) (2.1.3)\n", + "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.0.1->torchvision==0.15.2) (1.3.0)\n", + "Requirement already satisfied: nltk==3.8.1 in /usr/local/lib/python3.10/dist-packages (3.8.1)\n", + "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1) (8.1.7)\n", + "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1) (1.3.2)\n", + "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1) (2023.6.3)\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1) (4.66.1)\n", + "Requirement already satisfied: Pillow==10.0.1 in /usr/local/lib/python3.10/dist-packages (10.0.1)\n", + "Requirement already satisfied: pycocotools==2.0.7 in /usr/local/lib/python3.10/dist-packages (2.0.7)\n", + "Requirement already satisfied: matplotlib>=2.1.0 in /usr/local/lib/python3.10/dist-packages (from pycocotools==2.0.7) (3.8.0)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from pycocotools==2.0.7) (1.23.5)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (1.1.0)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (4.42.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (1.4.5)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (23.1)\n", + "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (10.0.1)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (3.1.1)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.7) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=2.1.0->pycocotools==2.0.7) (1.16.0)\n", + "Requirement already satisfied: matplotlib==3.8.0 in /usr/local/lib/python3.10/dist-packages (3.8.0)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (1.1.0)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (4.42.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (1.4.5)\n", + "Requirement already satisfied: numpy<2,>=1.21 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (1.23.5)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (23.1)\n", + "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (10.0.1)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (3.1.1)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib==3.8.0) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib==3.8.0) (1.16.0)\n" + ] + } + ], + "source": [ + "!pip install torch==2.0.1\n", + "!pip install torchvision==0.15.2\n", + "!pip install nltk==3.8.1\n", + "!pip install Pillow==10.0.1\n", + "!pip install pycocotools==2.0.7\n", + "!pip install matplotlib==3.8.0" + ] + }, + { + "cell_type": "markdown", + "id": "4cdca4b5", + "metadata": { + "id": "4cdca4b5" + }, + "source": [ + "## Preparing the dataset" + ] + }, + { + "cell_type": "markdown", + "id": "b7e51a4b", + "metadata": { + "id": "b7e51a4b" + }, + "source": [ + "We will use the dataset COCO for image captionning.\n", + "The dataset consists of more than 200,000 labeled images with 5 captions for each image. In this exercise, we will use PyTorch to train a CNN-LSTM model on this dataset and use the trained model to generate captions for unseen samples." + ] + }, + { + "cell_type": "code", + "source": [ + "# MFT: the link provided in the book \"Mastering pytorch\" was not correct\n", + "#!wget http://msvocds.blob.core.windows.net/annotations-1-0-3/captions_train-val2014.zip -P ./data_dir/\n", + "!wget http://images.cocodataset.org/annotations/annotations_trainval2014.zip -P ./data_dir/\n", + "# extract zipped images and annotations and remove the zip files\n", + "#!unzip ./data_dir/captions_train-val2014.zip -d ./data_dir/\n", + "#!rm ./data_dir/captions_train-val2014.zip\n", + "!unzip ./data_dir/annotations_trainval2014.zip -d ./data_dir/\n", + "!rm ./data_dir/annotations_trainval2014.zip" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "X5HgzckvqMzU", + "outputId": "37bb0617-f8ae-4a7d-b2bf-dcdc8b94b895" + }, + "id": "X5HgzckvqMzU", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "--2023-09-20 13:08:43-- http://images.cocodataset.org/annotations/annotations_trainval2014.zip\n", + "Resolving images.cocodataset.org (images.cocodataset.org)... 52.217.93.28, 3.5.28.238, 52.216.152.84, ...\n", + "Connecting to images.cocodataset.org (images.cocodataset.org)|52.217.93.28|:80... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 252872794 (241M) [application/zip]\n", + "Saving to: ‘./data_dir/annotations_trainval2014.zip’\n", + "\n", + "annotations_trainva 100%[===================>] 241.16M 87.6MB/s in 2.8s \n", + "\n", + "2023-09-20 13:08:46 (87.6 MB/s) - ‘./data_dir/annotations_trainval2014.zip’ saved [252872794/252872794]\n", + "\n", + "Archive: ./data_dir/annotations_trainval2014.zip\n", + " inflating: ./data_dir/annotations/instances_train2014.json \n", + " inflating: ./data_dir/annotations/instances_val2014.json \n", + " inflating: ./data_dir/annotations/person_keypoints_train2014.json \n", + " inflating: ./data_dir/annotations/person_keypoints_val2014.json \n", + " inflating: ./data_dir/annotations/captions_train2014.json \n", + " inflating: ./data_dir/annotations/captions_val2014.json \n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96920657", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "96920657", + "outputId": "db479f76-9532-4d5e-e914-178f45cb0326" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1;30;43mLe flux de sortie a été tronqué et ne contient que les 5000 dernières lignes.\u001b[0m\n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535608.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243495.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225791.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428067.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059383.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558498.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000376123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191304.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000171062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121152.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029431.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438848.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364973.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564166.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323327.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000338581.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000039656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000376046.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383518.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155312.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541108.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000202503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161308.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089924.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000218224.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030548.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347422.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451501.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000374401.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285235.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298691.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000319726.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137822.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000566697.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000280017.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000240436.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368459.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107831.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252829.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197716.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222458.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213649.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301735.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467752.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126229.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187271.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011699.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000335644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262189.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109313.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000348905.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269964.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242679.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198163.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222696.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261097.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368242.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000310711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459598.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083331.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019624.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367582.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308785.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000248019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064121.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000172924.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236784.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253940.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429530.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390689.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243104.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464006.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155051.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075857.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464317.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071284.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000102741.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000231806.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052340.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000108541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000317147.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300784.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105480.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225184.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000348162.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167017.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027756.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561088.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209898.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000131453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417846.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215244.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328397.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324500.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157944.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211119.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233023.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091402.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239627.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205300.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139512.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459502.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117719.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005860.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000494427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030423.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204830.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432239.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402992.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000472416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000414852.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047367.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000352549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552075.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170232.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000363654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047435.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283717.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000517249.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571857.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252342.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027433.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000337969.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168974.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417193.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000096539.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442979.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411674.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100087.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077396.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000206770.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235747.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022215.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252911.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000106193.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184446.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000021903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063855.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189378.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000237844.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161569.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563311.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154431.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276146.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578545.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161605.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078426.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551669.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000152111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242246.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000081004.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471991.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007072.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117201.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000177383.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157046.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000175933.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186977.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316423.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022371.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434192.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428375.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333887.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033979.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498392.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093333.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000566975.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104327.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396692.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075591.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173217.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095707.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192620.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328091.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398377.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549674.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000248953.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269254.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321008.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536183.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007506.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000439710.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089432.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000472795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315162.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553780.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320150.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000000761.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581183.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107840.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000373170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000465272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000275219.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111004.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000332845.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573258.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555119.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184994.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000102654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309678.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173772.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313398.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148508.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281725.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000514376.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153103.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197870.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575916.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040729.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223857.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528311.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459662.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292905.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000550084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328372.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433554.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000144896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271681.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041899.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000250311.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408535.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000240751.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297323.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537513.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394840.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000454326.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434494.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000087493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581332.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504635.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357176.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464296.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224862.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000538513.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000172649.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000099736.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204360.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565389.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000238258.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209904.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000247438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214664.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561514.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457249.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213593.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000026670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542451.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052966.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531875.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010217.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568290.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488374.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000413839.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287828.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022158.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000516020.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000377406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245793.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450719.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000454102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113756.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274063.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000067959.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000143215.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508822.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000346687.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139099.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522791.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000363039.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000523780.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249936.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404897.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165919.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576827.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167356.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203024.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057323.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432293.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000363344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475678.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495980.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187876.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481159.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097964.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230150.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000462324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071239.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580418.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204887.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292347.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522175.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209747.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000311883.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573891.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000482574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045966.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012860.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000006688.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552979.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533408.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000482367.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000275695.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442993.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000299838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000529698.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164759.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476175.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000548879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354121.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353982.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428336.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278843.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419378.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000439007.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196919.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342933.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000513417.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428140.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510734.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005600.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208740.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212346.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063661.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270593.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000482160.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565954.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455483.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484531.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541132.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000445972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288076.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365752.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560361.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293057.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460347.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000238866.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000376236.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487482.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052413.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000470070.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000065270.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505663.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000021394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449432.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070332.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000143927.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527374.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000338941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434142.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572347.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109827.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355450.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000317565.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476415.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083059.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155571.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467696.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128978.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000275058.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531178.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211141.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115006.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126974.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223426.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356302.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000177535.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000516372.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355819.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000141524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327917.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567205.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000413538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050926.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124232.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209788.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000530052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398554.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018193.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318671.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408501.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521419.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234660.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492758.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515577.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388409.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000377231.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292931.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442480.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460944.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455343.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209147.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066231.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405547.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379441.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130651.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075001.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572802.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388398.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204749.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136173.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000462289.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294134.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522727.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000141172.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000335833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573391.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000410496.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277971.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228604.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109819.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000247918.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030407.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458781.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372246.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554273.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000135797.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000443537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274800.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000346259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107375.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053229.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579337.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032193.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357824.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578467.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149890.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000247259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560011.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295768.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189740.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278601.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289899.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475413.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503311.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527447.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216894.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509514.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432276.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000311531.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000340503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053958.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084312.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367689.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005673.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384651.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129548.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145009.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040011.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330091.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290179.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000501080.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292033.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201163.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415672.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329568.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000352027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520933.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140542.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281429.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000299448.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323751.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192403.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042215.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093735.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327983.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573179.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077178.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000381551.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000120584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000035760.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505492.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426275.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461655.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362712.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000374858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204232.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041773.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000569862.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000550471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130401.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000237324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473728.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105751.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485148.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270244.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246308.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297425.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344439.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022874.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000352206.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447328.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126340.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295138.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433676.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147132.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515214.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000376393.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000061805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268215.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390184.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386035.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244455.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000248767.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161227.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559707.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441686.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032724.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329319.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418961.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223740.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180739.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518729.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212675.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105918.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000445567.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000218189.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549410.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054335.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193680.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324774.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212257.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386841.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031164.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000067805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297249.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066568.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000142722.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422676.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092634.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112800.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000238272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326256.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271900.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450037.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562803.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157213.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226629.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000248786.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000545100.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024112.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073533.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315219.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027658.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092678.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000004396.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000337226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095051.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278435.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403619.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228418.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477087.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411480.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016076.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497297.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121162.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167235.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468345.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419558.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553561.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145747.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256547.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344325.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130225.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033697.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062518.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000176595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000106150.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028002.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322480.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054533.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000339344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060126.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438862.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244496.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476735.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442225.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306264.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430973.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510351.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477623.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000006949.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531234.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182056.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532530.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000131276.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000470005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000335427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435807.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495160.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239029.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000159112.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000340778.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416343.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324082.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464993.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262175.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276076.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227986.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000120068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347335.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321024.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000286036.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301691.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378673.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063796.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000004795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000264730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205883.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287714.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271712.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019443.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046889.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546642.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324554.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444631.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047807.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468169.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000337366.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528201.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427796.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078748.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000478742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256672.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045433.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000101265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442301.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528962.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490275.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205089.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158250.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204256.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194063.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181886.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000296136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000331937.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511623.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528862.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388770.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066191.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285734.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022213.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000516795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320743.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000004736.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031118.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541952.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236290.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574940.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401384.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000514722.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251816.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000061684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000341725.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040926.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350262.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385181.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428161.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453369.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071345.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000557459.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334977.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003382.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214305.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058425.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000545550.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000548538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000374782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260486.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055244.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000410510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290827.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000410889.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532571.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279784.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404820.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328814.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233327.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036333.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018688.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229946.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126434.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427133.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509403.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257458.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409138.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077628.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254789.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277498.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000110638.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118728.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453334.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351975.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390238.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400567.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038919.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093791.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489687.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074132.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158999.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437789.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475944.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000339870.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074617.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294621.