{"id":972273,"date":"2024-12-27T05:47:13","date_gmt":"2024-12-26T21:47:13","guid":{"rendered":""},"modified":"2024-12-27T05:47:16","modified_gmt":"2024-12-26T21:47:16","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e5%9b%be%e5%83%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/972273.html","title":{"rendered":"Python\u4e2d\u5982\u4f55\u8bfb\u53d6\u56fe\u50cf"},"content":{"rendered":"

\"Python\u4e2d\u5982\u4f55\u8bfb\u53d6\u56fe\u50cf\"<\/p>\n

\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u50cf\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u51e0\u79cd\u4e0d\u540c\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528PIL\uff08Python Imaging Library\uff09\u3001OpenCV\u548cMatplotlib\u7b49\u5e93\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528PIL\u5e93\u7684Image\u6a21\u5757\u3001OpenCV\u5e93\u7684cv2\u6a21\u5757\u3001Matplotlib\u5e93\u7684pyplot\u6a21\u5757\u3002<\/strong>\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528PIL\u5e93\u7684Image\u6a21\u5757\u6765\u8bfb\u53d6\u56fe\u50cf\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

PIL\uff08Python Imaging Library\uff09\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u64cd\u4f5c\u56fe\u50cf\u3002\u8981\u8bfb\u53d6\u56fe\u50cf\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5PIL\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7Pillow\u5305\u6765\u5b9e\u73b0\u3002\u4f7f\u7528PIL\u8bfb\u53d6\u56fe\u50cf\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a\u9996\u5148\uff0c\u4f7f\u7528Image.open()<\/code>\u51fd\u6570\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0c\u8fd4\u56de\u4e00\u4e2a\u56fe\u50cf\u5bf9\u8c61\uff1b\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u56fe\u50cf\u5bf9\u8c61\u7684show()<\/code>\u65b9\u6cd5\u6765\u663e\u793a\u56fe\u50cf\uff0c\u6216\u4f7f\u7528save()<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230\u672c\u5730\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5e93<\/p>\n<\/p>\n

\u5728\u5f00\u59cb\u8bfb\u53d6\u56fe\u50cf\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\u3002\u5bf9\u4e8ePIL\uff0c\u901a\u5e38\u9700\u8981\u5b89\u88c5Pillow\uff0c\u8fd9\u662fPIL\u7684\u4e00\u4e2a\u5206\u652f\u7248\u672c\uff0c\u5177\u6709\u66f4\u597d\u7684\u517c\u5bb9\u6027\u548c\u66f4\u65b0\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5Pillow\uff1a<\/p>\n<\/p>\n

