Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import numpy as np
- import cv2
- faceCascade = cv2.CascadeClassifier('Cascades/haarcascade_frontalface_default.xml')
- cap = cv2.VideoCapture(0)
- cap.set(3,640) # set Width
- cap.set(4,480) # set Height
- print("Press Esc to quit")
- while True:
- ret, img = cap.read()
- img = cv2.flip(img, -1)
- gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
- faces = faceCascade.detectMultiScale(
- gray,
- scaleFactor=1.2,
- minNeighbors=5,
- minSize=(20, 20)
- )
- for (x,y,w,h) in faces:
- cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
- roi_gray = gray[y:y+h, x:x+w]
- roi_color = img[y:y+h, x:x+w]
- cv2.imshow('video',img)
- k = cv2.waitKey(30) & 0xff
- if k == 27: # press 'ESC' to quit
- break
- cap.release()
- cv2.destroyAllWindows()
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement