{"id":1112701,"date":"2025-01-08T17:41:04","date_gmt":"2025-01-08T09:41:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1112701.html"},"modified":"2025-01-08T17:41:07","modified_gmt":"2025-01-08T09:41:07","slug":"python%e5%a6%82%e4%bd%95%e8%ae%a1%e7%ae%97%e6%89%80%e6%9c%89%e5%83%8f%e7%b4%a0%e6%95%b0%e7%9b%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1112701.html","title":{"rendered":"python\u5982\u4f55\u8ba1\u7b97\u6240\u6709\u50cf\u7d20\u6570\u76ee"},"content":{"rendered":"

\"python\u5982\u4f55\u8ba1\u7b97\u6240\u6709\u50cf\u7d20\u6570\u76ee\"<\/p>\n

Python\u5982\u4f55\u8ba1\u7b97\u6240\u6709\u50cf\u7d20\u6570\u76ee<\/strong><\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u8ba1\u7b97\u56fe\u50cf\u7684\u6240\u6709\u50cf\u7d20\u6570\u76ee\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u4f8b\u5982OpenCV\u3001PIL\uff08Pillow\uff09\u548cscikit-image\u3002 \u4f7f\u7528\u8fd9\u4e9b\u5e93\u8bfb\u53d6\u56fe\u50cf\u3001\u83b7\u53d6\u56fe\u50cf\u5c3a\u5bf8\u3001\u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u4e0d\u540c\u7684\u5e93\u6765\u8ba1\u7b97\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528OpenCV\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee<\/h3>\n<\/p>\n

OpenCV\uff08Open Source Computer Vision Library\uff09\u662f\u4e00\u4e2a\u5f00\u6e90\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u5bf9\u56fe\u50cf\u548c\u89c6\u9891\u5904\u7406\u7684\u5e7f\u6cdb\u652f\u6301\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528OpenCV\u8ba1\u7b97\u56fe\u50cf\u50cf\u7d20\u6570\u76ee\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

    \n
  1. \u5bfc\u5165OpenCV\u5e93\u3002<\/li>\n
  2. \u8bfb\u53d6\u56fe\u50cf\u3002<\/li>\n
  3. \u83b7\u53d6\u56fe\u50cf\u7684\u5c3a\u5bf8\uff08\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff09\u3002<\/li>\n
  4. \u8ba1\u7b97\u50cf\u7d20\u603b\u6570\u3002<\/li>\n<\/ol>\n

