本次在視頻識(shí)別的程度上增添了攝像頭實(shí)時(shí)識(shí)別，

區(qū)別在于：

• # v = cv2.VideoCapture('./dzd2.mp4')

• v = cv2.VideoCapture(0)?

import numpy as npimport cv2face_detector = cv2.CascadeClassifier('./haarcascade_frontalface_alt2.xml') # v = cv2.VideoCapture('./dzd2.mp4') v = cv2.VideoCapture(0) # win = cv2.namedWindow('dzd',cv2.WINDOW_NORMAL)#視頻時(shí)由一張行圖片組成，每一張圖片，幀num = 1while True:flag,frame= v.read()if not flag:breakframe = cv2.resize(frame,(640,360))gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)face_zones = face_detector.detectMultiScale(gray,scaleFactor=1.1, # minNeighbors=3, # minSize =(60,60), # maxSize =(110,110)) # print(face_zones)for x,y,w,h in face_zones[:1]:cv2.rectangle(frame,pt1=(x,y),pt2=(x+w,y+h),color= [0,0,255],thickness=2,) # cv2.circle(frame,center=(x+w//2,y+h//2),radius=w//2,color= [0,0,255],thickness=2,)cv2.imshow('dzd',frame) # if len(face_zones)>=1: # f = input('是否保存這張圖片？Y/N').lower() # if f == 'y': # face = frame[y:y+h,x:x+w] # cv2.imwrite('./faces/liu/%d.jpg'%(num),face) # num+=1key =cv2.waitKey(41)if key == ord('y'):face = frame[y+2:y+h-2,x+2:x+w-2]cv2.resize(face,(64,64))cv2.imwrite('./faces/liuwang/%d.jpg'%(num),face)num+=1elif key == ord('q'):breakv.release()#釋放視頻流 cv2.destroyAllWindows()

?

總結(jié)

以上是生活随笔為你收集整理的【机器学习】opencv-摄像头中的人脸采集的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

如果覺(jué)得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。