def kalman_test(vid_src):
_, frame = vid_src.read()
used_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
model = KalmanFilter(used_frame, 60)
# applying background detection
while frame is not None:
used_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
fg = model.apply(used_frame)
cv2.imshow('img', used_frame)
cv2.imshow('fg', fg)
prev_frame = np.copy(frame)
_, frame = vid_src.read()
# print model.get_background_model().get_density_range(used_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
pass
