{"id":1178475,"date":"2025-01-15T18:11:35","date_gmt":"2025-01-15T10:11:35","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1178475.html"},"modified":"2025-01-15T18:11:38","modified_gmt":"2025-01-15T10:11:38","slug":"%e5%a6%82%e4%bd%95%e6%9f%a5%e7%9c%8bpython%e4%b8%8bopencv%e7%89%88%e6%9c%ac","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1178475.html","title":{"rendered":"\u5982\u4f55\u67e5\u770bpython\u4e0bopencv\u7248\u672c"},"content":{"rendered":"

\"\u5982\u4f55\u67e5\u770bpython\u4e0bopencv\u7248\u672c\"<\/p>\n

\u8981\u67e5\u770bPython\u4e0b\u7684OpenCV\u7248\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\uff1a\u4f7f\u7528\u547d\u4ee4\u884c\u67e5\u8be2\u3001\u5728Python\u811a\u672c\u4e2d\u67e5\u8be2<\/strong>\u3002\u8fd9\u4e24\u79cd\u65b9\u6cd5\u90fd\u5f88\u65b9\u4fbf\uff0c\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u5373\u5728Python\u811a\u672c\u4e2d\u67e5\u8be2\u3002<\/p>\n<\/p>\n

\u5728Python\u811a\u672c\u4e2d\u67e5\u8be2<\/strong><\/p>\n<\/p>\n

\u5728Python\u811a\u672c\u4e2d\u67e5\u8be2OpenCV\u7684\u7248\u672c\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86OpenCV\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
print(cv2.__version__)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u9996\u5148\u5bfc\u5165\u4e86OpenCV\u5e93\uff0c\u7136\u540e\u4f7f\u7528cv2.__version__<\/code>\u6765\u83b7\u53d6\u5e76\u6253\u5370\u51faOpenCV\u7684\u7248\u672c\u53f7\u3002\u6267\u884c\u8fd9\u6bb5\u4ee3\u7801\u540e\uff0c\u4f60\u5c06\u5728\u63a7\u5236\u53f0\u770b\u5230OpenCV\u7684\u7248\u672c\u53f7\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
4.5.3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u65b9\u4fbf\uff0c\u9002\u7528\u4e8e\u5728Python\u811a\u672c\u4e2d\u9700\u8981\u786e\u8ba4OpenCV\u7248\u672c\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\n
\u4e00\u3001\u4f7f\u7528\u547d\u4ee4\u884c\u67e5\u8be2<\/h2>\n<\/p>\n
\u5728\u547d\u4ee4\u884c\u4e2d\u67e5\u8be2OpenCV\u7684\u7248\u672c\u4e5f\u662f\u4e00\u79cd\u975e\u5e38\u65b9\u4fbf\u7684\u65b9\u6cd5\u3002\u4f60\u53ef\u4ee5\u76f4\u63a5\u5728\u547d\u4ee4\u884c\u754c\u9762\u8f93\u5165Python\u547d\u4ee4\u6765\u83b7\u53d6\u7248\u672c\u4fe1\u606f\u3002<\/p>\n<\/p>\n
1.1 \u4f7f\u7528Python\u89e3\u91ca\u5668\u67e5\u8be2<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u5728\u547d\u4ee4\u884c\u4e2d\u542f\u52a8Python\u89e3\u91ca\u5668\uff0c\u7136\u540e\u8f93\u5165\u76f8\u5173\u547d\u4ee4\u6765\u67e5\u770bOpenCV\u7248\u672c\u3002\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
    \n
  1. \u6253\u5f00\u547d\u4ee4\u884c\u754c\u9762\u3002<\/li>\n
  2. \u542f\u52a8Python\u89e3\u91ca\u5668\uff0c\u8f93\u5165\u547d\u4ee4\uff1a\n
    python<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  3. \u5728Python\u89e3\u91ca\u5668\u4e2d\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a\n
    import cv2<\/p>\n
    print(cv2.__version__)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
     \u6267\u884c\u8fd9\u6bb5\u4ee3\u7801\u540e\uff0c\u4f60\u5c06\u770b\u5230OpenCV\u7684\u7248\u672c\u53f7\u3002<\/li>\n<\/p>\n<\/ol>\n
    1.2 \u4f7f\u7528\u5355\u884c\u547d\u4ee4\u67e5\u8be2<\/h3>\n<\/p>\n
    \u5982\u679c\u4f60\u4e0d\u60f3\u8fdb\u5165Python\u89e3\u91ca\u5668\uff0c\u53ef\u4ee5\u4f7f\u7528\u5355\u884c\u547d\u4ee4\u76f4\u63a5\u5728\u547d\u4ee4\u884c\u4e2d\u67e5\u8be2OpenCV\u7248\u672c\u3002\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
    python -c "import cv2; print(cv2.__version__)"<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6761\u547d\u4ee4\u4f1a\u542f\u52a8Python\u89e3\u91ca\u5668\uff0c\u6267\u884c\u5bfc\u5165OpenCV\u5e93\u548c\u6253\u5370\u7248\u672c\u53f7\u7684\u64cd\u4f5c\uff0c\u7136\u540e\u9000\u51fa\u89e3\u91ca\u5668\u3002\u5728\u547d\u4ee4\u884c\u754c\u9762\u4e2d\uff0c\u4f60\u5c06\u770b\u5230OpenCV\u7684\u7248\u672c\u53f7\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001\u68c0\u67e5\u5b89\u88c5\u8def\u5f84\u548c\u4f9d\u8d56<\/h2>\n<\/p>\n
