update_statistics

scripts/semantic_mapper/semantic_mapper.py

@@ -304,6 +304,10 @@ class SemanticMedian(TaskMapper, NpIORepresentation):
     def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
         return MemoryData(np.eye(self.n_classes)[sum(dep_data).argmax(-1)].astype(np.uint8))
 
+    @overrides
+    def memory_to_disk_fmt(self, memory_data: MemoryData) -> DiskData:
+        return memory_data.argmax(-1).astype(np.uint8)
+
     @overrides
     def make_images(self, data: ReprOut) -> np.ndarray:
         data_output = data.output.argmax(-1) if np.issubdtype(data.output.dtype, np.floating) else data.output

scripts/update_stastistics.py

@@ -0,0 +1,40 @@
+#!/usr/bin/env python3
+from argparse import ArgumentParser, Namespace
+from tqdm import tqdm
+from pathlib import Path
+import numpy as np
+# from lovely_numpy import lo
+from functools import partial
+from multiprocessing import Pool
+
+def do_one(file_path: Path, src_u: np.ndarray, src_std: np.ndarray, dest_u: np.ndarray, dest_std: np.ndarray):
+    x = np.load(file_path)["arr_0"]
+    y = (x - src_u) / src_std * dest_std + dest_u
+    y = y.astype(x.dtype)
+    np.savez_compressed(file_path, y)
+
+def get_args() -> Namespace:
+    parser = ArgumentParser()
+    parser.add_argument("data_dir", type=Path)
+    parser.add_argument("--statistics_file", type=Path, required=True)
+    parser.add_argument("--source_task", required=True)
+    parser.add_argument("--n_workers", type=int, default=1)
+    args = parser.parse_args()
+    return args
+
+def main(args: Namespace):
+    files = [x for x in args.data_dir.iterdir() if x.suffix == ".npz"]
+    assert len(files) > 0
+    stats = np.load(args.statistics_file, allow_pickle=True)["arr_0"].item()
+    assert args.source_task in stats, (stats.keys(), args.source_task)
+    src_u, src_std = stats[args.source_task][2].numpy(), stats[args.source_task][3].numpy()
+    assert (dest_task := args.data_dir.parent.name) in stats, (stats.keys(), dest_task)
+    dest_u, dest_std = stats[dest_task][2].numpy(), stats[dest_task][3].numpy()
+    assert src_u.shape == dest_u.shape and src_std.shape == dest_std.shape, (src_u, dest_u, src_std, dest_std)
+
+    fn = partial(do_one, src_u=src_u, src_std=src_std, dest_u=dest_u, dest_std=dest_std)
+    map_fn = Pool(args.n_workers).imap if args.n_workers > 1 else map
+    for _ in tqdm(map_fn(fn, files), total=len(files)): pass
+
+if __name__ == "__main__":
+    main(get_args())

vre_dronescapes/cntrs.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,16 +11,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ls: cannot access 'comana_DJI_0881_full/camera_normals_output/npz': No such file or directory\n",
+      "ls: cannot access 'comana_DJI_0881_full/depth_output/npz': No such file or directory\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ls: cannot access 'norway_210821_DJI_0015_full/camera_normals_output/npz': No such file or directory\n",
+      "ls: cannot access 'norway_210821_DJI_0015_full/depth_output/npz': No such file or directory\n"
+     ]
+    }
+   ],
    "source": [
     "!ls | grep -v \"cfg.yaml\\|commands.txt\\|pycache\\|collages\\|csv\\|ipynb\" | while read line; do ls $line | while read line2; do cnt=$(ls \"$line\"/\"$line2\"/npz | wc -l); echo \"$line\",\"$line2\",\"$cnt\"; done; done > cnts.csv"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -65,19 +82,19 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>atanasie_DJI_0652_full</td>\n",
-       "      <td>containing</td>\n",
-       "      <td>9021</td>\n",
+       "      <td>camera_normals_output</td>\n",
+       "      <td>9001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>atanasie_DJI_0652_full</td>\n",
-       "      <td>depth_marigold</td>\n",
+       "      <td>containing</td>\n",
        "      <td>9021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>atanasie_DJI_0652_full</td>\n",
-       "      <td>normals_svd(depth_marigold)</td>\n",
+       "      <td>depth_marigold</td>\n",
        "      <td>9021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -87,38 +104,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>309</th>\n",
+       "      <th>355</th>\n",
        "      <td>slanic_DJI_0956_0957_combined_sliced_780_9780</td>\n",
-       "      <td>semantic_mask2former_swin_coco_converted</td>\n",
+       "      <td>semantic_mask2former_swin_mapillary_converted</td>\n",
        "      <td>9001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>310</th>\n",
+       "      <th>356</th>\n",
        "      <td>slanic_DJI_0956_0957_combined_sliced_780_9780</td>\n",
-       "      <td>semantic_mask2former_swin_mapillary_converted</td>\n",
+       "      <td>semantic_output</td>\n",
        "      <td>9001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>311</th>\n",
+       "      <th>357</th>\n",
        "      <td>slanic_DJI_0956_0957_combined_sliced_780_9780</td>\n",
        "      <td>sky-and-water</td>\n",
        "      <td>9001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>312</th>\n",
+       "      <th>358</th>\n",
        "      <td>slanic_DJI_0956_0957_combined_sliced_780_9780</td>\n",
        "      <td>transportation</td>\n",
        "      <td>9001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>313</th>\n",
+       "      <th>359</th>\n",
        "      <td>slanic_DJI_0956_0957_combined_sliced_780_9780</td>\n",
        "      <td>vegetation</td>\n",
        "      <td>9001</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>314 rows × 3 columns</p>\n",
+       "<p>360 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -129,26 +146,26 @@
        "3                           atanasie_DJI_0652_full   \n",
        "4                           atanasie_DJI_0652_full   \n",
        "..                                             ...   \n",
-       "309  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
-       "310  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
-       "311  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
-       "312  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
-       "313  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
+       "355  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