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015260.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449402.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322174.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419401.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416269.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537081.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368980.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186637.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000307034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558645.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344930.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163679.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139475.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511384.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422375.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174904.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000312298.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390954.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531803.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453959.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378831.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379376.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518375.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574166.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184266.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000263866.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000530624.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293785.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578330.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097696.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535689.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000529597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000525354.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000414481.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056504.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396224.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062167.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097661.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014921.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489023.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032901.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404479.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000169936.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201186.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000387388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000144053.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559955.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000336602.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362828.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000125069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000538844.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093419.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000127170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461007.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328921.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553731.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118378.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000445313.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448113.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060569.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111014.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000090138.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253342.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000307967.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366830.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022474.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000517889.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357758.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581450.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334301.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000110052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000039865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214539.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353275.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246955.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161112.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129739.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507719.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360393.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000275661.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000081035.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412355.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315863.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333167.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164115.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092339.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258588.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079588.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185444.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481635.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581245.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278359.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229267.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000237618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083172.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353505.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092771.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503467.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423008.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000472030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537301.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011305.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156397.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201498.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342100.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000108353.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515682.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440023.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235832.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404780.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147165.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174679.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000125997.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037728.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268693.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303177.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179954.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123119.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306495.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551822.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228085.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219174.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000312692.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000085674.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025743.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449798.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052016.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038357.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116434.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475798.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297314.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423944.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407097.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515355.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547293.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000310906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213035.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388873.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404602.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542024.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027146.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300200.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000122266.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386500.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236674.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215675.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405675.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040051.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043555.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458632.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274671.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313342.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391179.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369685.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192502.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001655.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037017.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487774.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308799.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233868.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000090155.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303163.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360629.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133098.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350649.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098871.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572370.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558128.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537652.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438615.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561047.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429558.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503278.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000250383.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000120572.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495681.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535306.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488327.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189475.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173832.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285820.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444565.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000557360.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209940.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137682.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367275.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553931.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423508.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489046.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520108.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448697.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448492.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464248.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580983.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189885.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000039068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425447.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000456015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005328.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288408.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219261.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058632.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234902.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215778.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000352011.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000478093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398727.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244931.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052637.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183620.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000462639.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080932.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068765.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417410.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174887.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542183.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480757.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003488.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437118.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000202562.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213905.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057671.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536605.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000250655.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000436350.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000319865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194331.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000120527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000543090.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000144610.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000530146.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491653.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055126.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000556420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457943.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000566042.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014821.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000456525.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271215.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001647.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196852.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000101223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271907.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139917.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000284253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467475.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468508.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498280.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000550514.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000259665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333290.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370749.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532390.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290231.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116377.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151962.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355971.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395364.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285568.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227326.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426329.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561337.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199387.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000108272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000534533.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477542.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121457.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301506.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000496166.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000534787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553353.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000096207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554928.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213830.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000545749.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000263474.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485802.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043305.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394608.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402109.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000305589.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416885.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179693.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000482910.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576045.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000085292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013414.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170862.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000232863.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396295.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000530656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430989.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007977.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375573.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495680.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129699.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215755.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194381.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383073.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000141102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350075.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460676.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000465449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528181.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412621.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430155.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083494.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419854.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411047.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555582.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000143998.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249720.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000108208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000392575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042752.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000545093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384661.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000478981.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089558.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361351.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000341778.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487059.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234719.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417430.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212116.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475844.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192458.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321647.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224037.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498319.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132733.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434850.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000566436.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059949.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537007.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533628.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390190.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000348594.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132587.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130773.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282804.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000523818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000439472.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000099583.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484312.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359043.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003342.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427965.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440646.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137586.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038662.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103122.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168698.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092847.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137658.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000280732.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000072024.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000144269.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575957.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447200.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000380698.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000525559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542910.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000413736.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388487.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574184.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555705.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092053.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000143346.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236874.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492075.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000472349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000550995.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234963.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000486694.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255244.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448690.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119308.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000424039.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089258.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145637.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356505.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109532.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378968.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000465692.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295150.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544855.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162561.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487659.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000004772.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330897.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000556025.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504224.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000414196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515820.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406841.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576770.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463066.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315601.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371854.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015954.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000177811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568004.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327047.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473121.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063726.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000312412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518348.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195863.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034418.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329447.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469246.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509366.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245965.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506736.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193380.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358268.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212198.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000421109.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444199.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053629.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226459.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435075.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492544.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000159791.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063650.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074067.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576248.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036773.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274083.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230501.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558794.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432534.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304984.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000143948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553443.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157430.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565239.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000352080.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000125070.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000250427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168234.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415530.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000392967.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274109.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000494578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000263351.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000101068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066567.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000272129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420914.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276260.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260172.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561967.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308849.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069965.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306426.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015687.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000172057.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350133.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042279.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440475.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375902.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210458.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062297.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000263355.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487289.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568398.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353658.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000439339.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356241.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193332.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508917.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357814.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180490.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032909.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000266951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361029.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500752.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262938.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000414156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000135256.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060835.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426754.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000299148.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495456.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000302405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000177375.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000072011.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330356.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023201.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260765.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140167.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082821.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518916.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471483.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234238.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577377.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210149.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217329.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000000730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567636.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567562.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403500.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468545.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000134459.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000171199.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001268.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453297.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158964.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000026185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306186.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371216.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194594.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129982.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429679.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430760.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012887.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471179.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013383.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148588.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189588.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157099.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481582.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149398.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324710.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229286.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321663.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480624.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451621.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375554.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002431.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095772.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502336.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503418.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000035770.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342260.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428175.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015797.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361140.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438850.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574946.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469577.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256220.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303314.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316505.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440769.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139490.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007297.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000284350.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316063.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276673.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094103.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287914.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216482.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000380140.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128450.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433652.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091615.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366179.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316396.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204288.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151299.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510992.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409115.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235743.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000072833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267231.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201775.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505636.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535135.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303361.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130586.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452122.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000134278.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167122.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309492.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000259683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463555.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154263.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345456.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000087470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450758.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000160556.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000348496.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471023.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163010.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292435.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048281.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542127.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111874.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147586.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403353.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098636.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000516239.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382009.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019924.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474448.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140797.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241728.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000035197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393271.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362545.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000305622.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527378.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429754.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358502.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300943.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419653.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062985.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000548011.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233233.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196053.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535151.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007952.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024921.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234807.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112956.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405047.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000106166.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427901.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075296.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365339.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033802.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419697.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474333.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243341.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000026374.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156370.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314557.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062661.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080949.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000090208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000178028.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509262.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032258.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344488.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000376449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051167.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000374087.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372220.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555685.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535262.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451496.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092488.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000545293.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254022.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136250.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136807.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385174.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000312316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468063.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000431897.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158288.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270744.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415746.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578788.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066886.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492911.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355871.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000456145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000346641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003793.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438955.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224238.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195444.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201555.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500257.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580390.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353096.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506224.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271429.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422200.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000381999.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221281.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309366.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051339.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157365.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405248.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000006783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328962.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181485.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000284725.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261587.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000421478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000240811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068396.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245997.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364705.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554046.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000178939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002685.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402583.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342397.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360487.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033830.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369037.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064334.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195179.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059044.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034096.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000061171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406591.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570594.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276133.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500389.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179322.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003779.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000337354.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390435.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000339469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124985.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023023.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000143040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402346.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000135161.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119876.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000138054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194832.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581831.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000310622.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000150016.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124798.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573300.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539971.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208708.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401221.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000332432.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000231163.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121534.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000514773.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030403.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293468.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455448.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149284.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515727.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000557596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289337.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221609.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422982.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000020438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147173.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003794.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000134518.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060262.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282206.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167920.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000548498.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000421834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000513724.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267709.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000413522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422655.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000259976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401971.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449731.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351345.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045687.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015746.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183716.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012827.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181969.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522637.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000381416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229150.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000424271.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000020147.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575823.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505039.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000106344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464134.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309484.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000543193.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495852.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427615.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000138503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498460.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000335374.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508006.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468133.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137028.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105961.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419848.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571279.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000017741.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139192.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153624.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083217.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490964.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241889.