    \u9664\u4e86\u67e5\u770b\u7248\u672c\u53f7\u5916\uff0c\u6709\u65f6\u4f60\u8fd8\u53ef\u80fd\u9700\u8981\u68c0\u67e5OpenCV\u7684\u5b89\u88c5\u8def\u5f84\u548c\u4f9d\u8d56\u5e93\u3002\u8fd9\u4e9b\u4fe1\u606f\u5bf9\u8c03\u8bd5\u548c\u4f18\u5316\u4ee3\u7801\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
    2.1 \u68c0\u67e5\u5b89\u88c5\u8def\u5f84<\/h3>\n<\/p>\n
    \u8981\u68c0\u67e5OpenCV\u5e93\u7684\u5b89\u88c5\u8def\u5f84\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
    import cv2<\/p>\n
    print(cv2.__file__)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6bb5\u4ee3\u7801\u4f1a\u8f93\u51faOpenCV\u5e93\u7684\u5b89\u88c5\u8def\u5f84\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    \/usr\/local\/lib\/python3.8\/dist-packages\/cv2\/cv2.so<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u4e2a\u8def\u5f84\u6307\u793a\u4e86OpenCV\u5e93\u5728\u4f60\u7684\u7cfb\u7edf\u4e2d\u7684\u5177\u4f53\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
    2.2 \u68c0\u67e5\u4f9d\u8d56\u5e93<\/h3>\n<\/p>\n
    OpenCV\u4f9d\u8d56\u4e8e\u591a\u4e2a\u5916\u90e8\u5e93\u6765\u5b9e\u73b0\u5176\u529f\u80fd\u3002\u8981\u67e5\u770bOpenCV\u4f9d\u8d56\u7684\u5e93\u548c\u7248\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
    import cv2<\/p>\n
    print(cv2.getBuildInformation())<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6bb5\u4ee3\u7801\u4f1a\u8f93\u51faOpenCV\u7684\u6784\u5efa\u4fe1\u606f\uff0c\u5305\u62ec\u4f9d\u8d56\u5e93\u53ca\u5176\u7248\u672c\u53f7\u3002\u8fd9\u4e9b\u4fe1\u606f\u5bf9\u4e8e\u89e3\u51b3\u4f9d\u8d56\u51b2\u7a81\u548c\u4f18\u5316\u6027\u80fd\u975e\u5e38\u6709\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
    \u4e09\u3001\u66f4\u65b0OpenCV\u7248\u672c<\/h2>\n<\/p>\n
    \u6709\u65f6\u4f60\u53ef\u80fd\u9700\u8981\u66f4\u65b0OpenCV\u7248\u672c\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u529f\u80fd\u548c\u4fee\u590d\u3002\u66f4\u65b0OpenCV\u7248\u672c\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u6765\u5b8c\u6210\u3002<\/p>\n<\/p>\n
    3.1 \u4f7f\u7528pip\u547d\u4ee4\u66f4\u65b0<\/h3>\n<\/p>\n
    \u8981\u66f4\u65b0OpenCV\u7248\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
    pip install --upgrade opencv-python<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u4e2a\u547d\u4ee4\u4f1a\u4ecePython\u5305\u7ba1\u7406\u5668\u4e2d\u4e0b\u8f7d\u5e76\u5b89\u88c5\u6700\u65b0\u7248\u672c\u7684OpenCV\u5e93\u3002<\/p>\n<\/p>\n
    3.2 \u6307\u5b9a\u7248\u672c\u5b89\u88c5<\/h3>\n<\/p>\n
    \u5982\u679c\u4f60\u9700\u8981\u5b89\u88c5\u7279\u5b9a\u7248\u672c\u7684OpenCV\uff0c\u53ef\u4ee5\u5728pip\u547d\u4ee4\u4e2d\u6307\u5b9a\u7248\u672c\u53f7\u3002\u4f8b\u5982\uff0c\u8981\u5b89\u88c54.5.3\u7248\u672c\u7684OpenCV\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
    pip install opencv-python==4.5.3<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6761\u547d\u4ee4\u4f1a\u4e0b\u8f7d\u5e76\u5b89\u88c5\u6307\u5b9a\u7248\u672c\u7684OpenCV\u5e93\u3002<\/p>\n<\/p>\n
    \u56db\u3001\u89e3\u51b3\u5b89\u88c5\u548c\u7248\u672c\u95ee\u9898<\/h2>\n<\/p>\n
    \u5728\u5b89\u88c5\u548c\u4f7f\u7528OpenCV\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
    4.1 \u5b89\u88c5\u5931\u8d25\u95ee\u9898<\/h3>\n<\/p>\n
    \u5728\u5b89\u88c5OpenCV\u65f6\uff0c\u5982\u679c\u9047\u5230\u5b89\u88c5\u5931\u8d25\u7684\u95ee\u9898\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
      \n
    1. \u68c0\u67e5\u7f51\u7edc\u8fde\u63a5<\/strong>\uff1a\u786e\u4fdd\u4f60\u7684\u7f51\u7edc\u8fde\u63a5\u6b63\u5e38\uff0c\u56e0\u4e3apip\u547d\u4ee4\u9700\u8981\u4ece\u4e92\u8054\u7f51\u4e0b\u8f7d\u5305\u3002<\/li>\n
