Python基于OpenCV实现视频的人脸检测

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

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。