{"id":1097913,"date":"2025-01-08T15:16:22","date_gmt":"2025-01-08T07:16:22","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1097913.html"},"modified":"2025-01-08T15:16:25","modified_gmt":"2025-01-08T07:16:25","slug":"python3%e5%a6%82%e4%bd%95%e5%af%bc%e5%85%a5cv2-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1097913.html","title":{"rendered":"python3\u5982\u4f55\u5bfc\u5165cv2"},"content":{"rendered":"

\"python3\u5982\u4f55\u5bfc\u5165cv2\"<\/p>\n

\u5728Python3\u4e2d\uff0c\u5bfc\u5165cv2\u5e93\u7684\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u901a\u5e38\u901a\u8fc7\u5b89\u88c5OpenCV\u5e93\u5e76\u4f7f\u7528import\u8bed\u53e5\u5373\u53ef\u5b8c\u6210\u3002<\/strong>
\u6b65\u9aa4\u5305\u62ec\u5b89\u88c5OpenCV\u3001\u5bfc\u5165cv2\u6a21\u5757\u3001\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f<\/strong>\u3002\u9996\u5148\uff0c\u901a\u8fc7pip\u547d\u4ee4\u5b89\u88c5OpenCV\u5e93\uff0c\u4f8b\u5982 pip install opencv-python<\/code>\u3002\u7136\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u4f7f\u7528 import cv2<\/code> \u8bed\u53e5\u5bfc\u5165cv2\u6a21\u5757<\/strong>\u3002\u6700\u540e\uff0c\u901a\u8fc7\u7b80\u5355\u7684cv2\u51fd\u6570\u8c03\u7528\u6765\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f<\/strong>\u3002\u63a5\u4e0b\u6765\u5c06\u8be6\u7ec6\u63cf\u8ff0\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5OpenCV\u5e93<\/h3>\n<\/p>\n

\u8981\u5728Python3\u4e2d\u4f7f\u7528cv2\u6a21\u5757\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\u3002OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\uff0c\u4e3a\u5404\u79cd\u4efb\u52a1\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u5b89\u88c5OpenCV\u5e93\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

1\u3001\u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5<\/h4>\n<\/p>\n

\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n

pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6b64\u547d\u4ee4\u5c06\u4e0b\u8f7d\u5e76\u5b89\u88c5\u6700\u65b0\u7248\u672c\u7684OpenCV\u5e93\u53ca\u5176\u4f9d\u8d56\u9879\u3002<\/p>\n<\/p>\n
2\u3001\u5b89\u88c5\u6269\u5c55\u5305<\/h4>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u7528OpenCV\u7684\u5168\u90e8\u529f\u80fd\uff0c\u53ef\u4ee5\u5b89\u88c5\u6269\u5c55\u5305opencv-python-headless<\/code>\uff0c\u5b83\u5305\u542b\u4e86\u66f4\u591a\u7684\u6a21\u5757\u548c\u529f\u80fd\uff1a<\/p>\n<\/p>\n
pip install opencv-python-headless<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6b64\u547d\u4ee4\u5c06\u5b89\u88c5OpenCV\u5e93\u7684\u6269\u5c55\u5305\uff0c\u9002\u7528\u4e8e\u4e0d\u9700\u8981GUI\u529f\u80fd\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u5bfc\u5165cv2\u6a21\u5757<\/h3>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165cv2\u6a21\u5757\u3002\u4ee5\u4e0b\u662f\u5bfc\u5165cv2\u6a21\u5757\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5bfc\u5165\u6210\u529f\u540e\uff0c\u5c31\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u63d0\u4f9b\u7684\u5404\u79cd\u51fd\u6570\u548c\u5de5\u5177\u6765\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f<\/h3>\n<\/p>\n
\u4e3a\u4e86\u786e\u4fdd\u5b89\u88c5\u548c\u5bfc\u5165\u8fc7\u7a0b\u6210\u529f\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528cv2\u6a21\u5757\u4e2d\u7684\u4e00\u4e2a\u7b80\u5355\u51fd\u6570\u6765\u8fdb\u884c\u9a8c\u8bc1\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
\u6253\u5370OpenCV\u7248\u672c\u53f7<\/strong><\/h2>\n
print(cv2.__version__)<\/p>\n
\u8bfb\u53d6\u5e76\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
image = cv2.imread('path_to_your_image.jpg')<\/p>\n
cv2.imshow('Image', image)<\/p>\n