    2. \u5347\u7ea7pip<\/strong>\uff1a\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5347\u7ea7pip\u5230\u6700\u65b0\u7248\u672c\uff1a\n
      pip install --upgrade pip<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    3. \u4f7f\u7528\u56fd\u5185\u955c\u50cf\u6e90<\/strong>\uff1a\u5982\u679c\u4e0b\u8f7d\u901f\u5ea6\u8fc7\u6162\uff0c\u53ef\u4ee5\u4f7f\u7528\u56fd\u5185\u7684\u955c\u50cf\u6e90\uff0c\u4f8b\u5982\uff1a\n
      pip install opencv-python -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      4.2 \u7248\u672c\u51b2\u7a81\u95ee\u9898<\/h3>\n<\/p>\n
      \u5728\u4f7f\u7528OpenCV\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7248\u672c\u51b2\u7a81\u7684\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u67d0\u4e9b\u529f\u80fd\u5728\u4e0d\u540c\u7248\u672c\u4e2d\u6709\u6240\u53d8\u5316\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
        \n
      1. \u521b\u5efa\u865a\u62df\u73af\u5883<\/strong>\uff1a\u4f7f\u7528Python\u7684\u865a\u62df\u73af\u5883\u6765\u9694\u79bb\u4e0d\u540c\u9879\u76ee\u7684\u4f9d\u8d56\u3002\u521b\u5efa\u865a\u62df\u73af\u5883\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a\n
        python -m venv myenv<\/p>\n
        source myenv\/bin\/activate  # \u5728Linux\u6216macOS\u4e0a<\/p>\n
        myenv\\Scripts\\activate.bat  # \u5728Windows\u4e0a<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \u6307\u5b9a\u7248\u672c\u5b89\u88c5<\/strong>\uff1a\u5728\u865a\u62df\u73af\u5883\u4e2d\uff0c\u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5\u7279\u5b9a\u7248\u672c\u7684OpenCV\u3002<\/li>\n<\/ol>\n
        \u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u89e3\u51b3\u5b89\u88c5\u548c\u7248\u672c\u51b2\u7a81\u95ee\u9898\uff0c\u786e\u4fdd\u4f60\u7684OpenCV\u9879\u76ee\u987a\u5229\u8fdb\u884c\u3002<\/p>\n<\/p>\n
        \u4e94\u3001OpenCV\u7684\u5e38\u89c1\u529f\u80fd\u548c\u5e94\u7528<\/h2>\n<\/p>\n
        OpenCV\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3001\u89c6\u9891\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u9886\u57df\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684OpenCV\u529f\u80fd\u548c\u5e94\u7528\u3002<\/p>\n<\/p>\n
        5.1 \u56fe\u50cf\u5904\u7406<\/h3>\n<\/p>\n
        OpenCV\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u8bfb\u53d6\u3001\u663e\u793a\u3001\u8f6c\u6362\u548c\u6ee4\u6ce2\u7b49\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
          \n
        1. \u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/strong>\uff1a\n
          import cv2<\/p>\n
          img = cv2.imread('image.jpg')<\/p>\n
          cv2.imshow('Image', img)<\/p>\n
          cv2.wAI<\/a>tKey(0)<\/p>\n
          cv2.destroyAllWindows()<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \u56fe\u50cf\u8f6c\u6362<\/strong>\uff1a\n
          gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        3. \u56fe\u50cf\u6ee4\u6ce2<\/strong>\uff1a\n
          blurred = cv2.GaussianBlur(img, (5, 5), 0)<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
          5.2 \u89c6\u9891\u5206\u6790<\/h3>\n<\/p>\n
          OpenCV\u8fd8\u652f\u6301\u89c6\u9891\u5206\u6790\u529f\u80fd\uff0c\u5305\u62ec\u89c6\u9891\u8bfb\u53d6\u3001\u64ad\u653e\u548c\u5904\u7406\u7b49\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u89c6\u9891\u5206\u6790\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
            \n
          1. \u8bfb\u53d6\u548c\u64ad\u653e\u89c6\u9891<\/strong>\uff1a\n
            cap = cv2.VideoCapture('video.mp4')<\/p>\n
            while cap.isOpened():<\/p>\n
                ret, frame = cap.read()<\/p>\n
                if not ret:<\/p>\n
                    break<\/p>\n
                cv2.imshow('Frame', frame)<\/p>\n
                if cv2.waitKey(25) & 0xFF == ord('q'):<\/p>\n
                    break<\/p>\n
