h = int(_h)
maxArea = w * h
if maxArea > 0:
tracker.start_track(
image,
dlib.rectangle(x - 10, y - 20, x + w + 10, y + h + 20))
tracking_face = 1
if tracking_face:
trackingQuality = tracker.update(image)
if trackingQuality >= 8.75:
tracking_position = tracker.get_position()
t_x = int(tracking_position.left())
t_y = int(tracking_position.top())
t_w = int(tracking_position.width())
t_h = int(tracking_position.height())
faces = [(t_x, t_y, t_w, t_h)]
else:
tracking_face = 0
results = face_detector.draw_faces(image, faces)
cv2.imshow('Results', results)
key = cv2.waitKey(90) & 0xFF
print('Image {} : size {}'.format(i, rawCapture.tell()))
rawCapture.seek(0)
i = i + 1
rawCapture.truncate(0)
if key == ord("q") or i == 1200:
break
cv2.destroyAllWindows()
