-
- import os
- import numpy as np
- import cv2
-
- path = '/home/agent/PythonOpen/cvpics'
-
- face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
- eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
-
- cap = cv2.VideoCapture('testvid.mp4')
- num = 0
- while 1:
- ret, img = cap.read()
- gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
- faces = face_cascade.detectMultiScale(gray, 1.3, 5)
-
- for (x,y,w,h) in faces:
- cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2), cv2.imwrite(os.path.join(path, 'opencv'+str(num)+'.jpg',img))
- roi_gray = gray[y:y+h, x:x+w]
- roi_color = img[y:y+h, x:x+w]
-
- eyes = eye_cascade.detectMultiScale(roi_gray)
- for (ex,ey,ew,eh) in eyes:
- cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
-
- cv2.imshow('img',img)
- num = num+1
- k = cv2.waitKey(30) & 0xff
- if k == 27:
- break
-
- cap.release()
- cv2.destroyAllWindows()
-