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239997.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551959.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073450.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000380979.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391365.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215408.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271576.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000312421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432962.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000102345.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281827.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209655.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570515.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000248468.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397377.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353935.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500784.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389759.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000110449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000517515.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123131.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224118.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071306.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124157.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444183.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000026630.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000436392.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400238.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193407.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197880.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089329.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000317033.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000550281.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420281.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553669.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209221.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000150726.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000555687.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121904.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186079.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000312416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062875.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000462424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261461.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277642.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477955.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268927.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495357.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274651.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000529256.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000152360.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452724.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140921.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000466052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023895.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440937.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000499365.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398028.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000255627.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000319053.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535322.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000175251.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203734.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036765.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199881.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504498.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155007.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054025.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276195.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000035825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265372.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459121.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577631.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531232.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219920.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222467.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183176.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361739.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355088.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564337.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366569.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063290.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043128.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242757.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384482.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244160.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000340263.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515444.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014380.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000114152.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282046.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060823.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575081.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000341247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536158.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425371.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510154.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109992.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033672.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560718.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000240605.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000218608.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000421131.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012010.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028998.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000540174.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428769.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506458.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544456.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045655.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179214.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378276.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173776.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068715.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063617.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000061101.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256868.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000232453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000436865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049119.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354333.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199602.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572886.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481890.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097434.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379734.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200089.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459645.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000494863.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163518.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139113.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334719.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473936.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203119.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191925.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000264124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367706.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080163.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000339442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184978.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253518.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497555.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000566324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018864.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115178.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189244.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308543.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353748.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000090255.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000331049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066761.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181518.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411666.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153669.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251317.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420113.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243158.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245481.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283910.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294875.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195542.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283380.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347544.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082059.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146487.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000142454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129492.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000387506.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000135578.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256980.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000160126.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354321.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140307.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281609.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195673.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000019608.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001146.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333237.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288340.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029187.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267184.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000336937.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398220.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262334.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219909.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527445.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027917.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313647.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425484.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402096.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113058.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000472102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316605.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000336493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000525777.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315434.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469996.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000523565.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000538414.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524977.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378284.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047801.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136870.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561314.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384496.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192406.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000231362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406451.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000237942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126131.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000142790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000125700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051429.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267224.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000067122.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279391.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347612.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511204.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565715.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552018.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294431.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064902.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031280.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091844.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000310915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068418.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524392.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161128.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034571.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183391.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504304.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293452.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000152987.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000392818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315908.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052267.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500680.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507557.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362079.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227370.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100977.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083923.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000065981.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262531.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075187.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000534639.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000238385.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333314.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407057.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000516681.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088445.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415967.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132554.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000020069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008899.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000380706.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000374677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467705.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490936.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451151.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411043.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314504.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385918.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014557.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397628.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000482242.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016237.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000150292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194555.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113403.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289152.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164242.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196989.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198921.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000373440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091460.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000122135.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000466118.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437732.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211743.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000000636.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076176.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412757.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119460.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013991.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013445.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051605.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251752.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491017.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243218.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293671.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389128.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502776.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050277.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325894.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000436111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522273.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153631.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022446.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000320039.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052746.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329138.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079913.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146965.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225032.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060515.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526704.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385029.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047687.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000486122.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487222.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000569931.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289573.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000017366.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479200.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111548.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000259452.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031748.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000530439.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315991.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054204.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485773.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473754.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401653.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536028.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370765.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394418.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300322.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389206.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235221.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408817.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000501760.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536369.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000096473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051025.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345960.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578849.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205729.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223020.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077360.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503233.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031878.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000138096.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092543.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115823.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391161.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224222.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000376767.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577160.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502582.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459954.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379841.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290289.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429366.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372024.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095569.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359135.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000513060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009270.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460229.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512630.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123213.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051628.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519132.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289318.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321432.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000127044.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468993.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029594.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000120129.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574977.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505035.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022718.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222340.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455384.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281455.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069213.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256221.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533506.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000108645.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000087194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000039357.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000021470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228558.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224477.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000122602.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001840.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225913.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000171936.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000150487.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372913.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000346932.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214042.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495288.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000144064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012413.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000336629.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279994.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000472364.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297610.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000331395.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000178446.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140658.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476398.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223777.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000540209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002295.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324598.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475295.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000470318.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294958.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000101031.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000387328.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009214.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474920.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325831.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372043.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365103.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000131617.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500716.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000138115.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168909.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058539.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532809.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303409.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526392.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303550.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511658.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040037.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493206.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063619.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329604.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000125435.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533311.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000004742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000363606.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435012.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000286556.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086946.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539717.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083547.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358191.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322429.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389477.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455772.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000413358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262651.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497002.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324383.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060507.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000266451.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000387824.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156809.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007298.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000248238.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388569.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223930.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187565.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104676.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404944.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537889.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261178.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133923.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117908.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268944.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188945.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515485.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442952.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546649.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345847.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145422.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544956.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461839.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554142.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306755.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406681.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048708.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345848.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349414.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010012.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000302716.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000141219.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186556.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000499110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209757.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000336171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000232993.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351747.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183914.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207675.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188318.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257870.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233848.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184499.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318099.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546524.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580953.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015140.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076468.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568710.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000176017.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000299688.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399377.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576966.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437262.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511760.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086843.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042147.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217016.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245432.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400981.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368072.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000263664.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200365.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409364.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196295.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000230877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479195.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490860.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258702.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288435.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000176078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344888.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000131282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279824.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422280.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000247986.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329080.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251797.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000106970.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291286.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000414795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204091.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315303.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069887.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279097.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549885.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221562.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000363106.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157891.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000220041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058254.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000462809.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046551.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471009.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522371.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094651.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084477.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301724.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000501858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025057.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211112.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000381247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464814.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404546.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043494.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000424998.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168991.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136722.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553990.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043345.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253223.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000340529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000090052.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088652.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417830.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103485.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029437.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049883.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115241.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359164.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000085423.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500018.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217323.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433904.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128812.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316534.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000534274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000127476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519446.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453009.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475359.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000011703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179960.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214369.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000247407.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378712.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314689.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422212.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253002.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561745.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000264013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030645.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289173.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375430.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463452.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242513.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325958.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488573.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287748.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229753.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000486397.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000335033.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477118.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184276.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458323.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576714.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009236.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058785.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441286.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036561.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161195.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527379.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000131295.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000277051.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000125643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505891.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000319530.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054164.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512339.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326517.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044910.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274494.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372433.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119995.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166260.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316882.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479612.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425608.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446322.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015517.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165012.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254892.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260105.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366792.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239376.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000098523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251741.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282912.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037871.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495131.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180357.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000017207.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071682.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038531.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267628.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000172513.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194434.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000517967.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000341397.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565479.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495090.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242189.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000237600.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328836.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225177.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000231402.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520047.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393421.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000581913.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382088.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386661.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195815.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508962.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210777.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457754.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412036.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487692.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000172279.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573896.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000457436.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564816.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289855.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112770.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086840.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479586.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000540762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508586.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203878.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033441.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295728.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000101088.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200296.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233187.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000436203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000572604.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078638.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000250939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000179265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185046.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528786.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256899.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396821.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000020671.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080219.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362797.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000021161.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000569972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531532.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564629.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507065.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469543.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000424196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165422.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215376.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303847.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000122851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212688.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000341469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000556633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015074.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412399.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239959.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000500825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301449.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000231169.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012047.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384949.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303607.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000102497.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064157.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000317070.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000299067.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502715.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326550.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567535.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190447.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056205.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000218637.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000499837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180729.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493610.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163348.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329373.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449190.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257187.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000443844.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000494782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205251.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051089.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151808.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281387.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521288.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564127.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570169.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219567.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367905.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391933.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000543961.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511852.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197022.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350840.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018781.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173383.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267710.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000548523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227031.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283268.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000436694.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005802.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574425.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000499768.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000284465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437514.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000515465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000081988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000392365.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167178.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000529966.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350686.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562519.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000122314.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139921.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000494438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509192.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437910.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191053.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184181.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394460.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549109.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393692.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116370.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195271.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186083.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000161202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318543.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330186.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576831.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000272615.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487943.