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Python基于OpenCV实现视频的人脸检测
简介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
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。