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   "execution_count": 1,
   "id": "f1614722-84e7-4494-87ec-3a36867fd694",
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   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import shutil\n",
    "\n",
    "def classify_images_by_brightness(directory):\n",
    "    brightness_dict = {}\n",
    "    \n",
    "    # 遍历文件夹中的每个图像\n",
    "    for filename in os.listdir(directory):\n",
    "        if filename.endswith(\".jpg\") or filename.endswith(\".png\"):\n",
    "            # 读取图像\n",
    "            img = cv2.imread(os.path.join(directory, filename))\n",
    "            if img is not None:\n",
    "                # 计算图像的平均亮度\n",
    "                avg_brightness = np.average(img)\n",
    "                brightness_dict[filename] = avg_brightness\n",
    "    \n",
    "    # 将图像按亮度排序\n",
    "    sorted_images = sorted(brightness_dict.items(), key=lambda item: item[1])\n",
    "    \n",
    "    # 创建子文件夹\n",
    "    if not os.path.exists(directory + '/low'):\n",
    "        os.makedirs(directory + '/low')\n",
    "    if not os.path.exists(directory + '/medium'):\n",
    "        os.makedirs(directory + '/medium')\n",
    "    if not os.path.exists(directory + '/high'):\n",
    "        os.makedirs(directory + '/high')\n",
    "    \n",
    "    # 将图像归类到对应的子文件夹\n",
    "    for i in range(len(sorted_images)):\n",
    "        if i < len(sorted_images) / 3:\n",
    "            shutil.move(directory + '/' + sorted_images[i][0], directory + '/low/' + sorted_images[i][0])\n",
    "        elif i < 2 * len(sorted_images) / 3:\n",
    "            shutil.move(directory + '/' + sorted_images[i][0], directory + '/medium/' + sorted_images[i][0])\n",
    "        else:\n",
    "            shutil.move(directory + '/' + sorted_images[i][0], directory + '/high/' + sorted_images[i][0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fbd8f248-6c31-4842-a18f-c73e77f5cc9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "classify_images_by_brightness('928\\\\humansubd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b7fa525-ce8c-4b2b-a4a6-b5751cb53873",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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