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156126.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154425.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000438426.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378169.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570866.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578736.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401330.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000310703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186709.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281500.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270001.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000425644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000513727.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116289.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228749.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000510585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146979.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000296182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318290.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121153.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000356092.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379542.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000189226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000096427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095551.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000214257.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000517061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000058146.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180662.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168225.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010393.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575187.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295124.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185598.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166255.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512467.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195800.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057545.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075719.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245996.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507301.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000317188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370999.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502766.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292384.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460126.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460378.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283874.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444927.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477867.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137811.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293200.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046101.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354126.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249786.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128756.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000296684.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554357.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574343.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000017959.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062858.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520659.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293153.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000523100.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471756.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546475.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559312.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354662.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350073.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168458.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000344611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365305.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000431236.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000337274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347216.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367329.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000496954.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383846.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000470536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147101.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103873.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267135.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145048.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000159269.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433547.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360660.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008045.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173544.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411953.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246973.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000317560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249025.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325768.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000271457.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349622.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000150040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000513149.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318146.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000065982.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000072621.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573935.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391689.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503219.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100428.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168250.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429408.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036678.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433136.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084241.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367082.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368153.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093331.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000391154.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495587.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170048.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327769.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147576.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000212342.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408192.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539793.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463751.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000478906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455515.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103904.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000286760.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351868.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000176527.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156025.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000142564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024530.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262016.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379101.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000475182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246876.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372070.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579696.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000286711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000486968.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292467.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371650.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390147.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203138.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000140068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196715.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362971.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329355.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450886.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000361027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198641.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229270.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423161.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000202199.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000398606.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082662.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449660.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222075.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000288762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000501039.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031151.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333504.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415716.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433154.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287649.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000106722.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000373193.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075479.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049881.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005001.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432605.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000363460.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418761.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000302302.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577866.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485413.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409627.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112117.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358058.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000280107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507979.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000175539.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000431931.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153976.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444531.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000237869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400472.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082835.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422522.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270274.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075600.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390759.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308715.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123220.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244636.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318161.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163666.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000239235.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000346071.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343031.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576987.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467500.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368456.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531512.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000340922.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254745.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000138644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000413551.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211674.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097379.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000238074.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000556278.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342186.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253742.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278973.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360880.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104392.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111076.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000088913.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243204.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000473057.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365325.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554735.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551685.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292140.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227952.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000373424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313321.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304220.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163127.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077792.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350267.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485985.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000516173.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151956.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357992.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025809.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403385.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576704.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174019.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000337055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360101.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000530590.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103375.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000054654.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000431185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056302.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000538230.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386089.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193875.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495054.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201928.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233164.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395904.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531020.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000418699.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000297300.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000087199.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001347.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000081299.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544876.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366683.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060364.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000233790.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015956.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420059.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503707.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068198.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018073.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347630.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000020334.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083557.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552866.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000023991.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003837.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246576.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000216083.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038828.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075033.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000514668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450709.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378652.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000006484.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086845.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354088.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013175.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000273698.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370331.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458103.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000548946.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270122.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416786.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185850.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000571598.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186938.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568281.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010591.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000301575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000063882.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000432859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056874.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281759.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541010.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524108.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000365426.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000504487.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164568.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385236.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411472.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070619.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298452.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573622.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000126688.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000540869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000470348.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000556341.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032364.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485494.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156292.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415885.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452891.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000033066.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000574315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245453.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460379.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535750.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086215.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379443.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324785.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244181.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000424227.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028994.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000291257.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349936.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000410951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400569.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121828.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242297.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000305101.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290951.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000020305.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000264506.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394132.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048564.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047882.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382309.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084097.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451559.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000339988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071072.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137031.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156098.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097609.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163076.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000332923.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000196843.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281534.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367142.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322369.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298600.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577539.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393225.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326919.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168248.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022479.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000025560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188537.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064116.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000200668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316183.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100430.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000013061.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354369.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455675.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147346.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542611.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034582.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000267088.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000427820.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032190.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000543872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000171382.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012209.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444302.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561336.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048196.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186165.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000191013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000444366.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000130130.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016285.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539673.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000160185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024919.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000345401.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458487.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453755.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412807.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040468.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328512.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399249.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132329.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116255.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385770.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246327.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000177893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000355817.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369820.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533032.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069392.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327514.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000160703.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452137.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060886.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000486536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493682.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453104.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415880.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000141317.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182162.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097754.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447663.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407821.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000390348.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000422017.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000218456.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000072376.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304409.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000195045.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560908.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070589.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342051.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219754.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357219.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000410337.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343769.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000335065.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192440.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000370388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417946.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184227.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442630.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000085721.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204020.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547102.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395717.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000431479.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322353.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000407225.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051289.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000246701.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190218.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201899.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000338826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226984.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322959.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563927.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000099961.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000266246.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359140.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209972.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165141.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000121041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071384.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000048668.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132373.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446812.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000186422.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000414884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315905.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041872.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313538.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000357060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055772.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000494139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228144.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000026640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097682.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300814.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000276263.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507714.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000528544.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281414.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000315805.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521181.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000358427.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000067156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162841.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000134460.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430567.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000021382.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434410.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145436.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000053016.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000169505.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000160828.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000529539.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488822.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000067953.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190700.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000310725.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490320.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219437.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539678.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524373.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000259983.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000028236.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000060125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198550.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343680.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539557.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000244235.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000082157.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146112.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242644.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000101013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554340.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000525971.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197424.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293909.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000097809.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000108056.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183204.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190395.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000498738.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354278.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000167544.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092648.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497488.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463785.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000303713.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168355.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000081079.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000384007.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204906.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235699.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174457.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270505.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532855.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213843.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000481996.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452312.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166165.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000153783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298331.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000051326.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292804.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290515.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484404.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349006.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213445.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000159399.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008876.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000151733.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452917.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000142718.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000569652.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544065.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100678.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000159240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079930.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396217.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199236.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511324.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000015272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000487861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079868.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000188752.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173490.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044508.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000352491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234757.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000534038.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401892.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483525.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260829.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000452931.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000477474.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493284.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000424155.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128417.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000557823.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446894.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364190.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241691.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000459575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000194188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103697.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079380.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077400.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000292169.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283772.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000470113.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491168.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052774.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000024609.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000328430.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349480.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000348795.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000176226.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117036.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050099.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278801.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000557114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531739.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546674.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000319345.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000410724.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000093894.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000343248.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519728.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074656.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000118741.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434066.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157271.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242208.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000067558.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485071.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000372349.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000508291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505911.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000127671.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040986.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000061782.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217517.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000553154.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000240506.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489475.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535326.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000466766.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201916.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076417.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532787.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000491408.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395745.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304252.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000549255.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000455464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045197.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000466945.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000284152.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104002.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056187.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505335.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184791.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367732.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000299593.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000004157.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379740.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234031.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260994.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000177927.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000511307.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243955.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440443.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000234592.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092826.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084113.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000389255.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512982.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000561412.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300066.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000523315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139169.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000333294.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136555.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483965.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224819.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057508.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327892.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274835.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251901.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158279.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000346774.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000543581.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460967.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000302030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313922.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030347.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562370.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000152649.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094846.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476120.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522751.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479948.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000105622.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000090560.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000197352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369913.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070865.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480268.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497281.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000307145.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447549.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294258.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000353001.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162902.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000085562.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050965.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149731.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000256940.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000456784.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000261982.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000174239.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000166586.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490491.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154071.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458240.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030958.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000052166.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497141.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527995.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318200.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321943.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000110884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000564352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062398.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000280464.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000043939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000483941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293334.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000374333.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000408955.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000552510.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359260.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000149222.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313155.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000037958.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157067.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254816.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000519529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000210042.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468548.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187495.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000440110.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360409.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047632.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000338600.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000420234.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005352.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290293.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157918.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000403481.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000247873.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000566729.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000273420.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000557323.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000453283.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215808.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000042069.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547903.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077184.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359546.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000306247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334062.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000360318.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036451.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000009105.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579247.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000252459.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559776.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000378709.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000492057.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000517819.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460407.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000471528.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000134552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324158.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000521593.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084693.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000242363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000379190.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570242.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000162362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000250368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000148614.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215114.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526360.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145862.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000217133.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000135763.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279933.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463222.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000558454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000169111.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000531973.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321810.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359148.