python利用opencv库实现人脸检测

import cv2 def detect_faces(frame, face_cascade): gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (x, y, w, h) in faces: cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2) return frame def main(): # 加载预训练的Haar特征分类器 face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml') # 打开摄像头 cap = cv2.VideoCapture(0) if not cap.isOpened(): print("无法打开摄像头") exit() while True: # 读取一帧 ret, frame = cap.read() if not ret: print("无法读取视频流") break # 检测人脸 frame = detect_faces(frame, face_cascade) # 显示结果 cv2.imshow('Face Detection', frame) # 按'q'键退出 if cv2.waitKey(1) & 0xFF == ord('q'): break # 释放资源 cap.release() cv2.destroyAllWindows() if __name__ == '__main__': main()