+       "356  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
+       "357  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
+       "358  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
+       "359  slanic_DJI_0956_0957_combined_sliced_780_9780   \n",
        "\n",
        "                                              task  counts  \n",
        "0                                        buildings    9021  \n",
        "1                                buildings(nearby)    9021  \n",
-       "2                                       containing    9021  \n",
-       "3                                   depth_marigold    9021  \n",
-       "4                      normals_svd(depth_marigold)    9021  \n",
+       "2                            camera_normals_output    9001  \n",
+       "3                                       containing    9021  \n",
+       "4                                   depth_marigold    9021  \n",
        "..                                             ...     ...  \n",
-       "309       semantic_mask2former_swin_coco_converted    9001  \n",
-       "310  semantic_mask2former_swin_mapillary_converted    9001  \n",
-       "311                                  sky-and-water    9001  \n",
-       "312                                 transportation    9001  \n",
-       "313                                     vegetation    9001  \n",
+       "355  semantic_mask2former_swin_mapillary_converted    9001  \n",
+       "356                                semantic_output    9001  \n",
+       "357                                  sky-and-water    9001  \n",
+       "358                                 transportation    9001  \n",
+       "359                                     vegetation    9001  \n",
        "\n",
-       "[314 rows x 3 columns]"
+       "[360 rows x 3 columns]"
       ]
      },
      "metadata": {},
@@ -163,14 +180,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_698033/2846805734.py:4: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
+      "/tmp/ipykernel_3560989/2846805734.py:4: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
       "  df2 = df.groupby(\"scene\").apply(f).reset_index().drop(columns=[\"level_1\"]).set_index(\"scene\")\n"
      ]
     },
@@ -198,8 +215,10 @@
        "      <th>rgb</th>\n",
        "      <th>buildings</th>\n",
        "      <th>buildings(nearby)</th>\n",
+       "      <th>camera_normals_output</th>\n",
        "      <th>containing</th>\n",
        "      <th>depth_marigold</th>\n",
+       "      <th>depth_output</th>\n",
        "      <th>normals_svd(depth_marigold)</th>\n",
        "      <th>safe-landing-no-sseg</th>\n",
        "      <th>safe-landing-semantics</th>\n",
@@ -209,10 +228,10 @@
        "      <th>semantic_mask2former_r50_mapillary_converted</th>\n",
        "      <th>semantic_mask2former_swin_coco_converted</th>\n",
        "      <th>semantic_mask2former_swin_mapillary_converted</th>\n",
+       "      <th>semantic_output</th>\n",
        "      <th>sky-and-water</th>\n",
        "      <th>transportation</th>\n",
        "      <th>vegetation</th>\n",
-       "      <th>semantic_output</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>scene</th>\n",
@@ -234,6 +253,8 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -242,8 +263,10 @@
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
+       "      <td>9001</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
+       "      <td>9001</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
@@ -253,18 +276,20 @@
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
+       "      <td>9001</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>barsana_DJI_0500_0501_combined_sliced_2700_14700</th>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
+       "      <td>1452</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
+       "      <td>1452</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
@@ -274,18 +299,20 @@
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
+       "      <td>1452</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
        "      <td>12001</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>comana_DJI_0881_full</th>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>0</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>0</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
@@ -295,18 +322,20 @@
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110</th>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
@@ -316,18 +345,20 @@
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
        "      <td>9601</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>herculane_DJI_0021_full</th>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>847</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>847</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
@@ -337,18 +368,20 @@
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>847</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715</th>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
+       "      <td>1452</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
+       "      <td>1452</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
@@ -358,18 +391,20 @@
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
+       "      <td>1452</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
        "      <td>11066</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>norway_210821_DJI_0015_full</th>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
+       "      <td>0</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
+       "      <td>0</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
@@ -379,10 +414,10 @@
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
+       "      <td>2941</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
        "      <td>2983</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>norway_DJI_0741_540p</th>\n",
@@ -404,14 +439,18 @@
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
+       "      <td>9021</td>\n",
+       "      <td>9021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>olanesti_DJI_0416_full</th>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
@@ -421,10 +460,10 @@
