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- import argparse
- import glob
- import os
- import subprocess
- FRAME_DIST = 2
- assert (FRAME_DIST >= 1)
- def execute(cmd):
- popen = subprocess.Popen(cmd,
- stdout=subprocess.PIPE,
- stderr=subprocess.PIPE)
- for stdout_line in iter(popen.stdout.readline, ''):
- print(stdout_line.rstrip())
- for stderr_line in iter(popen.stderr.readline, ''):
- print(stderr_line.rstrip())
- popen.stdout.close()
- popen.stderr.close()
- return_code = popen.wait()
- if return_code != 0:
- raise subprocess.CalledProcessError(return_code, cmd)
- def main():
- parser = argparse.ArgumentParser(
- description='Train Global Patch Collider using MPI Sintel dataset')
- parser.add_argument(
- '--bin_path',
- help='Path to the training executable (example_optflow_gpc_train)',
- required=True)
- parser.add_argument('--dataset_path',
- help='Path to the directory with frames',
- required=True)
- parser.add_argument('--gt_path',
- help='Path to the directory with ground truth flow',
- required=True)
- parser.add_argument('--descriptor_type',
- help='Descriptor type',
- type=int,
- default=0)
- args = parser.parse_args()
- seq = glob.glob(os.path.join(args.dataset_path, '*'))
- seq.sort()
- input_files = []
- for s in seq:
- seq_name = os.path.basename(s)
- frames = glob.glob(os.path.join(s, 'frame*.png'))
- frames.sort()
- for i in range(0, len(frames) - 1, FRAME_DIST):
- gt_flow = os.path.join(args.gt_path, seq_name,
- os.path.basename(frames[i])[0:-4] + '.flo')
- assert (os.path.isfile(gt_flow))
- input_files += [frames[i], frames[i + 1], gt_flow]
- execute([args.bin_path, '--descriptor-type=%d' % args.descriptor_type] + input_files)
- if __name__ == '__main__':
- main()
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