{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2023-10-16T12:19:47.212910600Z",
     "start_time": "2023-10-16T12:19:47.129804500Z"
    }
   },
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "# 读取图像\n",
    "image = cv2.imread(\"QR.png\")\n",
    "\n",
    "# 将图像转换为灰度图像\n",
    "gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 显示灰度图像\n",
    "cv2.imshow(\"Gray Image\", gray_image)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-16T12:22:46.953510800Z",
     "start_time": "2023-10-16T12:21:49.911626400Z"
    }
   },
   "id": "9cdf4af283159d8c"
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "# 使用PIL库（Pillow）灰度化\n",
    "\n",
    "from PIL import Image\n",
    "import os\n",
    "\n",
    "# 图片所在文件夹路径\n",
    "folder_path = 'makeQR/QR'\n",
    "# 保存灰度图像的目标文件夹路径\n",
    "save_folder_path = 'makeQR/grayQR'\n",
    "\n",
    "# 获取文件夹中所有图像文件的路径\n",
    "image_paths = [os.path.join(folder_path, filename) for filename in os.listdir(folder_path) if filename.endswith(('.jpg', '.jpeg', '.png'))]\n",
    "\n",
    "# 批量灰度化处理并保存\n",
    "for image_path in image_paths:\n",
    "    # 打开图像文件\n",
    "    image = Image.open(image_path)\n",
    "\n",
    "    # 将图像转换为灰度图像\n",
    "    gray_image = image.convert('L')\n",
    "\n",
    "    # 确定保存的文件名\n",
    "    filename = os.path.basename(image_path)\n",
    "    save_filename = 'gray_' + filename\n",
    "    save_path = os.path.join(save_folder_path, save_filename)\n",
    "\n",
    "    # 保存灰度图像\n",
    "    gray_image.save(save_path)\n",
    "\n",
    "    # # 显示灰度图像（可选）\n",
    "    # gray_image.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T05:25:15.732943300Z",
     "start_time": "2023-10-18T05:25:15.450801700Z"
    }
   },
   "id": "dab65fd87672a96e"
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:\\Waste\\QRgray\\0.jpg\n",
      "D:\\Waste\\QRgray\\1.jpg\n",
      "D:\\Waste\\QRgray\\10.jpg\n",
      "D:\\Waste\\QRgray\\11.jpg\n",
      "D:\\Waste\\QRgray\\12.jpg\n",
      "D:\\Waste\\QRgray\\13.jpg\n",
      "D:\\Waste\\QRgray\\14.jpg\n",
      "D:\\Waste\\QRgray\\15.jpg\n",
      "D:\\Waste\\QRgray\\16.jpg\n",
      "D:\\Waste\\QRgray\\17.jpg\n",
      "D:\\Waste\\QRgray\\18.jpg\n",
      "D:\\Waste\\QRgray\\19.jpg\n",
      "D:\\Waste\\QRgray\\2.jpg\n",
      "D:\\Waste\\QRgray\\20.jpg\n",
      "D:\\Waste\\QRgray\\21.jpg\n",
      "D:\\Waste\\QRgray\\21.png\n",
      "D:\\Waste\\QRgray\\22.jpg\n",
      "D:\\Waste\\QRgray\\22.png\n",
      "D:\\Waste\\QRgray\\23.jpg\n",
      "D:\\Waste\\QRgray\\23.png\n",
      "D:\\Waste\\QRgray\\24.jpg\n",
      "D:\\Waste\\QRgray\\24.png\n",
      "D:\\Waste\\QRgray\\25.jpg\n",
      "D:\\Waste\\QRgray\\25.png\n",
      "D:\\Waste\\QRgray\\26.jpg\n",
      "D:\\Waste\\QRgray\\27.jpg\n",
      "D:\\Waste\\QRgray\\28.jpg\n",
      "D:\\Waste\\QRgray\\29.jpg\n",
      "D:\\Waste\\QRgray\\3.jpg\n",
      "D:\\Waste\\QRgray\\4.jpg\n",
      "D:\\Waste\\QRgray\\5.jpg\n",
      "D:\\Waste\\QRgray\\6.jpg\n",
      "D:\\Waste\\QRgray\\7.jpg\n",
      "D:\\Waste\\QRgray\\8.jpg\n",
      "D:\\Waste\\QRgray\\9.jpg\n",
      "D:\\Waste\\QRgray\\QR0.jpg\n",
      "D:\\Waste\\QRgray\\QR1.jpg\n",
      "D:\\Waste\\QRgray\\QR10.jpg\n",
      "D:\\Waste\\QRgray\\QR11.jpg\n",
