def check_corrupted_videos():
corrupted_videos = [corrupted_video_data_root + '/' + f for f in os.listdir(corrupted_video_data_root)]
for corrupted in corrupted_videos:
pipe = Pipeline(batch_size=BATCH_SIZE, num_threads=4, device_id=0)
with pipe:
vid = fn.video_reader(device="gpu", filenames=corrupted, sequence_length=1)
pipe.set_outputs(vid)
pipe.build()
def check_container(cont):
pipe = Pipeline(batch_size=1, num_threads=4, device_id=0)
path = os.path.join(video_containers_data_root, cont)
test_videos = [path + '/' + f for f in os.listdir(path)]
with pipe:
# mkv container for some reason fails in DALI VFR heuristics
vid = fn.video_reader(device="gpu",
filenames=test_videos,
sequence_length=10,
skip_vfr_check=True,
stride=1,
name="Reader")
pipe.set_outputs(vid)
pipe.build()
iter_num = pipe.reader_meta("Reader")["epoch_size"]
for _ in range(iter_num):
pipe.run()
def create_video_reader_pipeline(sequence_length, files, crop_size):
images = fn.video_reader(device="gpu",
filenames=files,
sequence_length=sequence_length,
normalized=False,
random_shuffle=True,
image_type=types.RGB,
dtype=types.UINT8,
initial_fill=16,
pad_last_batch=True,
name="Reader")
images = fn.crop(images,
crop=crop_size,
dtype=types.FLOAT,
crop_pos_x=fn.uniform(range=(0.0, 1.0)),
crop_pos_y=fn.uniform(range=(0.0, 1.0)))
images = fn.transpose(images, perm=[3, 0, 1, 2])
return images
def init_video_data():
batch_size = 2
video_directory = os.path.join(os.environ['DALI_EXTRA_PATH'], "db",
"video", "sintel", "video_files")
video_files = [
os.path.join(video_directory, f)
for f in sorted(os.listdir(video_directory))
]
video_pipe = dali.pipeline.Pipeline(batch_size, 3, 0, seed=16)
with video_pipe:
input = fn.video_reader(device="gpu",
filenames=video_files,
sequence_length=32,
stride=5)
video_pipe.set_outputs(input)
video_pipe.build()
out = video_pipe.run()
in_seq = out[0].as_cpu().at(0)
return in_seq