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>1210</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ovaselu_DJI_0372_540p</th>\n",
@@ -446,35 +485,41 @@
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>9022</td>\n",
+       "      <td>9022</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>paris_youtube_1_540p</th>\n",
        "      <td>8455</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>8455</td>\n",
        "      <td>8455</td>\n",
        "      <td>8455</td>\n",
        "      <td>8455</td>\n",
-       "      <td>0</td>\n",
        "      <td>8455</td>\n",
        "      <td>8455</td>\n",
        "      <td>8455</td>\n",
        "      <td>8455</td>\n",
-       "      <td>0</td>\n",
-       "      <td>555</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>8455</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>petrova_DJI_0525_0526_combined_sliced_2850_11850</th>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
+       "      <td>847</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
+       "      <td>847</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
@@ -484,10 +529,10 @@
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
+       "      <td>847</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>politehnica_DJI_0741_a2_540p</th>\n",
@@ -509,6 +554,8 @@
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
        "      <td>9021</td>\n",
+       "      <td>9021</td>\n",
+       "      <td>9021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>raciu_DJI_0418_540p</th>\n",
@@ -530,27 +577,31 @@
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
        "      <td>9022</td>\n",
+       "      <td>9022</td>\n",
+       "      <td>9022</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>riodejaneiro_youtube_1_540p</th>\n",
        "      <td>6264</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>6264</td>\n",
        "      <td>6264</td>\n",
        "      <td>6264</td>\n",
        "      <td>6264</td>\n",
-       "      <td>0</td>\n",
        "      <td>6264</td>\n",
        "      <td>6264</td>\n",
        "      <td>6264</td>\n",
        "      <td>6264</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3870</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
+       "      <td>6264</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>rome_youtube_1_540p</th>\n",
@@ -572,27 +623,31 @@
        "      <td>14074</td>\n",
        "      <td>14074</td>\n",
        "      <td>14074</td>\n",
+       "      <td>14074</td>\n",
+       "      <td>14074</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sanfrancisco_youtube_1_540p</th>\n",
        "      <td>5635</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>5635</td>\n",
        "      <td>5635</td>\n",
        "      <td>5635</td>\n",
        "      <td>5635</td>\n",
-       "      <td>0</td>\n",
        "      <td>5635</td>\n",
        "      <td>5635</td>\n",
        "      <td>5635</td>\n",
        "      <td>5635</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4965</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
+       "      <td>5635</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>slanic_DJI_0956_0957_combined_sliced_780_9780</th>\n",
@@ -613,28 +668,32 @@
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
        "      <td>9001</td>\n",
-       "      <td>0</td>\n",
+       "      <td>9001</td>\n",
+       "      <td>9001</td>\n",
+       "      <td>9001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>total</th>\n",
        "      <td>160254</td>\n",
-       "      <td>139900</td>\n",
-       "      <td>139900</td>\n",
+       "      <td>160254</td>\n",
+       "      <td>160254</td>\n",
+       "      <td>95534</td>\n",
+       "      <td>160254</td>\n",
+       "      <td>160254</td>\n",
+       "      <td>95534</td>\n",
+       "      <td>160254</td>\n",
+       "      <td>160254</td>\n",
+       "      <td>160254</td>\n",
        "      <td>160254</td>\n",
        "      <td>160254</td>\n",
        "      <td>160254</td>\n",
        "      <td>160254</td>\n",
-       "      <td>139900</td>\n",
        "      <td>160254</td>\n",
        "      <td>160254</td>\n",
+       "      <td>99685</td>\n",
+       "      <td>160254</td>\n",
        "      <td>160254</td>\n",
        "      <td>160254</td>\n",
-       "      <td>139900</td>\n",
-       "      <td>149290</td>\n",
-       "      <td>139900</td>\n",
-       "      <td>139900</td>\n",
-       "      <td>139900</td>\n",
-       "      <td>50160</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -653,15 +712,15 @@
        "norway_DJI_0741_540p                                  9021       9021   \n",
        "olanesti_DJI_0416_full                                9022       9022   \n",
        "ovaselu_DJI_0372_540p                                 9022       9022   \n",
-       "paris_youtube_1_540p                                  8455          0   \n",
+       "paris_youtube_1_540p                                  8455       8455   \n",
        "petrova_DJI_0525_0526_combined_sliced_2850_11850      9001       9001   \n",
        "politehnica_DJI_0741_a2_540p                          9021       9021   \n",
        "raciu_DJI_0418_540p                                   9022       9022   \n",
-       "riodejaneiro_youtube_1_540p                           6264          0   \n",
+       "riodejaneiro_youtube_1_540p                           6264       6264   \n",
        "rome_youtube_1_540p                                  14074      14074   \n",
-       "sanfrancisco_youtube_1_540p                           5635          0   \n",
+       "sanfrancisco_youtube_1_540p                           5635       5635   \n",
        "slanic_DJI_0956_0957_combined_sliced_780_9780         9001       9001   \n",
-       "total                                               160254     139900   \n",
+       "total                                               160254     160254   \n",
        "\n",
        "                                                    buildings(nearby)  \\\n",
        "scene                                                                   \n",
@@ -675,15 +734,37 @@
