{"id":268292,"date":"2024-05-15T17:56:12","date_gmt":"2024-05-15T09:56:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/268292.html"},"modified":"2024-05-15T17:56:16","modified_gmt":"2024-05-15T09:56:16","slug":"%e5%9f%ba%e4%ba%8eopencv%e5%ae%9e%e7%8e%b0%e7%8e%af%e5%bd%a2%e7%bc%96%e7%a0%81%e7%82%b9%e8%af%86%e5%88%ab%e7%9a%84%e4%bb%a3%e7%a0%81%e6%9c%89%e5%90%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/268292.html","title":{"rendered":"\u57fa\u4e8eopencv\u5b9e\u73b0\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u4ee3\u7801\u6709\u5417"},"content":{"rendered":"

\"\u57fa\u4e8eopencv\u5b9e\u73b0\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u4ee3\u7801\u6709\u5417\"<\/p>\n

\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u901a\u5e38\u88ab\u7528\u4e8e\u673a\u5668\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u4ee5\u5b9e\u73b0\u5bf9\u5177\u6709\u7279\u5b9a\u73af\u5f62\u7f16\u7801\u6807\u8bb0\u7684\u7269\u4f53\u7684\u5b9a\u4f4d\u548c\u8bc6\u522b\u3002\u57fa\u4e8eOpenCV\u5b9e\u73b0\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u4ee3\u7801\u6d89\u53ca\u5bb9\u9519\u7f16\u7801\u8bbe\u8ba1\u3001\u56fe\u50cf\u9884\u5904\u7406\u3001\u5706\u5f62\u68c0\u6d4b\u3001\u7f16\u7801\u89e3\u6790<\/strong>\u7b49\u5173\u952e\u6b65\u9aa4\uff0c\u5e76\u9700\u8981\u5177\u5907\u4e00\u5b9a\u7684\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u77e5\u8bc6\u3002\u5728\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u65f6\uff0c\u901a\u5e38\u9700\u8981\u7ed3\u5408OpenCV\u63d0\u4f9b\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5982\u7070\u5ea6\u8f6c\u6362\u3001\u6ee4\u6ce2\u53bb\u566a\u3001\u8fb9\u7f18\u68c0\u6d4b\u3001\u970d\u592b\u53d8\u6362\u5706\u68c0\u6d4b\u4ee5\u53ca\u81ea\u5b9a\u4e49\u7684\u7f16\u7801\u8bc6\u522b\u7b97\u6cd5\u7b49\u3002<\/strong><\/p>\n<\/p>\n

\u63a5\u4e0b\u6765\u6211\u4f1a\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528OpenCV\u7f16\u5199\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u4ee3\u7801\uff0c\u5e76\u89e3\u91ca\u6bcf\u4e2a\u5173\u952e\u6b65\u9aa4\u3002\u8fd9\u4e0d\u4ec5\u4ec5\u662f\u7b80\u5355\u7684\u4ee3\u7801\u7247\u6bb5\uff0c\u800c\u662f\u5b8c\u6574\u7684\u5b9e\u73b0\u65b9\u6848\uff0c\u53ef\u4ee5\u8ba9\u4f60\u660e\u767d\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u6574\u4e2a\u6d41\u7a0b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u73af\u5883\u642d\u5efa\u4e0e\u914d\u7f6e<\/h3>\n<\/p>\n

\u5728\u8fdb\u884c\u7f16\u7801\u8bc6\u522b\u4e4b\u524d\uff0c\u9996\u5148\u8981\u786e\u4fdd\u4f60\u7684\u5f00\u53d1\u73af\u5883\u5df2\u7ecf\u5b89\u88c5\u4e86OpenCV\u5e93\u3002OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5404\u79cd\u5e38\u7528\u7b97\u6cd5\u7684\u5b9e\u73b0\u53ca\u4f18\u5316\uff0c\u5e76\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u5982Python\u3001C++\u7b49\u3002\u4f60\u53ef\u4ee5\u4eceOpenCV\u5b98\u7f51\u4e0b\u8f7d\u5e76\u5b89\u88c5\u5408\u9002\u7684\u7248\u672c\u3002<\/p>\n<\/p>\n

