cvlib library in python is well established and many people in research community uses it. I noticed that if threr is no face detected the (for) loop stops for exampe, if i have the following code:
cap = cv2.VideoCapture(0)
if not (cap.isOpened()):
print('Could not open video device')
#To set the resolution
vid_height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
vid_width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
while(True):
ret, frame = cap.read()
if not ret:
continue
faces, confidences = cv.detect_face(frame)
# loop through detected faces and add bounding box
for face in faces:
(startX,startY) = face[0],face[1]
(endX,endY) = face[2],face[3]
cv2.rectangle(frame, (startX,startY), (endX,endY), (0,255,0), 2)
crop_img = frame[startY-5:endY-5, startX-5:endX-5]```
print(faces)
cv2.imshow('object detected',frame)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
as Im printing (faces) the output would be somthing like this
[[392, 256, 480, 369]]
[[392, 256, 478, 369]]
[[392, 255, 478, 370]]
.
.
.
[[392, 255, 478, 370]]
However, as soon as I block the camera or move my head away from it, as there is no face detected, the for loop freezes or pauses till it sees a face to detect.
I need an if statement or any other condition to check this freeze or a pause to produce do something else.