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057454.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000032892.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207178.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484280.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554579.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047775.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223468.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000540860.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228552.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038064.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089027.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000559166.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350389.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000369294.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000128570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000451859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000329379.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474021.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241279.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000342675.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000220045.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000286493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000232185.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000334743.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229529.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070254.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000490022.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000000338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000428812.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000416170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046870.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000163041.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241466.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000146672.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325184.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371365.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546717.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396350.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046155.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366095.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258541.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000185773.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000193798.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383950.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000003014.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000466570.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201496.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000123070.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536444.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464476.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000545040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386764.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000495291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000381463.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000071451.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000068050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000172856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000512118.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560662.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000010643.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112568.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362229.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000145439.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000412094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000102908.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074268.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350068.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289194.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000026386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091343.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347253.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086696.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295857.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000092335.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000139856.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489266.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000262677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000580540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000241551.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000554286.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000493932.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000447791.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000077351.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367881.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000460781.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000445014.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062170.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046650.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000426532.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393869.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283152.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000022192.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000080725.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000579003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405994.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368884.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000056646.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560368.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000480536.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000463670.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000075725.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095319.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000377091.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000127259.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000084493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258322.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289393.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000359563.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000002473.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322143.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000349776.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405174.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000029125.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000091353.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100604.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404191.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192437.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000160864.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000501382.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000371243.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000040602.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115300.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000122388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383842.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325055.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000205625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323288.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000319073.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000059532.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000184945.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000223540.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000089839.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458401.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000518224.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016730.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147482.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000505818.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000568879.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308394.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314992.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000450561.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000388601.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000031749.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000556562.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000547212.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000245750.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000289222.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115946.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295769.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000578922.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000232597.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215723.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000576031.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000464087.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000526711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000430469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000509416.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173008.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000282658.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260627.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000206851.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000178072.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095583.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000309316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385119.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000260802.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000171942.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000034877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235296.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000462364.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434513.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000415360.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000095336.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000540093.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000354229.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041574.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000111104.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000147897.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000287033.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182362.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180188.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468379.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000326640.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000017282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173385.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069009.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000007566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000225571.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000417249.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249276.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000057107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000325198.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000104893.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016590.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000396966.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435880.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226957.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000168834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064183.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000152012.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215633.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157669.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064629.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000465986.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350898.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000304876.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386012.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000482589.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249909.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000392022.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000127702.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203085.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243478.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083483.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100909.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000520561.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399545.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000275834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435709.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165760.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575901.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000321557.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000227960.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000570714.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207306.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000116521.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000350107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551018.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000192191.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000021688.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000474680.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000522941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000268433.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187722.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000402250.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000124262.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000278203.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000001503.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000285929.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000478380.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000419344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000458045.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000206618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000016318.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045603.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000012748.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000119581.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000114164.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251857.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397089.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000027585.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000047651.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000109291.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000434657.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000467107.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000055077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000529626.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000065306.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279265.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000173471.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000298493.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401991.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236432.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000100245.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000456833.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000208516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000375980.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000236338.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000385115.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000069138.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000362483.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000110630.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000206757.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000468953.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479613.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270609.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000044877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279305.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229553.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170393.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000083065.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000229358.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046269.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000394892.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448861.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000187329.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000429386.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000527363.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000224974.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000341128.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000134034.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000263612.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000476282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542211.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000383322.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563175.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000050756.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000115379.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000141517.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000404618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000218026.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000253988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000265151.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269419.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000503490.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000567013.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000072000.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000546934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364299.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000170191.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469242.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000138556.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000295006.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000502275.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000103163.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000573066.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000323442.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000305195.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000018575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000249825.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000209431.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000076334.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000129855.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000251094.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030595.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000539423.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000266727.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000469877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000156246.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000222866.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366295.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030353.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078465.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000099182.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000423396.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000211618.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000150301.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000537692.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078488.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000257053.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000489799.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000235857.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000497351.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000133515.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000314426.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283131.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000322511.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479078.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000238598.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000046405.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000198724.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000279838.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000507739.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000064859.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393423.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000405205.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442040.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000221272.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000565273.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000158849.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000448205.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243344.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000393267.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000401018.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000137619.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000367804.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000206260.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000446850.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000300989.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000449180.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201727.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182469.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000243852.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000409030.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000294776.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000136941.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000204098.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000182050.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000215596.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000228214.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000406071.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000397459.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000203509.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000293300.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000142934.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000523297.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485290.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000484425.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000120535.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000180584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000313228.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000486580.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000563762.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000099481.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000213599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000062060.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000283028.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000366711.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308388.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000364133.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000544237.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199989.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000290282.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000542042.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000274014.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000318022.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000207437.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000461885.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000562708.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000272015.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000541744.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000183786.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000577853.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000181488.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000330079.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000107963.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000327433.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000485343.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000435444.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000536235.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000226848.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270316.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000165831.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000240301.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000144003.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000308167.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000269918.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000400915.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000270677.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000506803.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000094174.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000005443.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000157084.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000437895.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000078499.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000219269.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000117028.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000073470.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316499.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000351554.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000164779.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154139.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000258911.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000041373.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000466005.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000066523.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000332877.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000514294.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000070945.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000199927.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000206751.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000036077.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000201045.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079490.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000079566.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000086988.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000560266.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000254834.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000190783.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000524575.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000433156.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000532620.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000533171.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000074462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000386584.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000575625.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000000599.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000316123.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000442206.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000411665.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000112698.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000395462.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000368663.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000399049.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000479939.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132860.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000281315.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000014526.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154892.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000535313.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000008483.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000259087.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000030667.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000132288.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000155617.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000049682.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000382438.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000488693.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000324492.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000543836.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000551804.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000045516.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000347233.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000154202.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000038210.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000113113.jpg \n", + " extracting: ./data_dir/val2014/COCO_val2014_000000441814.jpg \n" + ] + } + ], + "source": [ + "# download images and annotations to the data directory\n", + "\n", + "!wget http://images.cocodataset.org/zips/train2014.zip -P ./data_dir/\n", + "!wget http://images.cocodataset.org/zips/val2014.zip -P ./data_dir/\n", + "\n", + "!unzip ./data_dir/train2014.zip -d ./data_dir/\n", + "!rm ./data_dir/train2014.zip\n", + "!unzip ./data_dir/val2014.zip -d ./data_dir/\n", + "!rm ./data_dir/val2014.zip" + ] + }, + { + "cell_type": "markdown", + "id": "8f895a74", + "metadata": { + "id": "8f895a74" + }, + "source": [ + "## Preprocessing caption (text) data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96929c2f-0035-4814-8999-447c8d31503b", + "metadata": { + "id": "96929c2f-0035-4814-8999-447c8d31503b", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "22a3274d-6689-4d0d-8560-9d0ea025bb45" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "[nltk_data] Downloading package punkt to /root/nltk_data...\n", + "[nltk_data] Package punkt is already up-to-date!\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "loading annotations into memory...\n", + "Done (t=0.71s)\n", + "creating index...\n", + "index created!\n", + "[1000/414113] Tokenized the captions.\n", + "[2000/414113] Tokenized the captions.\n", + "[3000/414113] Tokenized the captions.\n", + "[4000/414113] Tokenized the captions.\n", + "[5000/414113] Tokenized the captions.\n", + "[6000/414113] Tokenized the captions.\n", + "[7000/414113] Tokenized the captions.\n", + "[8000/414113] Tokenized the captions.\n", + "[9000/414113] Tokenized the captions.\n", + "[10000/414113] Tokenized the captions.\n", + "[11000/414113] Tokenized the captions.\n", + "[12000/414113] Tokenized the captions.\n", + "[13000/414113] Tokenized the captions.\n", + "[14000/414113] Tokenized the captions.\n", + "[15000/414113] Tokenized the captions.\n", + "[16000/414113] Tokenized the captions.\n", + "[17000/414113] Tokenized the captions.\n", + "[18000/414113] Tokenized the captions.\n", + "[19000/414113] Tokenized the captions.\n", + "[20000/414113] Tokenized the captions.\n", + "[21000/414113] Tokenized the captions.\n", + "[22000/414113] Tokenized the captions.\n", + "[23000/414113] Tokenized the captions.\n", + "[24000/414113] Tokenized the captions.\n", + "[25000/414113] Tokenized the captions.\n", + "[26000/414113] Tokenized the captions.\n", + "[27000/414113] Tokenized the captions.\n", + "[28000/414113] Tokenized the captions.\n", + "[29000/414113] Tokenized the captions.\n", + "[30000/414113] Tokenized the captions.\n", + "[31000/414113] Tokenized the captions.\n", + "[32000/414113] Tokenized the captions.\n", + "[33000/414113] Tokenized the captions.\n", + "[34000/414113] Tokenized the captions.\n", + "[35000/414113] Tokenized the captions.\n", + "[36000/414113] Tokenized the captions.\n", + "[37000/414113] Tokenized the captions.\n", + "[38000/414113] Tokenized the captions.\n", + "[39000/414113] Tokenized the captions.\n", + "[40000/414113] Tokenized the captions.\n", + "[41000/414113] Tokenized the captions.\n", + "[42000/414113] Tokenized the captions.\n", + "[43000/414113] Tokenized the captions.\n", + "[44000/414113] Tokenized the captions.\n", + "[45000/414113] Tokenized the captions.\n", + "[46000/414113] Tokenized the captions.\n", + "[47000/414113] Tokenized the captions.\n", + "[48000/414113] Tokenized the captions.\n", + "[49000/414113] Tokenized the captions.\n", + "[50000/414113] Tokenized the captions.\n", + "[51000/414113] Tokenized the captions.\n", + "[52000/414113] Tokenized the captions.\n", + "[53000/414113] Tokenized the captions.\n", + "[54000/414113] Tokenized the captions.\n", + "[55000/414113] Tokenized the captions.\n", + "[56000/414113] Tokenized the captions.\n", + "[57000/414113] Tokenized the captions.\n", + "[58000/414113] Tokenized the captions.\n", + "[59000/414113] Tokenized the captions.\n", + "[60000/414113] Tokenized the captions.\n", + "[61000/414113] Tokenized the captions.\n", + "[62000/414113] Tokenized the captions.\n", + "[63000/414113] Tokenized the captions.\n", + "[64000/414113] Tokenized the captions.\n", + "[65000/414113] Tokenized the captions.\n", + "[66000/414113] Tokenized the captions.\n", + "[67000/414113] Tokenized the captions.\n", + "[68000/414113] Tokenized the captions.\n", + "[69000/414113] Tokenized the captions.\n", + "[70000/414113] Tokenized the captions.\n", + "[71000/414113] Tokenized the captions.\n", + "[72000/414113] Tokenized the captions.\n", + "[73000/414113] Tokenized the captions.\n", + "[74000/414113] Tokenized the captions.\n", + "[75000/414113] Tokenized the captions.\n", + "[76000/414113] Tokenized the captions.\n", + "[77000/414113] Tokenized the captions.\n", + "[78000/414113] Tokenized the captions.\n", + "[79000/414113] Tokenized the captions.\n", + "[80000/414113] Tokenized the captions.\n", + "[81000/414113] Tokenized the captions.\n", + "[82000/414113] Tokenized the captions.\n", + "[83000/414113] Tokenized the captions.\n", + "[84000/414113] Tokenized the captions.\n", + "[85000/414113] Tokenized the captions.\n", + "[86000/414113] Tokenized the captions.\n", + "[87000/414113] Tokenized the captions.\n", + "[88000/414113] Tokenized the captions.\n", + "[89000/414113] Tokenized the captions.\n", + "[90000/414113] Tokenized the captions.\n", + "[91000/414113] Tokenized the captions.\n", + "[92000/414113] Tokenized the captions.\n", + "[93000/414113] Tokenized the captions.\n", + "[94000/414113] Tokenized the captions.\n", + "[95000/414113] Tokenized the captions.\n", + "[96000/414113] Tokenized the captions.\n", + "[97000/414113] Tokenized the captions.\n", + "[98000/414113] Tokenized the captions.\n", + "[99000/414113] Tokenized the captions.\n", + "[100000/414113] Tokenized the captions.\n", + "[101000/414113] Tokenized the captions.\n", + "[102000/414113] Tokenized the captions.\n", + "[103000/414113] Tokenized the captions.\n", + "[104000/414113] Tokenized the captions.\n", + "[105000/414113] Tokenized the captions.\n", + "[106000/414113] Tokenized the captions.\n", + "[107000/414113] Tokenized the captions.\n", + "[108000/414113] Tokenized the captions.\n", + "[109000/414113] Tokenized the captions.\n", + "[110000/414113] Tokenized the captions.\n", + "[111000/414113] Tokenized the captions.\n", + "[112000/414113] Tokenized the captions.\n", + "[113000/414113] Tokenized the captions.\n", + "[114000/414113] Tokenized the captions.\n", + "[115000/414113] Tokenized the captions.\n", + "[116000/414113] Tokenized the captions.\n", + "[117000/414113] Tokenized the captions.\n", + "[118000/414113] Tokenized the captions.\n", + "[119000/414113] Tokenized the captions.\n", + "[120000/414113] Tokenized the captions.\n", + "[121000/414113] Tokenized the captions.\n", + "[122000/414113] Tokenized the captions.\n", + "[123000/414113] Tokenized the captions.\n", + "[124000/414113] Tokenized the captions.\n", + "[125000/414113] Tokenized the captions.\n", + "[126000/414113] Tokenized the captions.\n", + "[127000/414113] Tokenized the captions.\n", + "[128000/414113] Tokenized the captions.\n", + "[129000/414113] Tokenized the captions.\n", + "[130000/414113] Tokenized the captions.\n", + "[131000/414113] Tokenized the captions.\n", + "[132000/414113] Tokenized the captions.\n", + "[133000/414113] Tokenized the captions.\n", + "[134000/414113] Tokenized the captions.\n", + "[135000/414113] Tokenized the captions.\n", + "[136000/414113] Tokenized the captions.\n", + "[137000/414113] Tokenized the captions.\n", + "[138000/414113] Tokenized the captions.\n", + "[139000/414113] Tokenized the captions.\n", + "[140000/414113] Tokenized the captions.\n", + "[141000/414113] Tokenized the captions.\n", + "[142000/414113] Tokenized the captions.\n", + "[143000/414113] Tokenized the captions.\n", + "[144000/414113] Tokenized the captions.\n", + "[145000/414113] Tokenized the captions.\n", + "[146000/414113] Tokenized the captions.\n", + "[147000/414113] Tokenized the captions.\n", + "[148000/414113] Tokenized the captions.\n", + "[149000/414113] Tokenized the captions.\n", + "[150000/414113] Tokenized the captions.\n", + "[151000/414113] Tokenized the captions.\n", + "[152000/414113] Tokenized the captions.\n", + "[153000/414113] Tokenized the captions.\n", + "[154000/414113] Tokenized the captions.\n", + "[155000/414113] Tokenized the captions.\n", + "[156000/414113] Tokenized the captions.\n", + "[157000/414113] Tokenized the captions.\n", + "[158000/414113] Tokenized the captions.\n", + "[159000/414113] Tokenized the captions.\n", + "[160000/414113] Tokenized the captions.\n", + "[161000/414113] Tokenized the captions.\n", + "[162000/414113] Tokenized the captions.\n", + "[163000/414113] Tokenized the captions.\n", + "[164000/414113] Tokenized the captions.\n", + "[165000/414113] Tokenized the captions.\n", + "[166000/414113] Tokenized the captions.\n", + "[167000/414113] Tokenized the captions.\n", + "[168000/414113] Tokenized the captions.\n", + "[169000/414113] Tokenized the captions.\n", + "[170000/414113] Tokenized the captions.\n", + "[171000/414113] Tokenized the captions.\n", + "[172000/414113] Tokenized the captions.\n", + "[173000/414113] Tokenized the captions.\n", + "[174000/414113] Tokenized the captions.\n", + "[175000/414113] Tokenized the captions.\n", + "[176000/414113] Tokenized the captions.\n", + "[177000/414113] Tokenized the captions.\n", + "[178000/414113] Tokenized the captions.\n", + "[179000/414113] Tokenized the captions.\n", + "[180000/414113] Tokenized the captions.\n", + "[181000/414113] Tokenized the captions.\n", + "[182000/414113] Tokenized the captions.\n", + "[183000/414113] Tokenized the captions.\n", + "[184000/414113] Tokenized the captions.\n", + "[185000/414113] Tokenized the captions.\n", + "[186000/414113] Tokenized the captions.\n", + "[187000/414113] Tokenized the captions.\n", + "[188000/414113] Tokenized the captions.\n", + "[189000/414113] Tokenized the captions.\n", + "[190000/414113] Tokenized the captions.\n", + "[191000/414113] Tokenized the captions.\n", + "[192000/414113] Tokenized the captions.\n", + "[193000/414113] Tokenized the captions.\n", + "[194000/414113] Tokenized the captions.\n", + "[195000/414113] Tokenized the captions.\n", + "[196000/414113] Tokenized the captions.\n", + "[197000/414113] Tokenized the captions.\n", + "[198000/414113] Tokenized the captions.\n", + "[199000/414113] Tokenized the captions.\n", + "[200000/414113] Tokenized the captions.\n", + "[201000/414113] Tokenized the captions.\n", + "[202000/414113] Tokenized the captions.\n", + "[203000/414113] Tokenized the captions.\n", + "[204000/414113] Tokenized the captions.\n", + "[205000/414113] Tokenized the captions.\n", + "[206000/414113] Tokenized the captions.\n", + "[207000/414113] Tokenized the captions.\n", + "[208000/414113] Tokenized the captions.\n", + "[209000/414113] Tokenized the captions.\n", + "[210000/414113] Tokenized the captions.\n", + "[211000/414113] Tokenized the captions.\n", + "[212000/414113] Tokenized the captions.\n", + "[213000/414113] Tokenized the captions.\n", + "[214000/414113] Tokenized the captions.\n", + "[215000/414113] Tokenized the captions.\n", + "[216000/414113] Tokenized the captions.\n", + "[217000/414113] Tokenized the captions.\n", + "[218000/414113] Tokenized the captions.\n", + "[219000/414113] Tokenized the captions.\n", + "[220000/414113] Tokenized the captions.\n", + "[221000/414113] Tokenized the captions.\n", + "[222000/414113] Tokenized the captions.\n", + "[223000/414113] Tokenized the captions.\n", + "[224000/414113] Tokenized the captions.\n", + "[225000/414113] Tokenized the captions.\n", + "[226000/414113] Tokenized the captions.\n", + "[227000/414113] Tokenized the captions.\n", + "[228000/414113] Tokenized the captions.\n", + "[229000/414113] Tokenized the captions.\n", + "[230000/414113] Tokenized the captions.\n", + "[231000/414113] Tokenized the captions.\n", + "[232000/414113] Tokenized the captions.\n", + "[233000/414113] Tokenized the captions.\n", + "[234000/414113] Tokenized the captions.\n", + "[235000/414113] Tokenized the captions.\n", + "[236000/414113] Tokenized the captions.\n", + "[237000/414113] Tokenized the captions.\n", + "[238000/414113] Tokenized the captions.\n", + "[239000/414113] Tokenized the captions.\n", + "[240000/414113] Tokenized the captions.\n", + "[241000/414113] Tokenized the captions.\n", + "[242000/414113] Tokenized the captions.\n", + "[243000/414113] Tokenized the captions.\n", + "[244000/414113] Tokenized the captions.\n", + "[245000/414113] Tokenized the captions.\n", + "[246000/414113] Tokenized the captions.\n", + "[247000/414113] Tokenized the captions.\n", + "[248000/414113] Tokenized the captions.\n", + "[249000/414113] Tokenized the captions.\n", + "[250000/414113] Tokenized the captions.\n", + "[251000/414113] Tokenized the captions.\n", + "[252000/414113] Tokenized the captions.\n", + "[253000/414113] Tokenized the captions.\n", + "[254000/414113] Tokenized the captions.\n", + "[255000/414113] Tokenized the captions.\n", + "[256000/414113] Tokenized the captions.\n", + "[257000/414113] Tokenized the captions.\n", + "[258000/414113] Tokenized the captions.\n", + "[259000/414113] Tokenized the captions.\n", + "[260000/414113] Tokenized the captions.\n", + "[261000/414113] Tokenized the captions.\n", + "[262000/414113] Tokenized the captions.\n", + "[263000/414113] Tokenized the captions.\n", + "[264000/414113] Tokenized the captions.\n", + "[265000/414113] Tokenized the captions.\n", + "[266000/414113] Tokenized the captions.\n", + "[267000/414113] Tokenized the captions.\n", + "[268000/414113] Tokenized the captions.\n", + "[269000/414113] Tokenized the captions.\n", + "[270000/414113] Tokenized the captions.\n", + "[271000/414113] Tokenized the captions.\n", + "[272000/414113] Tokenized the captions.\n", + "[273000/414113] Tokenized the captions.\n", + "[274000/414113] Tokenized the captions.\n", + "[275000/414113] Tokenized the captions.\n", + "[276000/414113] Tokenized the captions.\n", + "[277000/414113] Tokenized the captions.\n", + "[278000/414113] Tokenized the captions.\n", + "[279000/414113] Tokenized the captions.\n", + "[280000/414113] Tokenized the captions.\n", + "[281000/414113] Tokenized the captions.\n", + "[282000/414113] Tokenized the captions.\n", + "[283000/414113] Tokenized the captions.\n", + "[284000/414113] Tokenized the captions.\n", + "[285000/414113] Tokenized the captions.\n", + "[286000/414113] Tokenized the captions.\n", + "[287000/414113] Tokenized the captions.\n", + "[288000/414113] Tokenized the captions.\n", + "[289000/414113] Tokenized the captions.\n", + "[290000/414113] Tokenized the captions.\n", + "[291000/414113] Tokenized the captions.\n", + "[292000/414113] Tokenized the captions.\n", + "[293000/414113] Tokenized the captions.\n", + "[294000/414113] Tokenized the captions.\n", + "[295000/414113] Tokenized the captions.\n", + "[296000/414113] Tokenized the captions.\n", + "[297000/414113] Tokenized the captions.\n", + "[298000/414113] Tokenized the captions.\n", + "[299000/414113] Tokenized the captions.\n", + "[300000/414113] Tokenized the captions.\n", + "[301000/414113] Tokenized the captions.\n", + "[302000/414113] Tokenized the captions.\n", + "[303000/414113] Tokenized the captions.\n", + "[304000/414113] Tokenized the captions.\n", + "[305000/414113] Tokenized the captions.\n", + "[306000/414113] Tokenized the captions.\n", + "[307000/414113] Tokenized the captions.\n", + "[308000/414113] Tokenized the captions.\n", + "[309000/414113] Tokenized the captions.\n", + "[310000/414113] Tokenized the captions.\n", + "[311000/414113] Tokenized the captions.\n", + "[312000/414113] Tokenized the captions.\n", + "[313000/414113] Tokenized the captions.\n", + "[314000/414113] Tokenized the captions.\n", + "[315000/414113] Tokenized the captions.\n", + "[316000/414113] Tokenized the captions.\n", + "[317000/414113] Tokenized the captions.\n", + "[318000/414113] Tokenized the captions.\n", + "[319000/414113] Tokenized the captions.\n", + "[320000/414113] Tokenized the captions.\n", + "[321000/414113] Tokenized the captions.\n", + "[322000/414113] Tokenized the captions.\n", + "[323000/414113] Tokenized the captions.\n", + "[324000/414113] Tokenized the captions.\n", + "[325000/414113] Tokenized the captions.\n", + "[326000/414113] Tokenized the captions.\n", + "[327000/414113] Tokenized the captions.\n", + "[328000/414113] Tokenized the captions.\n", + "[329000/414113] Tokenized the captions.\n", + "[330000/414113] Tokenized the captions.\n", + "[331000/414113] Tokenized the captions.\n", + "[332000/414113] Tokenized the captions.\n", + "[333000/414113] Tokenized the captions.\n", + "[334000/414113] Tokenized the captions.\n", + "[335000/414113] Tokenized the captions.\n", + "[336000/414113] Tokenized the captions.\n", + "[337000/414113] Tokenized the captions.\n", + "[338000/414113] Tokenized the captions.\n", + "[339000/414113] Tokenized the captions.\n", + "[340000/414113] Tokenized the captions.\n", + "[341000/414113] Tokenized the captions.