def get_detections_from_video(self, video_job):
logger.info('[%s] Received video job: %s', video_job.job_name,
video_job)
if video_job.feed_forward_track is not None:
return [video_job.feed_forward_track]
echo_job, echo_media = self.get_echo_msgs(video_job)
track1 = mpf.VideoTrack(0, 1)
track1.frame_locations[0] = mpf.ImageLocation(1, 2, 3, 4, -1, {
'METADATA': 'test',
'ECHO_JOB': echo_job,
'ECHO_MEDIA': echo_media
})
track1.frame_locations[1] = mpf.ImageLocation(5, 6, 7, 8, -1)
track1.frame_locations[1].detection_properties['ECHO_JOB'] = echo_job
track1.frame_locations[1].detection_properties[
'ECHO_MEDIA'] = echo_media
track1.detection_properties.update(video_job.job_properties)
track1.detection_properties.update(video_job.media_properties)
track2 = mpf.VideoTrack(
3, 4, -1, {
3:
mpf.ImageLocation(9, 10, 11, 12, -1,
[('ECHO_JOB', echo_job),
('ECHO_MEDIA', echo_media)])
}, mpf.Properties(ECHO_JOB=echo_job, ECHO_MEDIA=echo_media))
# Make sure regular collections are accepted
return [track1, track2]
def get_detections_from_video_capture(self, video_job, video_capture):
test = self._test
for frame_index, frame in enumerate(video_capture):
top_left_corner = frame[:20, :30]
test.assertTrue(test_util.is_all_black(top_left_corner))
bottom_right_corner = frame[80:, 50:]
test.assertTrue(test_util.is_all_black(bottom_right_corner))
top_right_corner = frame[:20, 50:]
test.assertTrue(test_util.is_all_white(top_right_corner))
bottom_left_corner = frame[80:, :30]
test.assertTrue(test_util.is_all_white(bottom_left_corner))
for corner in (top_left_corner, bottom_right_corner, top_right_corner, bottom_left_corner):
test.assertEqual(mpf_util.Size(30, 20), mpf_util.Size.from_frame(corner))
yield mpf.VideoTrack(frame_index, frame_index,
frame_locations={frame_index: mpf.ImageLocation(0, 0, 30, 20)})
yield mpf.VideoTrack(frame_index, frame_index,
frame_locations={frame_index: mpf.ImageLocation(50, 80, 30, 20)})
yield mpf.VideoTrack(frame_index, frame_index,
frame_locations={frame_index: mpf.ImageLocation(50, 0, 30, 20)})
yield mpf.VideoTrack(frame_index, frame_index,
frame_locations={frame_index: mpf.ImageLocation(0, 80, 30, 20)})
def test_can_handle_feed_forward_track(self):
ff_track = mpf.VideoTrack(0,
29,
frame_locations={
1: mpf.ImageLocation(5, 5, 5, 10),
3: mpf.ImageLocation(4, 4, 5, 6),
7: mpf.ImageLocation(5, 5, 8, 9),
11: mpf.ImageLocation(4, 5, 5, 6),
12: mpf.ImageLocation(4, 4, 1, 2),
20: mpf.ImageLocation(5, 5, 5, 5),
25: mpf.ImageLocation(4, 4, 5, 5)
})
job = mpf.VideoJob('TEST', FRAME_FILTER_TEST_VIDEO, 0, -1,
dict(FEED_FORWARD_TYPE='SUPERSET_REGION'), {},
ff_track)
cap = mpf_util.VideoCapture(job)
self.assertEqual(7, cap.frame_count)
self.assertFalse(cap.get_initialization_frames_if_available(100))
min_x = ff_track.frame_locations[3].x_left_upper
max_x = ff_track.frame_locations[
7].x_left_upper + ff_track.frame_locations[7].width
min_y = ff_track.frame_locations[3].y_left_upper
max_y = ff_track.frame_locations[
1].y_left_upper + ff_track.frame_locations[1].height
expected_size = mpf_util.Size(max_x - min_x, max_y - min_y)
self.assertEqual(expected_size, cap.frame_size)
self.assert_frame_read(cap, 1, expected_size, 0)
self.assert_frame_read(cap, 3, expected_size, 1 / 7)