            cap.release()<\/p>\n
            cv2.destroyAllWindows()<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n
          2. \u89c6\u9891\u5e27\u5904\u7406<\/strong>\uff1a\n
            while cap.isOpened():<\/p>\n
                ret, frame = cap.read()<\/p>\n
                if not ret:<\/p>\n
                    break<\/p>\n
                gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)<\/p>\n
                cv2.imshow('Gray Frame', gray_frame)<\/p>\n
                if cv2.waitKey(25) & 0xFF == ord('q'):<\/p>\n
                    break<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
            5.3 \u673a\u5668\u5b66\u4e60<\/h3>\n<\/p>\n
            OpenCV\u8fd8\u96c6\u6210\u4e86\u673a\u5668\u5b66\u4e60\u6a21\u5757\uff0c\u53ef\u4ee5\u7528\u4e8e\u5bf9\u8c61\u68c0\u6d4b\u3001\u56fe\u50cf\u5206\u7c7b\u548c\u7279\u5f81\u63d0\u53d6\u7b49\u5e94\u7528\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
              \n
            1. \u5bf9\u8c61\u68c0\u6d4b<\/strong>\uff1a\n
              face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')<\/p>\n
              faces = face_cascade.detectMultiScale(gray, 1.3, 5)<\/p>\n
              for (x, y, w, h) in faces:<\/p>\n
                  cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n
            2. \u56fe\u50cf\u5206\u7c7b<\/strong>\uff1a\n
              net = cv2.dnn.readNetFromCaffe('deploy.prototxt', 'res10_300x300_ssd_iter_140000.caffemodel')<\/p>\n
              blob = cv2.dnn.blobFromImage(img, 1.0, (300, 300), (104.0, 177.0, 123.0))<\/p>\n
              net.setInput(blob)<\/p>\n
              detections = net.forward()<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
              \u516d\u3001OpenCV\u4e0e\u5176\u4ed6\u5e93\u7684\u96c6\u6210<\/h2>\n<\/p>\n
              OpenCV\u53ef\u4ee5\u4e0e\u5176\u4ed6Python\u5e93\u96c6\u6210\uff0c\u8fdb\u4e00\u6b65\u589e\u5f3a\u5176\u529f\u80fd\u3002\u4f8b\u5982\uff0cOpenCV\u53ef\u4ee5\u4e0eNumPy\u3001Matplotlib\u548cTensorFlow\u7b49\u5e93\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u548c\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002<\/p>\n<\/p>\n
              6.1 \u4e0eNumPy\u7684\u96c6\u6210<\/h3>\n<\/p>\n
              NumPy\u662fPython\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u4e0eOpenCV\u4e00\u8d77\u4f7f\u7528\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u77e9\u9635\u64cd\u4f5c\u548c\u6570\u503c\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u96c6\u6210\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
                \n
              1. \u8f6c\u6362\u56fe\u50cf\u4e3aNumPy\u6570\u7ec4<\/strong>\uff1a\n
                import numpy as np<\/p>\n
                img_array = np.array(img)<\/p>\n
                <\/code><\/pre>\n<\/p>\n<\/li>\n
              2. \u4f7f\u7528NumPy\u8fdb\u884c\u56fe\u50cf\u5904\u7406<\/strong>\uff1a\n
                img_array = img_array \/ 255.0  # \u5f52\u4e00\u5316<\/p>\n
                mean = np.mean(img_array, axis=(0, 1))  # \u8ba1\u7b97\u5747\u503c<\/p>\n
                <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                6.2 \u4e0eMatplotlib\u7684\u96c6\u6210<\/h3>\n<\/p>\n
                Matplotlib\u662fPython\u7684\u7ed8\u56fe\u5e93\uff0c\u4e0eOpenCV\u4e00\u8d77\u4f7f\u7528\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u56fe\u50cf\u53ef\u89c6\u5316\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u96c6\u6210\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528Matplotlib\u663e\u793a\u56fe\u50cf<\/strong>\uff1a\n
                  import matplotlib.pyplot as plt<\/p>\n
                  plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))<\/p>\n
                  plt.show()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n<\/li>\n
