{"id":949879,"date":"2024-12-27T00:18:26","date_gmt":"2024-12-26T16:18:26","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/949879.html"},"modified":"2024-12-27T00:18:28","modified_gmt":"2024-12-26T16:18:28","slug":"opencv%e5%a6%82%e4%bd%95%e7%94%a8python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/949879.html","title":{"rendered":"opencv\u5982\u4f55\u7528python"},"content":{"rendered":"

\"opencv\u5982\u4f55\u7528python\"<\/p>\n

\u4f7f\u7528Python\u8fdb\u884cOpenCV\u7f16\u7a0b\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u4e00\u9879\u91cd\u8981\u6280\u80fd\u3002OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5f00\u6e90\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u3001Python\u662f\u4e00\u4e2a\u6613\u4e8e\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u7ed3\u5408OpenCV\u53ef\u4ee5\u5b9e\u73b0\u5f88\u591a\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u5982\u56fe\u50cf\u5904\u7406\u3001\u7279\u5f81\u68c0\u6d4b\u3001\u5bf9\u8c61\u8bc6\u522b\u7b49<\/strong>\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u4ece\u5b89\u88c5OpenCV\u5f00\u59cb\uff0c\u9010\u6b65\u63a2\u7d22\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528OpenCV\u8fdb\u884c\u5404\u79cd\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u548c\u914d\u7f6e\u73af\u5883<\/p>\n<\/p>\n

\u8981\u5728Python\u4e2d\u4f7f\u7528OpenCV\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\u3002\u901a\u5e38\uff0c\u4f7f\u7528Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u53ef\u4ee5\u8f7b\u677e\u5b8c\u6210\u8fd9\u4e00\u4efb\u52a1\u3002\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u5df2\u7ecf\u8bbe\u7f6e\u597d\uff0c\u63a5\u4e0b\u6765\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install opencv-python<\/p>\n
pip install opencv-python-headless  # \u5982\u679c\u4f60\u4e0d\u9700\u8981GUI\u529f\u80fd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u6210\u529f\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165cv2\u6a21\u5757\u6765\u9a8c\u8bc1OpenCV\u662f\u5426\u5b89\u88c5\u6b63\u786e\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
print(cv2.__version__)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u6ca1\u6709\u9519\u8bef\uff0c\u5e76\u4e14\u663e\u793a\u4e86\u7248\u672c\u53f7\uff0c\u8bf4\u660eOpenCV\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<\/p>\n
\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u662fOpenCV\u7684\u57fa\u7840\u64cd\u4f5c<\/strong>\u3002\u4f7f\u7528OpenCV\u7684cv2.imread()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u56fe\u50cf\uff0c\u800c\u4f7f\u7528cv2.imshow()<\/code>\u51fd\u6570\u53ef\u4ee5\u663e\u793a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = cv2.imread('example.jpg')<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
cv2.imshow('Display window', image)<\/p>\n
cv2.wAI<\/a>tKey(0)  # \u6309\u952e\u540e\u5173\u95ed\u7a97\u53e3<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56fe\u50cf\u8bfb\u53d6\u540e\u662f\u4e00\u4e2aNumPy\u6570\u7ec4\uff0c\u53ef\u4ee5\u5bf9\u5176\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u56fe\u50cf\u5904\u7406\u57fa\u7840<\/p>\n<\/p>\n
\u56fe\u50cf\u5904\u7406\u662fOpenCV\u7684\u6838\u5fc3\u529f\u80fd\u4e4b\u4e00<\/strong>\u3002\u5e38\u89c1\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u5305\u62ec\u8c03\u6574\u5927\u5c0f\u3001\u65cb\u8f6c\u3001\u88c1\u526a\u3001\u989c\u8272\u8f6c\u6362\u7b49\u3002<\/p>\n<\/p>\n
    \n
  1. \u8c03\u6574\u56fe\u50cf\u5927\u5c0f<\/strong><\/li>\n<\/ol>\n
    \u4f7f\u7528cv2.resize()<\/code>\u51fd\u6570\u53ef\u4ee5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\uff1a<\/p>\n<\/p>\n
    resized_image = cv2.resize(image, (width, height))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u65cb\u8f6c\u56fe\u50cf<\/strong><\/li>\n<\/ol>\n
      \u4f7f\u7528OpenCV\u65cb\u8f6c\u56fe\u50cf\u53ef\u4ee5\u901a\u8fc7\u4eff\u5c04\u53d8\u6362\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
      (h, w) = image.shape[:2]<\/p>\n
      center = (w \/\/ 2, h \/\/ 2)<\/p>\n
      M = cv2.getRotationMatrix2D(center, angle, scale)<\/p>\n