self.assert_frame_read(cap, 7, expected_size, 2 / 7)
self.assert_frame_read(cap, 11, expected_size, 3 / 7)
self.assert_frame_read(cap, 12, expected_size, 4 / 7)
self.assert_frame_read(cap, 20, expected_size, 5 / 7)
self.assert_frame_read(cap, 25, expected_size, 6 / 7)
self.assertAlmostEqual(1, cap.frame_position_ratio)
self.assert_read_fails(cap)
il = mpf.ImageLocation(0, 1, 2, 3)
track = mpf.VideoTrack(0,
6,
frame_locations={
1: il,
2: il,
4: il,
5: il
})
cap.reverse_transform(track)
self.assertEqual(1, track.start_frame)
self.assertEqual(25, track.stop_frame)
self.assert_dict_contains_keys(track.frame_locations, (3, 7, 12, 20))
def test_feed_forward_cropper_crop_to_exact_region(self):
ff_track = mpf.VideoTrack(4,
29,
frame_locations={
4: mpf.ImageLocation(10, 60, 65, 125),
15: mpf.ImageLocation(60, 20, 100, 200),
29: mpf.ImageLocation(70, 0, 30, 240)
})
job = mpf.VideoJob('Test', FRAME_FILTER_TEST_VIDEO, 4, 29,
dict(FEED_FORWARD_TYPE='REGION'), {}, ff_track)
cap = mpf_util.VideoCapture(job)
output_track = mpf.VideoTrack(0, 2)
frame_pos = cap.current_frame_position
frame = next(cap)
self.assertEqual(4, get_frame_number(frame))
self.assertEqual((65, 125), mpf_util.Size.from_frame(frame))
output_track.frame_locations[frame_pos] = mpf.ImageLocation(
0, 0, frame.shape[1], frame.shape[0])
frame_pos = cap.current_frame_position
frame = next(cap)
self.assertEqual(15, get_frame_number(frame))
self.assertEqual((100, 200), mpf_util.Size.from_frame(frame))
output_track.frame_locations[frame_pos] = mpf.ImageLocation(
0, 0, frame.shape[1], frame.shape[0])
frame_pos = cap.current_frame_position
frame = next(cap)
self.assertEqual(29, get_frame_number(frame))
self.assertEqual((30, 240), mpf_util.Size.from_frame(frame))
output_track.frame_locations[frame_pos] = mpf.ImageLocation(
5, 40, 15, 60)
self.assert_read_fails(cap)
cap.reverse_transform(output_track)
self.assertEqual(len(ff_track.frame_locations),
len(output_track.frame_locations))
self.assertEqual(ff_track.frame_locations[4],
output_track.frame_locations[4])
self.assertEqual(ff_track.frame_locations[15],
output_track.frame_locations[15])
last_detection = output_track.frame_locations[29]
self.assertEqual(75, last_detection.x_left_upper)
self.assertEqual(40, last_detection.y_left_upper)
self.assertEqual(15, last_detection.width)
self.assertEqual(60, last_detection.height)
def test_feed_forward_superset_region(self):
ff_track = mpf.VideoTrack(
0, 2, -1, {
0: mpf.ImageLocation(60, 300, 100, 40, -1,
dict(ROTATION='260')),
1: mpf.ImageLocation(160, 350, 130, 20, -1,
dict(ROTATION='60')),
2: mpf.ImageLocation(260, 340, 60, 60, -1, dict(ROTATION='20'))
}, {})
for rotation in range(0, 361, 20):
job = mpf.VideoJob(
'Test',
test_util.get_data_file_path(
'rotation/feed-forward-rotation-test.png'),
ff_track.start_frame, ff_track.stop_frame,
dict(FEED_FORWARD_TYPE='SUPERSET_REGION',
ROTATION=str(rotation)), {}, ff_track)
expected_min_num_blue = 0
expected_max_num_blue = 0
for il in ff_track.frame_locations.values():
area = il.width * il.height
perimeter = 2 * il.width + 2 * il.height
expected_min_num_blue += area - perimeter
expected_max_num_blue += area + perimeter
frame = next(mpf_util.VideoCapture(job))
actual_num_blue = count_matching_pixels(frame, (255, 0, 0))