pip install pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u8be5\u5e93\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528PIL\u8bfb\u53d6\u56fe\u50cf<\/p>\n<\/p>\n
PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\u63d0\u4f9b\u4e86\u8bfb\u53d6\u548c\u5904\u7406\u56fe\u50cf\u7684\u57fa\u672c\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528PIL\u8bfb\u53d6\u56fe\u50cf\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
    \n
  1. \n
    \u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
    \u4f7f\u7528Image.open()<\/code>\u51fd\u6570\u6765\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\u3002\u8fd9\u4e2a\u51fd\u6570\u4f1a\u8fd4\u56de\u4e00\u4e2a\u56fe\u50cf\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
    image = Image.open('path\/to\/your\/image.jpg')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u91cc\uff0c\u4f60\u9700\u8981\u5c06'path\/to\/your\/image.jpg'<\/code>\u66ff\u6362\u4e3a\u5b9e\u9645\u56fe\u50cf\u6587\u4ef6\u7684\u8def\u5f84\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u663e\u793a\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
    \u6253\u5f00\u7684\u56fe\u50cf\u5bf9\u8c61\u53ef\u4ee5\u4f7f\u7528show()<\/code>\u65b9\u6cd5\u6765\u663e\u793a\u3002<\/p>\n<\/p>\n
    image.show()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u4f1a\u5728\u9ed8\u8ba4\u56fe\u50cf\u67e5\u770b\u5668\u4e2d\u6253\u5f00\u56fe\u50cf\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u83b7\u53d6\u56fe\u50cf\u4fe1\u606f<\/strong><\/p>\n<\/p>\n
    \u4f60\u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf\u5bf9\u8c61\u83b7\u53d6\u4e00\u4e9b\u57fa\u672c\u4fe1\u606f\uff0c\u6bd4\u5982\u56fe\u50cf\u683c\u5f0f\u3001\u5927\u5c0f\u548c\u6a21\u5f0f\u3002<\/p>\n<\/p>\n
    print(image.format)  # \u8f93\u51fa\u56fe\u50cf\u683c\u5f0f<\/p>\n
    print(image.size)    # \u8f93\u51fa\u56fe\u50cf\u5c3a\u5bf8<\/p>\n
    print(image.mode)    # \u8f93\u51fa\u56fe\u50cf\u6a21\u5f0f\uff08\u4f8b\u5982RGB\u3001L\u7b49\uff09<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u4e9b\u4fe1\u606f\u5bf9\u4e8e\u8fdb\u4e00\u6b65\u7684\u56fe\u50cf\u5904\u7406\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
  4. \n
    \u4fdd\u5b58\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
    \u5982\u679c\u9700\u8981\u5c06\u56fe\u50cf\u53e6\u5b58\u4e3a\u5176\u4ed6\u683c\u5f0f\u6216\u8def\u5f84\uff0c\u53ef\u4ee5\u4f7f\u7528save()<\/code>\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
    image.save('path\/to\/save\/image.png')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4f60\u53ef\u4ee5\u6307\u5b9a\u4fdd\u5b58\u7684\u8def\u5f84\u548c\u683c\u5f0f\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e09\u3001\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf<\/p>\n<\/p>\n
    OpenCV\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002\u8981\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
    pip install opencv-python<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u7136\u540e\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u8be5\u5e93\uff1a<\/p>\n<\/p>\n
    import cv2<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \n
      \u8bfb\u53d6\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528cv2.imread()<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n
      image = cv2.imread('path\/to\/your\/image.jpg')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8bfb\u53d6\u7684\u56fe\u50cf\u662f\u4e00\u4e2aNumPy\u6570\u7ec4\uff0c\u8fd9\u5bf9\u4e8e\u5904\u7406\u548c\u5206\u6790\u56fe\u50cf\u6570\u636e\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u663e\u793a\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528cv2.imshow()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5728\u7a97\u53e3\u4e2d\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n
      cv2.imshow('Image Window', image)<\/p>\n
      cv2.wAI<\/a>tKey(0)<\/p>\n
      cv2.destroyAllWindows()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      cv2.imshow()<\/code>\u51fd\u6570\u9700\u8981\u4e24\u4e2a\u53c2\u6570\uff1a\u7a97\u53e3\u540d\u79f0\u548c\u56fe\u50cf\u6570\u636e\u3002<\/p>\n<\/p>\n<\/li>\n
    3. \n
      \u83b7\u53d6\u56fe\u50cf\u4fe1\u606f<\/strong><\/p>\n<\/p>\n
      \u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf\u6570\u7ec4\u7684\u5c5e\u6027\u83b7\u53d6\u56fe\u50cf\u7684\u5927\u5c0f\u548c\u901a\u9053\u4fe1\u606f\u3002<\/p>\n<\/p>\n
      print(image.shape)  # (\u9ad8\u5ea6, \u5bbd\u5ea6, \u901a\u9053\u6570)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u5bf9\u4e8e\u56fe\u50cf\u7684\u8fdb\u4e00\u6b65\u5904\u7406\u548c\u5206\u6790\u975e\u5e38\u6709\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<\/li>\n
    4. \n
      \u4fdd\u5b58\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528cv2.imwrite()<\/code>\u51fd\u6570\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
      cv2.imwrite('path\/to\/save\/image.png', image)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      \u56db\u3001\u4f7f\u7528Matplotlib\u8bfb\u53d6\u56fe\u50cf<\/p>\n<\/p>\n
      Matplotlib\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u9664\u4e86\u7ed8\u5236\u56fe\u8868\u5916\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u663e\u793a\u56fe\u50cf\u3002\u8981\u4f7f\u7528Matplotlib\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8be5\u5e93\uff1a<\/p>\n<\/p>\n
      pip install matplotlib<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u8be5\u5e93\uff1a<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      import matplotlib.image as mpimg<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \n
