本文實(shí)例為大家分享了基于OpenCV實(shí)現(xiàn)視頻的人臉檢測具體代碼，供大家參考，具體內(nèi)容如下

前提條件

1.攝像頭
2.已安裝Python和OpenCV3

代碼

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)  # 打開視頻捕獲設(shè)備 video_capture = cv2.VideoCapture(0)   while True:  if not video_capture.isOpened():   print('Unable to load camera.')   sleep(5)   pass   # 讀視頻幀  ret, frame = video_capture.read()   # 轉(zhuǎn)為灰度圖像  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)   # 調(diào)用分類器進(jìn)行檢測  faces = faceCascade.detectMultiScale(   gray,   scaleFactor=1.1,   minNeighbors=5,   minSize=(30, 30),   #flags=cv2.cv.CV_HAAR_SCALE_IMAGE  )   # 畫矩形框  for (x, y, w, h) in faces:   cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)    # 顯示視頻  cv2.imshow('Video', frame)    if cv2.waitKey(1) & 0xFF == ord('q'):   break   # 關(guān)閉攝像頭設(shè)備 video_capture.release()  # 關(guān)閉所有窗口 cv2.destroyAllWindows() 

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