        "norway_DJI_0741_540p                                             9021   \n",
        "olanesti_DJI_0416_full                                           9022   \n",
        "ovaselu_DJI_0372_540p                                            9022   \n",
-       "paris_youtube_1_540p                                                0   \n",
+       "paris_youtube_1_540p                                             8455   \n",
        "petrova_DJI_0525_0526_combined_sliced_2850_11850                 9001   \n",
        "politehnica_DJI_0741_a2_540p                                     9021   \n",
        "raciu_DJI_0418_540p                                              9022   \n",
-       "riodejaneiro_youtube_1_540p                                         0   \n",
+       "riodejaneiro_youtube_1_540p                                      6264   \n",
        "rome_youtube_1_540p                                             14074   \n",
-       "sanfrancisco_youtube_1_540p                                         0   \n",
+       "sanfrancisco_youtube_1_540p                                      5635   \n",
        "slanic_DJI_0956_0957_combined_sliced_780_9780                    9001   \n",
-       "total                                                          139900   \n",
+       "total                                                          160254   \n",
+       "\n",
+       "                                                    camera_normals_output  \\\n",
+       "scene                                                                       \n",
+       "atanasie_DJI_0652_full                                               9001   \n",
+       "barsana_DJI_0500_0501_combined_sliced_2700_14700                     1452   \n",
+       "comana_DJI_0881_full                                                    0   \n",
+       "gradistei_DJI_0787_0788_0789_combined_sliced_35...                   1210   \n",
+       "herculane_DJI_0021_full                                               847   \n",
+       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...                   1452   \n",
+       "norway_210821_DJI_0015_full                                             0   \n",
+       "norway_DJI_0741_540p                                                 9021   \n",
+       "olanesti_DJI_0416_full                                               1210   \n",
+       "ovaselu_DJI_0372_540p                                                9022   \n",
+       "paris_youtube_1_540p                                                 8455   \n",
+       "petrova_DJI_0525_0526_combined_sliced_2850_11850                      847   \n",
+       "politehnica_DJI_0741_a2_540p                                         9021   \n",
+       "raciu_DJI_0418_540p                                                  9022   \n",
+       "riodejaneiro_youtube_1_540p                                          6264   \n",
+       "rome_youtube_1_540p                                                 14074   \n",
+       "sanfrancisco_youtube_1_540p                                          5635   \n",
+       "slanic_DJI_0956_0957_combined_sliced_780_9780                        9001   \n",
+       "total                                                               95534   \n",
        "\n",
        "                                                    containing  \\\n",
        "scene                                                            \n",
@@ -729,6 +810,28 @@
        "slanic_DJI_0956_0957_combined_sliced_780_9780                 9001   \n",
        "total                                                       160254   \n",
        "\n",
+       "                                                    depth_output  \\\n",
+       "scene                                                              \n",
+       "atanasie_DJI_0652_full                                      9001   \n",
+       "barsana_DJI_0500_0501_combined_sliced_2700_14700            1452   \n",
+       "comana_DJI_0881_full                                           0   \n",
+       "gradistei_DJI_0787_0788_0789_combined_sliced_35...          1210   \n",
+       "herculane_DJI_0021_full                                      847   \n",
+       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...          1452   \n",
+       "norway_210821_DJI_0015_full                                    0   \n",
+       "norway_DJI_0741_540p                                        9021   \n",
+       "olanesti_DJI_0416_full                                      1210   \n",
+       "ovaselu_DJI_0372_540p                                       9022   \n",
+       "paris_youtube_1_540p                                        8455   \n",
+       "petrova_DJI_0525_0526_combined_sliced_2850_11850             847   \n",
+       "politehnica_DJI_0741_a2_540p                                9021   \n",
+       "raciu_DJI_0418_540p                                         9022   \n",
+       "riodejaneiro_youtube_1_540p                                 6264   \n",
+       "rome_youtube_1_540p                                        14074   \n",
+       "sanfrancisco_youtube_1_540p                                 5635   \n",
+       "slanic_DJI_0956_0957_combined_sliced_780_9780               9001   \n",
+       "total                                                      95534   \n",
+       "\n",
        "                                                    normals_svd(depth_marigold)  \\\n",
        "scene                                                                             \n",
        "atanasie_DJI_0652_full                                                     9021   \n",
@@ -785,15 +888,15 @@
        "norway_DJI_0741_540p                                                  9021   \n",
        "olanesti_DJI_0416_full                                                9022   \n",
        "ovaselu_DJI_0372_540p                                                 9022   \n",
-       "paris_youtube_1_540p                                                     0   \n",
+       "paris_youtube_1_540p                                                  8455   \n",
        "petrova_DJI_0525_0526_combined_sliced_2850_11850                      9001   \n",
