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resize_and_summarize.py
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resize_and_summarize.py
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import argparse
import multiprocessing
import os
import cv2
import pdb
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--raw_dir', type=str, default='raw')
parser.add_argument('--output_dir', type=str, default='resized')
parser.add_argument('--output_height', type=int, default=180)
parser.add_argument('--output_width', type=int, default=240)
args = parser.parse_args()
return args
def payload(paras):
args, i_video, split = paras
in_dir = os.path.join(args.raw_dir, split, '{:03d}'.format(i_video))
out_dir = os.path.join(args.output_dir, split, '{:03d}'.format(i_video))
os.makedirs(out_dir, exist_ok=True)
csv_name = os.path.join(out_dir, 'images.csv')
with open(csv_name, 'w') as f:
for i_frame in range(500):
in_name = os.path.join(in_dir, '{:08d}.png'.format(i_frame))
frame = cv2.imread(in_name, cv2.IMREAD_GRAYSCALE)
frame = cv2.resize(frame, (args.output_width, args.output_height))
out_name = os.path.join(out_dir, 'frames_{:010d}.png'.format(i_frame))
cv2.imwrite(out_name, frame)
timestamp = int(i_frame / 120 * 1e9) + 1
f.write('{},frames_{:010d}.png\n'.format(timestamp, i_frame))
def main():
args = parse_args()
with multiprocessing.Pool(8) as pool:
for split, num_videos in [('train', 240), ('val', 30)]:
pool.map(payload,
[(args, i_video, split) for i_video in range(num_videos)])
if __name__ == '__main__':
main()