    import cv2<\/p>\n
    \u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
    image = cv2.imread('path_to_image.jpg')<\/p>\n
    \u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6<\/strong><\/h2>\n
    height, width, channels = image.shape<\/p>\n
    \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
    total_pixels = height * width<\/p>\n
    print(f'\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528PIL\uff08Pillow\uff09\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee<\/h3>\n<\/p>\n
    Pillow\u662fPython Imaging Library\uff08PIL\uff09\u7684\u4e00\u4e2a\u53cb\u597d\u5206\u652f\uff0c\u662fPython\u4e2d\u5904\u7406\u56fe\u50cf\u7684\u4e00\u4e2a\u5e38\u7528\u5e93\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Pillow\u8ba1\u7b97\u56fe\u50cf\u50cf\u7d20\u6570\u76ee\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
      \n
    1. \u5bfc\u5165PIL\u5e93\u3002<\/li>\n
    2. \u6253\u5f00\u56fe\u50cf\u3002<\/li>\n
    3. \u83b7\u53d6\u56fe\u50cf\u7684\u5c3a\u5bf8\uff08\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff09\u3002<\/li>\n
    4. \u8ba1\u7b97\u50cf\u7d20\u603b\u6570\u3002<\/li>\n<\/ol>\n
      from PIL import Image<\/p>\n
      \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
      image = Image.open('path_to_image.jpg')<\/p>\n
      \u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n
      width, height = image.size<\/p>\n
      \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
      total_pixels = width * height<\/p>\n
      print(f'\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e09\u3001\u4f7f\u7528scikit-image\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee<\/h3>\n<\/p>\n
      scikit-image\u662f\u4e00\u4e2a\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684Python\u5e93\uff0c\u57fa\u4e8eNumPy\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528scikit-image\u8ba1\u7b97\u56fe\u50cf\u50cf\u7d20\u6570\u76ee\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
        \n
      1. \u5bfc\u5165scikit-image\u5e93\u3002<\/li>\n
      2. \u8bfb\u53d6\u56fe\u50cf\u3002<\/li>\n
      3. \u83b7\u53d6\u56fe\u50cf\u7684\u5c3a\u5bf8\uff08\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff09\u3002<\/li>\n
      4. \u8ba1\u7b97\u50cf\u7d20\u603b\u6570\u3002<\/li>\n<\/ol>\n
        from skimage import io<\/p>\n
        \u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
        image = io.imread('path_to_image.jpg')<\/p>\n
        \u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6<\/strong><\/h2>\n
        height, width = image.shape[:2]<\/p>\n
        \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
        total_pixels = height * width<\/p>\n
        print(f'\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u56db\u3001\u8ba1\u7b97\u591a\u901a\u9053\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u76ee<\/h3>\n<\/p>\n
        \u5bf9\u4e8e\u591a\u901a\u9053\u56fe\u50cf\uff08\u5982RGB\u56fe\u50cf\uff09\uff0c\u6bcf\u4e2a\u901a\u9053\u7684\u50cf\u7d20\u6570\u76ee\u53ef\u80fd\u4e00\u81f4\uff0c\u4f46\u6709\u65f6\u9700\u8981\u5bf9\u6bcf\u4e2a\u901a\u9053\u8fdb\u884c\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u5206\u522b\u8ba1\u7b97\u6bcf\u4e2a\u901a\u9053\u7684\u50cf\u7d20\u6570\u76ee\uff1a<\/p>\n<\/p>\n
        import cv2<\/p>\n
        \u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
        image = cv2.imread('path_to_image.jpg')<\/p>\n
        \u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u3001\u5bbd\u5ea6\u548c\u901a\u9053\u6570<\/strong><\/h2>\n
        height, width, channels = image.shape<\/p>\n
        \u8ba1\u7b97\u6bcf\u4e2a\u901a\u9053\u7684\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
        pixels_per_channel = height * width<\/p>\n
        print(f'\u6bcf\u4e2a\u901a\u9053\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{pixels_per_channel}')<\/p>\n
        print(f'\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{pixels_per_channel * channels}')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e94\u3001\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf<\/h3>\n<\/p>\n
        \u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\uff08\u5982PNG\u3001JPG\u3001BMP\u7b49\uff09\u5728\u8bfb\u53d6\u548c\u5904\u7406\u65f6\u53ef\u80fd\u6709\u4e0d\u540c\u7684\u8981\u6c42\u3002\u786e\u4fdd\u4f7f\u7528\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5\u6765\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n
        \u5904\u7406PNG\u56fe\u50cf<\/h4>\n<\/p>\n
        from PIL import Image<\/p>\n
        \u6253\u5f00PNG\u56fe\u50cf<\/strong><\/h2>\n
        image = Image.open('path_to_image.png')<\/p>\n
        \u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n
        width, height = image.size<\/p>\n
        \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
        total_pixels = width * height<\/p>\n
        print(f'PNG\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5904\u7406BMP\u56fe\u50cf<\/h4>\n<\/p>\n
        import cv2<\/p>\n
        \u8bfb\u53d6BMP\u56fe\u50cf<\/strong><\/h2>\n
        image = cv2.imread('path_to_image.bmp')<\/p>\n
        \u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6<\/strong><\/h2>\n
        height, width, channels = image.shape<\/p>\n
        \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
        total_pixels = height * width<\/p>\n
        print(f'BMP\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u516d\u3001\u5904\u7406\u7070\u5ea6\u56fe\u50cf<\/h3>\n<\/p>\n
        \u7070\u5ea6\u56fe\u50cf\u53ea\u6709\u4e00\u4e2a\u901a\u9053\uff0c\u56e0\u6b64\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee\u76f8\u5bf9\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u5904\u7406\u7070\u5ea6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
        import cv2<\/p>\n
        \u8bfb\u53d6\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n