                2. \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u56fe\u5f62<\/strong>\uff1a\n
                  plt.figure()<\/p>\n
                  plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))<\/p>\n
                  plt.scatter([100, 200], [150, 250], color='red')<\/p>\n
                  plt.show()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                  6.3 \u4e0eTensorFlow\u7684\u96c6\u6210<\/h3>\n<\/p>\n
                  TensorFlow\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u4e0eOpenCV\u4e00\u8d77\u4f7f\u7528\u53ef\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u7ea7\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u96c6\u6210\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
                    \n
                  1. \u52a0\u8f7dTensorFlow\u6a21\u578b<\/strong>\uff1a\n
                    import tensorflow as tf<\/p>\n
                    model = tf.keras.models.load_model('model.h5')<\/p>\n
                    <\/code><\/pre>\n<\/p>\n<\/li>\n
                  2. \u4f7f\u7528OpenCV\u9884\u5904\u7406\u56fe\u50cf\u5e76\u8fdb\u884c\u9884\u6d4b<\/strong>\uff1a\n
                    img_resized = cv2.resize(img, (224, 224))<\/p>\n
                    img_array = np.expand_dims(img_resized, axis=0)<\/p>\n
                    predictions = model.predict(img_array)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                    \u4e03\u3001OpenCV\u7684\u9ad8\u7ea7\u529f\u80fd<\/h2>\n<\/p>\n
                    \u9664\u4e86\u57fa\u672c\u529f\u80fd\u5916\uff0cOpenCV\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff0c\u7528\u4e8e\u89e3\u51b3\u66f4\u590d\u6742\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002\u8fd9\u4e9b\u529f\u80fd\u5305\u62ec\u56fe\u50cf\u5206\u5272\u3001\u7279\u5f81\u68c0\u6d4b\u548c\u8ddf\u8e2a\u7b49\u3002<\/p>\n<\/p>\n
                    7.1 \u56fe\u50cf\u5206\u5272<\/h3>\n<\/p>\n
                    \u56fe\u50cf\u5206\u5272\u662f\u5c06\u56fe\u50cf\u5206\u5272\u6210\u591a\u4e2a\u90e8\u5206\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u5206\u6790\u548c\u5904\u7406\u3002OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5206\u5272\u7b97\u6cd5\uff0c\u4f8b\u5982\u9608\u503c\u5206\u5272\u3001\u8fb9\u7f18\u68c0\u6d4b\u548c\u8f6e\u5ed3\u68c0\u6d4b\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u9608\u503c\u5206\u5272<\/strong>\uff1a\n
                      _, binary = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)<\/p>\n
                      cv2.imshow('Binary Image', binary)<\/p>\n
                      cv2.waitKey(0)<\/p>\n
                      cv2.destroyAllWindows()<\/p>\n
                      <\/code><\/pre>\n<\/p>\n<\/li>\n
                    2. \u8fb9\u7f18\u68c0\u6d4b<\/strong>\uff1a\n
                      edges = cv2.Canny(gray, 100, 200)<\/p>\n
                      cv2.imshow('Edges', edges)<\/p>\n
                      cv2.waitKey(0)<\/p>\n
                      cv2.destroyAllWindows()<\/p>\n
                      <\/code><\/pre>\n<\/p>\n<\/li>\n
                    3. \u8f6e\u5ed3\u68c0\u6d4b<\/strong>\uff1a\n
                      contours, _ = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)<\/p>\n
                      cv2.drawContours(img, contours, -1, (0, 255, 0), 2)<\/p>\n
                      cv2.imshow('Contours', img)<\/p>\n
                      cv2.waitKey(0)<\/p>\n
                      cv2.destroyAllWindows()<\/p>\n
                      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                      7.2 \u7279\u5f81\u68c0\u6d4b<\/h3>\n<\/p>\n
                      \u7279\u5f81\u68c0\u6d4b\u7528\u4e8e\u8bc6\u522b\u56fe\u50cf\u4e2d\u7684\u5173\u952e\u70b9\u548c\u7279\u5f81\uff0c\u5e38\u7528\u4e8e\u56fe\u50cf\u5339\u914d\u548c\u7269\u4f53\u8bc6\u522b\u3002OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u7279\u5f81\u68c0\u6d4b\u7b97\u6cd5\uff0c\u4f8b\u5982SIFT\u3001SURF\u548cORB\u3002<\/p>\n<\/p>\n
