Python基于OpenCV实现视频的人脸检测

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()