        image = cv2.imread('path_to_image.jpg', cv2.IMREAD_GRAYSCALE)<\/p>\n
        \u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6<\/strong><\/h2>\n
        height, width = image.shape<\/p>\n
        \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
        total_pixels = height * width<\/p>\n
        print(f'\u7070\u5ea6\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e03\u3001\u5904\u7406\u5927\u5c3a\u5bf8\u56fe\u50cf<\/h3>\n<\/p>\n
        \u5bf9\u4e8e\u5927\u5c3a\u5bf8\u56fe\u50cf\uff0c\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee\u53ef\u80fd\u4f1a\u5360\u7528\u8f83\u591a\u5185\u5b58\u3002\u53ef\u4ee5\u4f7f\u7528\u6d41\u5904\u7406\uff08stream processing\uff09\u7684\u65b9\u6cd5\u9010\u6b65\u5904\u7406\u56fe\u50cf\uff0c\u907f\u514d\u4e00\u6b21\u6027\u52a0\u8f7d\u6574\u4e2a\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
        from PIL import Image<\/p>\n
        \u6253\u5f00\u5927\u5c3a\u5bf8\u56fe\u50cf<\/strong><\/h2>\n
        image = Image.open('path_to_large_image.jpg')<\/p>\n
        \u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n
        width, height = image.size<\/p>\n
        \u8ba1\u7b97\u50cf\u7d20\u603b\u6570<\/strong><\/h2>\n
        total_pixels = width * height<\/p>\n
        print(f'\u5927\u5c3a\u5bf8\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u4e3a\uff1a{total_pixels}')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
        \u5728Python\u4e2d\uff0c\u4f7f\u7528OpenCV\u3001PIL\uff08Pillow\uff09\u548cscikit-image\u5e93\u8ba1\u7b97\u56fe\u50cf\u7684\u6240\u6709\u50cf\u7d20\u6570\u76ee<\/strong>\u662f\u975e\u5e38\u65b9\u4fbf\u7684\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\u3002\u901a\u8fc7\u83b7\u53d6\u56fe\u50cf\u7684\u5c3a\u5bf8\uff08\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff09\uff0c\u53ef\u4ee5\u8f7b\u677e\u8ba1\u7b97\u56fe\u50cf\u7684\u50cf\u7d20\u603b\u6570\u3002\u5bf9\u4e8e\u4e0d\u540c\u683c\u5f0f\u548c\u7c7b\u578b\u7684\u56fe\u50cf\uff0c\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5\u8fdb\u884c\u5904\u7406\u3002\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u5e0c\u671b\u4f60\u80fd\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u5904\u7406\u56fe\u50cf\u5e76\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee\u3002<\/p>\n<\/p>\n
        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
         \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u4ee5\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee\uff1f<\/strong>
        \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\u3002\u7136\u540e\uff0c\u5229\u7528Image.open()<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0c\u518d\u901a\u8fc7size<\/code>\u5c5e\u6027\u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u6700\u540e\u4e58\u4ee5\u8fd9\u4e24\u4e2a\u503c\u5373\u53ef\u5f97\u5230\u50cf\u7d20\u603b\u6570\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
        from PIL import Image\n\nimage = Image.open('image.jpg')\nwidth, height = image.size\ntotal_pixels = width * height\nprint("\u603b\u50cf\u7d20\u6570\u76ee:", total_pixels)\n<\/code><\/pre>\n
        \u5982\u4f55\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\u4ee5\u786e\u4fdd\u8ba1\u7b97\u51c6\u786e\uff1f<\/strong>
        \u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\uff08\u5982JPEG\u3001PNG\u3001BMP\u7b49\uff09\u53ef\u80fd\u5177\u6709\u4e0d\u540c\u7684\u7f16\u7801\u548c\u538b\u7f29\u65b9\u5f0f\u3002\u4f7f\u7528Pillow\u5e93\u65f6\uff0c\u5b83\u4f1a\u81ea\u52a8\u5904\u7406\u5404\u79cd\u683c\u5f0f\u3002\u786e\u4fdd\u5728\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee\u65f6\u6253\u5f00\u6b63\u786e\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u907f\u514d\u56e0\u56fe\u50cf\u635f\u574f\u6216\u683c\u5f0f\u4e0d\u652f\u6301\u800c\u5bfc\u81f4\u7684\u9519\u8bef\u3002\u5728\u5904\u7406\u900f\u660e\u6216\u591a\u901a\u9053\u56fe\u50cf\u65f6\uff0c\u4e5f\u8981\u8003\u8651\u901a\u9053\u7684\u6570\u91cf\u3002<\/p>\n
        \u5728\u8ba1\u7b97\u50cf\u7d20\u6570\u76ee\u65f6\uff0c\u5982\u4f55\u5904\u7406\u56fe\u50cf\u7684\u7f29\u653e\u548c\u88c1\u526a\uff1f<\/strong>
        \u5982\u679c\u9700\u8981\u8ba1\u7b97\u7f29\u653e\u6216\u88c1\u526a\u540e\u7684\u56fe\u50cf\u50cf\u7d20\u6570\u76ee\uff0c\u53ef\u4ee5\u5148\u5bf9\u56fe\u50cf\u8fdb\u884c\u76f8\u5e94\u7684\u64cd\u4f5c\u3002\u4f7f\u7528Pillow\u5e93\u4e2d\u7684resize()<\/code>\u548ccrop()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u8c03\u6574\u56fe\u50cf\u7684\u5c3a\u5bf8\u6216\u88c1\u526a\u7279\u5b9a\u533a\u57df\u3002\u5904\u7406\u540e\u518d\u8c03\u7528size<\/code>\u5c5e\u6027\u83b7\u53d6\u65b0\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u4ece\u800c\u8ba1\u7b97\u65b0\u7684\u50cf\u7d20\u603b\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n
        # \u88c1\u526a\u793a\u4f8b\ncropped_image = image.crop((left, upper, right, lower))\nwidth, height = cropped_image.size\ntotal_pixels = width * height\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"Python\u5982\u4f55\u8ba1\u7b97\u6240\u6709\u50cf\u7d20\u6570\u76ee \u5728Python\u4e2d\uff0c\u8ba1\u7b97\u56fe\u50cf\u7684\u6240\u6709\u50cf\u7d20\u6570\u76ee\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u4f8b\u5982Ope […]","protected":false},"author":3,"featured_media":1112709,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1112701"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1112701"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1112701\/revisions"}],"predecessor-version":[{"id":1112713,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1112701\/revisions\/1112713"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1112709"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1112701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1112701"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1112701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}