cv2.wAI<\/a>tKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e0a\u8ff0\u4ee3\u7801\u9996\u5148\u5bfc\u5165cv2\u6a21\u5757\uff0c\u7136\u540e\u6253\u5370OpenCV\u7684\u7248\u672c\u53f7\uff0c\u4ee5\u786e\u8ba4\u5e93\u5df2\u6b63\u786e\u5b89\u88c5\u3002\u63a5\u7740\u8bfb\u53d6\u5e76\u663e\u793a\u4e00\u5f20\u56fe\u50cf\uff0c\u5982\u679c\u56fe\u50cf\u80fd\u591f\u6210\u529f\u663e\u793a\uff0c\u5219\u8868\u793aOpenCV\u5e93\u5df2\u6b63\u786e\u5b89\u88c5\u5e76\u53ef\u4ee5\u6b63\u5e38\u4f7f\u7528\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528cv2\u6a21\u5757\u8fdb\u884c\u56fe\u50cf\u5904\u7406<\/h3>\n<\/p>\n
OpenCV\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u8bfb\u53d6\u3001\u663e\u793a\u3001\u4fdd\u5b58\u3001\u56fe\u50cf\u53d8\u6362\u3001\u6ee4\u6ce2\u3001\u8fb9\u7f18\u68c0\u6d4b\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
image = cv2.imread('path_to_your_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u663e\u793a\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.imshow()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
cv2.imshow('Image', image)<\/p>\n
cv2.waitKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fdd\u5b58\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.imwrite()<\/code>\u51fd\u6570\u4fdd\u5b58\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
cv2.imwrite('output_image.jpg', image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u56fe\u50cf\u53d8\u6362<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.resize()<\/code>\u51fd\u6570\u8c03\u6574\u56fe\u50cf\u5927\u5c0f\uff1a<\/p>\n<\/p>\n
resized_image = cv2.resize(image, (width, height))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528cv2.cvtColor()<\/code>\u51fd\u6570\u8fdb\u884c\u989c\u8272\u7a7a\u95f4\u8f6c\u6362\uff1a<\/p>\n<\/p>\n
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5\u3001\u56fe\u50cf\u6ee4\u6ce2<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.GaussianBlur()<\/code>\u51fd\u6570\u8fdb\u884c\u9ad8\u65af\u6a21\u7cca\uff1a<\/p>\n<\/p>\n
blurred_image = cv2.GaussianBlur(image, (5, 5), 0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
6\u3001\u8fb9\u7f18\u68c0\u6d4b<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.Canny()<\/code>\u51fd\u6570\u8fdb\u884c\u8fb9\u7f18\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n
edges = cv2.Canny(image, 100, 200)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528cv2\u6a21\u5757\u8fdb\u884c\u89c6\u9891\u5904\u7406<\/h3>\n<\/p>\n
\u9664\u4e86\u5904\u7406\u9759\u6001\u56fe\u50cf\uff0cOpenCV\u8fd8\u652f\u6301\u89c6\u9891\u5904\u7406\uff0c\u5305\u62ec\u89c6\u9891\u8bfb\u53d6\u3001\u663e\u793a\u3001\u4fdd\u5b58\u7b49\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u89c6\u9891\u5904\u7406\u64cd\u4f5c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6\u89c6\u9891<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.VideoCapture()<\/code>\u51fd\u6570\u8bfb\u53d6\u89c6\u9891\u6587\u4ef6\u6216\u6444\u50cf\u5934\u8f93\u5165\uff1a<\/p>\n<\/p>\n
cap = cv2.VideoCapture('path_to_your_video.mp4')<\/p>\n
\u6216\u8005\u8bfb\u53d6\u6444\u50cf\u5934\u8f93\u5165<\/strong><\/h2>\n
cap = cv2.VideoCapture(0)<\/strong><\/h2>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u663e\u793a\u89c6\u9891<\/h4>\n<\/p>\n
\u901a\u8fc7\u5faa\u73af\u8bfb\u53d6\u6bcf\u4e00\u5e27\u5e76\u663e\u793a\uff1a<\/p>\n<\/p>\n
while cap.isOpened():<\/p>\n
    ret, frame = cap.read()<\/p>\n
    if not ret:<\/p>\n
        break<\/p>\n
    cv2.imshow('Video', 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
3\u3001\u4fdd\u5b58\u89c6\u9891<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.VideoWriter()<\/code>\u51fd\u6570\u4fdd\u5b58\u89c6\u9891\uff1a<\/p>\n<\/p>\n
fourcc = cv2.VideoWriter_fourcc(*'XVID')<\/p>\n
out = cv2.VideoWriter('output_video.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
    cv2.imshow('Video', frame)<\/p>\n