      rotated_image = cv2.warpAffine(image, M, (w, h))<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u989c\u8272\u8f6c\u6362<\/strong><\/li>\n<\/ol>\n
        OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u989c\u8272\u7a7a\u95f4\u8f6c\u6362\u529f\u80fd\uff0c\u4f8b\u5982\u4eceBGR\u5230\u7070\u5ea6\uff1a<\/p>\n<\/p>\n
        gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u56db\u3001\u56fe\u50cf\u6ee4\u6ce2\u4e0e\u8fb9\u7f18\u68c0\u6d4b<\/p>\n<\/p>\n
        \u56fe\u50cf\u6ee4\u6ce2\u548c\u8fb9\u7f18\u68c0\u6d4b\u662f\u56fe\u50cf\u5904\u7406\u4e2d\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u5e38\u7528\u4e8e\u56fe\u50cf\u589e\u5f3a\u548c\u7279\u5f81\u63d0\u53d6\u3002<\/p>\n<\/p>\n
          \n
        1. \u56fe\u50cf\u6ee4\u6ce2<\/strong><\/li>\n<\/ol>\n
          OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u6ee4\u6ce2\u5668\uff0c\u5982\u9ad8\u65af\u6ee4\u6ce2\u3001\u4e2d\u503c\u6ee4\u6ce2\u7b49\uff1a<\/p>\n<\/p>\n
          blurred_image = cv2.GaussianBlur(image, (5, 5), 0)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u8fb9\u7f18\u68c0\u6d4b<\/strong><\/li>\n<\/ol>\n
            Canny\u8fb9\u7f18\u68c0\u6d4b\u662fOpenCV\u4e2d\u5e38\u7528\u7684\u8fb9\u7f18\u68c0\u6d4b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
            edges = cv2.Canny(image, threshold1, threshold2)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u4e94\u3001\u56fe\u50cf\u7279\u5f81\u68c0\u6d4b<\/p>\n<\/p>\n
            \u7279\u5f81\u68c0\u6d4b\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u626e\u6f14\u7740\u91cd\u8981\u7684\u89d2\u8272<\/strong>\uff0c\u5e38\u7528\u4e8e\u5bf9\u8c61\u8bc6\u522b\u3001\u56fe\u50cf\u5339\u914d\u7b49\u3002<\/p>\n<\/p>\n
              \n
            1. ORB\u7279\u5f81\u68c0\u6d4b<\/strong><\/li>\n<\/ol>\n
              ORB\u662f\u4e00\u79cd\u5feb\u901f\u7684\u7279\u5f81\u68c0\u6d4b\u548c\u63cf\u8ff0\u7b97\u6cd5\uff1a<\/p>\n<\/p>\n
              orb = cv2.ORB_create()<\/p>\n
              keypoints, descriptors = orb.detectAndCompute(image, None)<\/p>\n
              image_with_keypoints = cv2.drawKeypoints(image, keypoints, None, color=(0, 255, 0), flags=0)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. SIFT\u7279\u5f81\u68c0\u6d4b<\/strong><\/li>\n<\/ol>\n
                SIFT\u662f\u53e6\u4e00\u79cd\u6d41\u884c\u7684\u7279\u5f81\u68c0\u6d4b\u7b97\u6cd5\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cSIFT\u5728\u67d0\u4e9bOpenCV\u7248\u672c\u4e2d\u9700\u8981\u4e13\u95e8\u542f\u7528\uff1a<\/p>\n<\/p>\n
                sift = cv2.SIFT_create()<\/p>\n
                keypoints, descriptors = sift.detectAndCompute(image, None)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u516d\u3001\u5bf9\u8c61\u68c0\u6d4b\u4e0e\u8ddf\u8e2a<\/p>\n<\/p>\n
                \u5bf9\u8c61\u68c0\u6d4b\u548c\u8ddf\u8e2a\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u9ad8\u7ea7\u5e94\u7528\uff0cOpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u5de5\u5177\u6765\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4eba\u8138\u68c0\u6d4b<\/strong><\/li>\n<\/ol>\n
                  OpenCV\u7684Haar\u7ea7\u8054\u5206\u7c7b\u5668\u53ef\u4ee5\u7528\u4e8e\u4eba\u8138\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n
                  face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')<\/p>\n
                  gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
                  faces = face_cascade.detectMultiScale(gray, 1.1, 4)<\/p>\n
                  for (x, y, w, h) in faces:<\/p>\n
                      cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u80cc\u666f\u51cf\u9664<\/strong><\/li>\n<\/ol>\n
                    \u80cc\u666f\u51cf\u9664\u662f\u5bf9\u8c61\u8ddf\u8e2a\u7684\u4e00\u4e2a\u57fa\u7840\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
                    fgbg = cv2.createBackgroundSubtractorMOG2()<\/p>\n
                    fgmask = fgbg.apply(frame)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u4e03\u3001\u89c6\u9891\u5904\u7406<\/p>\n<\/p>\n