\n", + "[342000/414113] Tokenized the captions.\n", + "[343000/414113] Tokenized the captions.\n", + "[344000/414113] Tokenized the captions.\n", + "[345000/414113] Tokenized the captions.\n", + "[346000/414113] Tokenized the captions.\n", + "[347000/414113] Tokenized the captions.\n", + "[348000/414113] Tokenized the captions.\n", + "[349000/414113] Tokenized the captions.\n", + "[350000/414113] Tokenized the captions.\n", + "[351000/414113] Tokenized the captions.\n", + "[352000/414113] Tokenized the captions.\n", + "[353000/414113] Tokenized the captions.\n", + "[354000/414113] Tokenized the captions.\n", + "[355000/414113] Tokenized the captions.\n", + "[356000/414113] Tokenized the captions.\n", + "[357000/414113] Tokenized the captions.\n", + "[358000/414113] Tokenized the captions.\n", + "[359000/414113] Tokenized the captions.\n", + "[360000/414113] Tokenized the captions.\n", + "[361000/414113] Tokenized the captions.\n", + "[362000/414113] Tokenized the captions.\n", + "[363000/414113] Tokenized the captions.\n", + "[364000/414113] Tokenized the captions.\n", + "[365000/414113] Tokenized the captions.\n", + "[366000/414113] Tokenized the captions.\n", + "[367000/414113] Tokenized the captions.\n", + "[368000/414113] Tokenized the captions.\n", + "[369000/414113] Tokenized the captions.\n", + "[370000/414113] Tokenized the captions.\n", + "[371000/414113] Tokenized the captions.\n", + "[372000/414113] Tokenized the captions.\n", + "[373000/414113] Tokenized the captions.\n", + "[374000/414113] Tokenized the captions.\n", + "[375000/414113] Tokenized the captions.\n", + "[376000/414113] Tokenized the captions.\n", + "[377000/414113] Tokenized the captions.\n", + "[378000/414113] Tokenized the captions.\n", + "[379000/414113] Tokenized the captions.\n", + "[380000/414113] Tokenized the captions.\n", + "[381000/414113] Tokenized the captions.\n", + "[382000/414113] Tokenized the captions.\n", + "[383000/414113] Tokenized the captions.\n", + "[384000/414113] Tokenized the captions.\n", + "[385000/414113] Tokenized the captions.\n", + "[386000/414113] Tokenized the captions.\n", + "[387000/414113] Tokenized the captions.\n", + "[388000/414113] Tokenized the captions.\n", + "[389000/414113] Tokenized the captions.\n", + "[390000/414113] Tokenized the captions.\n", + "[391000/414113] Tokenized the captions.\n", + "[392000/414113] Tokenized the captions.\n", + "[393000/414113] Tokenized the captions.\n", + "[394000/414113] Tokenized the captions.\n", + "[395000/414113] Tokenized the captions.\n", + "[396000/414113] Tokenized the captions.\n", + "[397000/414113] Tokenized the captions.\n", + "[398000/414113] Tokenized the captions.\n", + "[399000/414113] Tokenized the captions.\n", + "[400000/414113] Tokenized the captions.\n", + "[401000/414113] Tokenized the captions.\n", + "[402000/414113] Tokenized the captions.\n", + "[403000/414113] Tokenized the captions.\n", + "[404000/414113] Tokenized the captions.\n", + "[405000/414113] Tokenized the captions.\n", + "[406000/414113] Tokenized the captions.\n", + "[407000/414113] Tokenized the captions.\n", + "[408000/414113] Tokenized the captions.\n", + "[409000/414113] Tokenized the captions.\n", + "[410000/414113] Tokenized the captions.\n", + "[411000/414113] Tokenized the captions.\n", + "[412000/414113] Tokenized the captions.\n", + "[413000/414113] Tokenized the captions.\n", + "[414000/414113] Tokenized the captions.\n", + "Total vocabulary size: 9948\n", + "Saved the vocabulary wrapper to './data_dir/vocabulary.pkl'\n" + ] + } + ], + "source": [ + "import os\n", + "import nltk\n", + "import pickle\n", + "import numpy as np\n", + "from PIL import Image\n", + "from collections import Counter\n", + "from pycocotools.coco import COCO\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import torch\n", + "import torch.nn as nn\n", + "import torch.utils.data as data\n", + "from torchvision import transforms\n", + "import torchvision.models as models\n", + "import torchvision.transforms as transforms\n", + "from torch.nn.utils.rnn import pack_padded_sequence\n", + "\n", + "nltk.download(\"punkt\") # download its punkt tokenizer model\n", + "\n", + "class Vocab(object):\n", + " \"\"\"Simple vocabulary wrapper.\"\"\"\n", + " def __init__(self):\n", + " self.w2i = {}\n", + " self.i2w = {}\n", + " self.index = 0\n", + "\n", + " def __call__(self, token):\n", + " if not token in self.w2i:\n", + " return self.w2i['']\n", + " return self.w2i[token]\n", + "\n", + " def __len__(self):\n", + " return len(self.w2i)\n", + " def add_token(self, token):\n", + " if not token in self.w2i:\n", + " self.w2i[token] = self.index\n", + " self.i2w[self.index] = token\n", + " self.index += 1\n", + "\n", + "def build_vocabulary(json, threshold):\n", + " \"\"\"Build a simple vocabulary wrapper.\"\"\"\n", + " coco = COCO(json)\n", + " counter = Counter()\n", + " ids = coco.anns.keys()\n", + " for i, id in enumerate(ids):\n", + " caption = str(coco.anns[id]['caption'])\n", + " tokens = nltk.tokenize.word_tokenize(caption.lower())\n", + " counter.update(tokens)\n", + "\n", + " if (i+1) % 1000 == 0:\n", + " print(\"[{}/{}] Tokenized the captions.\".format(i+1, len(ids)))\n", + "\n", + " # If the word frequency is less than 'threshold', then the word is discarded.\n", + " tokens = [token for token, cnt in counter.items() if cnt >= threshold]\n", + "\n", + " # Create a vocab wrapper and add some special tokens.\n", + " vocab = Vocab()\n", + " vocab.add_token('')\n", + " vocab.add_token('')\n", + " vocab.add_token('')\n", + " vocab.add_token('')\n", + "\n", + " # Add the words to the vocabulary.\n", + " for i, token in enumerate(tokens):\n", + " vocab.add_token(token)\n", + " return vocab\n", + "\n", + "vocab = build_vocabulary(json='data_dir/annotations/captions_train2014.json', threshold=4)\n", + "vocab_path = './data_dir/vocabulary.pkl'\n", + "with open(vocab_path, 'wb') as f:\n", + " pickle.dump(vocab, f)\n", + "print(\"Total vocabulary size: {}\".format(len(vocab)))\n", + "print(\"Saved the vocabulary wrapper to '{}'\".format(vocab_path))\n" + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "fZWl6iOEhOJm" + }, + "id": "fZWl6iOEhOJm" + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "7flM5f6xhHr6" + }, + "id": "7flM5f6xhHr6" + }, + { + "cell_type": "markdown", + "source": [ + "## Preprocessing images" + ], + "metadata": { + "id": "pGEmbsx-AAfJ" + }, + "id": "pGEmbsx-AAfJ" + }, + { + "cell_type": "code", + "source": [ + "def reshape_image(image, shape):\n", + " \"\"\"Resize an image to the given shape.\"\"\"\n", + " # return image.resize(shape, Image.ANTIALIAS): MFT ANTIALIAS is removed since version 10, using LANCZOS instead\n", + " return image.resize(shape, Image.LANCZOS)\n", + "\n", + "def reshape_images(image_path, output_path, shape):\n", + " \"\"\"Reshape the images in 'image_path' and save into 'output_path'.\"\"\"\n", + " if not os.path.exists(output_path):\n", + " os.makedirs(output_path)\n", + "\n", + " images = os.listdir(image_path)\n", + " num_im = len(images)\n", + " for i, im in enumerate(images):\n", + " with open(os.path.join(image_path, im), 'r+b') as f:\n", + " with Image.open(f) as image:\n", + " image = reshape_image(image, shape)\n", + " image.save(os.path.join(output_path, im), image.format)\n", + " if (i+1) % 100 == 0:\n", + " print (\"[{}/{}] Resized the images and saved into '{}'.\"\n", + " .format(i+1, num_im, output_path))\n", + "\n", + "image_path = './data_dir/train2014/'\n", + "output_path = './data_dir/resized_images/'\n", + "image_shape = [256, 256]\n", + "reshape_images(image_path, output_path, image_shape)" + ], + "metadata": { + "id": "EBIiSakwAC6l", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "7c6a8f65-fd7f-4c68-c193-5255d28cd50e" + }, + "id": "EBIiSakwAC6l", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[1900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[2900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[3900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[4900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[5900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[6900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[7900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[8900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[9900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[10900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[11900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[12900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[13900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[14900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[15900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[16900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[17900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[18900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[19900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[20900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[21900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[22900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[23900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[24900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[25900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[26900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[27900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[28900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[29900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[30900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[31900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[32900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[33900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[34900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[35900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[36900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[37900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[38900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[39900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[40900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[41900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[42900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[43900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[44900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[45900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[46900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[47900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[48900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[49900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[50900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[51900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[52900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[53900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[54900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[55900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[56900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[57900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[58900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[59900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[60900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[61900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[62900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[63900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[64900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[65900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[66900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[67900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[68900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[69900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[70900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[71900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[72900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[73900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[74900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[75900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[76900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[77900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[78900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[79900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[80900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81700/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81800/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[81900/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82000/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82100/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82200/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82300/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82400/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82500/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82600/82783] Resized the images and saved into './data_dir/resized_images/'.\n", + "[82700/82783] Resized the images and saved into './data_dir/resized_images/'.\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Instantiate the data loader" + ], + "metadata": { + "id": "TIzJFYI3AI0u" + }, + "id": "TIzJFYI3AI0u" + }, + { + "cell_type": "code", + "source": [ + "class CustomCocoDataset(data.Dataset):\n", + " \"\"\"COCO Custom Dataset compatible with torch.utils.data.DataLoader.\"\"\"\n", + " def __init__(self, data_path, coco_json_path, vocabulary, transform=None):\n", + " \"\"\"Set the path for images, captions and vocabulary wrapper.\n", + "\n", + " Args:\n", + " root: image directory.\n", + " json: coco annotation file path.\n", + " vocab: vocabulary wrapper.\n", + " transform: image transformer.\n", + " \"\"\"\n", + " self.root = data_path\n", + " self.coco_data = COCO(coco_json_path)\n", + " self.indices = list(self.coco_data.anns.keys())\n", + " self.vocabulary = vocabulary\n", + " self.transform = transform\n", + "\n", + " def __getitem__(self, idx):\n", + " \"\"\"Returns one data pair (image and caption).\"\"\"\n", + " coco_data = self.coco_data\n", + " vocabulary = self.vocabulary\n", + " annotation_id = self.indices[idx]\n", + " caption = coco_data.anns[annotation_id]['caption']\n", + " image_id = coco_data.anns[annotation_id]['image_id']\n", + " image_path = coco_data.loadImgs(image_id)[0]['file_name']\n", + "\n", + " image = Image.open(os.path.join(self.root, image_path)).convert('RGB')\n", + " if self.transform is not None:\n", + " image = self.transform(image)\n", + "\n", + " # Convert caption (string) to word ids.\n", + " word_tokens = nltk.tokenize.word_tokenize(str(caption).lower())\n", + " caption = []\n", + " caption.append(vocabulary(''))\n", + " caption.extend([vocabulary(token) for token in word_tokens])\n", + " caption.append(vocabulary(''))\n", + " ground_truth = torch.Tensor(caption)\n", + " return image, ground_truth\n", + "\n", + " def __len__(self):\n", + " return len(self.indices)\n", + "\n", + "def collate_function(data_batch):\n", + " \"\"\"Creates mini-batch tensors from the list of tuples (image, caption).\n", + "\n", + " We should build custom collate_fn rather than using default collate_fn,\n", + " because merging caption (including padding) is not supported in default.\n", + " Args:\n", + " data: list of tuple (image, caption).\n", + " - image: torch tensor of shape (3, 256, 256).\n", + " - caption: torch tensor of shape (?); variable length.\n", + " Returns:\n", + " images: torch tensor of shape (batch_size, 3, 256, 256).\n", + " targets: torch tensor of shape (batch_size, padded_length).\n", + " lengths: list; valid length for each padded caption.\n", + " \"\"\"\n", + " # Sort a data list by caption length (descending order).\n", + " data_batch.sort(key=lambda d: len(d[1]), reverse=True)\n", + " imgs, caps = zip(*data_batch)\n", + "\n", + " # Merge images (from list of 3D tensors to 4D tensor).\n", + " # Originally, imgs is a list of number of RGB images with dimensions (3, 256, 256)\n", + " # This line of code turns it into a single tensor of dimensions (, 3, 256, 256)\n", + " imgs = torch.stack(imgs, 0)\n", + "\n", + " # Merge captions (from list of 1D tensors to 2D tensor), similar to merging of images donw above.\n", + " cap_lens = [len(cap) for cap in caps]\n", + " tgts = torch.zeros(len(caps), max(cap_lens)).long()\n", + " for i, cap in enumerate(caps):\n", + " end = cap_lens[i]\n", + " tgts[i, :end] = cap[:end]\n", + " return imgs, tgts, cap_lens\n", + "\n", + "def get_loader(data_path, coco_json_path, vocabulary, transform, batch_size, shuffle, num_workers):\n", + " \"\"\"Returns torch.utils.data.DataLoader for custom coco dataset.\"\"\"\n", + " # COCO caption dataset\n", + " coco_dataser = CustomCocoDataset(data_path=data_path,\n", + " coco_json_path=coco_json_path,\n", + " vocabulary=vocabulary,\n", + " transform=transform)\n", + "\n", + " # Data loader for COCO dataset\n", + " # This will return (images, captions, lengths) for each iteration.\n", + " # images: a tensor of shape (batch_size, 3, 224, 224).\n", + " # captions: a tensor of shape (batch_size, padded_length).\n", + " # lengths: a list indicating valid length for each caption. length is (batch_size).\n", + " custom_data_loader = torch.utils.data.DataLoader(dataset=coco_dataser,\n", + " batch_size=batch_size,\n", + " shuffle=shuffle,\n", + " num_workers=num_workers,\n", + " collate_fn=collate_function)\n", + " return custom_data_loader" + ], + "metadata": { + "id": "r1UxvCXOAU0F" + }, + "id": "r1UxvCXOAU0F", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Model definition" + ], + "metadata": { + "id": "q070kONTAnFk" + }, + "id": "q070kONTAnFk" + }, + { + "cell_type": "code", + "source": [ + "class CNNModel(nn.Module):\n", + " def __init__(self, embedding_size):\n", + " \"\"\"Load the pretrained ResNet-152 and replace top fc layer.\"\"\"\n", + " super(CNNModel, self).__init__()\n", + " resnet = models.resnet152(pretrained=True)\n", + " module_list = list(resnet.children())[:-1] # delete the last fc layer.\n", + " self.resnet_module = nn.Sequential(*module_list)\n", + " self.linear_layer = nn.Linear(resnet.fc.in_features, embedding_size)\n", + " self.batch_norm = nn.BatchNorm1d(embedding_size, momentum=0.01)\n", + "\n", + " def forward(self, input_images):\n", + " \"\"\"Extract feature vectors from input images.\"\"\"\n", + " with torch.no_grad():\n", + " resnet_features = self.resnet_module(input_images)\n", + " resnet_features = resnet_features.reshape(resnet_features.size(0), -1)\n", + " final_features = self.batch_norm(self.linear_layer(resnet_features))\n", + " return final_features" + ], + "metadata": { + "id": "Pww05tehAo4b" + }, + "id": "Pww05tehAo4b", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "class LSTMModel(nn.Module):\n", + " def __init__(self, embedding_size, hidden_layer_size, vocabulary_size, num_layers, max_seq_len=20):\n", + " \"\"\"Set the hyper-parameters and build the layers.\"\"\"\n", + " super(LSTMModel, self).__init__()\n", + " self.embedding_layer = nn.Embedding(vocabulary_size, embedding_size)\n", + " self.lstm_layer = nn.LSTM(embedding_size, hidden_layer_size, num_layers, batch_first=True)\n", + " self.linear_layer = nn.Linear(hidden_layer_size, vocabulary_size)\n", + " self.max_seq_len = max_seq_len\n", + "\n", + " def forward(self, input_features, capts, lens):\n", + " \"\"\"Decode image feature vectors and generates captions.\"\"\"\n", + " embeddings = self.embedding_layer(caps)\n", + " embeddings = torch.cat((input_features.unsqueeze(1), embeddings), 1)\n", + " lstm_input = pack_padded_sequence(embeddings, lens, batch_first=True)\n", + " hidden_variables, _ = self.lstm_layer(lstm_input)\n", + " model_outputs = self.linear_layer(hidden_variables[0])\n", + " return model_outputs\n", + "\n", + " def sample(self, input_features, lstm_states=None):\n", + " \"\"\"Generate captions for given image features using greedy search.\"\"\"\n", + " sampled_indices = []\n", + " lstm_inputs = input_features.unsqueeze(1)\n", + " for i in range(self.max_seq_len):\n", + " hidden_variables, lstm_states = self.lstm_layer(lstm_inputs, lstm_states) # hiddens: (batch_size, 1, hidden_size)\n", + " model_outputs = self.linear_layer(hidden_variables.squeeze(1)) # outputs: (batch_size, vocab_size)\n", + " _, predicted_outputs = model_outputs.max(1) # predicted: (batch_size)\n", + " sampled_indices.append(predicted_outputs)\n", + " lstm_inputs = self.embedding_layer(predicted_outputs) # inputs: (batch_size, embed_size)\n", + " lstm_inputs = lstm_inputs.unsqueeze(1) # inputs: (batch_size, 1, embed_size)\n", + " sampled_indices = torch.stack(sampled_indices, 1) # sampled_ids: (batch_size, max_seq_length)\n", + " return sampled_indices" + ], + "metadata": { + "id": "3OlB1hXhAtFW" + }, + "id": "3OlB1hXhAtFW", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Training procedure and experiment" + ], + "metadata": { + "id": "ElObB8F8BGcd" + }, + "id": "ElObB8F8BGcd" + }, + { + "cell_type": "code", + "source": [ + "# Device configuration\n", + "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", + "\n", + "\n", + "# Create model directory\n", + "if not os.path.exists('models_dir/'):\n", + " os.makedirs('models_dir/')\n", + "\n", + "\n", + "# Image preprocessing, normalization for the pretrained resnet\n", + "transform = transforms.Compose([\n", + " transforms.RandomCrop(224),\n", + " transforms.RandomHorizontalFlip(),\n", + " transforms.ToTensor(),\n", + " transforms.Normalize((0.485, 0.456, 0.406),\n", + " (0.229, 0.224, 0.225))])\n", + "\n", + "\n", + "# Load vocabulary wrapper\n", + "with open('data_dir/vocabulary.pkl', 'rb') as f:\n", + " vocabulary = pickle.load(f)\n", + "\n", + "# Build data loader\n", + "custom_data_loader = get_loader('data_dir/resized_images', 'data_dir/annotations/captions_train2014.json', vocabulary,\n", + " transform, 128,\n", + " shuffle=True, num_workers=2)\n", + "\n", + "\n", + "# Build the models\n", + "encoder_model = CNNModel(256).to(device)\n", + "decoder_model = LSTMModel(256, 512, len(vocabulary), 1).to(device)\n", + "\n", + "\n", + "# Loss and optimizer\n", + "loss_criterion = nn.CrossEntropyLoss()\n", + "parameters = list(decoder_model.parameters()) + list(encoder_model.linear_layer.parameters()) + list(encoder_model.batch_norm.parameters())\n", + "optimizer = torch.optim.Adam(parameters, lr=0.001)\n", + "\n", + "# Train the models\n", + "total_num_steps = len(custom_data_loader)\n", + "for epoch in range(5):\n", + " for i, (imgs, caps, lens) in enumerate(custom_data_loader):\n", + "\n", + " # Set mini-batch dataset\n", + " imgs = imgs.to(device)\n", + " caps = caps.to(device)\n", + " tgts = pack_padded_sequence(caps, lens, batch_first=True)[0]\n", + "\n", + " # Forward, backward and optimize\n", + " feats = encoder_model(imgs)\n", + " outputs = decoder_model(feats, caps, lens)\n", + " loss = loss_criterion(outputs, tgts)\n", + " decoder_model.zero_grad()\n", + " encoder_model.zero_grad()\n", + " loss.backward()\n", + " optimizer.step()\n", + "\n", + " # Print log info\n", + " if i % 10 == 0:\n", + " print('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}, Perplexity: {:5.4f}'\n", + " .format(epoch, 5, i, total_num_steps, loss.item(), np.exp(loss.item())))\n", + "\n", + " # Save the model checkpoints\n", + " if (i+1) % 1000 == 0:\n", + " torch.save(decoder_model.state_dict(), os.path.join(\n", + " 'models_dir/', 'decoder-{}-{}.ckpt'.format(epoch+1, i+1)))\n", + " torch.save(encoder_model.state_dict(), os.path.join(\n", + " 'models_dir/', 'encoder-{}-{}.ckpt'.format(epoch+1, i+1)))" + ], + "metadata": { + "id": "Fj9dCuXGBN7W", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "ff1dabdf-4705-4b45-db0b-b4e9db8565c1" + }, + "id": "Fj9dCuXGBN7W", + "execution_count": null, + "outputs": [ + { + "metadata": { + "tags": null + }, + "name": "stdout", + "output_type": "stream", + "text": [ + "loading annotations into memory...\n", + "Done (t=1.61s)\n", + "creating index...\n", + "index created!\n" + ] + }, + { + "metadata": { + "tags": null + }, + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet152_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet152_Weights.DEFAULT` to get the most up-to-date weights.\n", + " warnings.warn(msg)\n", + "Downloading: \"https://download.pytorch.org/models/resnet152-394f9c45.pth\" to /root/.cache/torch/hub/checkpoints/resnet152-394f9c45.pth\n", + "100%|██████████| 230M/230M [00:01<00:00, 225MB/s]\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch [0/5], Step [0/3236], Loss: 9.2180, Perplexity: 10077.1348\n", + "Epoch [0/5], Step [10/3236], Loss: 5.8167, Perplexity: 335.8707\n", + "Epoch [0/5], Step [20/3236], Loss: 5.3448, Perplexity: 209.5077\n", + "Epoch [0/5], Step [30/3236], Loss: 5.0236, Perplexity: 151.9559\n", + "Epoch [0/5], Step [40/3236], Loss: 4.5944, Perplexity: 98.9266\n", + "Epoch [0/5], Step [50/3236], Loss: 4.3648, Perplexity: 78.6370\n", + "Epoch [0/5], Step [60/3236], Loss: 4.1521, Perplexity: 63.5654\n", + "Epoch [0/5], Step [70/3236], Loss: 4.1699, Perplexity: 64.7085\n", + "Epoch [0/5], Step [80/3236], Loss: 3.8710, Perplexity: 47.9900\n", + "Epoch [0/5], Step [90/3236], Loss: 3.8685, Perplexity: 47.8701\n", + "Epoch [0/5], Step [100/3236], Loss: 3.8279, Perplexity: 45.9676\n", + "Epoch [0/5], Step [110/3236], Loss: 3.8586, Perplexity: 47.3980\n", + "Epoch [0/5], Step [120/3236], Loss: 3.8800, Perplexity: 48.4266\n", + "Epoch [0/5], Step [130/3236], Loss: 3.9180, Perplexity: 50.3010\n", + "Epoch [0/5], Step [140/3236], Loss: 3.6508, Perplexity: 38.5049\n", + "Epoch [0/5], Step [150/3236], Loss: 3.6693, Perplexity: 39.2237\n", + "Epoch [0/5], Step [160/3236], Loss: 3.7134, Perplexity: 40.9925\n", + "Epoch [0/5], Step [170/3236], Loss: 3.6284, Perplexity: 37.6536\n", + "Epoch [0/5], Step [180/3236], Loss: 3.4255, Perplexity: 30.7391\n", + "Epoch [0/5], Step [190/3236], Loss: 3.4132, Perplexity: 30.3610\n", + "Epoch [0/5], Step [200/3236], Loss: 3.3894, Perplexity: 29.6473\n", + "Epoch [0/5], Step [210/3236], Loss: 3.3816, Perplexity: 29.4172\n", + "Epoch [0/5], Step [220/3236], Loss: 3.4055, Perplexity: 30.1291\n", + "Epoch [0/5], Step [230/3236], Loss: 3.2591, Perplexity: 26.0270\n", + "Epoch [0/5], Step [240/3236], Loss: 3.3839, Perplexity: 29.4853\n", + "Epoch [0/5], Step [250/3236], Loss: 3.3755, Perplexity: 29.2393\n", + "Epoch [0/5], Step [260/3236], Loss: 3.4029, Perplexity: 30.0497\n", + "Epoch [0/5], Step [270/3236], Loss: 3.4453, Perplexity: 31.3540\n", + "Epoch [0/5], Step [280/3236], Loss: 3.2067, Perplexity: 24.6978\n", + "Epoch [0/5], Step [290/3236], Loss: 3.2419, Perplexity: 25.5814\n", + "Epoch [0/5], Step [300/3236], Loss: 3.2009, Perplexity: 24.5536\n", + "Epoch [0/5], Step [310/3236], Loss: 3.1508, Perplexity: 23.3554\n", + "Epoch [0/5], Step [320/3236], Loss: 3.0688, Perplexity: 21.5168\n", + "Epoch [0/5], Step [330/3236], Loss: 3.0693, Perplexity: 21.5263\n", + "Epoch [0/5], Step [340/3236], Loss: 3.2312, Perplexity: 25.3111\n", + "Epoch [0/5], Step [350/3236], Loss: 3.1692, Perplexity: 23.7877\n", + "Epoch [0/5], Step [360/3236], Loss: 3.0855, Perplexity: 21.8791\n", + "Epoch [0/5], Step [370/3236], Loss: 3.1407, Perplexity: 23.1206\n", + "Epoch [0/5], Step [380/3236], Loss: 3.2111, Perplexity: 24.8061\n", + "Epoch [0/5], Step [390/3236], Loss: 3.2088, Perplexity: 24.7485\n", + "Epoch [0/5], Step [400/3236], Loss: 2.8354, Perplexity: 17.0378\n", + "Epoch [0/5], Step [410/3236], Loss: 2.9991, Perplexity: 20.0683\n", + "Epoch [0/5], Step [420/3236], Loss: 3.0217, Perplexity: 20.5261\n", + "Epoch [0/5], Step [430/3236], Loss: 3.1169, Perplexity: 22.5753\n", + "Epoch [0/5], Step [440/3236], Loss: 2.7997, Perplexity: 16.4392\n", + "Epoch [0/5], Step [450/3236], Loss: 2.9895, Perplexity: 19.8757\n", + "Epoch [0/5], Step [460/3236], Loss: 2.7980, Perplexity: 16.4111\n", + "Epoch [0/5], Step [470/3236], Loss: 2.8955, Perplexity: 18.0923\n", + "Epoch [0/5], Step [480/3236], Loss: 2.8707, Perplexity: 17.6487\n", + "Epoch [0/5], Step [490/3236], Loss: 2.7438, Perplexity: 15.5460\n", + "Epoch [0/5], Step [500/3236], Loss: 2.6255, Perplexity: 13.8110\n", + "Epoch [0/5], Step [510/3236], Loss: 2.8283, Perplexity: 16.9173\n", + "Epoch [0/5], Step [520/3236], Loss: 2.9433, Perplexity: 18.9790\n", + "Epoch [0/5], Step [530/3236], Loss: 2.9123, Perplexity: 18.3996\n", + "Epoch [0/5], Step [540/3236], Loss: 2.9808, Perplexity: 19.7043\n", + "Epoch [0/5], Step [550/3236], Loss: 2.8396, Perplexity: 17.1095\n", + "Epoch [0/5], Step [560/3236], Loss: 2.8207, Perplexity: 16.7885\n", + "Epoch [0/5], Step [570/3236], Loss: 2.8555, Perplexity: 17.3828\n", + "Epoch [0/5], Step [580/3236], Loss: 2.8332, Perplexity: 17.0000\n", + "Epoch [0/5], Step [590/3236], Loss: 2.7906, Perplexity: 16.2915\n", + "Epoch [0/5], Step [600/3236], Loss: 2.7058, Perplexity: 14.9655\n", + "Epoch [0/5], Step [610/3236], Loss: 2.8252, Perplexity: 16.8636\n", + "Epoch [0/5], Step [620/3236], Loss: 2.7098, Perplexity: 15.0268\n", + "Epoch [0/5], Step [630/3236], Loss: 2.7109, Perplexity: 15.0433\n", + "Epoch [0/5], Step [640/3236], Loss: 2.6729, Perplexity: 14.4819\n", + "Epoch [0/5], Step [650/3236], Loss: 2.7317, Perplexity: 15.3590\n", + "Epoch [0/5], Step [660/3236], Loss: 2.7849, Perplexity: 16.1989\n", + "Epoch [0/5], Step [670/3236], Loss: 2.6978, Perplexity: 14.8471\n", + "Epoch [0/5], Step [680/3236], Loss: 2.5746, Perplexity: 13.1259\n", + "Epoch [0/5], Step [690/3236], Loss: 2.6643, Perplexity: 14.3573\n", + "Epoch [0/5], Step [700/3236], Loss: 2.5921, Perplexity: 13.3579\n", + "Epoch [0/5], Step [710/3236], Loss: 2.7224, Perplexity: 15.2163\n", + "Epoch [0/5], Step [720/3236], Loss: 2.5993, Perplexity: 13.4539\n", + "Epoch [0/5], Step [730/3236], Loss: 2.5628, Perplexity: 12.9725\n", + "Epoch [0/5], Step [740/3236], Loss: 2.7388, Perplexity: 15.4685\n", + "Epoch [0/5], Step [750/3236], Loss: 2.6529, Perplexity: 14.1946\n", + "Epoch [0/5], Step [760/3236], Loss: 2.7526, Perplexity: 15.6832\n", + "Epoch [0/5], Step [770/3236], Loss: 2.6709, Perplexity: 14.4528\n", + "Epoch [0/5], Step [780/3236], Loss: 2.6684, Perplexity: 14.4173\n", + "Epoch [0/5], Step [790/3236], Loss: 2.6941, Perplexity: 14.7918\n", + "Epoch [0/5], Step [800/3236], Loss: 2.7308, Perplexity: 15.3449\n", + "Epoch [0/5], Step [810/3236], Loss: 2.7886, Perplexity: 16.2578\n", + "Epoch [0/5], Step [820/3236], Loss: 2.5911, Perplexity: 13.3450\n", + "Epoch [0/5], Step [830/3236], Loss: 2.7580, Perplexity: 15.7690\n", + "Epoch [0/5], Step [840/3236], Loss: 2.6302, Perplexity: 13.8766\n", + "Epoch [0/5], Step [850/3236], Loss: 2.6792, Perplexity: 14.5739\n", + "Epoch [0/5], Step [860/3236], Loss: 2.7585, Perplexity: 15.7762\n", + "Epoch [0/5], Step [870/3236], Loss: 2.6416, Perplexity: 14.0358\n", + "Epoch [0/5], Step [880/3236], Loss: 2.7151, Perplexity: 15.1057\n", + "Epoch [0/5], Step [890/3236], Loss: 2.7860, Perplexity: 16.2166\n", + "Epoch [0/5], Step [900/3236], Loss: 2.6604, Perplexity: 14.3023\n", + "Epoch [0/5], Step [910/3236], Loss: 2.5380, Perplexity: 12.6548\n", + "Epoch [0/5], Step [920/3236], Loss: 2.4815, Perplexity: 11.9592\n", + "Epoch [0/5], Step [930/3236], Loss: 2.5545, Perplexity: 12.8645\n", + "Epoch [0/5], Step [940/3236], Loss: 2.4936, Perplexity: 12.1053\n", + "Epoch [0/5], Step [950/3236], Loss: 2.5954, Perplexity: 13.4018\n", + "Epoch [0/5], Step [960/3236], Loss: 2.5925, Perplexity: 13.3629\n", + "Epoch [0/5], Step [970/3236], Loss: 2.6338, Perplexity: 13.9267\n", + "Epoch [0/5], Step [980/3236], Loss: 2.6005, Perplexity: 13.4706\n", + "Epoch [0/5], Step [990/3236], Loss: 2.4673, Perplexity: 11.7907\n", + "Epoch [0/5], Step [1000/3236], Loss: 2.5861, Perplexity: 13.2784\n", + "Epoch [0/5], Step [1010/3236], Loss: 2.5181, Perplexity: 12.4044\n", + "Epoch [0/5], Step [1020/3236], Loss: 2.6303, Perplexity: 13.8778\n", + "Epoch [0/5], Step [1030/3236], Loss: 2.5198, Perplexity: 12.4264\n", + "Epoch [0/5], Step [1040/3236], Loss: 2.5350, Perplexity: 12.6164\n", + "Epoch [0/5], Step [1050/3236], Loss: 2.5080, Perplexity: 12.2807\n", + "Epoch [0/5], Step [1060/3236], Loss: 2.6113, Perplexity: 13.6162\n", + "Epoch [0/5], Step [1070/3236], Loss: 2.5366, Perplexity: 12.6372\n", + "Epoch [0/5], Step [1080/3236], Loss: 2.5623, Perplexity: 12.9652\n", + "Epoch [0/5], Step [1090/3236], Loss: 2.6244, Perplexity: 13.7959\n", + "Epoch [0/5], Step [1100/3236], Loss: 2.6272, Perplexity: 13.8353\n", + "Epoch [0/5], Step [1110/3236], Loss: 2.6358, Perplexity: 13.9542\n", + "Epoch [0/5], Step [1120/3236], Loss: 2.6442, Perplexity: 14.0726\n", + "Epoch [0/5], Step [1130/3236], Loss: 2.3576, Perplexity: 10.5659\n", + "Epoch [0/5], Step [1140/3236], Loss: 2.5057, Perplexity: 12.2521\n", + "Epoch [0/5], Step [1150/3236], Loss: 2.3510, Perplexity: 10.4964\n", + "Epoch [0/5], Step [1160/3236], Loss: 2.4485, Perplexity: 11.5711\n", + "Epoch [0/5], Step [1170/3236], Loss: 2.6979, Perplexity: 14.8485\n", + "Epoch [0/5], Step [1180/3236], Loss: 2.4113, Perplexity: 11.1489\n", + "Epoch [0/5], Step [1190/3236], Loss: 2.4790, Perplexity: 11.9296\n", + "Epoch [0/5], Step [1200/3236], Loss: 2.4967, Perplexity: 12.1429\n", + "Epoch [0/5], Step [1210/3236], Loss: 2.4249, Perplexity: 11.3014\n", + "Epoch [0/5], Step [1220/3236], Loss: 2.5746, Perplexity: 13.1266\n", + "Epoch [0/5], Step [1230/3236], Loss: 2.5118, Perplexity: 12.3272\n", + "Epoch [0/5], Step [1240/3236], Loss: 2.5271, Perplexity: 12.5171\n", + "Epoch [0/5], Step [1250/3236], Loss: 2.6038, Perplexity: 13.5151\n", + "Epoch [0/5], Step [1260/3236], Loss: 2.4565, Perplexity: 11.6643\n", + "Epoch [0/5], Step [1270/3236], Loss: 2.5151, Perplexity: 12.3677\n", + "Epoch [0/5], Step [1280/3236], Loss: 2.5004, Perplexity: 12.1878\n", + "Epoch [0/5], Step [1290/3236], Loss: 2.4524, Perplexity: 11.6164\n", + "Epoch [0/5], Step [1300/3236], Loss: 2.5414, Perplexity: 12.6969\n", + "Epoch [0/5], Step [1310/3236], Loss: 2.4651, Perplexity: 11.7647\n", + "Epoch [0/5], Step [1320/3236], Loss: 2.3757, Perplexity: 10.7581\n", + "Epoch [0/5], Step [1330/3236], Loss: 2.3096, Perplexity: 10.0708\n", + "Epoch [0/5], Step [1340/3236], Loss: 2.4870, Perplexity: 12.0254\n", + "Epoch [0/5], Step [1350/3236], Loss: 2.5105, Perplexity: 12.3107\n", + "Epoch [0/5], Step [1360/3236], Loss: 2.6649, Perplexity: 14.3666\n", + "Epoch [0/5], Step [1370/3236], Loss: 2.4074, Perplexity: 11.1053\n", + "Epoch [0/5], Step [1380/3236], Loss: 2.4938, Perplexity: 12.1067\n", + "Epoch [0/5], Step [1390/3236], Loss: 2.3985, Perplexity: 11.0067\n", + "Epoch [0/5], Step [1400/3236], Loss: 2.3116, Perplexity: 10.0904\n", + "Epoch [0/5], Step [1410/3236], Loss: 2.5389, Perplexity: 12.6655\n", + "Epoch [0/5], Step [1420/3236], Loss: 2.6082, Perplexity: 13.5752\n", + "Epoch [0/5], Step [1430/3236], Loss: 2.3948, Perplexity: 10.9658\n", + "Epoch [0/5], Step [1440/3236], Loss: 2.3829, Perplexity: 10.8359\n", + "Epoch [0/5], Step [1450/3236], Loss: 2.4971, Perplexity: 12.1469\n", + "Epoch [0/5], Step [1460/3236], Loss: 2.4920, Perplexity: 12.0858\n", + "Epoch [0/5], Step [1470/3236], Loss: 2.3813, Perplexity: 10.8194\n", + "Epoch [0/5], Step [1480/3236], Loss: 2.4569, Perplexity: 11.6683\n", + "Epoch [0/5], Step [1490/3236], Loss: 2.3415, Perplexity: 10.3967\n", + "Epoch [0/5], Step [1500/3236], Loss: 2.4816, Perplexity: 11.9602\n", + "Epoch [0/5], Step [1510/3236], Loss: 2.3927, Perplexity: 10.9425\n", + "Epoch [0/5], Step [1520/3236], Loss: 2.3948, Perplexity: 10.9656\n", + "Epoch [0/5], Step [1530/3236], Loss: 2.4371, Perplexity: 11.4398\n", + "Epoch [0/5], Step [1540/3236], Loss: 2.4630, Perplexity: 11.7401\n", + "Epoch [0/5], Step [1550/3236], Loss: 2.5680, Perplexity: 13.0396\n", + "Epoch [0/5], Step [1560/3236], Loss: 2.4368, Perplexity: 11.4359\n", + "Epoch [0/5], Step [1570/3236], Loss: 2.4737, Perplexity: 11.8658\n", + "Epoch [0/5], Step [1580/3236], Loss: 2.3979, Perplexity: 11.0002\n", + "Epoch [0/5], Step [1590/3236], Loss: 2.5277, Perplexity: 12.5252\n", + "Epoch [0/5], Step [1600/3236], Loss: 2.4800, Perplexity: 11.9411\n", + "Epoch [0/5], Step [1610/3236], Loss: 2.4345, Perplexity: 11.4097\n", + "Epoch [0/5], Step [1620/3236], Loss: 2.5107, Perplexity: 12.3132\n", + "Epoch [0/5], Step [1630/3236], Loss: 2.4295, Perplexity: 11.3533\n", + "Epoch [0/5], Step [1640/3236], Loss: 2.3681, Perplexity: 10.6771\n", + "Epoch [0/5], Step [1650/3236], Loss: 2.3343, Perplexity: 10.3221\n", + "Epoch [0/5], Step [1660/3236], Loss: 2.6051, Perplexity: 13.5322\n", + "Epoch [0/5], Step [1670/3236], Loss: 2.4014, Perplexity: 11.0387\n", + "Epoch [0/5], Step [1680/3236], Loss: 2.4142, Perplexity: 11.1811\n", + "Epoch [0/5], Step [1690/3236], Loss: 2.3454, Perplexity: 10.4376\n", + "Epoch [0/5], Step [1700/3236], Loss: 2.4645, Perplexity: 11.7580\n", + "Epoch [0/5], Step [1710/3236], Loss: 2.4129, Perplexity: 11.1667\n", + "Epoch [0/5], Step [1720/3236], Loss: 2.5034, Perplexity: 12.2242\n", + "Epoch [0/5], Step [1730/3236], Loss: 2.4730, Perplexity: 11.8581\n", + "Epoch [0/5], Step [1740/3236], Loss: 2.4470, Perplexity: 11.5541\n", + "Epoch [0/5], Step [1750/3236], Loss: 2.3671, Perplexity: 10.6665\n", + "Epoch [0/5], Step [1760/3236], Loss: 2.2619, Perplexity: 9.6012\n", + "Epoch [0/5], Step [1770/3236], Loss: 2.3558, Perplexity: 10.5464\n", + "Epoch [0/5], Step [1780/3236], Loss: 2.4181, Perplexity: 11.2246\n", + "Epoch [0/5], Step [1790/3236], Loss: 2.4478, Perplexity: 11.5633\n", + "Epoch [0/5], Step [1800/3236], Loss: 2.4454, Perplexity: 11.5353\n", + "Epoch [0/5], Step [1810/3236], Loss: 2.3839, Perplexity: 10.8475\n", + "Epoch [0/5], Step [1820/3236], Loss: 2.5491, Perplexity: 12.7956\n", + "Epoch [0/5], Step [1830/3236], Loss: 2.4396, Perplexity: 11.4687\n", + "Epoch [0/5], Step [1840/3236], Loss: 2.4380, Perplexity: 11.4505\n", + "Epoch [0/5], Step [1850/3236], Loss: 2.4589, Perplexity: 11.6915\n", + "Epoch [0/5], Step [1860/3236], Loss: 2.4900, Perplexity: 12.0613\n", + "Epoch [0/5], Step [1870/3236], Loss: 2.3555, Perplexity: 10.5435\n", + "Epoch [0/5], Step [1880/3236], Loss: 2.4785, Perplexity: 11.9236\n", + "Epoch [0/5], Step [1890/3236], Loss: 2.4251, Perplexity: 11.3030\n", + "Epoch [0/5], Step [1900/3236], Loss: 2.4307, Perplexity: 11.3663\n", + "Epoch [0/5], Step [1910/3236], Loss: 2.3932, Perplexity: 10.9486\n", + "Epoch [0/5], Step [1920/3236], Loss: 2.2758, Perplexity: 9.7360\n", + "Epoch [0/5], Step [1930/3236], Loss: 2.3100, Perplexity: 10.0743\n", + "Epoch [0/5], Step [1940/3236], Loss: 2.3586, Perplexity: 10.5763\n", + "Epoch [0/5], Step [1950/3236], Loss: 2.4178, Perplexity: 11.2207\n", + "Epoch [0/5], Step [1960/3236], Loss: 2.3999, Perplexity: 11.0217\n", + "Epoch [0/5], Step [1970/3236], Loss: 2.2936, Perplexity: 9.9108\n", + "Epoch [0/5], Step [1980/3236], Loss: 2.3987, Perplexity: 11.0084\n", + "Epoch [0/5], Step [1990/3236], Loss: 2.3702, Perplexity: 10.6995\n", + "Epoch [0/5], Step [2000/3236], Loss: 2.4368, Perplexity: 11.4367\n", + "Epoch [0/5], Step [2010/3236], Loss: 2.3621, Perplexity: 10.6135\n", + "Epoch [0/5], Step [2020/3236], Loss: 2.3535, Perplexity: 10.5219\n", + "Epoch [0/5], Step [2030/3236], Loss: 2.4101, Perplexity: 11.1350\n", + "Epoch [0/5], Step [2040/3236], Loss: 2.2911, Perplexity: 9.8861\n", + "Epoch [0/5], Step [2050/3236], Loss: 2.4102, Perplexity: 11.1367\n", + "Epoch [0/5], Step [2060/3236], Loss: 2.4299, Perplexity: 11.3574\n", + "Epoch [0/5], Step [2070/3236], Loss: 2.5445, Perplexity: 12.7368\n", + "Epoch [0/5], Step [2080/3236], Loss: 2.3380, Perplexity: 10.3606\n", + "Epoch [0/5], Step [2090/3236], Loss: 2.4293, Perplexity: 11.3509\n", + "Epoch [0/5], Step [2100/3236], Loss: 2.3725, Perplexity: 10.7240\n", + "Epoch [0/5], Step [2110/3236], Loss: 2.2283, Perplexity: 9.2839\n", + "Epoch [0/5], Step [2120/3236], Loss: 2.3904, Perplexity: 10.9179\n", + "Epoch [0/5], Step [2130/3236], Loss: 2.2859, Perplexity: 9.8344\n", + "Epoch [0/5], Step [2140/3236], Loss: 2.3872, Perplexity: 10.8830\n", + "Epoch [0/5], Step [2150/3236], Loss: 2.3227, Perplexity: 10.2036\n", + "Epoch [0/5], Step [2160/3236], Loss: 2.3614, Perplexity: 10.6063\n", + "Epoch [0/5], Step [2170/3236], Loss: 2.2554, Perplexity: 9.5390\n", + "Epoch [0/5], Step [2180/3236], Loss: 2.2551, Perplexity: 9.5363\n", + "Epoch [0/5], Step [2190/3236], Loss: 2.3183, Perplexity: 10.1581\n", + "Epoch [0/5], Step [2200/3236], Loss: 2.3159, Perplexity: 10.1344\n", + "Epoch [0/5], Step [2210/3236], Loss: 2.4074, Perplexity: 11.1050\n", + "Epoch [0/5], Step [2220/3236], Loss: 2.2928, Perplexity: 9.9029\n", + "Epoch [0/5], Step [2230/3236], Loss: 2.3499, Perplexity: 10.4848\n", + "Epoch [0/5], Step [2240/3236], Loss: 2.2595, Perplexity: 9.5779\n", + "Epoch [0/5], Step [2250/3236], Loss: 2.3918, Perplexity: 10.9336\n", + "Epoch [0/5], Step [2260/3236], Loss: 2.3086, Perplexity: 10.0602\n", + "Epoch [0/5], Step [2270/3236], Loss: 2.2147, Perplexity: 9.1584\n", + "Epoch [0/5], Step [2280/3236], Loss: 2.2300, Perplexity: 9.2998\n", + "Epoch [0/5], Step [2290/3236], Loss: 2.3215, Perplexity: 10.1907\n", + "Epoch [0/5], Step [2300/3236], Loss: 2.3795, Perplexity: 10.7994\n", + "Epoch [0/5], Step [2310/3236], Loss: 2.2658, Perplexity: 9.6391\n", + "Epoch [0/5], Step [2320/3236], Loss: 2.3103, Perplexity: 10.0777\n", + "Epoch [0/5], Step [2330/3236], Loss: 2.3879, Perplexity: 10.8908\n", + "Epoch [0/5], Step [2340/3236], Loss: 2.3182, Perplexity: 10.1573\n", + "Epoch [0/5], Step [2350/3236], Loss: 2.2556, Perplexity: 9.5408\n", + "Epoch [0/5], Step [2360/3236], Loss: 2.3467, Perplexity: 10.4510\n", + "Epoch [0/5], Step [2370/3236], Loss: 2.2718, Perplexity: 9.6967\n", + "Epoch [0/5], Step [2380/3236], Loss: 2.3013, Perplexity: 9.9874\n", + "Epoch [0/5], Step [2390/3236], Loss: 2.5259, Perplexity: 12.5022\n", + "Epoch [0/5], Step [2400/3236], Loss: 2.3574, Perplexity: 10.5630\n", + "Epoch [0/5], Step [2410/3236], Loss: 2.3244, Perplexity: 10.2208\n", + "Epoch [0/5], Step [2420/3236], Loss: 2.3993, Perplexity: 11.0149\n", + "Epoch [0/5], Step [2430/3236], Loss: 2.1952, Perplexity: 8.9819\n", + "Epoch [0/5], Step [2440/3236], Loss: 2.2582, Perplexity: 9.5658\n", + "Epoch [0/5], Step [2450/3236], Loss: 2.2105, Perplexity: 9.1205\n", + "Epoch [0/5], Step [2460/3236], Loss: 2.3322, Perplexity: 10.3006\n", + "Epoch [0/5], Step [2470/3236], Loss: 2.3308, Perplexity: 10.2858\n", + "Epoch [0/5], Step [2480/3236], Loss: 2.1464, Perplexity: 8.5542\n", + "Epoch [0/5], Step [2490/3236], Loss: 2.3864, Perplexity: 10.8742\n", + "Epoch [0/5], Step [2500/3236], Loss: 2.3423, Perplexity: 10.4054\n", + "Epoch [0/5], Step [2510/3236], Loss: 2.3240, Perplexity: 10.2166\n", + "Epoch [0/5], Step [2520/3236], Loss: 2.4169, Perplexity: 11.2110\n", + "Epoch [0/5], Step [2530/3236], Loss: 2.3135, Perplexity: 10.1101\n", + "Epoch [0/5], Step [2540/3236], Loss: 2.3887, Perplexity: 10.8991\n", + "Epoch [0/5], Step [2550/3236], Loss: 2.2801, Perplexity: 9.7778\n", + "Epoch [0/5], Step [2560/3236], Loss: 2.3809, Perplexity: 10.8149\n", + "Epoch [0/5], Step [2570/3236], Loss: 2.2731, Perplexity: 9.7095\n", + "Epoch [0/5], Step [2580/3236], Loss: 2.2746, Perplexity: 9.7245\n", + "Epoch [0/5], Step [2590/3236], Loss: 2.2918, Perplexity: 9.8923\n", + "Epoch [0/5], Step [2600/3236], Loss: 2.2165, Perplexity: 9.1753\n", + "Epoch [0/5], Step [2610/3236], Loss: 2.3705, Perplexity: 10.7030\n", + "Epoch [0/5], Step [2620/3236], Loss: 2.3183, Perplexity: 10.1581\n", + "Epoch [0/5], Step [2630/3236], Loss: 2.1909, Perplexity: 8.9436\n", + "Epoch [0/5], Step [2640/3236], Loss: 2.2608, Perplexity: 9.5909\n", + "Epoch [0/5], Step [2650/3236], Loss: 2.3271, Perplexity: 10.2479\n", + "Epoch [0/5], Step [2660/3236], Loss: 2.3085, Perplexity: 10.0590\n", + "Epoch [0/5], Step [2670/3236], Loss: 2.3196, Perplexity: 10.1715\n", + "Epoch [0/5], Step [2680/3236], Loss: 2.2859, Perplexity: 9.8349\n", + "Epoch [0/5], Step [2690/3236], Loss: 2.3123, Perplexity: 10.0974\n", + "Epoch [0/5], Step [2700/3236], Loss: 2.2098, Perplexity: 9.1137\n", + "Epoch [0/5], Step [2710/3236], Loss: 2.2968, Perplexity: 9.9423\n", + "Epoch [0/5], Step [2720/3236], Loss: 2.2909, Perplexity: 9.8843\n", + "Epoch [0/5], Step [2730/3236], Loss: 2.2632, Perplexity: 9.6138\n", + "Epoch [0/5], Step [2740/3236], Loss: 2.3533, Perplexity: 10.5201\n", + "Epoch [0/5], Step [2750/3236], Loss: 2.3522, Perplexity: 10.5082\n", + "Epoch [0/5], Step [2760/3236], Loss: 2.3143, Perplexity: 10.1174\n", + "Epoch [0/5], Step [2770/3236], Loss: 2.3499, Perplexity: 10.4847\n", + "Epoch [0/5], Step [2780/3236], Loss: 2.1930, Perplexity: 8.9625\n", + "Epoch [0/5], Step [2790/3236], Loss: 2.2048, Perplexity: 9.0680\n", + "Epoch [0/5], Step [2800/3236], Loss: 2.3460, Perplexity: 10.4436\n", + "Epoch [0/5], Step [2810/3236], Loss: 2.3536, Perplexity: 10.5235\n", + "Epoch [0/5], Step [2820/3236], Loss: 2.1667, Perplexity: 8.7295\n", + "Epoch [0/5], Step [2830/3236], Loss: 2.2530, Perplexity: 9.5164\n", + "Epoch [0/5], Step [2840/3236], Loss: 2.2751, Perplexity: 9.7289\n", + "Epoch [0/5], Step [2850/3236], Loss: 2.1276, Perplexity: 8.3947\n", + "Epoch [0/5], Step [2860/3236], Loss: 2.3206, Perplexity: 10.1817\n", + "Epoch [0/5], Step [2870/3236], Loss: 2.4229, Perplexity: 11.2789\n", + "Epoch [0/5], Step [2880/3236], Loss: 2.2418, Perplexity: 9.4106\n", + "Epoch [0/5], Step [2890/3236], Loss: 2.2928, Perplexity: 9.9031\n", + "Epoch [0/5], Step [2900/3236], Loss: 2.3776, Perplexity: 10.7785\n", + "Epoch [0/5], Step [2910/3236], Loss: 2.3575, Perplexity: 10.5642\n", + "Epoch [0/5], Step [2920/3236], Loss: 2.2398, Perplexity: 9.3910\n", + "Epoch [0/5], Step [2930/3236], Loss: 2.4790, Perplexity: 11.9291\n", + "Epoch [0/5], Step [2940/3236], Loss: 2.2760, Perplexity: 9.7380\n", + "Epoch [0/5], Step [2950/3236], Loss: 2.1987, Perplexity: 9.0130\n", + "Epoch [0/5], Step [2960/3236], Loss: 2.2570, Perplexity: 9.5541\n", + "Epoch [0/5], Step [2970/3236], Loss: 2.2490, Perplexity: 9.4786\n", + "Epoch [0/5], Step [2980/3236], Loss: 2.2773, Perplexity: 9.7505\n", + "Epoch [0/5], Step [2990/3236], Loss: 2.3378, Perplexity: 10.3586\n", + "Epoch [0/5], Step [3000/3236], Loss: 2.2702, Perplexity: 9.6809\n", + "Epoch [0/5], Step [3010/3236], Loss: 2.3042, Perplexity: 10.0157\n", + "Epoch [0/5], Step [3020/3236], Loss: 2.2224, Perplexity: 9.2292\n", + "Epoch [0/5], Step [3030/3236], Loss: 2.3574, Perplexity: 10.5639\n", + "Epoch [0/5], Step [3040/3236], Loss: 2.3571, Perplexity: 10.5600\n", + "Epoch [0/5], Step [3050/3236], Loss: 2.3909, Perplexity: 10.9236\n", + "Epoch [0/5], Step [3060/3236], Loss: 2.1126, Perplexity: 8.2698\n", + "Epoch [0/5], Step [3070/3236], Loss: 2.2363, Perplexity: 9.3589\n", + "Epoch [0/5], Step [3080/3236], Loss: 2.3238, Perplexity: 10.2148\n", + "Epoch [0/5], Step [3090/3236], Loss: 2.2653, Perplexity: 9.6341\n", + "Epoch [0/5], Step [3100/3236], Loss: 2.2202, Perplexity: 9.2094\n", + "Epoch [0/5], Step [3110/3236], Loss: 2.2851, Perplexity: 9.8270\n", + "Epoch [0/5], Step [3120/3236], Loss: 2.3019, Perplexity: 9.9934\n", + "Epoch [0/5], Step [3130/3236], Loss: 2.3538, Perplexity: 10.5256\n", + "Epoch [0/5], Step [3140/3236], Loss: 2.1188, Perplexity: 8.3212\n", + "Epoch [0/5], Step [3150/3236], Loss: 2.3904, Perplexity: 10.9181\n", + "Epoch [0/5], Step [3160/3236], Loss: 2.2438, Perplexity: 9.4293\n", + "Epoch [0/5], Step [3170/3236], Loss: 2.0163, Perplexity: 7.5106\n", + "Epoch [0/5], Step [3180/3236], Loss: 2.2053, Perplexity: 9.0732\n", + "Epoch [0/5], Step [3190/3236], Loss: 2.2236, Perplexity: 9.2405\n", + "Epoch [0/5], Step [3200/3236], Loss: 2.2156, Perplexity: 9.1668\n", + "Epoch [0/5], Step [3210/3236], Loss: 2.2621, Perplexity: 9.6028\n", + "Epoch [0/5], Step [3220/3236], Loss: 2.2118, Perplexity: 9.1317\n", + "Epoch [0/5], Step [3230/3236], Loss: 2.3564, Perplexity: 10.5524\n", + "Epoch [1/5], Step [0/3236], Loss: 2.1661, Perplexity: 8.7240\n", + "Epoch [1/5], Step [10/3236], Loss: 