    if cv2.waitKey(1) & 0xFF == ord('q'):<\/p>\n
        break<\/p>\n
cap.release()<\/p>\n
out.release()<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4f7f\u7528cv2\u6a21\u5757\u8fdb\u884c\u9ad8\u7ea7\u56fe\u50cf\u5904\u7406<\/h3>\n<\/p>\n
OpenCV\u5e93\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5982\u56fe\u50cf\u5206\u5272\u3001\u7279\u5f81\u63d0\u53d6\u3001\u7269\u4f53\u68c0\u6d4b\u548c\u8bc6\u522b\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u9ad8\u7ea7\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u56fe\u50cf\u5206\u5272<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.threshold()<\/code>\u51fd\u6570\u8fdb\u884c\u56fe\u50cf\u4e8c\u503c\u5316\uff1a<\/p>\n<\/p>\n
ret, binary_image = cv2.threshold(gray_image, 127, 255, cv2.THRESH_BINARY)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528cv2.findContours()<\/code>\u51fd\u6570\u8fdb\u884c\u8f6e\u5ed3\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n
contours, hierarchy = cv2.findContours(binary_image, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7279\u5f81\u63d0\u53d6<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.SIFT_create()<\/code>\u51fd\u6570\u8fdb\u884cSIFT\u7279\u5f81\u63d0\u53d6\uff1a<\/p>\n<\/p>\n
sift = cv2.SIFT_create()<\/p>\n
keypoints, descriptors = sift.detectAndCompute(gray_image, None)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528cv2.drawKeypoints()<\/code>\u51fd\u6570\u7ed8\u5236\u7279\u5f81\u70b9\uff1a<\/p>\n<\/p>\n
image_with_keypoints = cv2.drawKeypoints(image, keypoints, None, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)<\/p>\n
cv2.imshow('SIFT Keypoints', image_with_keypoints)<\/p>\n
cv2.waitKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7269\u4f53\u68c0\u6d4b<\/h4>\n<\/p>\n
\u4f7f\u7528\u9884\u8bad\u7ec3\u7684Haar\u7ea7\u8054\u5206\u7c7b\u5668\u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')<\/p>\n
faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))<\/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
cv2.imshow('Detected Faces', image)<\/p>\n
cv2.waitKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528cv2\u6a21\u5757\u8fdb\u884c\u673a\u5668\u5b66\u4e60<\/h3>\n<\/p>\n
OpenCV\u5e93\u96c6\u6210\u4e86\u591a\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5206\u7c7b\u3001\u5bf9\u8c61\u68c0\u6d4b\u7b49\u4efb\u52a1\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u64cd\u4f5c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u56fe\u50cf\u5206\u7c7b<\/h4>\n<\/p>\n
\u4f7f\u7528\u9884\u8bad\u7ec3\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u56fe\u50cf\u5206\u7c7b\uff1a<\/p>\n<\/p>\n
net = cv2.dnn.readNetFromCaffe('deploy.prototxt', 'bvlc_googlenet.caffemodel')<\/p>\n
blob = cv2.dnn.blobFromImage(image, 1, (224, 224), (104, 117, 123))<\/p>\n
net.setInput(blob)<\/p>\n
predictions = net.forward()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5bf9\u8c61\u68c0\u6d4b<\/h4>\n<\/p>\n
\u4f7f\u7528YOLO\u6a21\u578b\u8fdb\u884c\u5bf9\u8c61\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n
net = cv2.dnn.readNetFromDarknet('yolov3.cfg', 'yolov3.weights')<\/p>\n
blob = cv2.dnn.blobFromImage(image, 1\/255.0, (416, 416), swapRB=True, crop=False)<\/p>\n
net.setInput(blob)<\/p>\n
layer_names = net.getLayerNames()<\/p>\n
output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]<\/p>\n
