{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ultralyticsplus import YOLO, render_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading https://dl.ndl.go.jp/api/iiif/1879314/R0000039/full/640,640/0/default.jpg to 'default.jpg'...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 152k/152k [00:00<00:00, 6.69MB/s]\n"
     ]
    }
   ],
   "source": [
    "# load model\n",
    "model = YOLO('best.pt')\n",
    "# model = YOLO(\"nakamura196/yolov8s-layout-detection\")\n",
    "\n",
    "# set image\n",
    "image = \"https://dl.ndl.go.jp/api/iiif/1879314/R0000039/full/640,640/0/default.jpg\"\n",
    "\n",
    "filename = image.split(\"/\")[-1]\n",
    "\n",
    "import os\n",
    "\n",
    "if image.startswith(\"http\"):\n",
    "\n",
    "    os.remove(filename)\n",
    "\n",
    "# perform inference\n",
    "results = model.predict(image, conf=0.25, verbose=False)\n",
    "\n",
    "# observe results\n",
    "render = render_result(model=model, image=image, result=results[0])\n",
    "render.show()"
   ]
  }
 ],
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