\u73af\u5883\u642d\u5efa\u5b8c\u6210\u540e\uff0c\u786e\u4fdd\u4f60\u7684\u5f00\u53d1\u5de5\u5177\u80fd\u6b63\u786e\u7f16\u8bd1\u548c\u8fd0\u884cOpenCV\u76f8\u5173\u4ee3\u7801\u3002\u5982\u679c\u4f7f\u7528Python,\u53ef\u4ee5\u7528pip\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u56fe\u50cf\u9884\u5904\u7406<\/h3>\n<\/p>\n
\u5728\u7f16\u7801\u8bc6\u522b\u7684\u6d41\u7a0b\u4e2d\uff0c\u56fe\u50cf\u9884\u5904\u7406\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u4e00\u6b65\u3002\u9884\u5904\u7406\u4e3b\u8981\u5305\u62ec\u7070\u5ea6\u8f6c\u6362\u3001\u6ee4\u6ce2\u53bb\u566a\u3001\u4e8c\u503c\u5316\u7b49\u57fa\u672c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
\u7070\u5ea6\u8f6c\u6362<\/strong>\u662f\u5c06\u5f69\u8272\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff0c\u8fd9\u6837\u53ef\u4ee5\u964d\u4f4e\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u4e14\u5bf9\u4e8e\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u6765\u8bf4\uff0c\u989c\u8272\u4fe1\u606f\u901a\u5e38\u4e0d\u662f\u5fc5\u987b\u7684\u3002<\/p>\n<\/p>\n
gray_image = cv2.cvtColor(input_image, cv2.COLOR_BGR2GRAY)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6ee4\u6ce2\u53bb\u566a<\/strong>\u5219\u53ef\u4ee5\u5e2e\u52a9\u53bb\u9664\u56fe\u50cf\u4e2d\u7684\u968f\u673a\u566a\u58f0\uff0c\u4f7f\u5f97\u540e\u7eed\u7684\u8fb9\u7f18\u68c0\u6d4b\u66f4\u52a0\u51c6\u786e\u3002\u5e38\u7528\u7684\u53bb\u566a\u6ee4\u6ce2\u65b9\u6cd5\u5305\u62ec\u9ad8\u65af\u6ee4\u6ce2\u3001\u4e2d\u503c\u6ee4\u6ce2\u7b49\u3002<\/p>\n<\/p>\n
denoised_image = cv2.GaussianBlur(gray_image, (5, 5), 0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u503c\u5316<\/strong>\u662f\u5c06\u7070\u5ea6\u56fe\u50cf\u8f6c\u6362\u4e3a\u9ed1\u767d\u4e8c\u503c\u56fe\u50cf\uff0c\u6b64\u6b65\u9aa4\u6709\u52a9\u4e8e\u66f4\u6e05\u6670\u5730\u5206\u8fa8\u51fa\u7f16\u7801\u70b9\u3002<\/p>\n<\/p>\n
_, binary_image = cv2.threshold(denoised_image, 127, 255, cv2.THRESH_BINARY)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5706\u5f62\u68c0\u6d4b<\/h3>\n<\/p>\n
\u73af\u5f62\u7f16\u7801\u70b9\u901a\u5e38\u5448\u5706\u5f62\uff0c\u56e0\u6b64\u6211\u4eec\u9700\u8981\u5728\u9884\u5904\u7406\u540e\u7684\u56fe\u50cf\u4e0a\u8fdb\u884c\u5706\u5f62\u68c0\u6d4b\u3002OpenCV\u901a\u8fc7\u970d\u592b\u53d8\u6362\u5b9e\u73b0\u4e86\u5706\u5f62\u7684\u68c0\u6d4b\u3002<\/p>\n<\/p>\n
\u970d\u592b\u5706\u53d8\u6362<\/strong>\u53ef\u4ee5\u8bc6\u522b\u56fe\u50cf\u4e2d\u7684\u5706\u5f62\u7ed3\u6784\u3002<\/p>\n<\/p>\n
circles = cv2.HoughCircles(denoised_image, cv2.HOUGH_GRADIENT, dp=1, minDist=10,<\/p>\n
                           param1=50, param2=30, minRadius=0, maxRadius=0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u7f16\u7801\u89e3\u6790<\/h3>\n<\/p>\n