        \u8bfb\u53d6\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
        \u4f7f\u7528mpimg.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        image = mpimg.imread('path\/to\/your\/image.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u4f1a\u5c06\u56fe\u50cf\u6570\u636e\u8bfb\u5165\u4e3a\u4e00\u4e2aNumPy\u6570\u7ec4\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u663e\u793a\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
        \u4f7f\u7528plt.imshow()<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n
        plt.imshow(image)<\/p>\n
        plt.axis('off')  # \u9690\u85cf\u5750\u6807\u8f74<\/p>\n
        plt.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        Matplotlib\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u9009\u9879\u6765\u81ea\u5b9a\u4e49\u56fe\u50cf\u663e\u793a\uff0c\u5305\u62ec\u6dfb\u52a0\u6807\u9898\u3001\u8c03\u6574\u989c\u8272\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
      3. \n
        \u4fdd\u5b58\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528plt.imsave()<\/code>\u51fd\u6570\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        plt.imsave('path\/to\/save\/image.png', image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4f60\u53ef\u4ee5\u6307\u5b9a\u4fdd\u5b58\u7684\u8def\u5f84\u548c\u683c\u5f0f\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
        \u8bfb\u53d6\u56fe\u50cf\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u7684\u57fa\u7840\u6b65\u9aa4\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u65e0\u8bba\u662fPIL\u3001OpenCV\u8fd8\u662fMatplotlib\uff0c\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\u3002\u9009\u62e9\u9002\u5408\u4f60\u9879\u76ee\u9700\u6c42\u7684\u5e93\uff0c\u53ef\u4ee5\u66f4\u6709\u6548\u5730\u5b8c\u6210\u56fe\u50cf\u8bfb\u53d6\u548c\u5904\u7406\u4efb\u52a1\u3002\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u5e0c\u671b\u4f60\u5bf9\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u50cf\u6709\u4e86\u66f4\u52a0\u6df1\u5165\u7684\u4e86\u89e3\uff0c\u5e76\u80fd\u591f\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u7075\u6d3b\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
         \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\uff1f<\/strong>
        Python\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u7684\u8bfb\u53d6\uff0c\u5982JPEG\u3001PNG\u548cBMP\u7b49\u3002\u8981\u8bfb\u53d6\u8fd9\u4e9b\u683c\u5f0f\u7684\u56fe\u50cf\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\uff0c\u8fd9\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\u3002\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u901a\u8fc7\u547d\u4ee4pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f7f\u7528Image.open('image_path')<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u53ef\u64cd\u4f5c\u7684\u5bf9\u8c61\u3002<\/p>\n
        \u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u8bfb\u53d6\u7684\u56fe\u50cf\u6570\u636e\uff1f<\/strong>
        \u8bfb\u53d6\u56fe\u50cf\u540e\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u5176\u8fdb\u884c\u5904\u7406\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5982\u8c03\u6574\u5927\u5c0f\u3001\u65cb\u8f6c\u3001\u88c1\u526a\u548c\u6ee4\u955c\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528image.resize((width, height))<\/code>\u6765\u8c03\u6574\u56fe\u50cf\u5927\u5c0f\uff0c\u4f7f\u7528image.rotate(angle)<\/code>\u6765\u65cb\u8f6c\u56fe\u50cf\u3002\u5904\u7406\u540e\u7684\u56fe\u50cf\u53ef\u4ee5\u901a\u8fc7image.show()<\/code>\u8fdb\u884c\u5c55\u793a\uff0c\u6216\u4f7f\u7528image.save('new_image_path')<\/code>\u4fdd\u5b58\u4e3a\u65b0\u6587\u4ef6\u3002<\/p>\n
        \u5982\u4f55\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\u5e76\u8fdb\u884c\u57fa\u672c\u64cd\u4f5c\uff1f<\/strong>
        OpenCV\u662f\u53e6\u4e00\u4e2a\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u652f\u6301\u66f4\u590d\u6742\u7684\u56fe\u50cf\u64cd\u4f5c\u3002\u8981\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5b83\uff0c\u4f7f\u7528\u547d\u4ee4pip install opencv-python<\/code>\u3002\u8bfb\u53d6\u56fe\u50cf\u53ef\u4ee5\u4f7f\u7528cv2.imread('image_path')<\/code>\u3002OpenCV\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u6bd4\u5982\u8fb9\u7f18\u68c0\u6d4b\u3001\u56fe\u50cf\u5e73\u6ed1\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7cv2.imshow('image', img)<\/code>\u6765\u663e\u793a\u56fe\u50cf\uff0c\u4f7f\u7528cv2.imwrite('new_image_path', img)<\/code>\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u50cf\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u51e0\u79cd\u4e0d\u540c\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528PIL\uff08Python Imaging Lib […]","protected":false},"author":3,"featured_media":972281,"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\/972273"}],"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=972273"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/972273\/revisions"}],"predecessor-version":[{"id":972283,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/972273\/revisions\/972283"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/972281"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=972273"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=972273"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=972273"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}