                    \u5904\u7406\u89c6\u9891\u6d41\u4e0e\u5904\u7406\u5355\u5e27\u56fe\u50cf\u7c7b\u4f3c\uff0c\u4f46\u9700\u8981\u8003\u8651\u8fde\u7eed\u5e27\u7684\u5904\u7406<\/strong>\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u8bfb\u53d6\u89c6\u9891<\/strong><\/li>\n<\/ol>\n
                      \u4f7f\u7528cv2.VideoCapture()<\/code>\u53ef\u4ee5\u8bfb\u53d6\u89c6\u9891\u6587\u4ef6\u6216\u6444\u50cf\u5934\u6d41\uff1a<\/p>\n<\/p>\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
                          # \u5bf9\u6bcf\u5e27\u8fdb\u884c\u5904\u7406<\/p>\n
                          cv2.imshow('Frame', frame)<\/p>\n
                          if cv2.waitKey(1) & 0xFF == ord('q'):<\/p>\n
                              break<\/p>\n
                      cap.release()<\/p>\n
                      cv2.destroyAllWindows()<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u89c6\u9891\u5199\u5165<\/strong><\/li>\n<\/ol>\n
                        \u53ef\u4ee5\u4f7f\u7528cv2.VideoWriter()<\/code>\u5c06\u5904\u7406\u540e\u7684\u5e27\u4fdd\u5b58\u4e3a\u89c6\u9891\uff1a<\/p>\n<\/p>\n
                        fourcc = cv2.VideoWriter_fourcc(*'XVID')<\/p>\n
                        out = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))<\/p>\n
                        while cap.isOpened():<\/p>\n
                            ret, frame = cap.read()<\/p>\n
                            if not ret:<\/p>\n
                                break<\/p>\n
                            out.write(frame)<\/p>\n
                        cap.release()<\/p>\n
                        out.release()<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u516b\u3001\u673a\u5668\u5b66\u4e60<\/a>\u4e0e\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528<\/p>\n<\/p>\n
                        OpenCV\u7ed3\u5408\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff0c\u53ef\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u7ea7\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u3002<\/p>\n<\/p>\n
                          \n
                        1. \u4f7f\u7528\u9884\u8bad\u7ec3\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/strong><\/li>\n<\/ol>\n
                          OpenCV\u7684DNN\u6a21\u5757\u5141\u8bb8\u52a0\u8f7d\u548c\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u8bad\u7ec3\u7684\u6a21\u578b\uff1a<\/p>\n<\/p>\n
                          net = cv2.dnn.readNetFromCaffe('deploy.prototxt', 'weights.caffemodel')<\/p>\n
                          blob = cv2.dnn.blobFromImage(image, scalefactor, size, mean)<\/p>\n
                          net.setInput(blob)<\/p>\n
                          output = net.forward()<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u8bad\u7ec3\u81ea\u5b9a\u4e49\u6a21\u578b<\/strong><\/li>\n<\/ol>\n
                            \u53ef\u4ee5\u4f7f\u7528OpenCV\u7684ML\u6a21\u5757\u8bad\u7ec3\u81ea\u5b9a\u4e49\u6a21\u578b\uff0c\u4f8b\u5982\u4f7f\u7528KNN\u8fdb\u884c\u5206\u7c7b\uff1a<\/p>\n<\/p>\n
                            knn = cv2.ml.KNearest_create()<\/p>\n
                            knn.train(train_data, cv2.ml.ROW_SAMPLE, responses)<\/p>\n
                            ret, result, neighbours, dist = knn.findNearest(test_data, k)<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u4e5d\u3001\u5b9e\u7528\u6280\u5de7\u4e0e\u4f18\u5316<\/p>\n<\/p>\n
                            \u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u4f18\u5316\u4ee3\u7801\u6027\u80fd\u548c\u4fdd\u8bc1\u5b9e\u65f6\u6027\u662f\u5e38\u89c1\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
                              \n
                            1. \u4f18\u5316\u5904\u7406\u901f\u5ea6<\/strong><\/li>\n<\/ol>\n
                              \u4f7f\u7528\u591a\u7ebf\u7a0b\u3001\u964d\u4f4e\u56fe\u50cf\u5206\u8fa8\u7387\u4ee5\u53ca\u9009\u62e9\u5408\u9002\u7684\u7b97\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/p>\n<\/p>\n
                                \n
                              1. \u5185\u5b58\u7ba1\u7406<\/strong><\/li>\n<\/ol>\n
                                \u907f\u514d\u4e0d\u5fc5\u8981\u7684\u590d\u5236\u548c\u91ca\u653e\u8d44\u6e90\u5bf9\u4e8e\u957f\u65f6\u95f4\u8fd0\u884c\u7684\u7a0b\u5e8f\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n