\u5f53\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7684\u5706\u65f6\uff0c\u4e0b\u4e00\u6b65\u5c31\u662f\u8fdb\u884c\u7f16\u7801\u7684\u89e3\u6790\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u9700\u8981\u6839\u636e\u4f60\u7684\u73af\u5f62\u7f16\u7801\u89c4\u5219\u6765\u8bbe\u8ba1\u3002<\/p>\n<\/p>\n
\u901a\u5e38\u73af\u5f62\u7f16\u7801\u70b9\u4f1a\u901a\u8fc7\u5706\u73af\u4e0a\u4e0d\u540c\u7684\u70b9\u6765\u5b58\u653e\u4fe1\u606f\uff0c\u53ef\u4ee5\u4f7f\u7528\u89d2\u5ea6\u5212\u5206\u6bcf\u4e00\u4e2a\u7f16\u7801\u4f4d\uff0c\u5e76\u6839\u636e\u5b58\u5728\u6216\u7f3a\u5931\u7684\u70b9\u6765\u5224\u65ad\u7f16\u7801\u7684\u503c\u3002<\/p>\n<\/p>\n
\u81ea\u5b9a\u4e49\u7f16\u7801\u89e3\u6790\u7b97\u6cd5<\/strong>\u6839\u636e\u68c0\u6d4b\u5230\u7684\u5706\u5fc3\u548c\u534a\u5f84\u4fe1\u606f\uff0c\u62bd\u53d6\u5706\u73af\u533a\u57df\u7684\u50cf\u7d20\u70b9\uff0c\u5e76\u5c06\u8fd9\u4e9b\u70b9\u6309\u7167\u89d2\u5ea6\u5927\u5c0f\u5206\u7c7b\uff0c\u8fdb\u800c\u89e3\u6790\u7f16\u7801\u3002<\/p>\n<\/p>\n
# \u793a\u4f8b\uff1a\u63d0\u53d6\u73af\u4e0a\u67d0\u4e2a\u89d2\u5ea6\u8303\u56f4\u7684\u70b9\u6765\u5224\u65ad\u7f16\u7801\u503c\uff08\u9700\u8981\u81ea\u5b9a\u4e49\u51fd\u6570\uff09<\/p>\n
\u5047\u5b9a\u5df2\u83b7\u53d6\u6bcf\u4e2a\u5706\u7684\u5706\u5fc3(center_x, center_y)\u548c\u534a\u5f84(radius)<\/strong><\/h2>\n
code_value = custom_decode_function(binary_image, center_x, center_y, radius)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u6574\u5408\u4e0e\u8c03\u8bd5<\/h3>\n<\/p>\n
\u6700\u540e\u4e00\u6b65\u662f\u6574\u5408\u4e0a\u8ff0\u5404\u4e2a\u6a21\u5757\uff0c\u901a\u5e38\u9700\u8981\u7f16\u5199\u4e00\u4e2a\u4e3b\u51fd\u6570\u6765\u8c03\u7528\u8fd9\u4e9b\u5b50\u51fd\u6570\u3002\u540c\u65f6\uff0c\u5728\u6574\u5408\u8fc7\u7a0b\u4e2d\u9700\u8981\u8fdb\u884c\u8c03\u8bd5\uff0c\u786e\u4fdd\u6bcf\u4e2a\u73af\u8282\u90fd\u80fd\u6b63\u786e\u5de5\u4f5c\u3002<\/p>\n<\/p>\n
\u9a8c\u8bc1\u6240\u6709\u529f\u80fd\u540e\uff0c\u8c03\u6574\u76f8\u5e94\u7684\u53c2\u6570\u6765\u4f18\u5316\u8bc6\u522b\u7684\u51c6\u786e\u5ea6\u548c\u9c81\u68d2\u6027\u3002\u53ef\u80fd\u9700\u8981\u591a\u6b21\u8fed\u4ee3\uff0c\u9488\u5bf9\u4e0d\u540c\u7684\u56fe\u50cf\u548c\u73af\u5883\u6761\u4ef6\u53bb\u5fae\u8c03\u3002<\/p>\n<\/p>\n
\u7f16\u5199\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u4ee3\u7801\u65f6\uff0c\u52a1\u5fc5\u4fdd\u8bc1\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u53ef\u7ef4\u62a4\u6027<\/strong>\u3002\u6ce8\u91ca\u548c\u6587\u6863\u540c\u6837\u91cd\u8981\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u8bb0\u4f4f\u6bcf\u4e2a\u6b65\u9aa4\u7684\u4f5c\u7528\u548c\u5b9e\u73b0\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
\u7ec6\u8282\u8c03\u8bd5\u5b8c\u6210\u4e4b\u540e\uff0c\u4f60\u5c31\u53ef\u80fd\u62e5\u6709\u4e00\u4e2a\u7a33\u5b9a\u53ef\u7528\u7684\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7cfb\u7edf\u4e86\u3002\u4e0d\u8fc7\uff0c\u8bf7\u6ce8\u610f\uff0c\u8fd9\u91cc\u4ec5\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6982\u89c8\u548c\u5927\u81f4\u65b9\u5411\uff0c\u8be6\u7ec6\u7684\u5b9e\u73b0\u5219\u9700\u8981\u6839\u636e\u4f60\u7684\u5177\u4f53\u7f16\u7801\u65b9\u6848\u548c\u73af\u5883\u6761\u4ef6\u8fdb\u884c\u5b9a\u5236\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
1. \u5982\u4f55\u5728OpenCV\u4e2d\u5b9e\u73b0\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\uff1f<\/strong>
\n\u5728OpenCV\u4e2d\u5b9e\u73b0\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u4ee3\u7801\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u5b8c\u6210\uff1a<\/p>\n
    \n
  • \u4f7f\u7528OpenCV\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u52a0\u8f7d\u56fe\u50cf\u3002<\/li>\n
  • \u5bf9\u56fe\u50cf\u8fdb\u884c\u9884\u5904\u7406\uff0c\u4f8b\u5982\u7070\u5ea6\u5316\u3001\u6ee4\u6ce2\u3001\u9608\u503c\u5316\u7b49\uff0c\u4ee5\u4fbf\u4e8e\u540e\u7eed\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002<\/li>\n
  • \u4f7f\u7528\u970d\u592b\u53d8\u6362\u6765\u68c0\u6d4b\u5706\u5f62\u7684\u8fb9\u7f18\uff0c\u8fd9\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528OpenCV\u7684HoughCircles\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u6839\u636e\u73af\u5f62\u7f16\u7801\u70b9\u7684\u5927\u5c0f\u548c\u5f62\u72b6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u53c2\u6570\u6765\u4f18\u5316\u5706\u7684\u68c0\u6d4b\u7ed3\u679c\u3002<\/li>\n
  • \u5728\u68c0\u6d4b\u5230\u7684\u5706\u4e0a\u7ed8\u5236\u4e00\u4e2a\u5706\u5fc3\uff0c\u901a\u8fc7\u8ba1\u7b97\u5706\u5fc3\u7684\u5750\u6807\u5e76\u4f7f\u7528OpenCV\u7684\u7ed8\u5236\u51fd\u6570\u6765\u5b9e\u73b0\u3002<\/li>\n
  • \u6839\u636e\u5706\u5fc3\u7684\u4f4d\u7f6e\u548c\u534a\u5f84\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u83b7\u5f97\u73af\u5f62\u7f16\u7801\u70b9\u7684\u4fe1\u606f\u3002<\/li>\n<\/ul>\n
    2. OpenCV\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7684\u5e94\u7528\u573a\u666f\u6709\u54ea\u4e9b\uff1f<\/strong>
    \n\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u5728\u5f88\u591a\u9886\u57df\u4e2d\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u4f8b\u5982\uff1a<\/p>\n
      \n
    • \u5de5\u4e1a\u81ea\u52a8\u5316\uff1a\u53ef\u4ee5\u7528\u4e8e\u81ea\u52a8\u8bc6\u522b\u548c\u5b9a\u4f4d\u7269\u4f53\uff0c\u4f8b\u5982\u673a\u5668\u4eba\u89c6\u89c9\u5bfc\u822a\u3001\u7269\u4f53\u5b9a\u4f4d\u7b49\u3002<\/li>\n
    • \u673a\u5668\u4eba\u6280\u672f\uff1a\u53ef\u7528\u4e8e\u673a\u5668\u4eba\u7684\u59ff\u6001\u4f30\u8ba1\u548c\u5b9a\u4f4d\uff0c\u4f8b\u5982\u65e0\u4eba\u9a7e\u9a76\u3001\u673a\u5668\u4eba\u7684\u81ea\u52a8\u5bfc\u822a\u7b49\u3002<\/li>\n