# Color of pixels along edges gets blended with nearby pixels during interpolation.
self.assertLessEqual(actual_num_blue, expected_max_num_blue)
self.assertGreaterEqual(actual_num_blue, expected_min_num_blue)
def test_feed_forward_exact_region(self):
ff_track = mpf.VideoTrack(
0, 2, -1, {
0: mpf.ImageLocation(60, 300, 100, 40, -1,
dict(ROTATION='260')),
1: mpf.ImageLocation(160, 350, 130, 20, -1,
dict(ROTATION='60')),
2: mpf.ImageLocation(260, 340, 60, 60, -1, dict(ROTATION='20'))
}, {})
job = mpf.VideoJob(
'Test',
test_util.get_data_file_path(
'rotation/feed-forward-rotation-test.png'),
ff_track.start_frame, ff_track.stop_frame,
dict(FEED_FORWARD_TYPE='REGION'), {}, ff_track)
test_img = cv2.imread(job.data_uri)
transformer = frame_transformer_factory.get_transformer(
job, mpf_util.Size.from_frame(test_img))
for frame_number, ff_detection in ff_track.frame_locations.items():
frame = transformer.transform_frame(test_img, frame_number)
frame_size = mpf_util.Size.from_frame(frame)
self.assertEqual(frame_size,
(ff_detection.width, ff_detection.height))
self.assert_image_color(frame, (255, 0, 0))
size_as_tuple = typing.cast(typing.Tuple[int, int], frame_size)
new_detection = mpf.ImageLocation(0, 0, *size_as_tuple)
transformer.reverse_transform(new_detection, frame_number)
self.assert_detections_same_location(new_detection, ff_detection)
def create_test_track():
return mpf.VideoTrack(5,
10,
frame_locations={
5: mpf.ImageLocation(20, 30, 15, 5),
7: mpf.ImageLocation(0, 1, 2, 3),
10: mpf.ImageLocation(4, 5, 6, 7)
})
def test_can_fix_frame_pos_in_reverse_transform(self):
cap = create_video_capture(5, 19, 2)
il = mpf.ImageLocation(0, 1, 2, 3)
track = mpf.VideoTrack(1, 6, frame_locations={1: il, 2: il, 6: il})
cap.reverse_transform(track)
self.assertEqual(7, track.start_frame)
self.assertEqual(17, track.stop_frame)
self.assert_dict_contains_keys((7, 9, 17), track.frame_locations)
def to_feed_forward_filter(interval_filter):
frame_count = interval_filter.get_segment_frame_count()
frame_location_map = dict()
for i in range(frame_count):
original_pos = interval_filter.segment_to_original_frame_position(i)
frame_location_map[original_pos] = mpf.ImageLocation(0, 0, 0, 0)
ff_track = mpf.VideoTrack(0, frame_count, frame_locations=frame_location_map)
return FeedForwardFrameFilter(ff_track)
def test_can_use_search_region_with_feed_forward_frame_type(self):
ff_track = mpf.VideoTrack(0, 15, frame_locations={1: mpf.ImageLocation(5, 5, 5, 5)})
job_properties = dict(
FEED_FORWARD_TYPE='FRAME',
SEARCH_REGION_ENABLE_DETECTION='True',
SEARCH_REGION_TOP_LEFT_X_DETECTION='3',
SEARCH_REGION_TOP_LEFT_Y_DETECTION='3',
SEARCH_REGION_BOTTOM_RIGHT_X_DETECTION='6',
SEARCH_REGION_BOTTOM_RIGHT_Y_DETECTION='8')
job = mpf.VideoJob('TEST', FRAME_FILTER_TEST_VIDEO, 0, -1, job_properties, {}, ff_track)
cap = mpf_util.VideoCapture(job)
expected_size = mpf_util.Size(3, 5)
self.assertEqual(expected_size, cap.frame_size)
frame = next(cap)
self.assertEqual(expected_size.width, frame.shape[1])
self.assertEqual(expected_size.height, frame.shape[0])
def get_detections_from_video_capture(video_job, video_capture):
logger.info('[%s] Received video job: %s', video_job.job_name,
video_job)
model = get_model(video_job) # A real component would use the model.
width, height = video_capture.frame_size
detections = dict()
expand_rate = 5
last_il = mpf.ImageLocation(0, 0, 1, 1)
last_frame_read = 0
for idx, frame in enumerate(video_capture):
last_frame_read = idx
last_il = mpf.ImageLocation(
0, 0, min(width - 1, last_il.width + expand_rate),
min(height - 1, last_il.height + expand_rate))
detections[idx] = last_il
if not detections:
return ()
return [mpf.VideoTrack(0, last_frame_read, frame_locations=detections)]
