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【听图阁-专注于Python设计】。
