Comments (2)
I think what your code is lacking is a delay time which is required for detecting large number of faces in a frame before we read another frame from video stream, for few faces it should work normally. Try the code attached and let me know if you still face this issue.
import cv2
import time
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray,1.3,5)
i=0
for (x,y,w,h) in faces:
cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0), 2)
roi_color = img[y:y+h, x:x+w]
face_file_name='faces/face_'+str(i)+'.jpg'
cv2.imwrite(face_file_name, roi_color)
i+=1
cv2.imshow('image', img)
time.sleep(1)
k = cv2.waitKey(30) & 0xff
if k==27:
break
print(str(i)+' faces read')
cap.release()
cv2.destroyAllWindows()
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Yes it worked. Thanks.
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Related Issues (1)
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