        "politehnica_DJI_0741_a2_540p                                          9021   \n",
        "raciu_DJI_0418_540p                                                   9022   \n",
-       "riodejaneiro_youtube_1_540p                                              0   \n",
+       "riodejaneiro_youtube_1_540p                                           6264   \n",
        "rome_youtube_1_540p                                                  14074   \n",
-       "sanfrancisco_youtube_1_540p                                              0   \n",
+       "sanfrancisco_youtube_1_540p                                           5635   \n",
        "slanic_DJI_0956_0957_combined_sliced_780_9780                         9001   \n",
-       "total                                                               139900   \n",
+       "total                                                               160254   \n",
        "\n",
        "                                                    semantic_mask2former_coco_47429163_0  \\\n",
        "scene                                                                                      \n",
@@ -895,15 +998,15 @@
        "norway_DJI_0741_540p                                                                    9021   \n",
        "olanesti_DJI_0416_full                                                                  9022   \n",
        "ovaselu_DJI_0372_540p                                                                   9022   \n",
-       "paris_youtube_1_540p                                                                       0   \n",
+       "paris_youtube_1_540p                                                                    8455   \n",
        "petrova_DJI_0525_0526_combined_sliced_2850_11850                                        9001   \n",
        "politehnica_DJI_0741_a2_540p                                                            9021   \n",
        "raciu_DJI_0418_540p                                                                     9022   \n",
-       "riodejaneiro_youtube_1_540p                                                                0   \n",
+       "riodejaneiro_youtube_1_540p                                                             6264   \n",
        "rome_youtube_1_540p                                                                    14074   \n",
-       "sanfrancisco_youtube_1_540p                                                                0   \n",
+       "sanfrancisco_youtube_1_540p                                                             5635   \n",
        "slanic_DJI_0956_0957_combined_sliced_780_9780                                           9001   \n",
-       "total                                                                                 139900   \n",
+       "total                                                                                 160254   \n",
        "\n",
        "                                                    semantic_mask2former_swin_mapillary_converted  \\\n",
        "scene                                                                                               \n",
@@ -917,15 +1020,37 @@
        "norway_DJI_0741_540p                                                                         9021   \n",
        "olanesti_DJI_0416_full                                                                       9022   \n",
        "ovaselu_DJI_0372_540p                                                                        9022   \n",
-       "paris_youtube_1_540p                                                                          555   \n",
+       "paris_youtube_1_540p                                                                         8455   \n",
        "petrova_DJI_0525_0526_combined_sliced_2850_11850                                             9001   \n",
        "politehnica_DJI_0741_a2_540p                                                                 9021   \n",
        "raciu_DJI_0418_540p                                                                          9022   \n",
-       "riodejaneiro_youtube_1_540p                                                                  3870   \n",
+       "riodejaneiro_youtube_1_540p                                                                  6264   \n",
        "rome_youtube_1_540p                                                                         14074   \n",
-       "sanfrancisco_youtube_1_540p                                                                  4965   \n",
+       "sanfrancisco_youtube_1_540p                                                                  5635   \n",
        "slanic_DJI_0956_0957_combined_sliced_780_9780                                                9001   \n",
-       "total                                                                                      149290   \n",
+       "total                                                                                      160254   \n",
+       "\n",
+       "                                                    semantic_output  \\\n",
+       "scene                                                                 \n",
+       "atanasie_DJI_0652_full                                         9001   \n",
+       "barsana_DJI_0500_0501_combined_sliced_2700_14700               1452   \n",
+       "comana_DJI_0881_full                                           1210   \n",
+       "gradistei_DJI_0787_0788_0789_combined_sliced_35...             1210   \n",
+       "herculane_DJI_0021_full                                         847   \n",
+       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...             1452   \n",
+       "norway_210821_DJI_0015_full                                    2941   \n",
+       "norway_DJI_0741_540p                                           9021   \n",
+       "olanesti_DJI_0416_full                                         1210   \n",
+       "ovaselu_DJI_0372_540p                                          9022   \n",
+       "paris_youtube_1_540p                                           8455   \n",
+       "petrova_DJI_0525_0526_combined_sliced_2850_11850                847   \n",
+       "politehnica_DJI_0741_a2_540p                                   9021   \n",