2.2167, Perplexity: 9.1772\n", + "Epoch [1/5], Step [20/3236], Loss: 2.2770, Perplexity: 9.7476\n", + "Epoch [1/5], Step [30/3236], Loss: 2.0312, Perplexity: 7.6232\n", + "Epoch [1/5], Step [40/3236], Loss: 2.1824, Perplexity: 8.8679\n", + "Epoch [1/5], Step [50/3236], Loss: 2.1411, Perplexity: 8.5092\n", + "Epoch [1/5], Step [60/3236], Loss: 2.0955, Perplexity: 8.1298\n", + "Epoch [1/5], Step [70/3236], Loss: 2.1952, Perplexity: 8.9820\n", + "Epoch [1/5], Step [80/3236], Loss: 2.2194, Perplexity: 9.2020\n", + "Epoch [1/5], Step [90/3236], Loss: 2.2836, Perplexity: 9.8120\n", + "Epoch [1/5], Step [100/3236], Loss: 2.0082, Perplexity: 7.4501\n", + "Epoch [1/5], Step [110/3236], Loss: 2.1482, Perplexity: 8.5694\n", + "Epoch [1/5], Step [120/3236], Loss: 2.2526, Perplexity: 9.5128\n", + "Epoch [1/5], Step [130/3236], Loss: 2.0986, Perplexity: 8.1546\n", + "Epoch [1/5], Step [140/3236], Loss: 2.2390, Perplexity: 9.3837\n", + "Epoch [1/5], Step [150/3236], Loss: 2.1121, Perplexity: 8.2655\n", + "Epoch [1/5], Step [160/3236], Loss: 2.1482, Perplexity: 8.5693\n", + "Epoch [1/5], Step [170/3236], Loss: 2.2674, Perplexity: 9.6546\n", + "Epoch [1/5], Step [180/3236], Loss: 2.2455, Perplexity: 9.4456\n", + "Epoch [1/5], Step [190/3236], Loss: 2.0296, Perplexity: 7.6112\n", + "Epoch [1/5], Step [200/3236], Loss: 2.1328, Perplexity: 8.4389\n", + "Epoch [1/5], Step [210/3236], Loss: 2.2021, Perplexity: 9.0439\n", + "Epoch [1/5], Step [220/3236], Loss: 2.1378, Perplexity: 8.4808\n", + "Epoch [1/5], Step [230/3236], Loss: 2.0795, Perplexity: 8.0006\n", + "Epoch [1/5], Step [240/3236], Loss: 2.1446, Perplexity: 8.5385\n", + "Epoch [1/5], Step [250/3236], Loss: 2.1296, Perplexity: 8.4112\n", + "Epoch [1/5], Step [260/3236], Loss: 2.1319, Perplexity: 8.4306\n", + "Epoch [1/5], Step [270/3236], Loss: 2.1393, Perplexity: 8.4937\n", + "Epoch [1/5], Step [280/3236], Loss: 2.2086, Perplexity: 9.1026\n", + "Epoch [1/5], Step [290/3236], Loss: 2.1595, Perplexity: 8.6668\n", + "Epoch [1/5], Step [300/3236], Loss: 2.1703, Perplexity: 8.7612\n", + "Epoch [1/5], Step [310/3236], Loss: 2.0804, Perplexity: 8.0080\n", + "Epoch [1/5], Step [320/3236], Loss: 2.1702, Perplexity: 8.7601\n", + "Epoch [1/5], Step [330/3236], Loss: 2.2996, Perplexity: 9.9700\n", + "Epoch [1/5], Step [340/3236], Loss: 2.2394, Perplexity: 9.3876\n", + "Epoch [1/5], Step [350/3236], Loss: 2.1975, Perplexity: 9.0028\n", + "Epoch [1/5], Step [360/3236], Loss: 2.2014, Perplexity: 9.0373\n", + "Epoch [1/5], Step [370/3236], Loss: 2.2610, Perplexity: 9.5923\n", + "Epoch [1/5], Step [380/3236], Loss: 2.2179, Perplexity: 9.1876\n", + "Epoch [1/5], Step [390/3236], Loss: 2.1288, Perplexity: 8.4047\n", + "Epoch [1/5], Step [400/3236], Loss: 2.0621, Perplexity: 7.8624\n", + "Epoch [1/5], Step [410/3236], Loss: 2.2385, Perplexity: 9.3788\n", + "Epoch [1/5], Step [420/3236], Loss: 2.1294, Perplexity: 8.4099\n", + "Epoch [1/5], Step [430/3236], Loss: 2.0788, Perplexity: 7.9948\n", + "Epoch [1/5], Step [440/3236], Loss: 2.1685, Perplexity: 8.7448\n", + "Epoch [1/5], Step [450/3236], Loss: 2.2113, Perplexity: 9.1278\n", + "Epoch [1/5], Step [460/3236], Loss: 2.2743, Perplexity: 9.7213\n", + "Epoch [1/5], Step [470/3236], Loss: 2.3362, Perplexity: 10.3418\n", + "Epoch [1/5], Step [480/3236], Loss: 2.0722, Perplexity: 7.9420\n", + "Epoch [1/5], Step [490/3236], Loss: 2.1740, Perplexity: 8.7937\n", + "Epoch [1/5], Step [500/3236], Loss: 2.2654, Perplexity: 9.6354\n", + "Epoch [1/5], Step [510/3236], Loss: 2.2004, Perplexity: 9.0289\n", + "Epoch [1/5], Step [520/3236], Loss: 2.1077, Perplexity: 8.2290\n", + "Epoch [1/5], Step [530/3236], Loss: 2.2808, Perplexity: 9.7849\n", + "Epoch [1/5], Step [540/3236], Loss: 2.2699, Perplexity: 9.6780\n", + "Epoch [1/5], Step [550/3236], Loss: 2.0601, Perplexity: 7.8469\n", + "Epoch [1/5], Step [560/3236], Loss: 2.1486, Perplexity: 8.5732\n", + "Epoch [1/5], Step [570/3236], Loss: 2.0757, Perplexity: 7.9700\n", + "Epoch [1/5], Step [580/3236], Loss: 2.0300, Perplexity: 7.6143\n", + "Epoch [1/5], Step [590/3236], Loss: 2.2247, Perplexity: 9.2511\n", + "Epoch [1/5], Step [600/3236], Loss: 2.0985, Perplexity: 8.1540\n", + "Epoch [1/5], Step [610/3236], Loss: 2.2114, Perplexity: 9.1283\n", + "Epoch [1/5], Step [620/3236], Loss: 2.1668, Perplexity: 8.7302\n", + "Epoch [1/5], Step [630/3236], Loss: 2.2700, Perplexity: 9.6794\n", + "Epoch [1/5], Step [640/3236], Loss: 2.1707, Perplexity: 8.7643\n", + "Epoch [1/5], Step [650/3236], Loss: 2.1875, Perplexity: 8.9125\n", + "Epoch [1/5], Step [660/3236], Loss: 2.2282, Perplexity: 9.2828\n", + "Epoch [1/5], Step [670/3236], Loss: 2.3062, Perplexity: 10.0364\n", + "Epoch [1/5], Step [680/3236], Loss: 2.0855, Perplexity: 8.0489\n", + "Epoch [1/5], Step [690/3236], Loss: 2.0744, Perplexity: 7.9601\n", + "Epoch [1/5], Step [700/3236], Loss: 2.0940, Perplexity: 8.1175\n", + "Epoch [1/5], Step [710/3236], Loss: 2.1360, Perplexity: 8.4654\n", + "Epoch [1/5], Step [720/3236], Loss: 2.0755, Perplexity: 7.9685\n", + "Epoch [1/5], Step [730/3236], Loss: 2.1664, Perplexity: 8.7268\n", + "Epoch [1/5], Step [740/3236], Loss: 2.1250, Perplexity: 8.3729\n", + "Epoch [1/5], Step [750/3236], Loss: 2.2117, Perplexity: 9.1316\n", + "Epoch [1/5], Step [760/3236], Loss: 2.1581, Perplexity: 8.6543\n", + "Epoch [1/5], Step [770/3236], Loss: 2.2487, Perplexity: 9.4757\n", + "Epoch [1/5], Step [780/3236], Loss: 2.0692, Perplexity: 7.9182\n", + "Epoch [1/5], Step [790/3236], Loss: 2.1080, Perplexity: 8.2317\n", + "Epoch [1/5], Step [800/3236], Loss: 2.0459, Perplexity: 7.7358\n", + "Epoch [1/5], Step [810/3236], Loss: 2.1997, Perplexity: 9.0224\n", + "Epoch [1/5], Step [820/3236], Loss: 2.2437, Perplexity: 9.4285\n", + "Epoch [1/5], Step [830/3236], Loss: 1.9916, Perplexity: 7.3275\n", + "Epoch [1/5], Step [840/3236], Loss: 2.1669, Perplexity: 8.7308\n", + "Epoch [1/5], Step [850/3236], Loss: 2.2694, Perplexity: 9.6738\n", + "Epoch [1/5], Step [860/3236], Loss: 2.0784, Perplexity: 7.9918\n", + "Epoch [1/5], Step [870/3236], Loss: 2.1490, Perplexity: 8.5763\n", + "Epoch [1/5], Step [880/3236], Loss: 2.0243, Perplexity: 7.5709\n", + "Epoch [1/5], Step [890/3236], Loss: 2.2495, Perplexity: 9.4829\n", + "Epoch [1/5], Step [900/3236], Loss: 2.0508, Perplexity: 7.7738\n", + "Epoch [1/5], Step [910/3236], Loss: 2.2089, Perplexity: 9.1054\n", + "Epoch [1/5], Step [920/3236], Loss: 2.2125, Perplexity: 9.1389\n", + "Epoch [1/5], Step [930/3236], Loss: 2.0442, Perplexity: 7.7227\n", + "Epoch [1/5], Step [940/3236], Loss: 2.2014, Perplexity: 9.0373\n", + "Epoch [1/5], Step [950/3236], Loss: 2.0406, Perplexity: 7.6950\n", + "Epoch [1/5], Step [960/3236], Loss: 2.2610, Perplexity: 9.5923\n", + "Epoch [1/5], Step [970/3236], Loss: 2.0857, Perplexity: 8.0501\n", + "Epoch [1/5], Step [980/3236], Loss: 2.1048, Perplexity: 8.2055\n", + "Epoch [1/5], Step [990/3236], Loss: 2.1278, Perplexity: 8.3965\n", + "Epoch [1/5], Step [1000/3236], Loss: 2.1066, Perplexity: 8.2201\n", + "Epoch [1/5], Step [1010/3236], Loss: 2.1312, Perplexity: 8.4253\n", + "Epoch [1/5], Step [1020/3236], Loss: 2.1497, Perplexity: 8.5821\n", + "Epoch [1/5], Step [1030/3236], Loss: 2.1532, Perplexity: 8.6121\n", + "Epoch [1/5], Step [1040/3236], Loss: 2.1568, Perplexity: 8.6437\n", + "Epoch [1/5], Step [1050/3236], Loss: 2.1466, Perplexity: 8.5559\n", + "Epoch [1/5], Step [1060/3236], Loss: 2.1073, Perplexity: 8.2261\n", + "Epoch [1/5], Step [1070/3236], Loss: 2.1831, Perplexity: 8.8736\n", + "Epoch [1/5], Step [1080/3236], Loss: 2.1098, Perplexity: 8.2464\n", + "Epoch [1/5], Step [1090/3236], Loss: 2.1823, Perplexity: 8.8664\n", + "Epoch [1/5], Step [1100/3236], Loss: 2.0886, Perplexity: 8.0736\n", + "Epoch [1/5], Step [1110/3236], Loss: 2.2400, Perplexity: 9.3930\n", + "Epoch [1/5], Step [1120/3236], Loss: 2.1653, Perplexity: 8.7169\n", + "Epoch [1/5], Step [1130/3236], Loss: 2.1351, Perplexity: 8.4583\n", + "Epoch [1/5], Step [1140/3236], Loss: 2.2222, Perplexity: 9.2275\n", + "Epoch [1/5], Step [1150/3236], Loss: 2.0639, Perplexity: 7.8763\n", + "Epoch [1/5], Step [1160/3236], Loss: 2.1309, Perplexity: 8.4222\n", + "Epoch [1/5], Step [1170/3236], Loss: 2.1347, Perplexity: 8.4549\n", + "Epoch [1/5], Step [1180/3236], Loss: 2.0654, Perplexity: 7.8886\n", + "Epoch [1/5], Step [1190/3236], Loss: 2.1468, Perplexity: 8.5576\n", + "Epoch [1/5], Step [1200/3236], Loss: 2.1095, Perplexity: 8.2438\n", + "Epoch [1/5], Step [1210/3236], Loss: 2.0580, Perplexity: 7.8306\n", + "Epoch [1/5], Step [1220/3236], Loss: 2.1912, Perplexity: 8.9459\n", + "Epoch [1/5], Step [1230/3236], Loss: 2.2108, Perplexity: 9.1231\n", + "Epoch [1/5], Step [1240/3236], Loss: 2.0727, Perplexity: 7.9465\n", + "Epoch [1/5], Step [1250/3236], Loss: 2.2014, Perplexity: 9.0376\n", + "Epoch [1/5], Step [1260/3236], Loss: 2.1945, Perplexity: 8.9752\n", + "Epoch [1/5], Step [1270/3236], Loss: 2.2131, Perplexity: 9.1445\n", + "Epoch [1/5], Step [1280/3236], Loss: 2.2735, Perplexity: 9.7130\n", + "Epoch [1/5], Step [1290/3236], Loss: 2.2104, Perplexity: 9.1192\n", + "Epoch [1/5], Step [1300/3236], Loss: 2.2147, Perplexity: 9.1589\n", + "Epoch [1/5], Step [1310/3236], Loss: 2.3229, Perplexity: 10.2055\n", + "Epoch [1/5], Step [1320/3236], Loss: 2.1286, Perplexity: 8.4028\n", + "Epoch [1/5], Step [1330/3236], Loss: 2.1283, Perplexity: 8.4008\n", + "Epoch [1/5], Step [1340/3236], Loss: 2.2131, Perplexity: 9.1439\n", + "Epoch [1/5], Step [1350/3236], Loss: 2.0317, Perplexity: 7.6273\n", + "Epoch [1/5], Step [1360/3236], Loss: 2.0893, Perplexity: 8.0793\n", + "Epoch [1/5], Step [1370/3236], Loss: 2.0122, Perplexity: 7.4797\n", + "Epoch [1/5], Step [1380/3236], Loss: 2.1498, Perplexity: 8.5831\n", + "Epoch [1/5], Step [1390/3236], Loss: 2.0877, Perplexity: 8.0660\n", + "Epoch [1/5], Step [1400/3236], Loss: 2.0344, Perplexity: 7.6480\n", + "Epoch [1/5], Step [1410/3236], Loss: 2.1980, Perplexity: 9.0067\n", + "Epoch [1/5], Step [1420/3236], Loss: 2.1314, Perplexity: 8.4263\n", + "Epoch [1/5], Step [1430/3236], Loss: 2.2037, Perplexity: 9.0589\n", + "Epoch [1/5], Step [1440/3236], Loss: 2.1715, Perplexity: 8.7718\n", + "Epoch [1/5], Step [1450/3236], Loss: 2.1974, Perplexity: 9.0017\n", + "Epoch [1/5], Step [1460/3236], Loss: 2.2113, Perplexity: 9.1277\n", + "Epoch [1/5], Step [1470/3236], Loss: 2.1466, Perplexity: 8.5553\n", + "Epoch [1/5], Step [1480/3236], Loss: 2.2222, Perplexity: 9.2273\n", + "Epoch [1/5], Step [1490/3236], Loss: 2.1541, Perplexity: 8.6198\n", + "Epoch [1/5], Step [1500/3236], Loss: 2.0504, Perplexity: 7.7707\n", + "Epoch [1/5], Step [1510/3236], Loss: 2.3400, Perplexity: 10.3817\n", + "Epoch [1/5], Step [1520/3236], Loss: 2.1809, Perplexity: 8.8538\n", + "Epoch [1/5], Step [1530/3236], Loss: 2.2431, Perplexity: 9.4224\n", + "Epoch [1/5], Step [1540/3236], Loss: 2.0776, Perplexity: 7.9849\n", + "Epoch [1/5], Step [1550/3236], Loss: 2.1659, Perplexity: 8.7223\n", + "Epoch [1/5], Step [1560/3236], Loss: 2.0715, Perplexity: 7.9370\n", + "Epoch [1/5], Step [1570/3236], Loss: 2.1255, Perplexity: 8.3768\n", + "Epoch [1/5], Step [1580/3236], Loss: 2.1467, Perplexity: 8.5566\n", + "Epoch [1/5], Step [1590/3236], Loss: 2.2010, Perplexity: 9.0336\n", + "Epoch [1/5], Step [1600/3236], Loss: 2.0957, Perplexity: 8.1313\n", + "Epoch [1/5], Step [1610/3236], Loss: 2.1689, Perplexity: 8.7483\n", + "Epoch [1/5], Step [1620/3236], Loss: 2.2419, Perplexity: 9.4114\n", + "Epoch [1/5], Step [1630/3236], Loss: 2.1582, Perplexity: 8.6552\n", + "Epoch [1/5], Step [1640/3236], Loss: 2.1265, Perplexity: 8.3852\n", + "Epoch [1/5], Step [1650/3236], Loss: 2.1098, Perplexity: 8.2468\n", + "Epoch [1/5], Step [1660/3236], Loss: 2.1044, Perplexity: 8.2018\n", + "Epoch [1/5], Step [1670/3236], Loss: 2.1144, Perplexity: 8.2843\n", + "Epoch [1/5], Step [1680/3236], Loss: 2.1568, Perplexity: 8.6430\n", + "Epoch [1/5], Step [1690/3236], Loss: 2.0648, Perplexity: 7.8839\n", + "Epoch [1/5], Step [1700/3236], Loss: 2.1004, Perplexity: 8.1698\n", + "Epoch [1/5], Step [1710/3236], Loss: 2.1558, Perplexity: 8.6345\n", + "Epoch [1/5], Step [1720/3236], Loss: 2.1873, Perplexity: 8.9113\n", + "Epoch [1/5], Step [1730/3236], Loss: 2.0247, Perplexity: 7.5740\n", + "Epoch [1/5], Step [1740/3236], Loss: 2.1185, Perplexity: 8.3184\n", + "Epoch [1/5], Step [1750/3236], Loss: 2.1462, Perplexity: 8.5524\n", + "Epoch [1/5], Step [1760/3236], Loss: 2.0609, Perplexity: 7.8527\n", + "Epoch [1/5], Step [1770/3236], Loss: 2.1145, Perplexity: 8.2858\n", + "Epoch [1/5], Step [1780/3236], Loss: 2.1799, Perplexity: 8.8451\n", + "Epoch [1/5], Step [1790/3236], Loss: 2.0659, Perplexity: 7.8922\n", + "Epoch [1/5], Step [1800/3236], Loss: 2.1487, Perplexity: 8.5738\n", + "Epoch [1/5], Step [1810/3236], Loss: 2.0952, Perplexity: 8.1269\n", + "Epoch [1/5], Step [1820/3236], Loss: 2.0717, Perplexity: 7.9386\n", + "Epoch [1/5], Step [1830/3236], Loss: 2.0795, Perplexity: 8.0004\n", + "Epoch [1/5], Step [1840/3236], Loss: 2.1209, Perplexity: 8.3385\n", + "Epoch [1/5], Step [1850/3236], Loss: 2.1053, Perplexity: 8.2097\n", + "Epoch [1/5], Step [1860/3236], Loss: 2.1930, Perplexity: 8.9624\n", + "Epoch [1/5], Step [1870/3236], Loss: 2.0109, Perplexity: 7.4703\n", + "Epoch [1/5], Step [1880/3236], Loss: 2.0492, Perplexity: 7.7616\n", + "Epoch [1/5], Step [1890/3236], Loss: 2.1537, Perplexity: 8.6170\n", + "Epoch [1/5], Step [1900/3236], Loss: 2.1255, Perplexity: 8.3771\n", + "Epoch [1/5], Step [1910/3236], Loss: 1.9706, Perplexity: 7.1747\n", + "Epoch [1/5], Step [1920/3236], Loss: 2.1686, Perplexity: 8.7457\n", + "Epoch [1/5], Step [1930/3236], Loss: 1.9701, Perplexity: 7.1712\n", + "Epoch [1/5], Step [1940/3236], Loss: 2.1381, Perplexity: 8.4831\n", + "Epoch [1/5], Step [1950/3236], Loss: 2.1912, Perplexity: 8.9459\n", + "Epoch [1/5], Step [1960/3236], Loss: 2.1934, Perplexity: 8.9655\n", + "Epoch [1/5], Step [1970/3236], Loss: 2.1161, Perplexity: 8.2990\n", + "Epoch [1/5], Step [1980/3236], Loss: 2.1629, Perplexity: 8.6964\n", + "Epoch [1/5], Step [1990/3236], Loss: 2.1705, Perplexity: 8.7624\n", + "Epoch [1/5], Step [2000/3236], Loss: 2.1794, Perplexity: 8.8408\n", + "Epoch [1/5], Step [2010/3236], Loss: 2.0900, Perplexity: 8.0847\n", + "Epoch [1/5], Step [2020/3236], Loss: 2.1108, Perplexity: 8.2547\n", + "Epoch [1/5], Step [2030/3236], Loss: 2.1261, Perplexity: 8.3821\n", + "Epoch [1/5], Step [2040/3236], Loss: 2.1418, Perplexity: 8.5148\n", + "Epoch [1/5], Step [2050/3236], Loss: 2.1146, Perplexity: 8.2859\n", + "Epoch [1/5], Step [2060/3236], Loss: 2.2049, Perplexity: 9.0696\n", + "Epoch [1/5], Step [2070/3236], Loss: 2.1069, Perplexity: 8.2227\n", + "Epoch [1/5], Step [2080/3236], Loss: 2.1705, Perplexity: 8.7628\n", + "Epoch [1/5], Step [2090/3236], Loss: 2.0841, Perplexity: 8.0373\n", + "Epoch [1/5], Step [2100/3236], Loss: 2.1694, Perplexity: 8.7532\n", + "Epoch [1/5], Step [2110/3236], Loss: 2.2086, Perplexity: 9.1025\n", + "Epoch [1/5], Step [2120/3236], Loss: 1.9998, Perplexity: 7.3877\n", + "Epoch [1/5], Step [2130/3236], Loss: 2.0610, Perplexity: 7.8541\n", + "Epoch [1/5], Step [2140/3236], Loss: 2.1288, Perplexity: 8.4045\n", + "Epoch [1/5], Step [2150/3236], Loss: 2.2013, Perplexity: 9.0364\n", + "Epoch [1/5], Step [2160/3236], Loss: 2.0530, Perplexity: 7.7916\n", + "Epoch [1/5], Step [2170/3236], Loss: 2.0750, Perplexity: 7.9649\n", + "Epoch [1/5], Step [2180/3236], Loss: 2.1647, Perplexity: 8.7116\n", + "Epoch [1/5], Step [2190/3236], Loss: 2.1000, Perplexity: 8.1660\n", + "Epoch [1/5], Step [2200/3236], Loss: 2.1774, Perplexity: 8.8233\n", + "Epoch [1/5], Step [2210/3236], Loss: 2.1408, Perplexity: 8.5063\n", + "Epoch [1/5], Step [2220/3236], Loss: 2.1194, Perplexity: 8.3261\n", + "Epoch [1/5], Step [2230/3236], Loss: 2.1998, Perplexity: 9.0235\n", + "Epoch [1/5], Step [2240/3236], Loss: 2.1120, Perplexity: 8.2648\n", + "Epoch [1/5], Step [2250/3236], Loss: 2.1329, Perplexity: 8.4391\n", + "Epoch [1/5], Step [2260/3236], Loss: 2.0532, Perplexity: 7.7930\n", + "Epoch [1/5], Step [2270/3236], Loss: 2.2570, Perplexity: 9.5542\n", + "Epoch [1/5], Step [2280/3236], Loss: 2.0752, Perplexity: 7.9658\n", + "Epoch [1/5], Step [2290/3236], Loss: 2.0569, Perplexity: 7.8220\n", + "Epoch [1/5], Step [2300/3236], Loss: 2.0888, Perplexity: 8.0754\n", + "Epoch [1/5], Step [2310/3236], Loss: 2.1064, Perplexity: 8.2184\n", + "Epoch [1/5], Step [2320/3236], Loss: 2.1080, Perplexity: 8.2317\n", + "Epoch [1/5], Step [2330/3236], Loss: 2.0720, Perplexity: 7.9411\n", + "Epoch [1/5], Step [2340/3236], Loss: 2.0443, Perplexity: 7.7240\n", + "Epoch [1/5], Step [2350/3236], Loss: 2.0716, Perplexity: 7.9372\n", + "Epoch [1/5], Step [2360/3236], Loss: 2.1055, Perplexity: 8.2108\n", + "Epoch [1/5], Step [2370/3236], Loss: 2.1477, Perplexity: 8.5650\n", + "Epoch [1/5], Step [2380/3236], Loss: 2.1937, Perplexity: 8.9682\n", + "Epoch [1/5], Step [2390/3236], Loss: 2.1118, Perplexity: 8.2630\n", + "Epoch [1/5], Step [2400/3236], Loss: 2.0389, Perplexity: 7.6824\n", + "Epoch [1/5], Step [2410/3236], Loss: 2.0722, Perplexity: 7.9426\n", + "Epoch [1/5], Step [2420/3236], Loss: 2.1308, Perplexity: 8.4214\n", + "Epoch [1/5], Step [2430/3236], Loss: 2.1998, Perplexity: 9.0230\n", + "Epoch [1/5], Step [2440/3236], Loss: 2.0426, Perplexity: 7.7107\n", + "Epoch [1/5], Step [2450/3236], Loss: 2.3056, Perplexity: 10.0304\n", + "Epoch [1/5], Step [2460/3236], Loss: 2.2123, Perplexity: 9.1363\n", + "Epoch [1/5], Step [2470/3236], Loss: 2.0623, Perplexity: 7.8642\n", + "Epoch [1/5], Step [2480/3236], Loss: 2.1051, Perplexity: 8.2077\n", + "Epoch [1/5], Step [2490/3236], Loss: 2.1034, Perplexity: 8.1938\n", + "Epoch [1/5], Step [2500/3236], Loss: 2.1867, Perplexity: 8.9058\n", + "Epoch [1/5], Step [2510/3236], Loss: 2.1252, Perplexity: 8.3749\n", + "Epoch [1/5], Step [2520/3236], Loss: 2.1518, Perplexity: 8.6004\n", + "Epoch [1/5], Step [2530/3236], Loss: 2.1942, Perplexity: 8.9731\n", + "Epoch [1/5], Step [2540/3236], Loss: 1.9934, Perplexity: 7.3407\n", + "Epoch [1/5], Step [2550/3236], Loss: 2.0749, Perplexity: 7.9634\n", + "Epoch [1/5], Step [2560/3236], Loss: 2.0112, Perplexity: 7.4722\n", + "Epoch [1/5], Step [2570/3236], Loss: 2.0201, Perplexity: 7.5388\n", + "Epoch [1/5], Step [2580/3236], Loss: 2.0798, Perplexity: 8.0029\n", + "Epoch [1/5], Step [2590/3236], Loss: 2.1243, Perplexity: 8.3668\n", + "Epoch [1/5], Step [2600/3236], Loss: 2.2176, Perplexity: 9.1857\n", + "Epoch [1/5], Step [2610/3236], Loss: 2.2185, Perplexity: 9.1938\n", + "Epoch [1/5], Step [2620/3236], Loss: 2.0091, Perplexity: 7.4569\n", + "Epoch [1/5], Step [2630/3236], Loss: 2.1555, Perplexity: 8.6326\n", + "Epoch [1/5], Step [2640/3236], Loss: 2.1658, Perplexity: 8.7213\n", + "Epoch [1/5], Step [2650/3236], Loss: 2.1033, Perplexity: 8.1932\n", + "Epoch [1/5], Step [2660/3236], Loss: 2.0366, Perplexity: 7.6644\n", + "Epoch [1/5], Step [2670/3236], Loss: 2.1393, Perplexity: 8.4933\n", + "Epoch [1/5], Step [2680/3236], Loss: 2.1709, Perplexity: 8.7665\n", + "Epoch [1/5], Step [2690/3236], Loss: 2.0566, Perplexity: 7.8196\n", + "Epoch [1/5], Step [2700/3236], Loss: 2.1361, Perplexity: 8.4660\n", + "Epoch [1/5], Step [2710/3236], Loss: 2.2045, Perplexity: 9.0656\n", + "Epoch [1/5], Step [2720/3236], Loss: 2.0241, Perplexity: 7.5691\n", + "Epoch [1/5], Step [2730/3236], Loss: 2.0647, Perplexity: 7.8829\n", + "Epoch [1/5], Step [2740/3236], Loss: 2.0275, Perplexity: 7.5951\n", + "Epoch [1/5], Step [2750/3236], Loss: 2.3175, Perplexity: 10.1506\n", + "Epoch [1/5], Step [2760/3236], Loss: 2.0268, Perplexity: 7.5896\n", + "Epoch [1/5], Step [2770/3236], Loss: 2.0730, Perplexity: 7.9486\n", + "Epoch [1/5], Step [2780/3236], Loss: 2.0574, Perplexity: 7.8255\n", + "Epoch [1/5], Step [2790/3236], Loss: 2.0793, Perplexity: 7.9985\n", + "Epoch [1/5], Step [2800/3236], Loss: 2.1275, Perplexity: 8.3937\n", + "Epoch [1/5], Step [2810/3236], Loss: 2.1002, Perplexity: 8.1681\n", + "Epoch [1/5], Step [2820/3236], Loss: 2.1176, Perplexity: 8.3113\n", + "Epoch [1/5], Step [2830/3236], Loss: 2.0830, Perplexity: 8.0282\n", + "Epoch [1/5], Step [2840/3236], Loss: 2.1694, Perplexity: 8.7526\n", + "Epoch [1/5], Step [2850/3236], Loss: 2.2633, Perplexity: 9.6151\n", + "Epoch [1/5], Step [2860/3236], Loss: 2.0916, Perplexity: 8.0978\n", + "Epoch [1/5], Step [2870/3236], Loss: 2.1398, Perplexity: 8.4973\n", + "Epoch [1/5], Step [2880/3236], Loss: 2.2981, Perplexity: 9.9549\n", + "Epoch [1/5], Step [2890/3236], Loss: 2.2163, Perplexity: 9.1736\n", + "Epoch [1/5], Step [2900/3236], Loss: 2.1094, Perplexity: 8.2436\n", + "Epoch [1/5], Step [2910/3236], Loss: 2.1199, Perplexity: 8.3299\n", + "Epoch [1/5], Step [2920/3236], Loss: 2.0447, Perplexity: 7.7271\n", + "Epoch [1/5], Step [2930/3236], Loss: 2.1526, Perplexity: 8.6075\n", + "Epoch [1/5], Step [2940/3236], Loss: 2.0945, Perplexity: 8.1214\n", + "Epoch [1/5], Step [2950/3236], Loss: 1.9816, Perplexity: 7.2542\n", + "Epoch [1/5], Step [2960/3236], Loss: 2.0338, Perplexity: 7.6432\n", + "Epoch [1/5], Step [2970/3236], Loss: 2.2415, Perplexity: 9.4070\n", + "Epoch [1/5], Step [2980/3236], Loss: 2.1381, Perplexity: 8.4829\n", + "Epoch [1/5], Step [2990/3236], Loss: 2.1268, Perplexity: 8.3877\n", + "Epoch [1/5], Step [3000/3236], Loss: 2.0015, Perplexity: 7.4000\n", + "Epoch [1/5], Step [3010/3236], Loss: 2.1064, Perplexity: 8.2184\n", + "Epoch [1/5], Step [3020/3236], Loss: 2.1737, Perplexity: 8.7912\n", + "Epoch [1/5], Step [3030/3236], Loss: 2.0277, Perplexity: 7.5968\n", + "Epoch [1/5], Step [3040/3236], Loss: 1.9368, Perplexity: 6.9363\n", + "Epoch [1/5], Step [3050/3236], Loss: 2.0299, Perplexity: 7.6137\n", + "Epoch [1/5], Step [3060/3236], Loss: 2.0449, Perplexity: 7.7287\n", + "Epoch [1/5], Step [3070/3236], Loss: 2.1626, Perplexity: 8.6934\n", + "Epoch [1/5], Step [3080/3236], Loss: 2.0914, Perplexity: 8.0959\n", + "Epoch [1/5], Step [3090/3236], Loss: 1.9846, Perplexity: 7.2758\n", + "Epoch [1/5], Step [3100/3236], Loss: 2.1890, Perplexity: 8.9261\n", + "Epoch [1/5], Step [3110/3236], Loss: 2.0595, Perplexity: 7.8421\n", + "Epoch [1/5], Step [3120/3236], Loss: 2.1843, Perplexity: 8.8841\n", + "Epoch [1/5], Step [3130/3236], Loss: 2.1214, Perplexity: 8.3425\n", + "Epoch [1/5], Step [3140/3236], Loss: 2.1949, Perplexity: 8.9791\n", + "Epoch [1/5], Step [3150/3236], Loss: 1.9839, Perplexity: 7.2712\n", + "Epoch [1/5], Step [3160/3236], Loss: 2.2703, Perplexity: 9.6819\n", + "Epoch [1/5], Step [3170/3236], Loss: 2.1461, Perplexity: 8.5515\n", + "Epoch [1/5], Step [3180/3236], Loss: 2.1192, Perplexity: 8.3246\n", + "Epoch [1/5], Step [3190/3236], Loss: 2.0197, Perplexity: 7.5363\n", + "Epoch [1/5], Step [3200/3236], Loss: 2.2509, Perplexity: 9.4961\n", + "Epoch [1/5], Step [3210/3236], Loss: 2.0330, Perplexity: 7.6373\n", + "Epoch [1/5], Step [3220/3236], Loss: 2.2890, Perplexity: 9.8646\n", + "Epoch [1/5], Step [3230/3236], Loss: 2.0970, Perplexity: 8.1419\n", + "Epoch [2/5], Step [0/3236], Loss: 1.9441, Perplexity: 6.9870\n", + "Epoch [2/5], Step [10/3236], Loss: 2.0275, Perplexity: 7.5949\n", + "Epoch [2/5], Step [20/3236], Loss: 2.0349, Perplexity: 7.6517\n", + "Epoch [2/5], Step [30/3236], Loss: 2.0939, Perplexity: 8.1165\n", + "Epoch [2/5], Step [40/3236], Loss: 1.9318, Perplexity: 6.9019\n", + "Epoch [2/5], Step [50/3236], Loss: 1.8954, Perplexity: 6.6555\n", + "Epoch [2/5], Step [60/3236], Loss: 1.8640, Perplexity: 6.4494\n", + "Epoch [2/5], Step [70/3236], Loss: 2.0689, Perplexity: 7.9162\n", + "Epoch [2/5], Step [80/3236], Loss: 1.8552, Perplexity: 6.3933\n", + "Epoch [2/5], Step [90/3236], Loss: 2.0485, Perplexity: 7.7560\n", + "Epoch [2/5], Step [100/3236], Loss: 2.0361, Perplexity: 7.6605\n", + "Epoch [2/5], Step [110/3236], Loss: 1.9452, Perplexity: 6.9949\n", + "Epoch [2/5], Step [120/3236], Loss: 2.1031, Perplexity: 8.1917\n", + "Epoch [2/5], Step [130/3236], Loss: 2.1280, Perplexity: 8.3983\n", + "Epoch [2/5], Step [140/3236], Loss: 1.9101, Perplexity: 6.7539\n", + "Epoch [2/5], Step [150/3236], Loss: 2.0394, Perplexity: 7.6857\n", + "Epoch [2/5], Step [160/3236], Loss: 1.9583, Perplexity: 7.0872\n", + "Epoch [2/5], Step [170/3236], Loss: 2.0654, Perplexity: 7.8886\n", + "Epoch [2/5], Step [180/3236], Loss: 2.0987, Perplexity: 8.1559\n", + "Epoch [2/5], Step [190/3236], Loss: 2.0481, Perplexity: 7.7534\n", + "Epoch [2/5], Step [200/3236], Loss: 1.9586, Perplexity: 7.0894\n", + "Epoch [2/5], Step [210/3236], Loss: 2.0312, Perplexity: 7.6229\n", + "Epoch [2/5], Step [220/3236], Loss: 2.0167, Perplexity: 7.5134\n", + "Epoch [2/5], Step [230/3236], Loss: 2.1039, Perplexity: 8.1983\n", + "Epoch [2/5], Step [240/3236], Loss: 2.0388, Perplexity: 7.6811\n", + "Epoch [2/5], Step [250/3236], Loss: 2.0231, Perplexity: 7.5618\n", + "Epoch [2/5], Step [260/3236], Loss: 1.9863, Perplexity: 7.2888\n", + "Epoch [2/5], Step [270/3236], Loss: 1.8086, Perplexity: 6.1016\n", + "Epoch [2/5], Step [280/3236], Loss: 2.0518, Perplexity: 7.7820\n", + "Epoch [2/5], Step [290/3236], Loss: 2.1045, Perplexity: 8.2026\n", + "Epoch [2/5], Step [300/3236], Loss: 1.8893, Perplexity: 6.6148\n", + "Epoch [2/5], Step [310/3236], Loss: 1.9916, Perplexity: 7.3275\n", + "Epoch [2/5], Step [320/3236], Loss: 2.0611, Perplexity: 7.8549\n", + "Epoch [2/5], Step [330/3236], Loss: 2.0239, Perplexity: 7.5679\n", + "Epoch [2/5], Step [340/3236], Loss: 2.0317, Perplexity: 7.6268\n", + "Epoch [2/5], Step [350/3236], Loss: 2.0405, Perplexity: 7.6943\n", + "Epoch [2/5], Step [360/3236], Loss: 1.8732, Perplexity: 6.5091\n", + "Epoch [2/5], Step [370/3236], Loss: 1.9493, Perplexity: 7.0239\n", + "Epoch [2/5], Step [380/3236], Loss: 2.1659, Perplexity: 8.7226\n", + "Epoch [2/5], Step [390/3236], Loss: 2.0472, Perplexity: 7.7461\n", + "Epoch [2/5], Step [400/3236], Loss: 1.9941, Perplexity: 7.3459\n", + "Epoch [2/5], Step [410/3236], Loss: 2.1458, Perplexity: 8.5491\n", + "Epoch [2/5], Step [420/3236], Loss: 1.9895, Perplexity: 7.3121\n", + "Epoch [2/5], Step [430/3236], Loss: 2.0012, Perplexity: 7.3977\n", + "Epoch [2/5], Step [440/3236], Loss: 1.8708, Perplexity: 6.4933\n", + "Epoch [2/5], Step [450/3236], Loss: 2.0327, Perplexity: 7.6344\n", + "Epoch [2/5], Step [460/3236], Loss: 2.0330, Perplexity: 7.6370\n", + "Epoch [2/5], Step [470/3236], Loss: 2.0621, Perplexity: 7.8626\n", + "Epoch [2/5], Step [480/3236], Loss: 1.9732, Perplexity: 7.1936\n", + "Epoch [2/5], Step [490/3236], Loss: 1.9597, Perplexity: 7.0975\n", + "Epoch [2/5], Step [500/3236], Loss: 2.0840, Perplexity: 8.0368\n", + "Epoch [2/5], Step [510/3236], Loss: 2.0700, Perplexity: 7.9246\n", + "Epoch [2/5], Step [520/3236], Loss: 1.9139, Perplexity: 6.7798\n", + "Epoch [2/5], Step [530/3236], Loss: 1.8753, Perplexity: 6.5228\n", + "Epoch [2/5], Step [540/3236], Loss: 1.9756, Perplexity: 7.2113\n", + "Epoch [2/5], Step [550/3236], Loss: 1.9549, Perplexity: 7.0634\n", + "Epoch [2/5], Step [560/3236], Loss: 1.9116, Perplexity: 6.7637\n", + "Epoch [2/5], Step [570/3236], Loss: 2.0540, Perplexity: 7.7992\n", + "Epoch [2/5], Step [580/3236], Loss: 2.0095, Perplexity: 7.4596\n", + "Epoch [2/5], Step [590/3236], Loss: 2.1221, Perplexity: 8.3486\n", + "Epoch [2/5], Step [600/3236], Loss: 2.0240, Perplexity: 7.5682\n", + "Epoch [2/5], Step [610/3236], Loss: 2.0775, Perplexity: 7.9842\n", + "Epoch [2/5], Step [620/3236], Loss: 2.0495, Perplexity: 7.7643\n", + "Epoch [2/5], Step [630/3236], Loss: 1.9002, Perplexity: 6.6874\n", + "Epoch [2/5], Step [640/3236], Loss: 1.9624, Perplexity: 7.1165\n", + "Epoch [2/5], Step [650/3236], Loss: 1.9396, Perplexity: 6.9561\n", + "Epoch [2/5], Step [660/3236], Loss: 1.9708, Perplexity: 7.1764\n", + "Epoch [2/5], Step [670/3236], Loss: 2.0653, Perplexity: 7.8874\n", + "Epoch [2/5], Step [680/3236], Loss: 2.0328, Perplexity: 7.6352\n", + "Epoch [2/5], Step [690/3236], Loss: 1.9551, Perplexity: 7.0650\n", + "Epoch [2/5], Step [700/3236], Loss: 2.0677, Perplexity: 7.9068\n", + "Epoch [2/5], Step [710/3236], Loss: 1.9537, Perplexity: 7.0544\n", + "Epoch [2/5], Step [720/3236], Loss: 2.0032, Perplexity: 7.4125\n", + "Epoch [2/5], Step [730/3236], Loss: 1.9932, Perplexity: 7.3393\n", + "Epoch [2/5], Step [740/3236], Loss: 2.0487, Perplexity: 7.7578\n", + "Epoch [2/5], Step [750/3236], Loss: 1.9799, Perplexity: 7.2418\n", + "Epoch [2/5], Step [760/3236], Loss: 2.0578, Perplexity: 7.8290\n", + "Epoch [2/5], Step [770/3236], Loss: 2.0829, Perplexity: 8.0275\n", + "Epoch [2/5], Step [780/3236], Loss: 1.9902, Perplexity: 7.3171\n", + "Epoch [2/5], Step [790/3236], Loss: 2.0762, Perplexity: 7.9739\n", + "Epoch [2/5], Step [800/3236], Loss: 2.0172, Perplexity: 7.5175\n", + "Epoch [2/5], Step [810/3236], Loss: 1.9909, Perplexity: 7.3223\n", + "Epoch [2/5], Step [820/3236], Loss: 2.0832, Perplexity: 8.0297\n", + "Epoch [2/5], Step [830/3236], Loss: 2.1371, Perplexity: 8.4747\n", + "Epoch [2/5], Step [840/3236], Loss: 2.0908, Perplexity: 8.0915\n", + "Epoch [2/5], Step [850/3236], Loss: 1.9144, Perplexity: 6.7826\n", + "Epoch [2/5], Step [860/3236], Loss: 1.9190, Perplexity: 6.8142\n", + "Epoch [2/5], Step [870/3236], Loss: 2.0299, Perplexity: 7.6130\n", + "Epoch [2/5], Step [880/3236], Loss: 2.0706, Perplexity: 7.9297\n", + "Epoch [2/5], Step [890/3236], Loss: 2.0215, Perplexity: 7.5495\n", + "Epoch [2/5], Step [900/3236], Loss: 1.9406, Perplexity: 6.9629\n", + "Epoch [2/5], Step [910/3236], Loss: 1.9452, Perplexity: 6.9949\n", + "Epoch [2/5], Step [920/3236], Loss: 1.9694, Perplexity: 7.1660\n", + "Epoch [2/5], Step [930/3236], Loss: 1.9867, Perplexity: 7.2914\n", + "Epoch [2/5], Step [940/3236], Loss: 1.9175, Perplexity: 6.8037\n", + "Epoch [2/5], Step [950/3236], Loss: 2.0039, Perplexity: 7.4179\n", + "Epoch [2/5], Step [960/3236], Loss: 1.9607, Perplexity: 7.1045\n", + "Epoch [2/5], Step [970/3236], Loss: 2.0125, Perplexity: 7.4817\n", + "Epoch [2/5], Step [980/3236], Loss: 1.9979, Perplexity: 7.3734\n", + "Epoch [2/5], Step [990/3236], Loss: 1.9646, Perplexity: 7.1323\n", + "Epoch [2/5], Step [1000/3236], Loss: 1.9874, Perplexity: 7.2968\n", + "Epoch [2/5], Step [1010/3236], Loss: 1.9535, Perplexity: 7.0536\n", + "Epoch [2/5], Step [1020/3236], Loss: 1.9673, Perplexity: 7.1515\n", + "Epoch [2/5], Step [1030/3236], Loss: 2.0552, Perplexity: 7.8082\n", + "Epoch [2/5], Step [1040/3236], Loss: 2.0401, Perplexity: 7.6912\n", + "Epoch [2/5], Step [1050/3236], Loss: 1.9551, Perplexity: 7.0647\n", + "Epoch [2/5], Step [1060/3236], Loss: 2.0016, Perplexity: 7.4006\n", + "Epoch [2/5], Step [1070/3236], Loss: 1.9909, Perplexity: 7.3225\n", + "Epoch [2/5], Step [1080/3236], Loss: 2.0533, Perplexity: 7.7939\n", + "Epoch [2/5], Step [1090/3236], Loss: 2.1767, Perplexity: 8.8175\n", + "Epoch [2/5], Step [1100/3236], Loss: 1.9649, Perplexity: 7.1341\n", + "Epoch [2/5], Step [1110/3236], Loss: 2.0236, Perplexity: 7.5657\n", + "Epoch [2/5], Step [1120/3236], Loss: 2.0213, Perplexity: 7.5481\n", + "Epoch [2/5], Step [1130/3236], Loss: 2.0017, Perplexity: 7.4019\n", + "Epoch [2/5], Step [1140/3236], Loss: 2.0271, Perplexity: 7.5922\n", + "Epoch [2/5], Step [1150/3236], Loss: 1.9364, Perplexity: 6.9339\n", + "Epoch [2/5], Step [1160/3236], Loss: 1.9527, Perplexity: 7.0474\n", + "Epoch [2/5], Step [1170/3236], Loss: 2.0675, Perplexity: 7.9054\n", + "Epoch [2/5], Step [1180/3236], Loss: 1.9700, Perplexity: 7.1709\n", + "Epoch [2/5], Step [1190/3236], Loss: 1.9839, Perplexity: 7.2713\n", + "Epoch [2/5], Step [1200/3236], Loss: 1.9160, Perplexity: 6.7934\n", + "Epoch [2/5], Step [1210/3236], Loss: 1.9328, Perplexity: 6.9085\n", + "Epoch [2/5], Step [1220/3236], Loss: 1.8890, Perplexity: 6.6130\n", + "Epoch [2/5], Step [1230/3236], Loss: 2.0294, Perplexity: 7.6094\n", + "Epoch [2/5], Step [1240/3236], Loss: 1.8871, Perplexity: 6.5999\n", + "Epoch [2/5], Step [1250/3236], Loss: 2.1267, Perplexity: 8.3869\n", + "Epoch [2/5], Step [1260/3236], Loss: 1.9748, Perplexity: 7.2051\n", + "Epoch [2/5], Step [1270/3236], Loss: 1.9808, Perplexity: 7.2486\n", + "Epoch [2/5], Step [1280/3236], Loss: 2.1248, Perplexity: 8.3712\n", + "Epoch [2/5], Step [1290/3236], Loss: 2.0187, Perplexity: 7.5283\n", + "Epoch [2/5], Step [1300/3236], Loss: 2.0260, Perplexity: 7.5835\n", + "Epoch [2/5], Step [1310/3236], Loss: 2.0630, Perplexity: 7.8694\n", + "Epoch [2/5], Step [1320/3236], Loss: 1.9910, Perplexity: 7.3227\n", + "Epoch [2/5], Step [1330/3236], Loss: 1.9371, Perplexity: 6.9388\n", + "Epoch [2/5], Step [1340/3236], Loss: 1.9790, Perplexity: 7.2355\n", + "Epoch [2/5], Step [1350/3236], Loss: 2.0048, Perplexity: 7.4248\n", + "Epoch [2/5], Step [1360/3236], Loss: 2.0677, Perplexity: 7.9065\n", + "Epoch [2/5], Step [1370/3236], Loss: 1.9869, Perplexity: 7.2929\n", + "Epoch [2/5], Step [1380/3236], Loss: 1.9693, Perplexity: 7.1657\n", + "Epoch [2/5], Step [1390/3236], Loss: 1.9904, Perplexity: 7.3187\n", + "Epoch [2/5], Step [1400/3236], Loss: 1.9119, Perplexity: 6.7661\n", + "Epoch [2/5], Step [1410/3236], Loss: 2.0518, Perplexity: 7.7817\n", + "Epoch [2/5], Step [1420/3236], Loss: 2.0451, Perplexity: 7.7296\n", + "Epoch [2/5], Step [1430/3236], Loss: 2.0354, Perplexity: 7.6553\n", + "Epoch [2/5], Step [1440/3236], Loss: 1.9802, Perplexity: 7.2441\n", + "Epoch [2/5], Step [1450/3236], Loss: 2.0369, Perplexity: 7.6672\n", + "Epoch [2/5], Step [1460/3236], Loss: 2.0184, Perplexity: 7.5266\n", + "Epoch [2/5], Step [1470/3236], Loss: 1.9810, Perplexity: 7.2501\n", + "Epoch [2/5], Step [1480/3236], Loss: 2.0519, Perplexity: 7.7825\n", + "Epoch [2/5], Step [1490/3236], Loss: 2.0514, Perplexity: 7.7789\n", + "Epoch [2/5], Step [1500/3236], Loss: 2.1055, Perplexity: 8.2114\n", + "Epoch [2/5], Step [1510/3236], Loss: 1.9522, Perplexity: 7.0443\n", + "Epoch [2/5], Step [1520/3236], Loss: 2.0076, Perplexity: 7.4451\n", + "Epoch [2/5], Step [1530/3236], Loss: 2.0662, Perplexity: 7.8949\n", + "Epoch [2/5], Step [1540/3236], Loss: 2.0290, Perplexity: 7.6061\n", + "Epoch [2/5], Step [1550/3236], Loss: 2.0375, Perplexity: 7.6712\n", + "Epoch [2/5], Step [1560/3236], Loss: 1.9606, Perplexity: 7.1039\n", + "Epoch [2/5], Step [1570/3236], Loss: 1.9727, Perplexity: 7.1903\n", + "Epoch [2/5], Step [1580/3236], Loss: 2.1209, Perplexity: 8.3390\n", + "Epoch [2/5], Step [1590/3236], Loss: 1.8878, Perplexity: 6.6046\n", + "Epoch [2/5], Step [1600/3236], Loss: 2.0712, Perplexity: 7.9343\n", + "Epoch [2/5], Step [1610/3236], Loss: 2.0600, Perplexity: 7.8460\n", + "Epoch [2/5], Step [1620/3236], Loss: 2.0324, Perplexity: 7.6322\n", + "Epoch [2/5], Step [1630/3236], Loss: 1.8891, Perplexity: 6.6132\n", + "Epoch [2/5], Step [1640/3236], Loss: 2.0364, Perplexity: 7.6630\n", + "Epoch [2/5], Step [1650/3236], Loss: 1.9976, Perplexity: 7.3711\n", + "Epoch [2/5], Step [1660/3236], Loss: 1.9970, Perplexity: 7.3669\n", + "Epoch [2/5], Step [1670/3236], Loss: 1.9228, Perplexity: 6.8400\n", + "Epoch [2/5], Step [1680/3236], Loss: 2.1563, Perplexity: 8.6392\n", + "Epoch [2/5], Step [1690/3236], Loss: 2.0459, Perplexity: 7.7360\n", + "Epoch [2/5], Step [1700/3236], Loss: 1.9762, Perplexity: 7.2150\n", + "Epoch [2/5], Step [1710/3236], Loss: 1.9683, Perplexity: 7.1582\n", + "Epoch [2/5], Step [1720/3236], Loss: 1.9896, Perplexity: 7.3123\n", + "Epoch [2/5], Step [1730/3236], Loss: 2.0678, Perplexity: 7.9071\n", + "Epoch [2/5], Step [1740/3236], Loss: 1.9015, Perplexity: 6.6959\n", + "Epoch [2/5], Step [1750/3236], Loss: 2.0383, Perplexity: 7.6772\n", + "Epoch [2/5], Step [1760/3236], Loss: 2.0808, Perplexity: 8.0108\n", + "Epoch [2/5], Step [1770/3236], Loss: 2.0275, Perplexity: 7.5947\n", + "Epoch [2/5], Step [1780/3236], Loss: 1.9177, Perplexity: 6.8055\n", + "Epoch [2/5], Step [1790/3236], Loss: 1.9513, Perplexity: 7.0377\n", + "Epoch [2/5], Step [1800/3236], Loss: 1.7666, Perplexity: 5.8512\n", + "Epoch [2/5], Step [1810/3236], Loss: 2.0080, Perplexity: 7.4485\n", + "Epoch [2/5], Step [1820/3236], Loss: 2.0171, Perplexity: 7.5163\n", + "Epoch [2/5], Step [1830/3236], Loss: 1.9859, Perplexity: 7.2858\n", + "Epoch [2/5], Step [1840/3236], Loss: 1.9885, Perplexity: 7.3044\n", + "Epoch [2/5], Step [1850/3236], Loss: 2.0149, Perplexity: 7.4997\n", + "Epoch [2/5], Step [1860/3236], Loss: 1.9520, Perplexity: 7.0426\n", + "Epoch [2/5], Step [1870/3236], Loss: 2.0959, Perplexity: 8.1328\n", + "Epoch [2/5], Step [1880/3236], Loss: 1.9840, Perplexity: 7.2717\n", + "Epoch [2/5], Step [1890/3236], Loss: 1.8924, Perplexity: 6.6350\n", + "Epoch [2/5], Step [1900/3236], Loss: 1.9213, Perplexity: 6.8301\n", + "Epoch [2/5], Step [1910/3236], Loss: 1.9993, Perplexity: 7.3841\n", + "Epoch [2/5], Step [1920/3236], Loss: 1.9657, Perplexity: 7.1397\n", + "Epoch [2/5], Step [1930/3236], Loss: 2.0689, Perplexity: 7.9161\n", + "Epoch [2/5], Step [1940/3236], Loss: 2.0337, Perplexity: 7.6426\n", + "Epoch [2/5], Step [1950/3236], Loss: 2.0326, Perplexity: 7.6336\n", + "Epoch [2/5], Step [1960/3236], Loss: 2.0188, Perplexity: 7.5290\n", + "Epoch [2/5], Step [1970/3236], Loss: 1.9516, Perplexity: 7.0397\n", + "Epoch [2/5], Step [1980/3236], Loss: 2.0283, Perplexity: 7.6013\n", + "Epoch [2/5], Step [1990/3236], Loss: 2.0615, Perplexity: 7.8577\n", + "Epoch [2/5], Step [2000/3236], Loss: 1.9597, Perplexity: 7.0973\n", + "Epoch [2/5], Step [2010/3236], Loss: 1.9188, Perplexity: 6.8129\n", + "Epoch [2/5], Step [2020/3236], Loss: 2.0794, Perplexity: 7.9996\n", + "Epoch [2/5], Step [2030/3236], Loss: 2.0528, Perplexity: 7.7895\n", + "Epoch [2/5], Step [2040/3236], Loss: 1.9345, Perplexity: 6.9208\n", + "Epoch [2/5], Step [2050/3236], Loss: 1.8983, Perplexity: 6.6747\n", + "Epoch [2/5], Step [2060/3236], Loss: 2.0273, Perplexity: 7.5936\n", + "Epoch [2/5], Step [2070/3236], Loss: 1.9587, Perplexity: 7.0900\n", + "Epoch [2/5], Step [2080/3236], Loss: 1.9628, Perplexity: 7.1195\n", + "Epoch [2/5], Step [2090/3236], Loss: 2.0508, Perplexity: 7.7740\n", + "Epoch [2/5], Step [2100/3236], Loss: 2.0000, Perplexity: 7.3893\n", + "Epoch [2/5], Step [2110/3236], Loss: 2.0868, Perplexity: 8.0592\n", + "Epoch [2/5], Step [2120/3236], Loss: 2.1429, Perplexity: 8.5240\n", + "Epoch [2/5], Step [2130/3236], Loss: 1.9571, Perplexity: 7.0785\n", + "Epoch [2/5], Step [2140/3236], Loss: 2.0836, Perplexity: 8.0330\n", + "Epoch [2/5], Step [2150/3236], Loss: 2.0496, Perplexity: 7.7651\n", + "Epoch [2/5], Step [2160/3236], Loss: 1.9845, Perplexity: 7.2757\n", + "Epoch [2/5], Step [2170/3236], Loss: 1.9694, Perplexity: 7.1661\n", + "Epoch [2/5], Step [2180/3236], Loss: 1.8584, Perplexity: 6.4133\n", + "Epoch [2/5], Step [2190/3236], Loss: 2.0996, Perplexity: 8.1632\n", + "Epoch [2/5], Step [2200/3236], Loss: 2.0232, Perplexity: 7.5622\n", + "Epoch [2/5], Step [2210/3236], Loss: 2.0705, Perplexity: 7.9287\n", + "Epoch [2/5], Step [2220/3236], Loss: 2.0602, Perplexity: 7.8478\n", + "Epoch [2/5], Step [2230/3236], Loss: 2.0444, Perplexity: 7.7244\n", + "Epoch [2/5], Step [2240/3236], Loss: 2.0134, Perplexity: 7.4891\n", + "Epoch [2/5], Step [2250/3236], Loss: 1.9427, Perplexity: 6.9779\n", + "Epoch [2/5], Step [2260/3236], Loss: 1.9946, Perplexity: 7.3494\n", + "Epoch [2/5], Step [2270/3236], Loss: 1.9702, Perplexity: 7.1719\n", + "Epoch [2/5], Step [2280/3236], Loss: 2.1501, Perplexity: 8.5861\n", + "Epoch [2/5], Step [2290/3236], Loss: 1.8708, Perplexity: 6.4934\n", + "Epoch [2/5], Step [2300/3236], Loss: 1.9255, Perplexity: 6.8585\n", + "Epoch [2/5], Step [2310/3236], Loss: 2.0379, Perplexity: 7.6743\n", + "Epoch [2/5], Step [2320/3236], Loss: 1.9873, Perplexity: 7.2957\n", + "Epoch [2/5], Step [2330/3236], Loss: 1.9277, Perplexity: 6.8737\n", + "Epoch [2/5], Step [2340/3236], Loss: 1.9625, Perplexity: 7.1168\n", + "Epoch [2/5], Step [2350/3236], Loss: 2.0046, Perplexity: 7.4233\n", + "Epoch [2/5], Step [2360/3236], Loss: 2.0186, Perplexity: 7.5277\n", + "Epoch [2/5], Step [2370/3236], Loss: 1.9167, Perplexity: 6.7986\n", + "Epoch [2/5], Step [2380/3236], Loss: 2.0109, Perplexity: 7.4704\n", + "Epoch [2/5], Step [2390/3236], Loss: 2.0492, Perplexity: 7.7615\n", + "Epoch [2/5], Step [2400/3236], Loss: 2.1164, Perplexity: 8.3009\n", + "Epoch [2/5], Step [2410/3236], Loss: 2.0789, Perplexity: 7.9954\n", + "Epoch [2/5], Step [2420/3236], Loss: 2.1056, Perplexity: 8.2121\n", + "Epoch [2/5], Step [2430/3236], Loss: 2.0359, Perplexity: 7.6589\n", + "Epoch [2/5], Step [2440/3236], Loss: 2.0425, Perplexity: 7.7099\n", + "Epoch [2/5], Step [2450/3236], Loss: 1.9500, Perplexity: 7.0289\n", + "Epoch [2/5], Step [2460/3236], Loss: 1.9598, Perplexity: 7.0982\n", + "Epoch [2/5], Step [2470/3236], Loss: 2.0580, Perplexity: 7.8300\n", + "Epoch [2/5], Step [2480/3236], Loss: 1.8889, Perplexity: 6.6120\n", + "Epoch [2/5], Step [2490/3236], Loss: 2.0294, Perplexity: 7.6093\n", + "Epoch [2/5], Step [2500/3236], Loss: 2.0454, Perplexity: 7.7322\n", + "Epoch [2/5], Step [2510/3236], Loss: 2.0790, Perplexity: 7.9962\n", + "Epoch [2/5], Step [2520/3236], Loss: 1.8978, Perplexity: 6.6710\n", + "Epoch [2/5], Step [2530/3236], Loss: 2.0523, Perplexity: 7.7858\n", + "Epoch [2/5], Step [2540/3236], Loss: 1.9804, Perplexity: 7.2455\n", + "Epoch [2/5], Step [2550/3236], Loss: 2.0231, Perplexity: 7.5616\n", + "Epoch [2/5], Step [2560/3236], Loss: 1.9653, Perplexity: 7.1370\n", + "Epoch [2/5], Step [2570/3236], Loss: 1.9609, Perplexity: 7.1055\n", + "Epoch [2/5], Step [2580/3236], Loss: 2.0535, Perplexity: 7.7949\n", + "Epoch [2/5], Step [2590/3236], Loss: 1.9942, Perplexity: 7.3466\n", + "Epoch [2/5], Step [2600/3236], Loss: 1.8767, Perplexity: 6.5321\n", + "Epoch [2/5], Step [2610/3236], Loss: 2.0817, Perplexity: 8.0177\n", + "Epoch [2/5], Step [2620/3236], Loss: 1.9591, Perplexity: 7.0931\n", + "Epoch [2/5], Step [2630/3236], Loss: 2.1138, Perplexity: 8.2795\n", + "Epoch [2/5], Step [2640/3236], Loss: 2.0204, Perplexity: 7.5410\n", + "Epoch [2/5], Step [2650/3236], Loss: 1.9579, Perplexity: 7.0844\n", + "Epoch [2/5], Step [2660/3236], Loss: 2.0207, Perplexity: 7.5438\n", + "Epoch [2/5], Step [2670/3236], Loss: 2.0646, Perplexity: 7.8818\n", + "Epoch [2/5], Step [2680/3236], Loss: 2.0923, Perplexity: 8.1039\n", + "Epoch [2/5], Step [2690/3236], Loss: 2.0232, Perplexity: 7.5626\n", + "Epoch [2/5], Step [2700/3236], Loss: 2.0556, Perplexity: 7.8119\n", + "Epoch [2/5], Step [2710/3236], Loss: 2.0032, Perplexity: 7.4126\n", + "Epoch [2/5], Step [2720/3236], Loss: 1.8616, Perplexity: 6.4338\n", + "Epoch [2/5], Step [2730/3236], Loss: 1.9539, Perplexity: 7.0562\n", + "Epoch [2/5], Step [2740/3236], Loss: 2.0212, Perplexity: 7.5475\n", + "Epoch [2/5], Step [2750/3236], Loss: 1.9049, Perplexity: 6.7190\n", + "Epoch [2/5], Step [2760/3236], Loss: 2.1572, Perplexity: 8.6473\n", + "Epoch [2/5], Step [2770/3236], Loss: 2.0032, Perplexity: 7.4126\n", + "Epoch [2/5], Step [2780/3236], Loss: 1.9668, Perplexity: 7.1475\n", + "Epoch [2/5], Step [2790/3236], Loss: 1.9845, Perplexity: 7.2752\n", + "Epoch [2/5], Step [2800/3236], Loss: 2.0328, Perplexity: 7.6354\n", + "Epoch [2/5], Step [2810/3236], Loss: 1.9869, Perplexity: 7.2931\n", + "Epoch [2/5], Step [2820/3236], Loss: 2.0338, Perplexity: 7.6428\n", + "Epoch [2/5], Step [2830/3236], Loss: 1.9357, Perplexity: 6.9292\n", + "Epoch [2/5], Step [2840/3236], Loss: 2.0601, Perplexity: 7.8468\n", + "Epoch [2/5], Step [2850/3236], Loss: 1.9909, Perplexity: 7.3224\n", + "Epoch [2/5], Step [2860/3236], Loss: 2.1036, Perplexity: 8.1955\n", + "Epoch [2/5], Step [2870/3236], Loss: 2.0816, Perplexity: 8.0169\n", + "Epoch [2/5], Step [2880/3236], Loss: 2.1500, Perplexity: 8.5851\n", + "Epoch [2/5], Step [2890/3236], Loss: 1.9170, Perplexity: 6.8002\n", + "Epoch [2/5], Step [2900/3236], Loss: 2.0201, Perplexity: 7.5393\n", + "Epoch [2/5], Step [2910/3236], Loss: 1.9642, Perplexity: 7.1289\n", + "Epoch [2/5], Step [2920/3236], Loss: 1.8397, Perplexity: 6.2949\n", + "Epoch [2/5], Step [2930/3236], Loss: 1.9641, Perplexity: 7.1285\n", + "Epoch [2/5], Step [2940/3236], Loss: 2.1140, Perplexity: 8.2813\n", + "Epoch [2/5], Step [2950/3236], Loss: 2.0084, Perplexity: 7.4514\n", + "Epoch [2/5], Step [2960/3236], Loss: 1.9542, Perplexity: 7.0584\n", + "Epoch [2/5], Step [2970/3236], Loss: 1.9977, Perplexity: 7.3722\n", + "Epoch [2/5], Step [2980/3236], Loss: 1.9539, Perplexity: 7.0560\n", + "Epoch [2/5], Step [2990/3236], Loss: 2.1037, Perplexity: 8.1964\n", + "Epoch [2/5], Step [3000/3236], Loss: 1.9049, Perplexity: 6.7188\n", + "Epoch [2/5], Step [3010/3236], Loss: 2.1460, Perplexity: 8.5506\n", + "Epoch [2/5], Step [3020/3236], Loss: 2.1150, Perplexity: 8.2893\n", + "Epoch [2/5], Step [3030/3236], Loss: 2.0068, Perplexity: 7.4396\n", + "Epoch [2/5], Step [3040/3236], Loss: 2.0718, Perplexity: 7.9392\n", + "Epoch [2/5], Step [3050/3236], Loss: 1.8973, Perplexity: 6.6682\n", + "Epoch [2/5], Step [3060/3236], Loss: 1.9454, Perplexity: 6.9966\n", + "Epoch [2/5], Step [3070/3236], Loss: 2.1536, Perplexity: 8.6158\n", + "Epoch [2/5], Step [3080/3236], Loss: 2.0410, Perplexity: 7.6986\n", + "Epoch [2/5], Step [3090/3236], Loss: 2.0017, Perplexity: 7.4019\n", + "Epoch [2/5], Step [3100/3236], Loss: 2.1061, Perplexity: 8.2164\n", + "Epoch [2/5], Step [3110/3236], Loss: 1.9280, Perplexity: 6.8755\n", + "Epoch [2/5], Step [3120/3236], Loss: 2.0180, Perplexity: 7.5230\n", + "Epoch [2/5], Step [3130/3236], Loss: 1.9765, Perplexity: 7.2175\n", + "Epoch [2/5], Step [3140/3236], Loss: 2.0602, Perplexity: 7.8477\n", + "Epoch [2/5], Step [3150/3236], Loss: 1.8979, Perplexity: 6.6721\n", + "Epoch [2/5], Step [3160/3236], Loss: 2.1688, Perplexity: 8.7477\n", + "Epoch [2/5], Step [3170/3236], Loss: 1.9768, Perplexity: 7.2196\n", + "Epoch [2/5], Step [3180/3236], Loss: 1.9202, Perplexity: 6.8223\n", + "Epoch [2/5], Step [3190/3236], Loss: 1.8673, Perplexity: 6.4709\n", + "Epoch [2/5], Step [3200/3236], Loss: 1.9730, Perplexity: 7.1919\n", + "Epoch [2/5], Step [3210/3236], Loss: 1.9157, Perplexity: 6.7919\n", + "Epoch [2/5], Step [3220/3236], Loss: 2.0240, Perplexity: 7.5688\n", + "Epoch [2/5], Step [3230/3236], Loss: 2.0019, Perplexity: 7.4028\n", + "Epoch [3/5], Step [0/3236], Loss: 1.9679, Perplexity: 7.1558\n", + "Epoch [3/5], Step [10/3236], Loss: 1.9171, Perplexity: 6.8010\n", + "Epoch [3/5], Step [20/3236], Loss: 2.0581, Perplexity: 7.8311\n", + "Epoch [3/5], Step [30/3236], Loss: 1.8318, Perplexity: 6.2450\n", + "Epoch [3/5], Step [40/3236], Loss: 1.8792, Perplexity: 6.5481\n", + "Epoch [3/5], Step [50/3236], Loss: 1.8739, Perplexity: 6.5136\n", + "Epoch [3/5], Step [60/3236], Loss: 1.8444, Perplexity: 6.3244\n", + "Epoch [3/5], Step [70/3236], Loss: 1.9380, Perplexity: 6.9449\n", + "Epoch [3/5], Step [80/3236], Loss: 2.0354, Perplexity: 7.6552\n", + "Epoch [3/5], Step [90/3236], Loss: 1.8920, Perplexity: 6.6329\n", + "Epoch [3/5], Step [100/3236], Loss: 1.8353, Perplexity: 6.2667\n", + "Epoch [3/5], Step [110/3236], Loss: 1.8716, Perplexity: 6.4984\n", + "Epoch [3/5], Step [120/3236], Loss: 1.8952, Perplexity: 6.6537\n", + "Epoch [3/5], Step [130/3236], Loss: 1.8333, Perplexity: 6.2547\n", + "Epoch [3/5], Step [140/3236], Loss: 2.0019, Perplexity: 7.4029\n", + "Epoch [3/5], Step [150/3236], Loss: 1.9048, Perplexity: 6.7181\n", + "Epoch [3/5], Step [160/3236], Loss: 1.9275, Perplexity: 6.8722\n", + "Epoch [3/5], Step [170/3236], Loss: 1.9164, Perplexity: 6.7968\n", + "Epoch [3/5], Step [180/3236], Loss: 1.9746, Perplexity: 7.2040\n", + "Epoch [3/5], Step [190/3236], Loss: 2.0043, Perplexity: 7.4210\n", + "Epoch [3/5], Step [200/3236], Loss: 1.9494, Perplexity: 7.0243\n", + "Epoch [3/5], Step [210/3236], Loss: 1.7739, Perplexity: 5.8935\n", + "Epoch [3/5], Step [220/3236], Loss: 1.8978, Perplexity: 6.6713\n", + "Epoch [3/5], Step [230/3236], Loss: 1.9827, Perplexity: 7.2625\n", + "Epoch [3/5], Step [240/3236], Loss: 1.8322, Perplexity: 6.2473\n", + "Epoch [3/5], Step [250/3236], Loss: 1.7889, Perplexity: 5.9828\n", + "Epoch [3/5], Step [260/3236], Loss: 1.9045, Perplexity: 6.7157\n", + "Epoch [3/5], Step [270/3236], Loss: 1.8443, Perplexity: 6.3234\n", + "Epoch [3/5], Step [280/3236], Loss: 1.8047, Perplexity: 6.0781\n", + "Epoch [3/5], Step [290/3236], Loss: 1.8600, Perplexity: 6.4235\n", + "Epoch [3/5], Step [300/3236], Loss: 1.8880, Perplexity: 6.6063\n", + "Epoch [3/5], Step [310/3236], Loss: 1.8762, Perplexity: 