本文实例为大家分享了基于OpenCV实现视频的人脸检测具体代码，供大家参考，具体内容如下
前提条件
1.摄像头
2.已安装Python和OpenCV3
代码
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import cv2 import sys import logging as log import datetime as dt from time import sleep cascPath = "haarcascade_frontalface_default.xml"faceCascade = cv2.CascadeClassifier(cascPath) # 打开视频捕获设备 video_capture = cv2.VideoCapture(0) while True: if not video_capture.isOpened(): print('Unable to load camera.') sleep(5) pass # 读视频帧 ret, frame = video_capture.read() # 转为灰度图像 gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 调用分类器进行检测 faces = faceCascade.detectMultiScale( gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30), #flags=cv2.cv.CV_HAAR_SCALE_IMAGE ) # 画矩形框 for (x, y, w, h) in faces: cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2) # 显示视频 cv2.imshow('Video', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # 关闭摄像头设备 video_capture.release() # 关闭所有窗口 cv2.destroyAllWindows() |
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：http://blog.csdn.net/chenhaifeng2016/article/details/72878377