+       "raciu_DJI_0418_540p                                            9022   \n",
+       "riodejaneiro_youtube_1_540p                                    6264   \n",
+       "rome_youtube_1_540p                                           14074   \n",
+       "sanfrancisco_youtube_1_540p                                    5635   \n",
+       "slanic_DJI_0956_0957_combined_sliced_780_9780                  9001   \n",
+       "total                                                         99685   \n",
        "\n",
        "                                                    sky-and-water  \\\n",
        "scene                                                               \n",
@@ -939,81 +1064,37 @@
        "norway_DJI_0741_540p                                         9021   \n",
        "olanesti_DJI_0416_full                                       9022   \n",
        "ovaselu_DJI_0372_540p                                        9022   \n",
-       "paris_youtube_1_540p                                            0   \n",
+       "paris_youtube_1_540p                                         8455   \n",
        "petrova_DJI_0525_0526_combined_sliced_2850_11850             9001   \n",
        "politehnica_DJI_0741_a2_540p                                 9021   \n",
        "raciu_DJI_0418_540p                                          9022   \n",
-       "riodejaneiro_youtube_1_540p                                     0   \n",
+       "riodejaneiro_youtube_1_540p                                  6264   \n",
        "rome_youtube_1_540p                                         14074   \n",
-       "sanfrancisco_youtube_1_540p                                     0   \n",
+       "sanfrancisco_youtube_1_540p                                  5635   \n",
        "slanic_DJI_0956_0957_combined_sliced_780_9780                9001   \n",
-       "total                                                      139900   \n",
+       "total                                                      160254   \n",
        "\n",
-       "                                                    transportation  \\\n",
-       "scene                                                                \n",
-       "atanasie_DJI_0652_full                                        9021   \n",
-       "barsana_DJI_0500_0501_combined_sliced_2700_14700             12001   \n",
-       "comana_DJI_0881_full                                          9022   \n",
-       "gradistei_DJI_0787_0788_0789_combined_sliced_35...            9601   \n",
-       "herculane_DJI_0021_full                                       9022   \n",
-       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...           11066   \n",
-       "norway_210821_DJI_0015_full                                   2983   \n",
-       "norway_DJI_0741_540p                                          9021   \n",
-       "olanesti_DJI_0416_full                                        9022   \n",
-       "ovaselu_DJI_0372_540p                                         9022   \n",
-       "paris_youtube_1_540p                                             0   \n",
-       "petrova_DJI_0525_0526_combined_sliced_2850_11850              9001   \n",
-       "politehnica_DJI_0741_a2_540p                                  9021   \n",
-       "raciu_DJI_0418_540p                                           9022   \n",
-       "riodejaneiro_youtube_1_540p                                      0   \n",
-       "rome_youtube_1_540p                                          14074   \n",
-       "sanfrancisco_youtube_1_540p                                      0   \n",
-       "slanic_DJI_0956_0957_combined_sliced_780_9780                 9001   \n",
-       "total                                                       139900   \n",
-       "\n",
-       "                                                    vegetation  \\\n",
-       "scene                                                            \n",
-       "atanasie_DJI_0652_full                                    9021   \n",
-       "barsana_DJI_0500_0501_combined_sliced_2700_14700         12001   \n",
-       "comana_DJI_0881_full                                      9022   \n",
-       "gradistei_DJI_0787_0788_0789_combined_sliced_35...        9601   \n",
-       "herculane_DJI_0021_full                                   9022   \n",
-       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...       11066   \n",
-       "norway_210821_DJI_0015_full                               2983   \n",
-       "norway_DJI_0741_540p                                      9021   \n",
-       "olanesti_DJI_0416_full                                    9022   \n",
-       "ovaselu_DJI_0372_540p                                     9022   \n",
-       "paris_youtube_1_540p                                         0   \n",
-       "petrova_DJI_0525_0526_combined_sliced_2850_11850          9001   \n",
-       "politehnica_DJI_0741_a2_540p                              9021   \n",
-       "raciu_DJI_0418_540p                                       9022   \n",
-       "riodejaneiro_youtube_1_540p                                  0   \n",
-       "rome_youtube_1_540p                                      14074   \n",
-       "sanfrancisco_youtube_1_540p                                  0   \n",
-       "slanic_DJI_0956_0957_combined_sliced_780_9780             9001   \n",
-       "total                                                   139900   \n",
-       "\n",
-       "                                                    semantic_output  \n",
-       "scene                                                                \n",
-       "atanasie_DJI_0652_full                                            0  \n",
-       "barsana_DJI_0500_0501_combined_sliced_2700_14700                  0  \n",
-       "comana_DJI_0881_full                                              0  \n",
-       "gradistei_DJI_0787_0788_0789_combined_sliced_35...                0  \n",
-       "herculane_DJI_0021_full                                           0  \n",
-       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...                0  \n",
-       "norway_210821_DJI_0015_full                                       0  \n",
