{
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   "source": [
    "name_to_id = {\n",
    "    \"NA\": 'NA',\n",
    "    \"Bullseye\": 10,\n",
    "    \"One\": 11,\n",
    "    \"Two\": 12,\n",
    "    \"Three\": 13,\n",
    "    \"Four\": 14,\n",
    "    \"Five\": 15,\n",
    "    \"Six\": 16,\n",
    "    \"Seven\": 17,\n",
    "    \"Eight\": 18,\n",
    "    \"Nine\": 19,\n",
    "    \"A\": 20,\n",
    "    \"B\": 21,\n",
    "    \"C\": 22,\n",
    "    \"D\": 23,\n",
    "    \"E\": 24,\n",
    "    \"F\": 25,\n",
    "    \"G\": 26,\n",
    "    \"H\": 27,\n",
    "    \"S\": 28,\n",
    "    \"T\": 29,\n",
    "    \"U\": 30,\n",
    "    \"V\": 31,\n",
    "    \"W\": 32,\n",
    "    \"X\": 33,\n",
    "    \"Y\": 34,\n",
    "    \"Z\": 35,\n",
    "    \"Up\": 36,\n",
    "    \"Down\": 37,\n",
    "    \"Right\": 38,\n",
    "    \"Left\": 39,\n",
    "    \"Up Arrow\": 36,\n",
    "    \"Down Arrow\": 37,\n",
    "    \"Right Arrow\": 38,\n",
    "    \"Left Arrow\": 39,\n",
    "    \"Stop\": 40\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a89ceef6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "优先近距离物体:\n",
      "200\n",
      "{'detection': {'annotated_image_path': 'results/annotated_image_Up-36_1757948296.jpg', 'bbox_coordinates': {'x1': 545.3320312499999, 'x2': 560.7070312499999, 'y1': 15.254882812499998, 'y2': 33.75292968749999}, 'confidence': 0.01422882080078125, 'label': 'Up', 'original_image_path': 'results\\\\3483d55f-887a-4364-8d0b-6910faa6a585_36.png'}, 'image_id': '36', 'obstacle_id': 'unknown'}\n"
     ]
    }
   ],
   "source": [
    "# 选项1: 优先检测较近的物体（默认行为，面积较大的物体）\n",
    "import requests\n",
    "\n",
    "SERVER_URL = \"http://localhost:5000\"\n",
    "image_file = \"Screenshot 2025-09-15 225930.png\"\n",
    "\n",
    "with open(image_file, 'rb') as f:\n",
    "    files = {'file': f}\n",
    "    data = {'prefer_close_objects': 'true'}  # 优先近距离物体\n",
    "    response = requests.post(f\"{SERVER_URL}/image\", files=files, data=data)\n",
    "\n",
    "print(\"优先近距离物体:\")\n",
    "print(response.status_code)\n",
    "print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "21f15172",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "优先远距离物体:\n",
      "200\n",
      "{'detection': {'annotated_image_path': 'results/annotated_image_Up-36_1757948327.jpg', 'bbox_coordinates': {'x1': 545.3320312499999, 'x2': 560.7070312499999, 'y1': 15.254882812499998, 'y2': 33.75292968749999}, 'confidence': 0.01422882080078125, 'label': 'Up', 'original_image_path': 'results\\\\e7dcd5cf-db24-4821-9fe6-5e16412ba51c_36.png'}, 'image_id': '36', 'obstacle_id': 'unknown'}\n"
     ]
    }
   ],
   "source": [
    "# 选项2: 优先检测较远的物体（面积较小的物体）\n",
    "import requests\n",
    "\n",
    "SERVER_URL = \"http://localhost:5000\"\n",
    "image_file = \"b.png\"\n",
    "\n",
    "with open(image_file, 'rb') as f:\n",
    "    files = {'file': f}\n",
    "    data = {'prefer_close_objects': 'false'}  # 优先远距离物体\n",
    "    response = requests.post(f\"{SERVER_URL}/image\", files=files, data=data)\n",
    "\n",
    "print(\"优先远距离物体:\")\n",
    "print(response.status_code)\n",
    "print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b29a73a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "默认行为（优先近距离物体）:\n",
      "200\n",
      "{'detection': {'annotated_image_path': 'results/annotated_image_Up-36_1757948317.jpg', 'bbox_coordinates': {'x1': 545.3320312499999, 'x2': 560.7070312499999, 'y1': 15.254882812499998, 'y2': 33.75292968749999}, 'confidence': 0.01422882080078125, 'label': 'Up', 'original_image_path': 'results\\\\d0387124-696d-4233-90db-fe511ed62828_36.png'}, 'image_id': '36', 'obstacle_id': 'unknown'}\n"
     ]
    }
   ],
   "source": [
    "# 选项3: 不指定参数（使用默认行为，等同于 prefer_close_objects=true）\n",
    "import requests\n",
    "\n",
    "SERVER_URL = \"http://localhost:5000\"\n",
    "image_file = \"b.png\"\n",
    "\n",
    "with open(image_file, 'rb') as f:\n",
    "    files = {'file': f}\n",
    "    # 不添加 data 参数，使用默认行为（优先近距离物体）\n",
    "    response = requests.post(f\"{SERVER_URL}/image\", files=files)\n",
    "\n",
    "print(\"默认行为（优先近距离物体）:\")\n",
    "print(response.status_code)\n",
    "print(response.json())"
   ]
  }
 ],
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