                                \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u4f60\u5e94\u8be5\u5bf9\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528OpenCV\u6709\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u4e86\u89e3\u3002\u65e0\u8bba\u662f\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\u3001\u7279\u5f81\u68c0\u6d4b\uff0c\u8fd8\u662f\u9ad8\u7ea7\u7684\u5bf9\u8c61\u8bc6\u522b\u4e0e\u8ddf\u8e2a\uff0cOpenCV\u90fd\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u7075\u6d3b\u6027\u3002\u968f\u7740\u4f60\u5bf9OpenCV\u7684\u6df1\u5165\u5b66\u4e60\u548c\u5b9e\u8df5\uff0c\u4f60\u5c06\u80fd\u591f\u5f00\u53d1\u51fa\u66f4\u591a\u521b\u65b0\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u3002<\/p>\n<\/p>\n
                                \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                 \u5982\u4f55\u5728Python\u4e2d\u5b89\u88c5OpenCV\u5e93\uff1f<\/strong>
                                \u8981\u5728Python\u4e2d\u4f7f\u7528OpenCV\uff0c\u60a8\u9700\u8981\u5148\u5b89\u88c5\u8be5\u5e93\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5305\u7ba1\u7406\u5668pip\u6765\u5b89\u88c5\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1apip install opencv-python<\/code>\u3002\u5982\u679c\u9700\u8981\u989d\u5916\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5b89\u88c5opencv-python-headless<\/code>\uff0c\u5b83\u4e0d\u5305\u542bGUI\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u670d\u52a1\u5668\u73af\u5883\u3002<\/p>\n
                                OpenCV\u5728Python\u4e2d\u7684\u5e38\u89c1\u5e94\u7528\u573a\u666f\u6709\u54ea\u4e9b\uff1f<\/strong>
                                OpenCV\u5728Python\u4e2d\u7684\u5e94\u7528\u5e7f\u6cdb\uff0c\u5305\u62ec\u56fe\u50cf\u5904\u7406\u3001\u89c6\u9891\u5206\u6790\u3001\u7279\u5f81\u68c0\u6d4b\u3001\u7269\u4f53\u8bc6\u522b\u548c\u673a\u5668\u5b66\u4e60\u7b49\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528OpenCV\u8fdb\u884c\u56fe\u50cf\u6ee4\u955c\u5904\u7406\u3001\u8fb9\u7f18\u68c0\u6d4b\u3001\u9762\u90e8\u8bc6\u522b\u3001\u56fe\u50cf\u62fc\u63a5\u7b49\u4efb\u52a1\u3002\u8fd9\u4f7f\u5f97OpenCV\u6210\u4e3a\u8ba1\u7b97\u673a\u89c6\u89c9\u9879\u76ee\u7684\u5f3a\u5927\u5de5\u5177\u3002<\/p>\n
                                \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff1f<\/strong>
                                \u8981\u5728Python\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u7684cv2.imread()<\/code>\u548ccv2.imshow()<\/code>\u51fd\u6570\u3002\u8bfb\u53d6\u56fe\u50cf\u65f6\uff0c\u60a8\u9700\u8981\u63d0\u4f9b\u56fe\u50cf\u6587\u4ef6\u7684\u8def\u5f84\u3002\u4f7f\u7528cv2.imshow()<\/code>\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u7a97\u53e3\u663e\u793a\u56fe\u50cf\uff0c\u60a8\u8fd8\u9700\u8981\u8c03\u7528cv2.waitKey(0)<\/code>\u6765\u4fdd\u6301\u7a97\u53e3\u6253\u5f00\uff0c\u76f4\u5230\u6309\u4e0b\u4efb\u610f\u952e\u540e\u5173\u95ed\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
                                import cv2\n\nimage = cv2.imread('image.jpg')\ncv2.imshow('Display Window', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u8fdb\u884cOpenCV\u7f16\u7a0b\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u4e00\u9879\u91cd\u8981\u6280\u80fd\u3002OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5f00\u6e90\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c […]","protected":false},"author":3,"featured_media":949881,"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\/949879"}],"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=949879"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/949879\/revisions"}],"predecessor-version":[{"id":949882,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/949879\/revisions\/949882"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/949881"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=949879"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=949879"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=949879"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}