-       "norway_DJI_0741_540p                                           9021  \n",
-       "olanesti_DJI_0416_full                                            0  \n",
-       "ovaselu_DJI_0372_540p                                          9022  \n",
-       "paris_youtube_1_540p                                              0  \n",
-       "petrova_DJI_0525_0526_combined_sliced_2850_11850                  0  \n",
-       "politehnica_DJI_0741_a2_540p                                   9021  \n",
-       "raciu_DJI_0418_540p                                            9022  \n",
-       "riodejaneiro_youtube_1_540p                                       0  \n",
-       "rome_youtube_1_540p                                           14074  \n",
-       "sanfrancisco_youtube_1_540p                                       0  \n",
-       "slanic_DJI_0956_0957_combined_sliced_780_9780                     0  \n",
-       "total                                                         50160  "
+       "                                                    transportation  vegetation  \n",
+       "scene                                                                           \n",
+       "atanasie_DJI_0652_full                                        9021        9021  \n",
+       "barsana_DJI_0500_0501_combined_sliced_2700_14700             12001       12001  \n",
+       "comana_DJI_0881_full                                          9022        9022  \n",
+       "gradistei_DJI_0787_0788_0789_combined_sliced_35...            9601        9601  \n",
+       "herculane_DJI_0021_full                                       9022        9022  \n",
+       "jupiter_DJI_0703_0704_0705_combined_sliced_1065...           11066       11066  \n",
+       "norway_210821_DJI_0015_full                                   2983        2983  \n",
+       "norway_DJI_0741_540p                                          9021        9021  \n",
+       "olanesti_DJI_0416_full                                        9022        9022  \n",
+       "ovaselu_DJI_0372_540p                                         9022        9022  \n",
+       "paris_youtube_1_540p                                          8455        8455  \n",
+       "petrova_DJI_0525_0526_combined_sliced_2850_11850              9001        9001  \n",
+       "politehnica_DJI_0741_a2_540p                                  9021        9021  \n",
+       "raciu_DJI_0418_540p                                           9022        9022  \n",
+       "riodejaneiro_youtube_1_540p                                   6264        6264  \n",
+       "rome_youtube_1_540p                                          14074       14074  \n",
+       "sanfrancisco_youtube_1_540p                                   5635        5635  \n",
+       "slanic_DJI_0956_0957_combined_sliced_780_9780                 9001        9001  \n",
+       "total                                                       160254      160254  "
       ]
      },
      "metadata": {},

vre_dronescapes/commands.txt

@@ -1,60 +1,60 @@
 # Run VRE on the raw videos (in vre_dronescapes dir)
 
 tmux new -s vre_atanasie
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=0 vre ../raw_data/videos/atanasie_DJI_0652_full/atanasie_DJI_0652_full_540p.mp4 -o atanasie_DJI_0652_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=0 vre ../raw_data/videos/atanasie_DJI_0652_full/atanasie_DJI_0652_full_540p.mp4 -o atanasie_DJI_0652_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_barsana
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=1 vre ../raw_data/videos/barsana_DJI_0500_0501_combined_sliced_2700_14700/barsana_DJI_0500_0501_combined_sliced_2700_14700_540p.mp4 -o barsana_DJI_0500_0501_combined_sliced_2700_14700/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=1 vre ../raw_data/videos/barsana_DJI_0500_0501_combined_sliced_2700_14700/barsana_DJI_0500_0501_combined_sliced_2700_14700_540p.mp4 -o barsana_DJI_0500_0501_combined_sliced_2700_14700/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_comana
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=2 vre ../raw_data/videos/comana_DJI_0881_full/comana_DJI_0881_full_540p.mp4 -o comana_DJI_0881_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=2 vre ../raw_data/videos/comana_DJI_0881_full/comana_DJI_0881_full_540p.mp4 -o comana_DJI_0881_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_gradistei
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=3 vre ../raw_data/videos/gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110/gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110_540p.mp4 -o gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=3 vre ../raw_data/videos/gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110/gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110_540p.mp4 -o gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_herculane
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=4 vre ../raw_data/videos/herculane_DJI_0021_full/herculane_DJI_0021_full_540p.mp4 -o herculane_DJI_0021_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=4 vre ../raw_data/videos/herculane_DJI_0021_full/herculane_DJI_0021_full_540p.mp4 -o herculane_DJI_0021_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_petrova
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=5 vre ../raw_data/videos/petrova_DJI_0525_0526_combined_sliced_2850_11850/petrova_DJI_0525_0526_combined_sliced_2850_11850_540p.mp4 -o petrova_DJI_0525_0526_combined_sliced_2850_11850/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=5 vre ../raw_data/videos/petrova_DJI_0525_0526_combined_sliced_2850_11850/petrova_DJI_0525_0526_combined_sliced_2850_11850_540p.mp4 -o petrova_DJI_0525_0526_combined_sliced_2850_11850/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_norway
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=6 vre ../raw_data/videos/norway_210821_DJI_0015_full/norway_210821_DJI_0015_full_540p.mp4 -o norway_210821_DJI_0015_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=6 vre ../raw_data/videos/norway_210821_DJI_0015_full/norway_210821_DJI_0015_full_540p.mp4 -o norway_210821_DJI_0015_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_slanic