detections = net.forward(output_layers)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u8be6\u7ec6\u63cf\u8ff0\u4e86\u5728Python3\u4e2d\u5982\u4f55\u5bfc\u5165cv2\u6a21\u5757\u5e76\u8fdb\u884c\u56fe\u50cf\u548c\u89c6\u9891\u5904\u7406\u7684\u6b65\u9aa4\u3002\u9996\u5148\uff0c\u901a\u8fc7pip\u547d\u4ee4\u5b89\u88c5OpenCV\u5e93\uff0c\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165cv2\u6a21\u5757\uff0c\u5e76\u901a\u8fc7\u7b80\u5355\u7684\u51fd\u6570\u8c03\u7528\u6765\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f\u3002\u63a5\u7740\uff0c\u4ecb\u7ecd\u4e86\u5e38\u89c1\u7684\u56fe\u50cf\u5904\u7406\u548c\u89c6\u9891\u5904\u7406\u64cd\u4f5c\uff0c\u5305\u62ec\u56fe\u50cf\u8bfb\u53d6\u3001\u663e\u793a\u3001\u4fdd\u5b58\u3001\u56fe\u50cf\u53d8\u6362\u3001\u6ee4\u6ce2\u3001\u8fb9\u7f18\u68c0\u6d4b\u3001\u89c6\u9891\u8bfb\u53d6\u3001\u663e\u793a\u3001\u4fdd\u5b58\u7b49\u3002\u6700\u540e\uff0c\u8fd8\u4ecb\u7ecd\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5982\u56fe\u50cf\u5206\u5272\u3001\u7279\u5f81\u63d0\u53d6\u3001\u7269\u4f53\u68c0\u6d4b\u548c\u673a\u5668\u5b66\u4e60\u3002\u901a\u8fc7\u8fd9\u4e9b\u793a\u4f8b\uff0c\u76f8\u4fe1\u8bfb\u8005\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528OpenCV\u5e93\u6765\u8fdb\u884c\u5404\u79cd\u56fe\u50cf\u548c\u89c6\u9891\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python3\u4e2d\u5b89\u88c5OpenCV\uff08cv2\uff09\u5e93\uff1f<\/strong>
\u8981\u5728Python3\u4e2d\u4f7f\u7528cv2\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a  <\/p>\n
pip install opencv-python\n<\/code><\/pre>\n
\u5982\u679c\u9700\u8981\u989d\u5916\u7684\u529f\u80fd\uff08\u5982\u5bf9FFmpeg\u7684\u652f\u6301\uff09\uff0c\u53ef\u4ee5\u5b89\u88c5opencv-python-headless\u3002\u786e\u4fdd\u5728\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f7f\u7528import cv2<\/code>\u6765\u5bfc\u5165\u5e93\u3002<\/p>\n
\u5728\u5bfc\u5165cv2\u540e\uff0c\u5982\u4f55\u9a8c\u8bc1OpenCV\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1f<\/strong>
\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0bPython\u4ee3\u7801\u6765\u9a8c\u8bc1OpenCV\u662f\u5426\u6b63\u786e\u5b89\u88c5\uff1a  <\/p>\n
import cv2\nprint(cv2.__version__)\n<\/code><\/pre>\n
\u5982\u679c\u5b89\u88c5\u6210\u529f\uff0c\u5c06\u663e\u793a\u5f53\u524d\u5b89\u88c5\u7684OpenCV\u7248\u672c\u53f7\u3002\u5982\u679c\u51fa\u73b0\u9519\u8bef\u4fe1\u606f\uff0c\u5219\u9700\u8981\u68c0\u67e5\u5b89\u88c5\u6b65\u9aa4\u662f\u5426\u6b63\u786e\u3002<\/p>\n
\u4f7f\u7528cv2\u5e93\u65f6\uff0c\u5982\u4f55\u5904\u7406\u5e38\u89c1\u7684\u9519\u8bef\uff1f<\/strong>
\u5728\u4f7f\u7528cv2\u5e93\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u5404\u79cd\u9519\u8bef\uff0c\u4f8b\u5982\u6a21\u5757\u672a\u627e\u5230\u6216\u7248\u672c\u4e0d\u517c\u5bb9\u3002\u786e\u4fdd\u4f7f\u7528\u7684Python\u7248\u672c\u548cOpenCV\u7248\u672c\u517c\u5bb9\u3002\u5982\u679c\u9047\u5230\u201cImportError: No module named 'cv2'\u201d\u7684\u9519\u8bef\uff0c\u8bf4\u660ecv2\u672a\u88ab\u6b63\u786e\u5b89\u88c5\uff0c\u5efa\u8bae\u91cd\u65b0\u5b89\u88c5\u6216\u68c0\u67e5Python\u73af\u5883\u3002\u5982\u679c\u4f7f\u7528\u865a\u62df\u73af\u5883\uff0c\u786e\u4fdd\u5728\u8be5\u73af\u5883\u4e2d\u5b89\u88c5\u5e76\u5bfc\u5165cv2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python3\u4e2d\uff0c\u5bfc\u5165cv2\u5e93\u7684\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u901a\u5e38\u901a\u8fc7\u5b89\u88c5OpenCV\u5e93\u5e76\u4f7f\u7528import\u8bed\u53e5\u5373\u53ef\u5b8c\u6210\u3002\u6b65\u9aa4 […]","protected":false},"author":3,"featured_media":1097921,"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\/1097913"}],"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=1097913"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1097913\/revisions"}],"predecessor-version":[{"id":1097922,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1097913\/revisions\/1097922"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1097921"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1097913"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1097913"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1097913"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}