                        \n
                      1. SIFT\u7279\u5f81\u68c0\u6d4b<\/strong>\uff1a\n
                        sift = cv2.SIFT_create()<\/p>\n
                        keypoints, descriptors = sift.detectAndCompute(gray, None)<\/p>\n
                        img_sift = cv2.drawKeypoints(img, keypoints, None, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)<\/p>\n
                        cv2.imshow('SIFT Keypoints', img_sift)<\/p>\n
                        cv2.waitKey(0)<\/p>\n
                        cv2.destroyAllWindows()<\/p>\n
                        <\/code><\/pre>\n<\/p>\n<\/li>\n
                      2. ORB\u7279\u5f81\u68c0\u6d4b<\/strong>\uff1a\n
                        orb = cv2.ORB_create()<\/p>\n
                        keypoints, descriptors = orb.detectAndCompute(gray, None)<\/p>\n
                        img_orb = cv2.drawKeypoints(img, keypoints, None, color=(0, 255, 0))<\/p>\n
                        cv2.imshow('ORB Keypoints', img_orb)<\/p>\n
                        cv2.waitKey(0)<\/p>\n
                        cv2.destroyAllWindows()<\/p>\n
                        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                        7.3 \u7269\u4f53\u8ddf\u8e2a<\/h3>\n<\/p>\n
                        \u7269\u4f53\u8ddf\u8e2a\u7528\u4e8e\u5728\u89c6\u9891\u4e2d\u8ddf\u8e2a\u79fb\u52a8\u7684\u7269\u4f53\uff0c\u5e38\u7528\u4e8e\u76d1\u63a7\u548c\u8fd0\u52a8\u5206\u6790\u3002OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u7269\u4f53\u8ddf\u8e2a\u7b97\u6cd5\uff0c\u4f8b\u5982KLT\u8ddf\u8e2a\u3001Meanshift\u548cCamshift\u3002<\/p>\n<\/p>\n
                          \n
                        1. KLT\u8ddf\u8e2a<\/strong>\uff1a\n
                          lk_params = dict(winSize=(15, 15), maxLevel=2, criteria=(cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03))<\/p>\n
                          p0 = cv2.goodFeaturesToTrack(gray, mask=None, feature_params)<\/p>\n
                          p1, st, err = cv2.calcOpticalFlowPyrLK(old_gray, gray, p0, None, lk_params)<\/p>\n
                          <\/code><\/pre>\n<\/p>\n<\/li>\n
                        2. Meanshift\u8ddf\u8e2a<\/strong>\uff1a\n
                          ret, track_window = cv2.meanShift(prob_image, track_window, term_crit)<\/p>\n
                          x, y, w, h = track_window<\/p>\n
                          img2 = cv2.rectangle(img, (x, y), (x + w, y + h), 255, 2)<\/p>\n
                          cv2.imshow('Meanshift Tracking', img2)<\/p>\n
                          cv2.waitKey(0)<\/p>\n
                          cv2.destroyAllWindows()<\/p>\n
                          <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                          \u516b\u3001OpenCV\u7684\u6027\u80fd\u4f18\u5316<\/h2>\n<\/p>\n
                          \u5728\u5904\u7406\u5927\u89c4\u6a21\u56fe\u50cf\u548c\u89c6\u9891\u6570\u636e\u65f6\uff0c\u6027\u80fd\u4f18\u5316\u975e\u5e38\u91cd\u8981\u3002OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u6027\u80fd\u4f18\u5316\u6280\u672f\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/p>\n<\/p>\n
                          8.1 \u5e76\u884c\u8ba1\u7b97<\/h3>\n<\/p>\n
                          OpenCV\u652f\u6301\u591a\u7ebf\u7a0b\u548c\u5e76\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u5229\u7528\u591a\u6838CPU\u548cGPU\u6765\u52a0\u901f\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e76\u884c\u8ba1\u7b97\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
                            \n
                          1. \u591a\u7ebf\u7a0b\u5904\u7406<\/strong>\uff1a\n
                            import threading<\/p>\n