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=6 vre ../raw_data/videos/slanic_DJI_0956_0957_combined_sliced_780_9780/slanic_DJI_0956_0957_combined_sliced_780_9780_540p.mp4 -o slanic_DJI_0956_0957_combined_sliced_780_9780/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=6 vre ../raw_data/videos/slanic_DJI_0956_0957_combined_sliced_780_9780/slanic_DJI_0956_0957_combined_sliced_780_9780_540p.mp4 -o slanic_DJI_0956_0957_combined_sliced_780_9780/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_jupiter
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=7 vre ../raw_data/videos/jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715/jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715_540p.mp4 -o jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=7 vre ../raw_data/videos/jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715/jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715_540p.mp4 -o jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s vre_olanesti
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=7 vre ../raw_data/videos/olanesti_DJI_0416_full/olanesti_DJI_0416_full_540p.mp4 -o olanesti_DJI_0416_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=7 vre ../raw_data/videos/olanesti_DJI_0416_full/olanesti_DJI_0416_full_540p.mp4 -o olanesti_DJI_0416_full/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 # new videos
 
 tmux new -s norway2
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=1 vre ../raw_data/videos/new_videos/norway_DJI_0741_540p.mp4 -o norway_DJI_0741_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=1 vre ../raw_data/videos/new_videos/norway_DJI_0741_540p.mp4 -o norway_DJI_0741_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s politehnica
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=2 vre ../raw_data/videos/new_videos/politehnica_DJI_0741_a2_540p.mp4 -o politehnica_DJI_0741_a2_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=2 vre ../raw_data/videos/new_videos/politehnica_DJI_0741_a2_540p.mp4 -o politehnica_DJI_0741_a2_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s ovaselu
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=3 vre ../raw_data/videos/new_videos/ovaselu_DJI_0372_540p.mp4 -o ovaselu_DJI_0372_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=3 vre ../raw_data/videos/new_videos/ovaselu_DJI_0372_540p.mp4 -o ovaselu_DJI_0372_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s raciu
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=4 vre ../raw_data/videos/new_videos/raciu_DJI_0418_540p.mp4 -o raciu_DJI_0418_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=4 vre ../raw_data/videos/new_videos/raciu_DJI_0418_540p.mp4 -o raciu_DJI_0418_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s sf
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=5 vre ../raw_data/videos/new_videos/sanfrancisco_youtube_1_540p.mp4 -o sanfrancisco_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=5 vre ../raw_data/videos/new_videos/sanfrancisco_youtube_1_540p.mp4 -o sanfrancisco_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s paris
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=6 vre ../raw_data/videos/new_videos/paris_youtube_1_540p.mp4 -o paris_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=6 vre ../raw_data/videos/new_videos/paris_youtube_1_540p.mp4 -o paris_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s rio
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=7 vre ../raw_data/videos/new_videos/riodejaneiro_youtube_1_540p.mp4 -o riodejaneiro_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=7 vre ../raw_data/videos/new_videos/riodejaneiro_youtube_1_540p.mp4 -o riodejaneiro_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 tmux new -s rome
-VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=0 vre ../raw_data/videos/new_videos/rome_youtube_1_540p.mp4 -o rome_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
+VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=0 vre ../raw_data/videos/new_videos/rome_youtube_1_540p.mp4 -o rome_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks --representations semantic_output
 
 # Split dataset in the relevant 8 splits (in root dir)
 
@@ -68,9 +68,12 @@ python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_fil
 python scripts/symlinks_from_txt_list.py vre_dronescapes/ --copy_files --txt_file scripts/txt_files/manually_annotated_files/test_files_116.txt -o data/test_set_annotated_only
 
 # experts (make combined txt file of all new scenes + old data)
-mkdir scripts/txt_files/experts # in root dir
+# in vre_dronescapes_dir
 ls . | grep "norway_DJI_0741_540p\|politehnica_DJI_0741_a2_540p\|ovaselu_DJI_0372_540p\|raciu_DJI_0418_540p\|sanfrancisco_youtube_1_540p\|paris_youtube_1_540p\|riodejaneiro_youtube_1_540p\|rome_youtube_1_540p" | while read line; do rm -f ../scripts/txt_files/experts/"$line".txt; ls -v $line/rgb/npz | while read line2; do stem=${line2:0:-4}; echo $line/$stem >> ../scripts/txt_files/experts/"$line".txt; done; done
-cd scripts/txt_files/experts # move to txt files dir
+ls . | grep "norway_DJI_0741_540p\|politehnica_DJI_0741_a2_540p\|ovaselu_DJI_0372_540p\|raciu_DJI_0418_540p\|sanfrancisco_youtube_1_540p\|paris_youtube_1_540p\|riodejaneiro_youtube_1_540p\|rome_youtube_1_540p" | while read line; do echo $line; cp -r $line/depth_marigold $line/depth_output; ../scripts/update_stastistics.py $line/depth_output/npz --statistics_file  ../data/train_set/.task_statistics.npz --source_task depth_marigold --n_workers 32; cp -r $line/'normals_svd(depth_marigold)' $line/camera_normals_output; done
+ls . | grep "norway_DJI_0741_540p\|politehnica_DJI_0741_a2_540p\|ovaselu_DJI_0372_540p\|raciu_DJI_0418_540p\|sanfrancisco_youtube_1_540p\|paris_youtube_1_540p\|riodejaneiro_youtube_1_540p\|rome_youtube_1_540p" | while read line; do ../scripts/update_stastistics.py $line/depth_output/npz --statistics_file ../data/train_set/.task_statistics.npz --source_task depth_marigold --n_workers 32; done
+mkdir ../scripts/txt_files/experts # in root dir
+cd ../scripts/txt_files/experts # move to txt files dir
 cat ../annotated_and_segprop/train_files_11664.txt > train_set.txt
 cat ../annotated_and_segprop/semisup_files_11299.txt >> train_set.txt
 ls | grep -v train_set | while read line; do cat $line >> train_set.txt; done