def process_frame(frame, prev_mask, carpet_mask):
if carpet_mask is None:
carpet_mask = img_util.green_carpet_mask(frame,
carpet_lowerb,
carpet_upperb)
mask = get_mask(frame, lowerb=ball_lowerb, upperb=ball_upperb,
carpet_mask=carpet_mask)
if prev_mask is None:
move_mask = np.zeros_like(mask)
else:
move_mask = cv2.bitwise_not(prev_mask, mask=mask)
prev_mask = mask
is_ball, move_mask = img_util.detect_ball(move_mask)
return is_ball, move_mask, prev_mask, frame
def extract_ball_from_capture(cap, max_frames_count=-1, skip_count=0,
carpet_mask=None, get_mask=None,
carpet_lowerb=None,
carpet_upperb=None,
ball_lowerb=None,
ball_upperb=None,
ball_size=3):
"""
Read frames from capture until we detect motion of the ball
Return tuple of (original frames, ball mask frames)
:param carpet_lowerb:
:rtype : (list(np.ndarray), list(np.ndarray))
"""
frames = []
mask_frames = []
# mog = cv2.BackgroundSubtractorMOG(history=5, nmixtures=4,backgroundRatio=0.7)
mog = cv2.BackgroundSubtractorMOG()
motion_started = False
for _ in xrange(skip_count):
if cap.isOpened():
cap.read()
prev_mask = None
while cap.isOpened():
if 0 < max_frames_count <= len(frames):
logger.debug('max frames count reached')
break
ret, frame = cap.read()
if ret:
if get_mask is not None:
if carpet_mask is None:
carpet_mask = img_util.green_carpet_mask(frame,
carpet_lowerb,
carpet_upperb)
mask = get_mask(frame, lowerb=ball_lowerb, upperb=ball_upperb,
carpet_mask=carpet_mask)
if prev_mask is None:
move_mask = np.zeros_like(mask)
else:
move_mask = cv2.bitwise_not(prev_mask, mask=mask)
prev_mask = mask
else:
logger.debug('get_mask = None')
move_mask = mog.apply(frame)
is_ball, move_mask = img_util.detect_ball(move_mask, ball_size)
if is_ball:
if not motion_started:
logger.debug('ball appeared')
motion_started = True
frames.append(frame)
mask_frames.append(move_mask)
else:
if motion_started:
logger.debug(
'ball disappeared. Frames count: {}'.format(
len(frames)))
break
else:
continue
else:
logger.debug('Cannot read more frames')
break
return frames, mask_frames