6.5286\n", + "Epoch [3/5], Step [320/3236], Loss: 1.9295, Perplexity: 6.8858\n", + "Epoch [3/5], Step [330/3236], Loss: 1.8883, Perplexity: 6.6081\n", + "Epoch [3/5], Step [340/3236], Loss: 1.8879, Perplexity: 6.6053\n", + "Epoch [3/5], Step [350/3236], Loss: 1.9159, Perplexity: 6.7928\n", + "Epoch [3/5], Step [360/3236], Loss: 1.8830, Perplexity: 6.5731\n", + "Epoch [3/5], Step [370/3236], Loss: 1.9208, Perplexity: 6.8267\n", + "Epoch [3/5], Step [380/3236], Loss: 1.9171, Perplexity: 6.8010\n", + "Epoch [3/5], Step [390/3236], Loss: 1.8231, Perplexity: 6.1909\n", + "Epoch [3/5], Step [400/3236], Loss: 2.0175, Perplexity: 7.5192\n", + "Epoch [3/5], Step [410/3236], Loss: 1.8360, Perplexity: 6.2712\n", + "Epoch [3/5], Step [420/3236], Loss: 1.9353, Perplexity: 6.9260\n", + "Epoch [3/5], Step [430/3236], Loss: 1.8909, Perplexity: 6.6252\n", + "Epoch [3/5], Step [440/3236], Loss: 1.8758, Perplexity: 6.5259\n", + "Epoch [3/5], Step [450/3236], Loss: 1.9418, Perplexity: 6.9711\n", + "Epoch [3/5], Step [460/3236], Loss: 1.9607, Perplexity: 7.1041\n", + "Epoch [3/5], Step [470/3236], Loss: 1.8429, Perplexity: 6.3148\n", + "Epoch [3/5], Step [480/3236], Loss: 1.8608, Perplexity: 6.4286\n", + "Epoch [3/5], Step [490/3236], Loss: 1.8417, Perplexity: 6.3072\n", + "Epoch [3/5], Step [500/3236], Loss: 1.9556, Perplexity: 7.0683\n", + "Epoch [3/5], Step [510/3236], Loss: 1.9669, Perplexity: 7.1483\n", + "Epoch [3/5], Step [520/3236], Loss: 1.9457, Perplexity: 6.9984\n", + "Epoch [3/5], Step [530/3236], Loss: 1.8925, Perplexity: 6.6357\n", + "Epoch [3/5], Step [540/3236], Loss: 1.9394, Perplexity: 6.9548\n", + "Epoch [3/5], Step [550/3236], Loss: 1.9254, Perplexity: 6.8579\n", + "Epoch [3/5], Step [560/3236], Loss: 1.9562, Perplexity: 7.0726\n", + "Epoch [3/5], Step [570/3236], Loss: 1.7415, Perplexity: 5.7061\n", + "Epoch [3/5], Step [580/3236], Loss: 1.9271, Perplexity: 6.8695\n", + "Epoch [3/5], Step [590/3236], Loss: 1.8878, Perplexity: 6.6050\n", + "Epoch [3/5], Step [600/3236], Loss: 1.9227, Perplexity: 6.8397\n", + "Epoch [3/5], Step [610/3236], Loss: 1.9965, Perplexity: 7.3634\n", + "Epoch [3/5], Step [620/3236], Loss: 1.8458, Perplexity: 6.3331\n", + "Epoch [3/5], Step [630/3236], Loss: 2.0404, Perplexity: 7.6940\n", + "Epoch [3/5], Step [640/3236], Loss: 1.9579, Perplexity: 7.0841\n", + "Epoch [3/5], Step [650/3236], Loss: 1.9808, Perplexity: 7.2483\n", + "Epoch [3/5], Step [660/3236], Loss: 1.8145, Perplexity: 6.1378\n", + "Epoch [3/5], Step [670/3236], Loss: 1.8805, Perplexity: 6.5566\n", + "Epoch [3/5], Step [680/3236], Loss: 1.8709, Perplexity: 6.4939\n", + "Epoch [3/5], Step [690/3236], Loss: 1.8360, Perplexity: 6.2714\n", + "Epoch [3/5], Step [700/3236], Loss: 1.8337, Perplexity: 6.2569\n", + "Epoch [3/5], Step [710/3236], Loss: 1.8602, Perplexity: 6.4250\n", + "Epoch [3/5], Step [720/3236], Loss: 1.9233, Perplexity: 6.8436\n", + "Epoch [3/5], Step [730/3236], Loss: 1.9385, Perplexity: 6.9486\n", + "Epoch [3/5], Step [740/3236], Loss: 1.8910, Perplexity: 6.6259\n", + "Epoch [3/5], Step [750/3236], Loss: 2.0335, Perplexity: 7.6405\n", + "Epoch [3/5], Step [760/3236], Loss: 1.8435, Perplexity: 6.3183\n", + "Epoch [3/5], Step [770/3236], Loss: 1.8952, Perplexity: 6.6537\n", + "Epoch [3/5], Step [780/3236], Loss: 1.9013, Perplexity: 6.6945\n", + "Epoch [3/5], Step [790/3236], Loss: 1.9066, Perplexity: 6.7299\n", + "Epoch [3/5], Step [800/3236], Loss: 1.8806, Perplexity: 6.5577\n", + "Epoch [3/5], Step [810/3236], Loss: 1.9831, Perplexity: 7.2653\n", + "Epoch [3/5], Step [820/3236], Loss: 1.8105, Perplexity: 6.1134\n", + "Epoch [3/5], Step [830/3236], Loss: 1.9315, Perplexity: 6.9002\n", + "Epoch [3/5], Step [840/3236], Loss: 1.8316, Perplexity: 6.2441\n", + "Epoch [3/5], Step [850/3236], Loss: 1.9523, Perplexity: 7.0449\n", + "Epoch [3/5], Step [860/3236], Loss: 2.0053, Perplexity: 7.4281\n", + "Epoch [3/5], Step [870/3236], Loss: 1.8698, Perplexity: 6.4871\n", + "Epoch [3/5], Step [880/3236], Loss: 1.8483, Perplexity: 6.3489\n", + "Epoch [3/5], Step [890/3236], Loss: 1.9224, Perplexity: 6.8373\n", + "Epoch [3/5], Step [900/3236], Loss: 1.9221, Perplexity: 6.8354\n", + "Epoch [3/5], Step [910/3236], Loss: 1.9593, Perplexity: 7.0944\n", + "Epoch [3/5], Step [920/3236], Loss: 1.9456, Perplexity: 6.9976\n", + "Epoch [3/5], Step [930/3236], Loss: 1.8748, Perplexity: 6.5197\n", + "Epoch [3/5], Step [940/3236], Loss: 1.9004, Perplexity: 6.6885\n", + "Epoch [3/5], Step [950/3236], Loss: 1.8628, Perplexity: 6.4418\n", + "Epoch [3/5], Step [960/3236], Loss: 1.8495, Perplexity: 6.3567\n", + "Epoch [3/5], Step [970/3236], Loss: 1.8983, Perplexity: 6.6742\n", + "Epoch [3/5], Step [980/3236], Loss: 1.9347, Perplexity: 6.9219\n", + "Epoch [3/5], Step [990/3236], Loss: 1.9203, Perplexity: 6.8229\n", + "Epoch [3/5], Step [1000/3236], Loss: 1.9769, Perplexity: 7.2205\n", + "Epoch [3/5], Step [1010/3236], Loss: 1.9788, Perplexity: 7.2343\n", + "Epoch [3/5], Step [1020/3236], Loss: 1.8434, Perplexity: 6.3177\n", + "Epoch [3/5], Step [1030/3236], Loss: 1.7551, Perplexity: 5.7842\n", + "Epoch [3/5], Step [1040/3236], Loss: 2.0511, Perplexity: 7.7764\n", + "Epoch [3/5], Step [1050/3236], Loss: 1.9637, Perplexity: 7.1254\n", + "Epoch [3/5], Step [1060/3236], Loss: 1.9510, Perplexity: 7.0354\n", + "Epoch [3/5], Step [1070/3236], Loss: 1.8005, Perplexity: 6.0526\n", + "Epoch [3/5], Step [1080/3236], Loss: 1.8818, Perplexity: 6.5653\n", + "Epoch [3/5], Step [1090/3236], Loss: 1.9651, Perplexity: 7.1355\n", + "Epoch [3/5], Step [1100/3236], Loss: 1.9224, Perplexity: 6.8371\n", + "Epoch [3/5], Step [1110/3236], Loss: 2.0271, Perplexity: 7.5918\n", + "Epoch [3/5], Step [1120/3236], Loss: 1.9263, Perplexity: 6.8642\n", + "Epoch [3/5], Step [1130/3236], Loss: 1.8908, Perplexity: 6.6244\n", + "Epoch [3/5], Step [1140/3236], Loss: 1.8575, Perplexity: 6.4078\n", + "Epoch [3/5], Step [1150/3236], Loss: 1.9003, Perplexity: 6.6876\n", + "Epoch [3/5], Step [1160/3236], Loss: 1.9837, Perplexity: 7.2697\n", + "Epoch [3/5], Step [1170/3236], Loss: 1.8623, Perplexity: 6.4385\n", + "Epoch [3/5], Step [1180/3236], Loss: 1.8929, Perplexity: 6.6384\n", + "Epoch [3/5], Step [1190/3236], Loss: 1.8761, Perplexity: 6.5280\n", + "Epoch [3/5], Step [1200/3236], Loss: 1.8622, Perplexity: 6.4382\n", + "Epoch [3/5], Step [1210/3236], Loss: 1.9303, Perplexity: 6.8914\n", + "Epoch [3/5], Step [1220/3236], Loss: 1.9499, Perplexity: 7.0282\n", + "Epoch [3/5], Step [1230/3236], Loss: 1.9222, Perplexity: 6.8356\n", + "Epoch [3/5], Step [1240/3236], Loss: 1.9933, Perplexity: 7.3399\n", + "Epoch [3/5], Step [1250/3236], Loss: 2.0186, Perplexity: 7.5274\n", + "Epoch [3/5], Step [1260/3236], Loss: 1.9185, Perplexity: 6.8107\n", + "Epoch [3/5], Step [1270/3236], Loss: 1.9036, Perplexity: 6.7101\n", + "Epoch [3/5], Step [1280/3236], Loss: 2.0375, Perplexity: 7.6711\n", + "Epoch [3/5], Step [1290/3236], Loss: 1.9485, Perplexity: 7.0181\n", + "Epoch [3/5], Step [1300/3236], Loss: 1.9870, Perplexity: 7.2933\n", + "Epoch [3/5], Step [1310/3236], Loss: 1.9901, Perplexity: 7.3161\n", + "Epoch [3/5], Step [1320/3236], Loss: 1.8722, Perplexity: 6.5025\n", + "Epoch [3/5], Step [1330/3236], Loss: 1.7831, Perplexity: 5.9483\n", + "Epoch [3/5], Step [1340/3236], Loss: 1.8471, Perplexity: 6.3413\n", + "Epoch [3/5], Step [1350/3236], Loss: 1.9062, Perplexity: 6.7275\n", + "Epoch [3/5], Step [1360/3236], Loss: 1.8731, Perplexity: 6.5088\n", + "Epoch [3/5], Step [1370/3236], Loss: 1.9753, Perplexity: 7.2091\n", + "Epoch [3/5], Step [1380/3236], Loss: 1.9169, Perplexity: 6.7996\n", + "Epoch [3/5], Step [1390/3236], Loss: 1.8801, Perplexity: 6.5544\n", + "Epoch [3/5], Step [1400/3236], Loss: 1.7486, Perplexity: 5.7467\n", + "Epoch [3/5], Step [1410/3236], Loss: 1.9303, Perplexity: 6.8915\n", + "Epoch [3/5], Step [1420/3236], Loss: 1.8922, Perplexity: 6.6338\n", + "Epoch [3/5], Step [1430/3236], Loss: 1.8596, Perplexity: 6.4212\n", + "Epoch [3/5], Step [1440/3236], Loss: 1.8864, Perplexity: 6.5956\n", + "Epoch [3/5], Step [1450/3236], Loss: 2.0079, Perplexity: 7.4473\n", + "Epoch [3/5], Step [1460/3236], Loss: 1.9116, Perplexity: 6.7642\n", + "Epoch [3/5], Step [1470/3236], Loss: 1.9031, Perplexity: 6.7067\n", + "Epoch [3/5], Step [1480/3236], Loss: 1.8415, Perplexity: 6.3061\n", + "Epoch [3/5], Step [1490/3236], Loss: 1.9142, Perplexity: 6.7817\n", + "Epoch [3/5], Step [1500/3236], Loss: 1.8892, Perplexity: 6.6139\n", + "Epoch [3/5], Step [1510/3236], Loss: 1.9586, Perplexity: 7.0897\n", + "Epoch [3/5], Step [1520/3236], Loss: 1.9391, Perplexity: 6.9523\n", + "Epoch [3/5], Step [1530/3236], Loss: 1.9359, Perplexity: 6.9306\n", + "Epoch [3/5], Step [1540/3236], Loss: 1.9371, Perplexity: 6.9384\n", + "Epoch [3/5], Step [1550/3236], Loss: 2.0140, Perplexity: 7.4935\n", + "Epoch [3/5], Step [1560/3236], Loss: 2.0524, Perplexity: 7.7867\n", + "Epoch [3/5], Step [1570/3236], Loss: 1.8964, Perplexity: 6.6618\n", + "Epoch [3/5], Step [1580/3236], Loss: 1.9066, Perplexity: 6.7299\n", + "Epoch [3/5], Step [1590/3236], Loss: 1.8621, Perplexity: 6.4375\n", + "Epoch [3/5], Step [1600/3236], Loss: 1.9259, Perplexity: 6.8611\n", + "Epoch [3/5], Step [1610/3236], Loss: 1.9443, Perplexity: 6.9885\n", + "Epoch [3/5], Step [1620/3236], Loss: 1.9503, Perplexity: 7.0308\n", + "Epoch [3/5], Step [1630/3236], Loss: 1.9383, Perplexity: 6.9467\n", + "Epoch [3/5], Step [1640/3236], Loss: 2.0329, Perplexity: 7.6360\n", + "Epoch [3/5], Step [1650/3236], Loss: 1.8653, Perplexity: 6.4576\n", + "Epoch [3/5], Step [1660/3236], Loss: 1.9319, Perplexity: 6.9024\n", + "Epoch [3/5], Step [1670/3236], Loss: 1.9411, Perplexity: 6.9665\n", + "Epoch [3/5], Step [1680/3236], Loss: 1.8800, Perplexity: 6.5533\n", + "Epoch [3/5], Step [1690/3236], Loss: 2.1028, Perplexity: 8.1891\n", + "Epoch [3/5], Step [1700/3236], Loss: 1.9982, Perplexity: 7.3759\n", + "Epoch [3/5], Step [1710/3236], Loss: 1.9474, Perplexity: 7.0104\n", + "Epoch [3/5], Step [1720/3236], Loss: 1.9619, Perplexity: 7.1125\n", + "Epoch [3/5], Step [1730/3236], Loss: 1.8886, Perplexity: 6.6102\n", + "Epoch [3/5], Step [1740/3236], Loss: 1.8727, Perplexity: 6.5060\n", + "Epoch [3/5], Step [1750/3236], Loss: 1.9096, Perplexity: 6.7502\n", + "Epoch [3/5], Step [1760/3236], Loss: 1.9636, Perplexity: 7.1253\n", + "Epoch [3/5], Step [1770/3236], Loss: 1.8922, Perplexity: 6.6337\n", + "Epoch [3/5], Step [1780/3236], Loss: 1.8357, Perplexity: 6.2695\n", + "Epoch [3/5], Step [1790/3236], Loss: 1.9054, Perplexity: 6.7224\n", + "Epoch [3/5], Step [1800/3236], Loss: 1.9582, Perplexity: 7.0869\n", + "Epoch [3/5], Step [1810/3236], Loss: 1.8043, Perplexity: 6.0755\n", + "Epoch [3/5], Step [1820/3236], Loss: 1.9164, Perplexity: 6.7962\n", + "Epoch [3/5], Step [1830/3236], Loss: 1.9163, Perplexity: 6.7955\n", + "Epoch [3/5], Step [1840/3236], Loss: 1.9604, Perplexity: 7.1019\n", + "Epoch [3/5], Step [1850/3236], Loss: 2.0224, Perplexity: 7.5565\n", + "Epoch [3/5], Step [1860/3236], Loss: 1.9042, Perplexity: 6.7144\n", + "Epoch [3/5], Step [1870/3236], Loss: 1.9474, Perplexity: 7.0104\n", + "Epoch [3/5], Step [1880/3236], Loss: 1.9627, Perplexity: 7.1185\n", + "Epoch [3/5], Step [1890/3236], Loss: 1.9436, Perplexity: 6.9840\n", + "Epoch [3/5], Step [1900/3236], Loss: 1.9071, Perplexity: 6.7334\n", + "Epoch [3/5], Step [1910/3236], Loss: 1.8806, Perplexity: 6.5575\n", + "Epoch [3/5], Step [1920/3236], Loss: 1.8782, Perplexity: 6.5419\n", + "Epoch [3/5], Step [1930/3236], Loss: 1.7952, Perplexity: 6.0210\n", + "Epoch [3/5], Step [1940/3236], Loss: 1.9863, Perplexity: 7.2882\n", + "Epoch [3/5], Step [1950/3236], Loss: 1.9683, Perplexity: 7.1585\n", + "Epoch [3/5], Step [1960/3236], Loss: 1.9426, Perplexity: 6.9769\n", + "Epoch [3/5], Step [1970/3236], Loss: 1.9999, Perplexity: 7.3881\n", + "Epoch [3/5], Step [1980/3236], Loss: 1.8822, Perplexity: 6.5676\n", + "Epoch [3/5], Step [1990/3236], Loss: 1.8867, Perplexity: 6.5973\n", + "Epoch [3/5], Step [2000/3236], Loss: 2.0057, Perplexity: 7.4315\n", + "Epoch [3/5], Step [2010/3236], Loss: 2.0178, Perplexity: 7.5219\n", + "Epoch [3/5], Step [2020/3236], Loss: 1.8934, Perplexity: 6.6422\n", + "Epoch [3/5], Step [2030/3236], Loss: 1.9616, Perplexity: 7.1106\n", + "Epoch [3/5], Step [2040/3236], Loss: 1.9559, Perplexity: 7.0704\n", + "Epoch [3/5], Step [2050/3236], Loss: 1.8401, Perplexity: 6.2974\n", + "Epoch [3/5], Step [2060/3236], Loss: 1.9170, Perplexity: 6.8007\n", + "Epoch [3/5], Step [2070/3236], Loss: 1.9688, Perplexity: 7.1619\n", + "Epoch [3/5], Step [2080/3236], Loss: 1.9841, Perplexity: 7.2723\n", + "Epoch [3/5], Step [2090/3236], Loss: 1.9286, Perplexity: 6.8798\n", + "Epoch [3/5], Step [2100/3236], Loss: 1.9343, Perplexity: 6.9189\n", + "Epoch [3/5], Step [2110/3236], Loss: 2.0387, Perplexity: 7.6805\n", + "Epoch [3/5], Step [2120/3236], Loss: 1.9355, Perplexity: 6.9275\n", + "Epoch [3/5], Step [2130/3236], Loss: 2.0252, Perplexity: 7.5774\n", + "Epoch [3/5], Step [2140/3236], Loss: 1.9935, Perplexity: 7.3414\n", + "Epoch [3/5], Step [2150/3236], Loss: 1.8023, Perplexity: 6.0634\n", + "Epoch [3/5], Step [2160/3236], Loss: 1.9032, Perplexity: 6.7071\n", + "Epoch [3/5], Step [2170/3236], Loss: 1.9821, Perplexity: 7.2577\n", + "Epoch [3/5], Step [2180/3236], Loss: 1.9106, Perplexity: 6.7572\n", + "Epoch [3/5], Step [2190/3236], Loss: 1.9110, Perplexity: 6.7599\n", + "Epoch [3/5], Step [2200/3236], Loss: 1.9806, Perplexity: 7.2472\n", + "Epoch [3/5], Step [2210/3236], Loss: 1.9513, Perplexity: 7.0381\n", + "Epoch [3/5], Step [2220/3236], Loss: 1.9755, Perplexity: 7.2101\n", + "Epoch [3/5], Step [2230/3236], Loss: 1.9206, Perplexity: 6.8248\n", + "Epoch [3/5], Step [2240/3236], Loss: 2.0344, Perplexity: 7.6476\n", + "Epoch [3/5], Step [2250/3236], Loss: 2.0091, Perplexity: 7.4567\n", + "Epoch [3/5], Step [2260/3236], Loss: 1.9424, Perplexity: 6.9755\n", + "Epoch [3/5], Step [2270/3236], Loss: 1.9566, Perplexity: 7.0750\n", + "Epoch [3/5], Step [2280/3236], Loss: 1.9133, Perplexity: 6.7755\n", + "Epoch [3/5], Step [2290/3236], Loss: 1.8256, Perplexity: 6.2064\n", + "Epoch [3/5], Step [2300/3236], Loss: 1.9427, Perplexity: 6.9778\n", + "Epoch [3/5], Step [2310/3236], Loss: 1.9587, Perplexity: 7.0898\n", + "Epoch [3/5], Step [2320/3236], Loss: 1.9225, Perplexity: 6.8381\n", + "Epoch [3/5], Step [2330/3236], Loss: 1.8973, Perplexity: 6.6678\n", + "Epoch [3/5], Step [2340/3236], Loss: 1.8737, Perplexity: 6.5126\n", + "Epoch [3/5], Step [2350/3236], Loss: 1.9815, Perplexity: 7.2533\n", + "Epoch [3/5], Step [2360/3236], Loss: 1.9586, Perplexity: 7.0891\n", + "Epoch [3/5], Step [2370/3236], Loss: 1.9300, Perplexity: 6.8898\n", + "Epoch [3/5], Step [2380/3236], Loss: 1.9465, Perplexity: 7.0038\n", + "Epoch [3/5], Step [2390/3236], Loss: 2.0198, Perplexity: 7.5371\n", + "Epoch [3/5], Step [2400/3236], Loss: 1.9231, Perplexity: 6.8420\n", + "Epoch [3/5], Step [2410/3236], Loss: 1.8782, Perplexity: 6.5417\n", + "Epoch [3/5], Step [2420/3236], Loss: 1.9473, Perplexity: 7.0098\n", + "Epoch [3/5], Step [2430/3236], Loss: 1.9325, Perplexity: 6.9065\n", + "Epoch [3/5], Step [2440/3236], Loss: 1.8857, Perplexity: 6.5908\n", + "Epoch [3/5], Step [2450/3236], Loss: 1.8804, Perplexity: 6.5562\n", + "Epoch [3/5], Step [2460/3236], Loss: 1.9191, Perplexity: 6.8150\n", + "Epoch [3/5], Step [2470/3236], Loss: 2.0293, Perplexity: 7.6091\n", + "Epoch [3/5], Step [2480/3236], Loss: 1.8590, Perplexity: 6.4174\n", + "Epoch [3/5], Step [2490/3236], Loss: 1.8700, Perplexity: 6.4882\n", + "Epoch [3/5], Step [2500/3236], Loss: 1.9033, Perplexity: 6.7079\n", + "Epoch [3/5], Step [2510/3236], Loss: 1.8865, Perplexity: 6.5960\n", + "Epoch [3/5], Step [2520/3236], Loss: 1.9876, Perplexity: 7.2981\n", + "Epoch [3/5], Step [2530/3236], Loss: 1.9544, Perplexity: 7.0597\n", + "Epoch [3/5], Step [2540/3236], Loss: 1.8928, Perplexity: 6.6378\n", + "Epoch [3/5], Step [2550/3236], Loss: 1.9164, Perplexity: 6.7963\n", + "Epoch [3/5], Step [2560/3236], Loss: 2.0126, Perplexity: 7.4826\n", + "Epoch [3/5], Step [2570/3236], Loss: 1.8513, Perplexity: 6.3684\n", + "Epoch [3/5], Step [2580/3236], Loss: 1.9000, Perplexity: 6.6862\n", + "Epoch [3/5], Step [2590/3236], Loss: 1.9330, Perplexity: 6.9102\n", + "Epoch [3/5], Step [2600/3236], Loss: 1.8869, Perplexity: 6.5991\n", + "Epoch [3/5], Step [2610/3236], Loss: 1.8616, Perplexity: 6.4341\n", + "Epoch [3/5], Step [2620/3236], Loss: 2.0487, Perplexity: 7.7580\n", + "Epoch [3/5], Step [2630/3236], Loss: 2.0555, Perplexity: 7.8110\n", + "Epoch [3/5], Step [2640/3236], Loss: 1.9347, Perplexity: 6.9217\n", + "Epoch [3/5], Step [2650/3236], Loss: 1.7785, Perplexity: 5.9207\n", + "Epoch [3/5], Step [2660/3236], Loss: 2.0233, Perplexity: 7.5636\n", + "Epoch [3/5], Step [2670/3236], Loss: 1.9345, Perplexity: 6.9204\n", + "Epoch [3/5], Step [2680/3236], Loss: 1.9114, Perplexity: 6.7626\n", + "Epoch [3/5], Step [2690/3236], Loss: 1.9498, Perplexity: 7.0271\n", + "Epoch [3/5], Step [2700/3236], Loss: 1.9424, Perplexity: 6.9757\n", + "Epoch [3/5], Step [2710/3236], Loss: 1.9601, Perplexity: 7.1002\n", + "Epoch [3/5], Step [2720/3236], Loss: 1.9400, Perplexity: 6.9591\n", + "Epoch [3/5], Step [2730/3236], Loss: 1.9128, Perplexity: 6.7721\n", + "Epoch [3/5], Step [2740/3236], Loss: 1.9187, Perplexity: 6.8120\n", + "Epoch [3/5], Step [2750/3236], Loss: 1.9348, Perplexity: 6.9225\n", + "Epoch [3/5], Step [2760/3236], Loss: 1.9910, Perplexity: 7.3226\n", + "Epoch [3/5], Step [2770/3236], Loss: 1.8957, Perplexity: 6.6571\n", + "Epoch [3/5], Step [2780/3236], Loss: 1.9013, Perplexity: 6.6949\n", + "Epoch [3/5], Step [2790/3236], Loss: 2.0219, Perplexity: 7.5526\n", + "Epoch [3/5], Step [2800/3236], Loss: 1.8855, Perplexity: 6.5896\n", + "Epoch [3/5], Step [2810/3236], Loss: 1.7993, Perplexity: 6.0452\n", + "Epoch [3/5], Step [2820/3236], Loss: 1.9527, Perplexity: 7.0478\n", + "Epoch [3/5], Step [2830/3236], Loss: 2.0116, Perplexity: 7.4750\n", + "Epoch [3/5], Step [2840/3236], Loss: 1.9561, Perplexity: 7.0720\n", + "Epoch [3/5], Step [2850/3236], Loss: 1.9018, Perplexity: 6.6978\n", + "Epoch [3/5], Step [2860/3236], Loss: 1.8732, Perplexity: 6.5091\n", + "Epoch [3/5], Step [2870/3236], Loss: 1.9627, Perplexity: 7.1188\n", + "Epoch [3/5], Step [2880/3236], Loss: 1.8434, Perplexity: 6.3180\n", + "Epoch [3/5], Step [2890/3236], Loss: 2.0486, Perplexity: 7.7573\n", + "Epoch [3/5], Step [2900/3236], Loss: 1.9755, Perplexity: 7.2099\n", + "Epoch [3/5], Step [2910/3236], Loss: 1.9028, Perplexity: 6.7045\n", + "Epoch [3/5], Step [2920/3236], Loss: 1.9612, Perplexity: 7.1079\n", + "Epoch [3/5], Step [2930/3236], Loss: 1.8777, Perplexity: 6.5382\n", + "Epoch [3/5], Step [2940/3236], Loss: 1.8685, Perplexity: 6.4785\n", + "Epoch [3/5], Step [2950/3236], Loss: 1.7721, Perplexity: 5.8834\n", + "Epoch [3/5], Step [2960/3236], Loss: 1.9097, Perplexity: 6.7510\n", + "Epoch [3/5], Step [2970/3236], Loss: 1.9952, Perplexity: 7.3535\n", + "Epoch [3/5], Step [2980/3236], Loss: 2.0681, Perplexity: 7.9097\n", + "Epoch [3/5], Step [2990/3236], Loss: 2.0176, Perplexity: 7.5203\n", + "Epoch [3/5], Step [3000/3236], Loss: 1.9070, Perplexity: 6.7329\n", + "Epoch [3/5], Step [3010/3236], Loss: 1.9911, Perplexity: 7.3238\n", + "Epoch [3/5], Step [3020/3236], Loss: 1.9292, Perplexity: 6.8839\n", + "Epoch [3/5], Step [3030/3236], Loss: 1.8473, Perplexity: 6.3428\n", + "Epoch [3/5], Step [3040/3236], Loss: 1.8977, Perplexity: 6.6703\n", + "Epoch [3/5], Step [3050/3236], Loss: 1.9568, Perplexity: 7.0764\n", + "Epoch [3/5], Step [3060/3236], Loss: 1.9309, Perplexity: 6.8960\n", + "Epoch [3/5], Step [3070/3236], Loss: 1.9028, Perplexity: 6.7046\n", + "Epoch [3/5], Step [3080/3236], Loss: 1.8308, Perplexity: 6.2390\n", + "Epoch [3/5], Step [3090/3236], Loss: 1.9297, Perplexity: 6.8875\n", + "Epoch [3/5], Step [3100/3236], Loss: 1.9081, Perplexity: 6.7401\n", + "Epoch [3/5], Step [3110/3236], Loss: 1.9263, Perplexity: 6.8644\n", + "Epoch [3/5], Step [3120/3236], Loss: 1.9740, Perplexity: 7.1995\n", + "Epoch [3/5], Step [3130/3236], Loss: 1.8646, Perplexity: 6.4531\n", + "Epoch [3/5], Step [3140/3236], Loss: 1.9293, Perplexity: 6.8850\n", + "Epoch [3/5], Step [3150/3236], Loss: 1.8168, Perplexity: 6.1521\n", + "Epoch [3/5], Step [3160/3236], Loss: 1.9123, Perplexity: 6.7685\n", + "Epoch [3/5], Step [3170/3236], Loss: 1.9376, Perplexity: 6.9419\n", + "Epoch [3/5], Step [3180/3236], Loss: 1.9402, Perplexity: 6.9604\n", + "Epoch [3/5], Step [3190/3236], Loss: 1.8529, Perplexity: 6.3785\n", + "Epoch [3/5], Step [3200/3236], Loss: 1.9367, Perplexity: 6.9361\n", + "Epoch [3/5], Step [3210/3236], Loss: 1.8907, Perplexity: 6.6239\n", + "Epoch [3/5], Step [3220/3236], Loss: 1.8097, Perplexity: 6.1083\n", + "Epoch [3/5], Step [3230/3236], Loss: 2.0097, Perplexity: 7.4613\n", + "Epoch [4/5], Step [0/3236], Loss: 1.8131, Perplexity: 6.1295\n", + "Epoch [4/5], Step [10/3236], Loss: 1.8380, Perplexity: 6.2842\n", + "Epoch [4/5], Step [20/3236], Loss: 1.6831, Perplexity: 5.3820\n", + "Epoch [4/5], Step [30/3236], Loss: 1.8259, Perplexity: 6.2087\n", + "Epoch [4/5], Step [40/3236], Loss: 1.8261, Perplexity: 6.2096\n", + "Epoch [4/5], Step [50/3236], Loss: 1.8887, Perplexity: 6.6106\n", + "Epoch [4/5], Step [60/3236], Loss: 1.8934, Perplexity: 6.6422\n", + "Epoch [4/5], Step [70/3236], Loss: 1.7757, Perplexity: 5.9044\n", + "Epoch [4/5], Step [80/3236], Loss: 1.7535, Perplexity: 5.7750\n", + "Epoch [4/5], Step [90/3236], Loss: 1.7927, Perplexity: 6.0056\n", + "Epoch [4/5], Step [100/3236], Loss: 1.8218, Perplexity: 6.1832\n", + "Epoch [4/5], Step [110/3236], Loss: 1.9113, Perplexity: 6.7619\n", + "Epoch [4/5], Step [120/3236], Loss: 1.7447, Perplexity: 5.7242\n", + "Epoch [4/5], Step [130/3236], Loss: 1.8872, Perplexity: 6.6006\n", + "Epoch [4/5], Step [140/3236], Loss: 1.7633, Perplexity: 5.8316\n", + "Epoch [4/5], Step [150/3236], Loss: 1.7745, Perplexity: 5.8972\n", + "Epoch [4/5], Step [160/3236], Loss: 1.7476, Perplexity: 5.7409\n", + "Epoch [4/5], Step [170/3236], Loss: 1.8576, Perplexity: 6.4085\n", + "Epoch [4/5], Step [180/3236], Loss: 1.9082, Perplexity: 6.7410\n", + "Epoch [4/5], Step [190/3236], Loss: 1.8691, Perplexity: 6.4826\n", + "Epoch [4/5], Step [200/3236], Loss: 1.8568, Perplexity: 6.4030\n", + "Epoch [4/5], Step [210/3236], Loss: 1.8318, Perplexity: 6.2452\n", + "Epoch [4/5], Step [220/3236], Loss: 1.8126, Perplexity: 6.1264\n", + "Epoch [4/5], Step [230/3236], Loss: 1.8445, Perplexity: 6.3246\n", + "Epoch [4/5], Step [240/3236], Loss: 1.7375, Perplexity: 5.6830\n", + "Epoch [4/5], Step [250/3236], Loss: 1.8267, Perplexity: 6.2132\n", + "Epoch [4/5], Step [260/3236], Loss: 1.8130, Perplexity: 6.1287\n", + "Epoch [4/5], Step [270/3236], Loss: 1.7689, Perplexity: 5.8647\n", + "Epoch [4/5], Step [280/3236], Loss: 1.8302, Perplexity: 6.2351\n", + "Epoch [4/5], Step [290/3236], Loss: 1.9077, Perplexity: 6.7373\n", + "Epoch [4/5], Step [300/3236], Loss: 1.8583, Perplexity: 6.4130\n", + "Epoch [4/5], Step [310/3236], Loss: 1.8084, Perplexity: 6.1009\n", + "Epoch [4/5], Step [320/3236], Loss: 1.8883, Perplexity: 6.6079\n", + "Epoch [4/5], Step [330/3236], Loss: 1.8210, Perplexity: 6.1780\n", + "Epoch [4/5], Step [340/3236], Loss: 1.7182, Perplexity: 5.5745\n", + "Epoch [4/5], Step [350/3236], Loss: 1.8048, Perplexity: 6.0788\n", + "Epoch [4/5], Step [360/3236], Loss: 1.8023, Perplexity: 6.0635\n", + "Epoch [4/5], Step [370/3236], Loss: 1.8245, Perplexity: 6.1997\n", + "Epoch [4/5], Step [380/3236], Loss: 1.8081, Perplexity: 6.0989\n", + "Epoch [4/5], Step [390/3236], Loss: 1.9771, Perplexity: 7.2214\n", + "Epoch [4/5], Step [400/3236], Loss: 1.8149, Perplexity: 6.1406\n", + "Epoch [4/5], Step [410/3236], Loss: 1.8556, Perplexity: 6.3957\n", + "Epoch [4/5], Step [420/3236], Loss: 1.8536, Perplexity: 6.3829\n", + "Epoch [4/5], Step [430/3236], Loss: 1.6971, Perplexity: 5.4583\n", + "Epoch [4/5], Step [440/3236], Loss: 1.8212, Perplexity: 6.1792\n", + "Epoch [4/5], Step [450/3236], Loss: 1.8172, Perplexity: 6.1548\n", + "Epoch [4/5], Step [460/3236], Loss: 1.8252, Perplexity: 6.2040\n", + "Epoch [4/5], Step [470/3236], Loss: 1.9314, Perplexity: 6.8992\n", + "Epoch [4/5], Step [480/3236], Loss: 1.7861, Perplexity: 5.9661\n", + "Epoch [4/5], Step [490/3236], Loss: 1.9110, Perplexity: 6.7596\n", + "Epoch [4/5], Step [500/3236], Loss: 1.7839, Perplexity: 5.9530\n", + "Epoch [4/5], Step [510/3236], Loss: 1.9032, Perplexity: 6.7071\n", + "Epoch [4/5], Step [520/3236], Loss: 1.8392, Perplexity: 6.2918\n", + "Epoch [4/5], Step [530/3236], Loss: 1.9192, Perplexity: 6.8157\n", + "Epoch [4/5], Step [540/3236], Loss: 1.8362, Perplexity: 6.2727\n", + "Epoch [4/5], Step [550/3236], Loss: 1.8036, Perplexity: 6.0716\n", + "Epoch [4/5], Step [560/3236], Loss: 1.8197, Perplexity: 6.1699\n", + "Epoch [4/5], Step [570/3236], Loss: 1.8530, Perplexity: 6.3791\n", + "Epoch [4/5], Step [580/3236], Loss: 1.8252, Perplexity: 6.2039\n", + "Epoch [4/5], Step [590/3236], Loss: 1.9055, Perplexity: 6.7227\n", + "Epoch [4/5], Step [600/3236], Loss: 1.8278, Perplexity: 6.2202\n", + "Epoch [4/5], Step [610/3236], Loss: 1.8612, Perplexity: 6.4314\n", + "Epoch [4/5], Step [620/3236], Loss: 1.8764, Perplexity: 6.5301\n", + "Epoch [4/5], Step [630/3236], Loss: 1.8342, Perplexity: 6.2599\n", + "Epoch [4/5], Step [640/3236], Loss: 1.8921, Perplexity: 6.6333\n", + "Epoch [4/5], Step [650/3236], Loss: 1.7916, Perplexity: 5.9992\n", + "Epoch [4/5], Step [660/3236], Loss: 1.8954, Perplexity: 6.6551\n", + "Epoch [4/5], Step [670/3236], Loss: 1.7331, Perplexity: 5.6583\n", + "Epoch [4/5], Step [680/3236], Loss: 1.7582, Perplexity: 5.8023\n", + "Epoch [4/5], Step [690/3236], Loss: 1.8394, Perplexity: 6.2925\n", + "Epoch [4/5], Step [700/3236], Loss: 1.7300, Perplexity: 5.6405\n", + "Epoch [4/5], Step [710/3236], Loss: 1.7825, Perplexity: 5.9444\n", + "Epoch [4/5], Step [720/3236], Loss: 1.7497, Perplexity: 5.7531\n", + "Epoch [4/5], Step [730/3236], Loss: 1.8619, Perplexity: 6.4362\n", + "Epoch [4/5], Step [740/3236], Loss: 1.8390, Perplexity: 6.2902\n", + "Epoch [4/5], Step [750/3236], Loss: 1.7850, Perplexity: 5.9594\n", + "Epoch [4/5], Step [760/3236], Loss: 1.7986, Perplexity: 6.0413\n", + "Epoch [4/5], Step [770/3236], Loss: 1.7718, Perplexity: 5.8817\n", + "Epoch [4/5], Step [780/3236], Loss: 1.9152, Perplexity: 6.7883\n", + "Epoch [4/5], Step [790/3236], Loss: 1.8679, Perplexity: 6.4748\n", + "Epoch [4/5], Step [800/3236], Loss: 1.8896, Perplexity: 6.6167\n", + "Epoch [4/5], Step [810/3236], Loss: 1.7867, Perplexity: 5.9698\n", + "Epoch [4/5], Step [820/3236], Loss: 1.8429, Perplexity: 6.3150\n", + "Epoch [4/5], Step [830/3236], Loss: 1.6624, Perplexity: 5.2721\n", + "Epoch [4/5], Step [840/3236], Loss: 1.8747, Perplexity: 6.5191\n", + "Epoch [4/5], Step [850/3236], Loss: 1.8229, Perplexity: 6.1900\n", + "Epoch [4/5], Step [860/3236], Loss: 1.7546, Perplexity: 5.7812\n", + "Epoch [4/5], Step [870/3236], Loss: 1.8447, Perplexity: 6.3262\n", + "Epoch [4/5], Step [880/3236], Loss: 1.8523, Perplexity: 6.3744\n", + "Epoch [4/5], Step [890/3236], Loss: 1.8648, Perplexity: 6.4549\n", + "Epoch [4/5], Step [900/3236], Loss: 1.8161, Perplexity: 6.1479\n", + "Epoch [4/5], Step [910/3236], Loss: 1.8264, Perplexity: 6.2116\n", + "Epoch [4/5], Step [920/3236], Loss: 1.7657, Perplexity: 5.8457\n", + "Epoch [4/5], Step [930/3236], Loss: 1.7865, Perplexity: 5.9687\n", + "Epoch [4/5], Step [940/3236], Loss: 1.8547, Perplexity: 6.3896\n", + "Epoch [4/5], Step [950/3236], Loss: 1.7958, Perplexity: 6.0244\n", + "Epoch [4/5], Step [960/3236], Loss: 1.8108, Perplexity: 6.1155\n", + "Epoch [4/5], Step [970/3236], Loss: 1.8142, Perplexity: 6.1359\n", + "Epoch [4/5], Step [980/3236], Loss: 1.8233, Perplexity: 6.1920\n", + "Epoch [4/5], Step [990/3236], Loss: 1.9265, Perplexity: 6.8655\n", + "Epoch [4/5], Step [1000/3236], Loss: 1.9366, Perplexity: 6.9350\n", + "Epoch [4/5], Step [1010/3236], Loss: 1.8795, Perplexity: 6.5502\n", + "Epoch [4/5], Step [1020/3236], Loss: 1.8032, Perplexity: 6.0689\n", + "Epoch [4/5], Step [1030/3236], Loss: 1.7672, Perplexity: 5.8545\n", + "Epoch [4/5], Step [1040/3236], Loss: 1.8560, Perplexity: 6.3983\n", + "Epoch [4/5], Step [1050/3236], Loss: 1.8373, Perplexity: 6.2796\n", + "Epoch [4/5], Step [1060/3236], Loss: 1.8371, Perplexity: 6.2784\n", + "Epoch [4/5], Step [1070/3236], Loss: 1.7739, Perplexity: 5.8941\n", + "Epoch [4/5], Step [1080/3236], Loss: 1.8292, Perplexity: 6.2288\n", + "Epoch [4/5], Step [1090/3236], Loss: 1.8302, Perplexity: 6.2353\n", + "Epoch [4/5], Step [1100/3236], Loss: 1.8039, Perplexity: 6.0732\n", + "Epoch [4/5], Step [1110/3236], Loss: 1.8985, Perplexity: 6.6760\n", + "Epoch [4/5], Step [1120/3236], Loss: 1.8799, Perplexity: 6.5531\n", + "Epoch [4/5], Step [1130/3236], Loss: 1.7414, Perplexity: 5.7051\n", + "Epoch [4/5], Step [1140/3236], Loss: 1.8726, Perplexity: 6.5050\n", + "Epoch [4/5], Step [1150/3236], Loss: 1.8510, Perplexity: 6.3661\n", + "Epoch [4/5], Step [1160/3236], Loss: 1.8080, Perplexity: 6.0983\n", + "Epoch [4/5], Step [1170/3236], Loss: 1.8104, Perplexity: 6.1130\n", + "Epoch [4/5], Step [1180/3236], Loss: 1.7887, Perplexity: 5.9816\n", + "Epoch [4/5], Step [1190/3236], Loss: 1.8384, Perplexity: 6.2866\n", + "Epoch [4/5], Step [1200/3236], Loss: 1.8966, Perplexity: 6.6634\n", + "Epoch [4/5], Step [1210/3236], Loss: 1.8978, Perplexity: 6.6711\n", + "Epoch [4/5], Step [1220/3236], Loss: 1.8305, Perplexity: 6.2369\n", + "Epoch [4/5], Step [1230/3236], Loss: 1.8687, Perplexity: 6.4798\n", + "Epoch [4/5], Step [1240/3236], Loss: 1.8030, Perplexity: 6.0677\n", + "Epoch [4/5], Step [1250/3236], Loss: 1.8664, Perplexity: 6.4650\n", + "Epoch [4/5], Step [1260/3236], Loss: 1.8378, Perplexity: 6.2826\n", + "Epoch [4/5], Step [1270/3236], Loss: 1.8066, Perplexity: 6.0896\n", + "Epoch [4/5], Step [1280/3236], Loss: 1.8955, Perplexity: 6.6561\n", + "Epoch [4/5], Step [1290/3236], Loss: 1.8240, Perplexity: 6.1968\n", + "Epoch [4/5], Step [1300/3236], Loss: 1.8499, Perplexity: 6.3593\n", + "Epoch [4/5], Step [1310/3236], Loss: 1.8170, Perplexity: 6.1533\n", + "Epoch [4/5], Step [1320/3236], Loss: 1.9062, Perplexity: 6.7272\n", + "Epoch [4/5], Step [1330/3236], Loss: 1.8635, Perplexity: 6.4465\n", + "Epoch [4/5], Step [1340/3236], Loss: 1.9459, Perplexity: 6.9997\n", + "Epoch [4/5], Step [1350/3236], Loss: 1.8817, Perplexity: 6.5647\n", + "Epoch [4/5], Step [1360/3236], Loss: 1.8117, Perplexity: 6.1208\n", + "Epoch [4/5], Step [1370/3236], Loss: 1.8589, Perplexity: 6.4168\n", + "Epoch [4/5], Step [1380/3236], Loss: 1.7294, Perplexity: 5.6373\n", + "Epoch [4/5], Step [1390/3236], Loss: 1.8472, Perplexity: 6.3420\n", + "Epoch [4/5], Step [1400/3236], Loss: 1.8664, Perplexity: 6.4649\n", + "Epoch [4/5], Step [1410/3236], Loss: 1.9153, Perplexity: 6.7889\n", + "Epoch [4/5], Step [1420/3236], Loss: 1.8049, Perplexity: 6.0794\n", + "Epoch [4/5], Step [1430/3236], Loss: 1.8383, Perplexity: 6.2856\n", + "Epoch [4/5], Step [1440/3236], Loss: 1.9553, Perplexity: 7.0657\n", + "Epoch [4/5], Step [1450/3236], Loss: 1.8490, Perplexity: 6.3535\n", + "Epoch [4/5], Step [1460/3236], Loss: 2.0126, Perplexity: 7.4824\n", + "Epoch [4/5], Step [1470/3236], Loss: 1.9731, Perplexity: 7.1928\n", + "Epoch [4/5], Step [1480/3236], Loss: 1.7924, Perplexity: 6.0039\n", + "Epoch [4/5], Step [1490/3236], Loss: 1.9414, Perplexity: 6.9688\n", + "Epoch [4/5], Step [1500/3236], Loss: 1.7836, Perplexity: 5.9510\n", + "Epoch [4/5], Step [1510/3236], Loss: 1.8379, Perplexity: 6.2835\n", + "Epoch [4/5], Step [1520/3236], Loss: 1.8525, Perplexity: 6.3758\n", + "Epoch [4/5], Step [1530/3236], Loss: 1.8524, Perplexity: 6.3754\n", + "Epoch [4/5], Step [1540/3236], Loss: 1.9605, Perplexity: 7.1029\n", + "Epoch [4/5], Step [1550/3236], Loss: 1.8747, Perplexity: 6.5190\n", + "Epoch [4/5], Step [1560/3236], Loss: 1.8491, Perplexity: 6.3543\n", + "Epoch [4/5], Step [1570/3236], Loss: 1.7985, Perplexity: 6.0408\n", + "Epoch [4/5], Step [1580/3236], Loss: 1.9449, Perplexity: 6.9932\n", + "Epoch [4/5], Step [1590/3236], Loss: 1.8149, Perplexity: 6.1405\n", + "Epoch [4/5], Step [1600/3236], Loss: 1.8995, Perplexity: 6.6824\n", + "Epoch [4/5], Step [1610/3236], Loss: 1.8255, Perplexity: 6.2061\n", + "Epoch [4/5], Step [1620/3236], Loss: 2.0318, Perplexity: 7.6276\n", + "Epoch [4/5], Step [1630/3236], Loss: 1.8861, Perplexity: 6.5937\n", + "Epoch [4/5], Step [1640/3236], Loss: 1.8023, Perplexity: 6.0639\n", + "Epoch [4/5], Step [1650/3236], Loss: 1.8465, Perplexity: 6.3378\n", + "Epoch [4/5], Step [1660/3236], Loss: 1.8377, Perplexity: 6.2822\n", + "Epoch [4/5], Step [1670/3236], Loss: 1.8652, Perplexity: 6.4574\n", + "Epoch [4/5], Step [1680/3236], Loss: 1.7910, Perplexity: 5.9954\n", + "Epoch [4/5], Step [1690/3236], Loss: 1.7398, Perplexity: 5.6960\n", + "Epoch [4/5], Step [1700/3236], Loss: 1.9299, Perplexity: 6.8887\n", + "Epoch [4/5], Step [1710/3236], Loss: 1.9848, Perplexity: 7.2774\n", + "Epoch [4/5], Step [1720/3236], Loss: 1.9390, Perplexity: 6.9518\n", + "Epoch [4/5], Step [1730/3236], Loss: 1.8690, Perplexity: 6.4820\n", + "Epoch [4/5], Step [1740/3236], Loss: 1.8014, Perplexity: 6.0582\n", + "Epoch [4/5], Step [1750/3236], Loss: 1.7894, Perplexity: 5.9859\n", + "Epoch [4/5], Step [1760/3236], Loss: 1.8403, Perplexity: 6.2983\n", + "Epoch [4/5], Step [1770/3236], Loss: 1.9071, Perplexity: 6.7337\n", + "Epoch [4/5], Step [1780/3236], Loss: 1.8526, Perplexity: 6.3763\n", + "Epoch [4/5], Step [1790/3236], Loss: 1.9166, Perplexity: 6.7981\n", + "Epoch [4/5], Step [1800/3236], Loss: 1.8652, Perplexity: 6.4574\n", + "Epoch [4/5], Step [1810/3236], Loss: 1.8264, Perplexity: 6.2112\n", + "Epoch [4/5], Step [1820/3236], Loss: 1.8418, Perplexity: 6.3082\n", + "Epoch [4/5], Step [1830/3236], Loss: 1.8625, Perplexity: 6.4397\n", + "Epoch [4/5], Step [1840/3236], Loss: 1.8908, Perplexity: 6.6249\n", + "Epoch [4/5], Step [1850/3236], Loss: 1.8203, Perplexity: 6.1740\n", + "Epoch [4/5], Step [1860/3236], Loss: 1.7790, Perplexity: 5.9241\n", + "Epoch [4/5], Step [1870/3236], Loss: 1.8694, Perplexity: 6.4846\n", + "Epoch [4/5], Step [1880/3236], Loss: 1.8766, Perplexity: 6.5314\n", + "Epoch [4/5], Step [1890/3236], Loss: 1.7914, Perplexity: 5.9981\n", + "Epoch [4/5], Step [1900/3236], Loss: 1.8312, Perplexity: 6.2417\n", + "Epoch [4/5], Step [1910/3236], Loss: 1.7954, Perplexity: 6.0217\n", + "Epoch [4/5], Step [1920/3236], Loss: 1.8601, Perplexity: 6.4242\n", + "Epoch [4/5], Step [1930/3236], Loss: 1.7957, Perplexity: 6.0237\n", + "Epoch [4/5], Step [1940/3236], Loss: 1.8716, Perplexity: 6.4988\n", + "Epoch [4/5], Step [1950/3236], Loss: 1.7554, Perplexity: 5.7858\n", + "Epoch [4/5], Step [1960/3236], Loss: 1.8340, Perplexity: 6.2587\n", + "Epoch [4/5], Step [1970/3236], Loss: 1.7853, Perplexity: 5.9614\n", + "Epoch [4/5], Step [1980/3236], Loss: 1.8381, Perplexity: 6.2845\n", + "Epoch [4/5], Step [1990/3236], Loss: 1.9050, Perplexity: 6.7194\n", + "Epoch [4/5], Step [2000/3236], Loss: 1.8476, Perplexity: 6.3443\n", + "Epoch [4/5], Step [2010/3236], Loss: 1.9039, Perplexity: 6.7123\n", + "Epoch [4/5], Step [2020/3236], Loss: 1.9282, Perplexity: 6.8773\n", + "Epoch [4/5], Step [2030/3236], Loss: 1.8100, Perplexity: 6.1106\n", + "Epoch [4/5], Step [2040/3236], Loss: 1.8897, Perplexity: 6.6174\n", + "Epoch [4/5], Step [2050/3236], Loss: 1.8021, Perplexity: 6.0626\n", + "Epoch [4/5], Step [2060/3236], Loss: 1.8194, Perplexity: 6.1683\n", + "Epoch [4/5], Step [2070/3236], Loss: 1.9132, Perplexity: 6.7748\n", + "Epoch [4/5], Step [2080/3236], Loss: 1.8885, Perplexity: 6.6094\n", + "Epoch [4/5], Step [2090/3236], Loss: 1.8538, Perplexity: 6.3838\n", + "Epoch [4/5], Step [2100/3236], Loss: 1.8498, Perplexity: 6.3589\n", + "Epoch [4/5], Step [2110/3236], Loss: 1.9277, Perplexity: 6.8734\n", + "Epoch [4/5], Step [2120/3236], Loss: 1.8378, Perplexity: 6.2825\n", + "Epoch [4/5], Step [2130/3236], Loss: 1.9525, Perplexity: 7.0464\n", + "Epoch [4/5], Step [2140/3236], Loss: 1.9720, Perplexity: 7.1853\n", + "Epoch [4/5], Step [2150/3236], Loss: 1.8878, Perplexity: 6.6050\n", + "Epoch [4/5], Step [2160/3236], Loss: 1.8972, Perplexity: 6.6675\n", + "Epoch [4/5], Step [2170/3236], Loss: 1.9503, Perplexity: 7.0309\n", + "Epoch [4/5], Step [2180/3236], Loss: 1.8713, Perplexity: 6.4967\n", + "Epoch [4/5], Step [2190/3236], Loss: 1.7704, Perplexity: 5.8732\n", + "Epoch [4/5], Step [2200/3236], Loss: 1.7906, Perplexity: 5.9929\n", + "Epoch [4/5], Step [2210/3236], Loss: 1.8208, Perplexity: 6.1771\n", + "Epoch [4/5], Step [2220/3236], Loss: 2.0396, Perplexity: 7.6876\n", + "Epoch [4/5], Step [2230/3236], Loss: 1.8910, Perplexity: 6.6261\n", + "Epoch [4/5], Step [2240/3236], Loss: 1.8347, Perplexity: 6.2631\n", + "Epoch [4/5], Step [2250/3236], Loss: 2.0573, Perplexity: 7.8245\n", + "Epoch [4/5], Step [2260/3236], Loss: 2.0344, Perplexity: 7.6473\n", + "Epoch [4/5], Step [2270/3236], Loss: 1.7473, Perplexity: 5.7390\n", + "Epoch [4/5], Step [2280/3236], Loss: 1.8695, Perplexity: 6.4847\n", + "Epoch [4/5], Step [2290/3236], Loss: 1.8468, Perplexity: 6.3396\n", + "Epoch [4/5], Step [2300/3236], Loss: 1.8759, Perplexity: 6.5270\n", + "Epoch [4/5], Step [2310/3236], Loss: 1.9301, Perplexity: 6.8899\n", + "Epoch [4/5], Step [2320/3236], Loss: 1.8646, Perplexity: 6.4536\n", + "Epoch [4/5], Step [2330/3236], Loss: 1.9610, Perplexity: 7.1066\n", + "Epoch [4/5], Step [2340/3236], Loss: 1.8605, Perplexity: 6.4271\n", + "Epoch [4/5], Step [2350/3236], Loss: 1.8360, Perplexity: 6.2712\n", + "Epoch [4/5], Step [2360/3236], Loss: 1.8716, Perplexity: 6.4985\n", + "Epoch [4/5], Step [2370/3236], Loss: 1.7826, Perplexity: 5.9453\n", + "Epoch [4/5], Step [2380/3236], Loss: 1.8232, Perplexity: 6.1917\n", + "Epoch [4/5], Step [2390/3236], Loss: 1.9820, Perplexity: 7.2575\n", + "Epoch [4/5], Step [2400/3236], Loss: 1.8174, Perplexity: 6.1558\n", + "Epoch [4/5], Step [2410/3236], Loss: 1.8484, Perplexity: 6.3498\n", + "Epoch [4/5], Step [2420/3236], Loss: 1.8489, Perplexity: 6.3527\n", + "Epoch [4/5], Step [2430/3236], Loss: 1.8128, Perplexity: 6.1274\n", + "Epoch [4/5], Step [2440/3236], Loss: 1.8446, Perplexity: 6.3256\n", + "Epoch [4/5], Step [2450/3236], Loss: 1.9204, Perplexity: 6.8239\n", + "Epoch [4/5], Step [2460/3236], Loss: 1.8140, Perplexity: 6.1352\n", + "Epoch [4/5], Step [2470/3236], Loss: 1.8133, Perplexity: 6.1304\n", + "Epoch [4/5], Step [2480/3236], Loss: 1.9383, Perplexity: 6.9469\n", + "Epoch [4/5], Step [2490/3236], Loss: 1.9090, Perplexity: 6.7463\n", + "Epoch [4/5], Step [2500/3236], Loss: 1.7789, Perplexity: 5.9232\n", + "Epoch [4/5], Step [2510/3236], Loss: 1.7708, Perplexity: 5.8756\n", + "Epoch [4/5], Step [2520/3236], Loss: 1.8291, Perplexity: 6.2286\n", + "Epoch [4/5], Step [2530/3236], Loss: 1.9154, Perplexity: 6.7893\n", + "Epoch [4/5], Step [2540/3236], Loss: 1.8262, Perplexity: 6.2104\n", + "Epoch [4/5], Step [2550/3236], Loss: 1.9353, Perplexity: 6.9262\n", + "Epoch [4/5], Step [2560/3236], Loss: 1.9194, Perplexity: 6.8167\n", + "Epoch [4/5], Step [2570/3236], Loss: 1.9122, Perplexity: 6.7679\n", + "Epoch [4/5], Step [2580/3236], Loss: 1.8615, Perplexity: 6.4331\n", + "Epoch [4/5], Step [2590/3236], Loss: 1.9609, Perplexity: 7.1054\n", + "Epoch [4/5], Step [2600/3236], Loss: 1.9089, Perplexity: 6.7455\n", + "Epoch [4/5], Step [2610/3236], Loss: 1.9818, Perplexity: 7.2559\n", + "Epoch [4/5], Step [2620/3236], Loss: 1.9552, Perplexity: 7.0651\n", + "Epoch [4/5], Step [2630/3236], Loss: 1.8567, Perplexity: 6.4023\n", + "Epoch [4/5], Step [2640/3236], Loss: 1.8797, Perplexity: 6.5513\n", + "Epoch [4/5], Step [2650/3236], Loss: 1.8708, Perplexity: 6.4935\n", + "Epoch [4/5], Step [2660/3236], Loss: 1.8630, Perplexity: 6.4430\n", + "Epoch [4/5], Step [2670/3236], Loss: 1.9532, Perplexity: 7.0515\n", + "Epoch [4/5], Step [2680/3236], Loss: 1.9405, Perplexity: 6.9622\n", + "Epoch [4/5], Step [2690/3236], Loss: 1.9295, Perplexity: 6.8858\n", + "Epoch [4/5], Step [2700/3236], Loss: 1.8872, Perplexity: 6.6010\n", + "Epoch [4/5], Step [2710/3236], Loss: 1.9180, Perplexity: 6.8073\n", + "Epoch [4/5], Step [2720/3236], Loss: 1.9845, Perplexity: 7.2752\n", + "Epoch [4/5], Step [2730/3236], Loss: 1.7279, Perplexity: 5.6290\n", + "Epoch [4/5], Step [2740/3236], Loss: 1.9287, Perplexity: 6.8802\n", + "Epoch [4/5], Step [2750/3236], Loss: 1.8132, Perplexity: 6.1300\n", + "Epoch [4/5], Step [2760/3236], Loss: 1.8680, Perplexity: 6.4754\n", + "Epoch [4/5], Step [2770/3236], Loss: 1.9692, Perplexity: 7.1647\n", + "Epoch [4/5], Step [2780/3236], Loss: 1.8917, Perplexity: 6.6306\n", + "Epoch [4/5], Step [2790/3236], Loss: 1.8398, Perplexity: 6.2951\n", + "Epoch [4/5], Step [2800/3236], Loss: 1.8298, Perplexity: 6.2326\n", + "Epoch [4/5], Step [2810/3236], Loss: 1.9757, Perplexity: 7.2119\n", + "Epoch [4/5], Step [2820/3236], Loss: 1.8657, Perplexity: 6.4602\n", + "Epoch [4/5], Step [2830/3236], Loss: 1.9429, Perplexity: 6.9787\n", + "Epoch [4/5], Step [2840/3236], Loss: 1.9598, Perplexity: 7.0982\n", + "Epoch [4/5], Step [2850/3236], Loss: 1.8509, Perplexity: 6.3655\n", + "Epoch [4/5], Step [2860/3236], Loss: 1.7521, Perplexity: 5.7668\n", + "Epoch [4/5], Step [2870/3236], Loss: 1.9219, Perplexity: 6.8339\n", + "Epoch [4/5], Step [2880/3236], Loss: 1.9076, Perplexity: 6.7368\n", + "Epoch [4/5], Step [2890/3236], Loss: 1.8719, Perplexity: 6.5009\n", + "Epoch [4/5], Step [2900/3236], Loss: 1.7707, Perplexity: 5.8752\n", + "Epoch [4/5], Step [2910/3236], Loss: 1.8104, Perplexity: 6.1127\n", + "Epoch [4/5], Step [2920/3236], Loss: 1.9061, Perplexity: 6.7269\n", + "Epoch [4/5], Step [2930/3236], Loss: 1.8084, Perplexity: 6.1008\n", + "Epoch [4/5], Step [2940/3236], Loss: 1.7617, Perplexity: 5.8223\n", + "Epoch [4/5], Step [2950/3236], Loss: 2.0298, Perplexity: 7.6126\n", + "Epoch [4/5], Step [2960/3236], Loss: 1.9231, Perplexity: 6.8418\n", + "Epoch [4/5], Step [2970/3236], Loss: 1.7989, Perplexity: 6.0428\n", + "Epoch [4/5], Step [2980/3236], Loss: 1.7471, Perplexity: 5.7382\n", + "Epoch [4/5], Step [2990/3236], Loss: 1.8505, Perplexity: 6.3632\n", + "Epoch [4/5], Step [3000/3236], Loss: 1.7997, Perplexity: 6.0476\n", + "Epoch [4/5], Step [3010/3236], Loss: 1.8635, Perplexity: 6.4462\n", + "Epoch [4/5], Step [3020/3236], Loss: 1.7890, Perplexity: 5.9833\n", + "Epoch [4/5], Step [3030/3236], Loss: 1.7870, Perplexity: 5.9713\n", + "Epoch [4/5], Step [3040/3236], Loss: 1.8338, Perplexity: 6.2579\n", + "Epoch [4/5], Step [3050/3236], Loss: 1.9026, Perplexity: 6.7036\n", + "Epoch [4/5], Step [3060/3236], Loss: 1.9286, Perplexity: 6.8802\n", + "Epoch [4/5], Step [3070/3236], Loss: 1.9033, Perplexity: 6.7077\n", + "Epoch [4/5], Step [3080/3236], Loss: 1.8135, Perplexity: 6.1319\n", + "Epoch [4/5], Step [3090/3236], Loss: 1.8796, Perplexity: 6.5506\n", + "Epoch [4/5], Step [3100/3236], Loss: 1.7745, Perplexity: 5.8970\n", + "Epoch [4/5], Step [3110/3236], Loss: 1.9623, Perplexity: 7.1154\n", + "Epoch [4/5], Step [3120/3236], Loss: 1.9398, Perplexity: 6.9572\n", + "Epoch [4/5], Step [3130/3236], Loss: 2.0114, Perplexity: 7.4741\n", + "Epoch [4/5], Step [3140/3236], Loss: 1.9055, Perplexity: 6.7227\n", + "Epoch [4/5], Step [3150/3236], Loss: 1.9829, Perplexity: 7.2636\n", + "Epoch [4/5], Step [3160/3236], Loss: 1.8793, Perplexity: 6.5491\n", + "Epoch [4/5], Step [3170/3236], Loss: 1.8684, Perplexity: 6.4780\n", + "Epoch [4/5], Step [3180/3236], Loss: 1.8593, Perplexity: 6.4192\n", + "Epoch [4/5], Step [3190/3236], Loss: 1.7705, Perplexity: 5.8738\n", + "Epoch [4/5], Step [3200/3236], Loss: 1.9249, Perplexity: 6.8544\n", + "Epoch [4/5], Step [3210/3236], Loss: 1.9275, Perplexity: 6.8724\n", + "Epoch [4/5], Step [3220/3236], Loss: 1.8530, Perplexity: 6.3789\n", + "Epoch [4/5], Step [3230/3236], Loss: 1.9295, Perplexity: 6.8863\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Testing the caption prediction on sample images" + ], + "metadata": { + "id": "6HhpPqj_BjGm" + }, + "id": "6HhpPqj_BjGm" + }, + { + "cell_type": "code", + "source": [ + "image_file_path = 'sample.jpg'\n", + "\n", + "\n", + "# Device configuration\n", + "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", + "\n", + "\n", + "def load_image(image_file_path, transform=None):\n", + " img = Image.open(image_file_path).convert('RGB')\n", + " img = img.resize([224, 224], Image.LANCZOS)\n", + "\n", + " if transform is not None:\n", + " img = transform(img).unsqueeze(0)\n", + "\n", + " return img\n", + "\n", + "\n", + "# Image preprocessing\n", + "transform = transforms.Compose([\n", + " transforms.ToTensor(),\n", + " transforms.Normalize((0.485, 0.456, 0.406),\n", + " (0.229, 0.224, 0.225))])" + ], + "metadata": { + "id": "5Qy_0eTcBqhT" + }, + "id": "5Qy_0eTcBqhT", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Load vocabulary wrapper\n", + "with open('data_dir/vocabulary.pkl', 'rb') as f:\n", + " vocabulary = pickle.load(f)\n", + "\n", + "\n", + "# Build models\n", + "encoder_model = CNNModel(256).eval() # eval mode (batchnorm uses moving mean/variance)\n", + "decoder_model = LSTMModel(256, 512, len(vocabulary), 1)\n", + "encoder_model = encoder_model.to(device)\n", + "decoder_model = decoder_model.to(device)\n", + "\n", + "\n", + "# Load the trained model parameters\n", + "encoder_model.load_state_dict(torch.load('models_dir/encoder-5-3000.ckpt'))\n", + "decoder_model.load_state_dict(torch.load('models_dir/decoder-5-3000.ckpt'))\n" + ], + "metadata": { + "id": "BRdMzpVIBuV_", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "b9ae0a8d-1423-43c3-a2cc-fad47b769348" + }, + "id": "BRdMzpVIBuV_", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet152_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet152_Weights.DEFAULT` to get the most up-to-date weights.\n", + " warnings.warn(msg)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 27 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Prepare an image\n", + "sample_image = \"IMG-20230904-WA0009.jpg\"\n", + "img = load_image(sample_image, transform)\n", + "img_tensor = img.to(device)\n", + "\n", + "\n", + "# Generate an caption from the image\n", + "feat = encoder_model(img_tensor)\n", + "sampled_indices = decoder_model.sample(feat)\n", + "sampled_indices = sampled_indices[0].cpu().numpy() # (1, max_seq_length) -> (max_seq_length)\n", + "\n", + "\n", + "# Convert word_ids to words\n", + "predicted_caption = []\n", + "for token_index in sampled_indices:\n", + " word = vocabulary.i2w[token_index]\n", + " predicted_caption.append(word)\n", + " if word == '':\n", + " break\n", + "predicted_sentence = ' '.join(predicted_caption)\n", + "\n", + "\n", + "# Print out the image and the generated caption\n", + "print (predicted_sentence)\n", + "img = Image.open(sample_image)\n", + "plt.imshow(np.asarray(img))" + ], + "metadata": { + "id": "E0buMqM-Bz6b", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 470 + }, + "outputId": "e4511270-b447-469c-a62c-be51c448057d" + }, + "id": "E0buMqM-Bz6b", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " a little girl holding a banana in her hands . \n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 29 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Save the models to your drive" + ], + "metadata": { + "id": "29BlY5NabDC5" + }, + "id": "29BlY5NabDC5" + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount(\"/content/drive\")\n", + "\n", + "model_path = \"/content/drive/MyDrive/models\"" + ], + "metadata": { + "id": "id9lQ1SZbGb7", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "0f52d2e6-15ee-48a7-a6c0-cf70d0052c14" + }, + "id": "id9lQ1SZbGb7", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "UKPs1dungOS_" + }, + "outputs": [], + "source": [ + "!cp models_dir/encoder-5-3000.ckpt /content/drive/MyDrive/models/image_caption\n", + "!cp models_dir/decoder-5-3000.ckpt /content/drive/MyDrive/models/image_caption\n", + "!cp data_dir/vocabulary.pkl /content/drive/MyDrive/models/image_caption" + ], + "id": "UKPs1dungOS_" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + }, + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "accelerator": "GPU" + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file