OpenCV-Python（1）在Python中使用OpenCV进行人脸检测

detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(0) ret, img = cap.read() cv2.imshow('windowname', img) cv2.waitKey(0)  # 释放摄像头资源 cap.release()

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = detector.detectMultiScale(gray, 1.3, 5)

for (x, y, w, h) in faces:     cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)

detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') cap = cv2.VideoCapture(0)  while True:     ret, img = cap.read()     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)     faces = detector.detectMultiScale(gray, 1.3, 5)     for (x, y, w, h) in faces:         cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)      cv2.imshow('frame', img)     if cv2.waitKey(1) & 0xFF == ord('q'):         break  cap.release() cv2.destroyAllWindows()

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