{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ultralyticsplus import YOLO, render_result\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt to 'yolov8n.pt'...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 6.23M/6.23M [00:00<00:00, 40.2MB/s]\n"
     ]
    }
   ],
   "source": [
    "# load model\n",
    "model = YOLO('nakamura196/yolov8s-layout-detection')\n",
    "\n",
    "# set model parameters\n",
    "model.overrides['conf'] = 0.25  # NMS confidence threshold\n",
    "model.overrides['iou'] = 0.45  # NMS IoU threshold\n",
    "model.overrides['agnostic_nms'] = False  # NMS class-agnostic\n",
    "model.overrides['max_det'] = 1000  # maximum number of detections per image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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