# get the model.
model = Extractor()
# Loop through data.
pbar = tqdm(total=len(data.data) * 3)
for video in data.data:
frames = data.get_frames_for_sample(video)
# Now downsample to just the ones we need.
frames = data.rescale_list(frames, seq_length)
# print frames
# print len(frames)
for i in range(3):
frames_of_sixteen = data.get_frames_of_sixteen(frames)
# Get the path to the sequence for this video.
path = '/home/wpc/sequences/' + video[2] + '-16-' + str(
seq_length) + '-' + str(i) + '-features.txt'
# Check if we already have it.
if os.path.isfile(path):
pbar.update(1)
continue
# Now loop through and extract features to build the sequence.
sequence = []
for image in frames_of_sixteen:
features = model.extract(image)
sequence.append(features)
