import cv2
cam = cv2.VideoCapture(0)
detector = cv2.CascadeClassifier('/usr/local/Cellar/opencv/3.4.2/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml')
Id = input('enter your id')
sampleNum = 0
while(True):
ret, img = cam.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = detector.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)
# incrementing sample number
sampleNum = sampleNum + 1
# saving the captured face in the dataset folder
cv2.imwrite("dataSet/User." + Id + '.' + str(sampleNum) + ".jpg", gray[y:y + h, x:x + w])
cv2.imshow('frame', img)
# wait for 100 miliseconds
if cv2.waitKey(100) & 0xFF == ord('q'):
break
# break if the sample number is morethan 20
elif sampleNum > 20:
break
cam.release()
cv2.destroyAllWindows()
cv2.imwrite应该将捕获的图像保存在名为dataSet的文件夹中,但不会捕获任何内容。这里有什么问题?谢谢