      "D:\\Waste\\QRgray\\QR12.jpg\n",
      "D:\\Waste\\QRgray\\QR13.jpg\n",
      "D:\\Waste\\QRgray\\QR14.jpg\n",
      "D:\\Waste\\QRgray\\QR15.jpg\n",
      "D:\\Waste\\QRgray\\QR16.jpg\n",
      "D:\\Waste\\QRgray\\QR17.jpg\n",
      "D:\\Waste\\QRgray\\QR18.jpg\n",
      "D:\\Waste\\QRgray\\QR19.jpg\n",
      "D:\\Waste\\QRgray\\QR2.jpg\n",
      "D:\\Waste\\QRgray\\QR20.jpg\n",
      "D:\\Waste\\QRgray\\QR21.jpg\n",
      "D:\\Waste\\QRgray\\QR22.jpg\n",
      "D:\\Waste\\QRgray\\QR23.jpg\n",
      "D:\\Waste\\QRgray\\QR24.jpg\n",
      "D:\\Waste\\QRgray\\QR25.jpg\n",
      "D:\\Waste\\QRgray\\QR26.jpg\n",
      "D:\\Waste\\QRgray\\QR27.jpg\n",
      "D:\\Waste\\QRgray\\QR28.jpg\n",
      "D:\\Waste\\QRgray\\QR29.jpg\n",
      "D:\\Waste\\QRgray\\QR3.jpg\n",
      "D:\\Waste\\QRgray\\QR4.jpg\n",
      "D:\\Waste\\QRgray\\QR5.jpg\n",
      "D:\\Waste\\QRgray\\QR6.jpg\n",
      "D:\\Waste\\QRgray\\QR7.jpg\n",
      "D:\\Waste\\QRgray\\QR8.jpg\n",
      "D:\\Waste\\QRgray\\QR9.jpg\n",
      "D:\\Waste\\QRgray\\tft_0.png\n",
      "D:\\Waste\\QRgray\\tft_1.png\n",
      "D:\\Waste\\QRgray\\tft_10.png\n",
      "D:\\Waste\\QRgray\\tft_11.png\n",
      "D:\\Waste\\QRgray\\tft_12.png\n",
      "D:\\Waste\\QRgray\\tft_13.png\n",
      "D:\\Waste\\QRgray\\tft_14.png\n",
      "D:\\Waste\\QRgray\\tft_15.png\n",
      "D:\\Waste\\QRgray\\tft_16.png\n",
      "D:\\Waste\\QRgray\\tft_17.png\n",
      "D:\\Waste\\QRgray\\tft_18.png\n",
      "D:\\Waste\\QRgray\\tft_19.png\n",
      "D:\\Waste\\QRgray\\tft_2.png\n",
      "D:\\Waste\\QRgray\\tft_20.png\n",
      "D:\\Waste\\QRgray\\tft_3.png\n",
      "D:\\Waste\\QRgray\\tft_4.png\n",
      "D:\\Waste\\QRgray\\tft_5.png\n",
      "D:\\Waste\\QRgray\\tft_6.png\n",
      "D:\\Waste\\QRgray\\tft_7.png\n",
      "D:\\Waste\\QRgray\\tft_8.png\n",
      "D:\\Waste\\QRgray\\tft_9.png\n",
      "D:\\Waste\\QRgray\\weixin001.jpg\n"
     ]
    }
   ],
   "source": [
    "# 使用opencv灰度化\n",
    "import cv2\n",
    "import os\n",
    "\n",
    "# 图片所在文件夹路径\n",
    "folder_path = r'D:\\Waste\\QRgray'\n",
    "# 保存灰度图像的目标文件夹路径\n",
    "save_folder_path = r'D:\\Waste\\1'\n",
    "\n",
    "# 获取文件夹中所有图像文件的路径\n",
    "image_paths = [os.path.join(folder_path, filename) for filename in os.listdir(folder_path) if filename.endswith(('.jpg', '.jpeg', '.png'))]\n",
    "\n",
    "# 批量灰度化处理并保存\n",
    "for image_path in image_paths:\n",
    "    # 读取图像\n",
    "    print(image_path)\n",
    "    image = cv2.imread(image_path)\n",
    "\n",
    "    # 将图像转换为灰度图像\n",
    "    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    # 确定保存的文件名\n",
    "    filename = os.path.basename(image_path)\n",
    "    save_filename = 'gray_' + filename\n",
    "    save_path = os.path.join(save_folder_path, save_filename)\n",
    "\n",
    "    # 保存灰度图像\n",
    "    cv2.imwrite(save_path, gray_image)\n",
    "\n",
    "    # # 显示灰度图像（可选）\n",
    "    # cv2.imshow('Gray Image', gray_image)\n",
    "    # cv2.waitKey(0)\n",
    "    # cv2.destroyAllWindows()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-19T01:58:35.284872800Z",
     "start_time": "2023-10-19T01:58:33.196237500Z"
    }
   },
   "id": "6f1bbc4682e42a8"
  }
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