    • \u667a\u80fd\u76d1\u63a7\uff1a\u53ef\u4ee5\u7528\u4e8e\u5b89\u9632\u9886\u57df\uff0c\u4f8b\u5982\u884c\u4eba\u8ddf\u8e2a\u3001\u76ee\u6807\u8bc6\u522b\u7b49\u3002<\/li>\n
    • OCR\uff08\u5149\u5b66\u5b57\u7b26\u8bc6\u522b\uff09\uff1a\u53ef\u4ee5\u7528\u4e8e\u6587\u5b57\u8bc6\u522b\uff0c\u4f8b\u5982\u8f66\u724c\u8bc6\u522b\u3001\u6587\u5b57\u6587\u6863\u626b\u63cf\u7b49\u3002<\/li>\n<\/ul>\n
      3. \u5982\u4f55\u4f18\u5316\u73af\u5f62\u7f16\u7801\u70b9\u7684\u8bc6\u522b\u7ed3\u679c\uff1f<\/strong>
      \n\u4e3a\u4e86\u83b7\u5f97\u66f4\u51c6\u786e\u7684\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u7ed3\u679c\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u4f18\u5316\u65b9\u6cd5\uff1a<\/p>\n
        \n
      • \u5728\u9884\u5904\u7406\u9636\u6bb5\uff0c\u91c7\u7528\u9002\u5f53\u7684\u56fe\u50cf\u6ee4\u6ce2\u6280\u672f\uff0c\u5982\u9ad8\u65af\u6ee4\u6ce2\uff0c\u4ee5\u53bb\u9664\u566a\u70b9\u548c\u5e73\u6ed1\u56fe\u50cf\u3002<\/li>\n
      • \u6839\u636e\u73af\u5f62\u7f16\u7801\u70b9\u7684\u7279\u5f81\uff0c\u8c03\u6574\u9608\u503c\u5316\u65b9\u6cd5\u3001\u9608\u503c\u503c\u548c\u9608\u503c\u5316\u7684\u53c2\u6570\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u4e8c\u503c\u5316\u7ed3\u679c\u3002<\/li>\n
      • \u5bf9\u4e8e\u591a\u4e2a\u73af\u5f62\u7f16\u7801\u70b9\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u4f7f\u7528\u5f62\u6001\u5b66\u64cd\u4f5c\u5982\u81a8\u80c0\u548c\u8150\u8680\u6765\u8fde\u63a5\u548c\u5206\u5272\u5706\u5f62\u3002<\/li>\n
      • \u5728\u970d\u592b\u53d8\u6362\u4e2d\uff0c\u8c03\u6574\u53c2\u6570\u5982\u970d\u592b\u5706\u5fc3\u68c0\u6d4b\u7684\u6700\u5c0f\u8ddd\u79bb\u3001\u5706\u5fc3\u534a\u5f84\u7684\u8303\u56f4\u7b49\uff0c\u4ee5\u9002\u5e94\u4e0d\u540c\u73af\u5f62\u7f16\u7801\u70b9\u7684\u5927\u5c0f\u548c\u5f62\u72b6\u3002<\/li>\n
      • \u4f7f\u7528\u591a\u4e2a\u5c3a\u5bf8\u7684\u6a21\u677f\u8fdb\u884c\u5339\u914d\uff0c\u4ee5\u63d0\u9ad8\u73af\u5f62\u7f16\u7801\u70b9\u7684\u68c0\u6d4b\u7387\u548c\u51c6\u786e\u6027\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"\u73af\u5f62\u7f16\u7801\u70b9\u8bc6\u522b\u901a\u5e38\u88ab\u7528\u4e8e\u673a\u5668\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u4ee5\u5b9e\u73b0\u5bf9\u5177\u6709\u7279\u5b9a\u73af\u5f62\u7f16\u7801\u6807\u8bb0\u7684\u7269\u4f53\u7684\u5b9a\u4f4d\u548c\u8bc6\u522b\u3002\u57fa\u4e8eOpenC […]","protected":false},"author":3,"featured_media":268293,"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\/268292"}],"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=268292"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/268292\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/268293"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=268292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=268292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=268292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}