                            def process_frame(frame):<\/p>\n
                                # \u5904\u7406\u5e27\u7684\u4ee3\u7801<\/p>\n
                                pass<\/p>\n
                            threads = []<\/p>\n
                            for frame in frames:<\/p>\n
                                t = threading.Thread(target=process_frame, args=(frame,))<\/p>\n
                                t.start()<\/p>\n
                                threads.append(t)<\/p>\n
                            for t in threads:<\/p>\n
                                t.join()<\/p>\n
                            <\/code><\/pre>\n<\/p>\n<\/li>\n
                          2. GPU\u52a0\u901f<\/strong>\uff1a\n
                            import cv2.cuda<\/p>\n
                            img_gpu = cv2.cuda_GpuMat()<\/p>\n
                            img_gpu.upload(img)<\/p>\n
                            edges_gpu = cv2.cuda.canny(img_gpu, 100, 200)<\/p>\n
                            edges = edges_gpu.download()<\/p>\n
                            <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                            8.2 \u5185\u5b58\u4f18\u5316<\/h3>\n<\/p>\n
                            \u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u5185\u5b58\u4f18\u5316\u540c\u6837\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5185\u5b58\u4f18\u5316\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
                              \n
                            1. \u4f7f\u7528\u5185\u5b58\u6620\u5c04<\/strong>\uff1a\n
                              import numpy as np<\/p>\n
                              img_mmap = np.memmap('image.dat', dtype='uint8', mode='r', shape=(height, width, channels))<\/p>\n
                              <\/code><\/pre>\n<\/p>\n<\/li>\n
                            2. \u51cf\u5c11\u6570\u636e\u590d\u5236<\/strong>\uff1a\n
                              def process_image(img):<\/p>\n
                                  # \u5904\u7406\u56fe\u50cf\u7684\u4ee3\u7801<\/p>\n
                                  return img<\/p>\n
                              img = process_image(img)  # \u907f\u514d\u4e0d\u5fc5\u8981\u7684\u590d\u5236<\/p>\n
                              <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                              \u4e5d\u3001OpenCV\u7684\u6269\u5c55\u5e93<\/h2>\n<\/p>\n
                              OpenCV\u6709\u8bb8\u591a\u6269\u5c55\u5e93\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u589e\u5f3a\u5176\u529f\u80fd\u3002\u8fd9\u4e9b\u6269\u5c55\u5e93\u6db5\u76d6\u4e86\u4e0d\u540c\u9886\u57df\u7684\u5e94\u7528\uff0c\u4f8b\u5982\u6df1\u5ea6\u5b66\u4e60\u3001\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u3002<\/p>\n<\/p>\n
                              9.1 OpenCV Contrib<\/h3>\n<\/p>\n
                              OpenCV Contrib\u662fOpenCV\u7684\u6269\u5c55\u6a21\u5757\uff0c\u5305\u542b\u4e86\u8bb8\u591a\u5b9e\u9a8c\u6027\u548c\u989d\u5916\u7684\u529f\u80fd\u6a21\u5757\u3002\u8981\u5b89\u88c5OpenCV Contrib\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
                              pip install opencv-contrib-python<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u5b89\u88c5OpenCV Contrib\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u66f4\u591a\u7684\u529f\u80fd\u6a21\u5757\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                                \n
                              1. \u4eba\u8138\u8bc6\u522b\u6a21\u5757<\/strong>\uff1a\n
                                recognizer = cv2.face.LBPHFaceRecognizer_create()<\/p>\n
                                recognizer.train(images, labels)<\/p>\n
                                <\/code><\/pre>\n<\/p>\n<\/li>\n
                              2. \u6587\u672c\u68c0\u6d4b\u6a21\u5757<\/strong>\uff1a\n
                                text_detector = cv2.text.TextDetectorCNN_create('textbox.prototxt', 'textbox.caffemodel')<\/p>\n
                                boxes, scores = text_detector.detect(img)<\/p>\n
                                <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
                                9.2 Dlib\u5e93<\/h3>\n<\/p>\n
                                Dlib\u662f\u4e00\u4e2a\u73b0\u4ee3C++\u5de5\u5177\u5305\uff0c\u7528\u4e8e\u5b9e\u73b0\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u8ba1\u7b97\u673a<\/p>\n<\/p>\n
                                \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                 \u5982\u4f55\u786e\u8ba4\u6211\u5b89\u88c5\u7684OpenCV\u662f\u5426\u4e0ePython\u517c\u5bb9\uff1f<\/strong>
                                \u8981\u786e\u8ba4OpenCV\u4e0ePython\u7684\u517c\u5bb9\u6027\uff0c\u53ef\u4ee5\u67e5\u770bOpenCV\u7684\u5b98\u65b9\u6587\u6863\uff0c\u4e86\u89e3\u652f\u6301\u7684Python\u7248\u672c\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u5728\u7ec8\u7aef\u6216\u547d\u4ee4\u63d0\u793a\u7b26\u4e2d\u8fd0\u884c pip show opencv-python<\/code> \u547d\u4ee4\uff0c\u4ee5\u83b7\u53d6\u5df2\u5b89\u88c5\u7684OpenCV\u7248\u672c\u4fe1\u606f\uff0c\u5e76\u4e0ePython\u7684\u7248\u672c\u8fdb\u884c\u6bd4\u5bf9\u3002<\/p>\n
                                \u5728Windows\u548cLinux\u73af\u5883\u4e2d\uff0c\u5982\u4f55\u67e5\u770bOpenCV\u7684\u7248\u672c\uff1f<\/strong>
                                \u5728Windows\u548cLinux\u73af\u5883\u4e2d\uff0c\u6253\u5f00\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\uff0c\u8f93\u5165\u4ee5\u4e0bPython\u4ee3\u7801\uff1a  <\/p>\n
                                import cv2\nprint(cv2.__version__)\n<\/code><\/pre>\n
                                \u8fd9\u6bb5\u4ee3\u7801\u5c06\u8fd4\u56de\u5f53\u524d\u5b89\u88c5\u7684OpenCV\u7248\u672c\u3002\u786e\u4fdd\u5728\u8fd0\u884c\u4e4b\u524d\u5df2\u5b89\u88c5OpenCV\u5e93\u3002<\/p>\n
                                \u5982\u679c\u6211\u53d1\u73b0OpenCV\u7684\u7248\u672c\u4e0d\u6b63\u786e\uff0c\u8be5\u5982\u4f55\u66f4\u65b0\uff1f<\/strong>
                                \u66f4\u65b0OpenCV\u975e\u5e38\u7b80\u5355\u3002\u5728\u547d\u4ee4\u884c\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a  <\/p>\n
                                pip install --upgrade opencv-python\n<\/code><\/pre>\n
                                \u6b64\u547d\u4ee4\u5c06\u68c0\u67e5\u6700\u65b0\u7248\u672c\u5e76\u8fdb\u884c\u66f4\u65b0\u3002\u5982\u679c\u9700\u8981\u7279\u5b9a\u7248\u672c\uff0c\u53ef\u4ee5\u6307\u5b9a\u7248\u672c\u53f7\uff0c\u4f8b\u5982 opencv-python==4.5.1<\/code>\u3002\u5728\u66f4\u65b0\u540e\uff0c\u91cd\u65b0\u8fd0\u884c\u67e5\u770b\u7248\u672c\u7684\u4ee3\u7801\uff0c\u786e\u8ba4\u66f4\u65b0\u6210\u529f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u67e5\u770bPython\u4e0b\u7684OpenCV\u7248\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\uff1a\u4f7f\u7528\u547d\u4ee4\u884c\u67e5\u8be2\u3001\u5728Python\u811a\u672c\u4e2d\u67e5\u8be2\u3002\u8fd9\u4e24\u79cd\u65b9\u6cd5 […]","protected":false},"author":3,"featured_media":1178483,"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\/1178475"}],"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=1178475"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1178475\/revisions"}],"predecessor-version":[{"id":1178485,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1178475\/revisions\/1178485"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1178483"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1178475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1178475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1178475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}