Function parse_args

tutorials/ctracker/eval_motchallenge.py:17–49

()

def parse_args():
    parser = argparse.ArgumentParser(description="""
Compute metrics for trackers using MOTChallenge ground-truth data.
Files
-----
All file content, ground truth and test files, have to comply with the
format described in 
Milan, Anton, et al. 
"Mot16: A benchmark for multi-object tracking." 
arXiv preprint arXiv:1603.00831 (2016).
https://motchallenge.net/
Structure
---------
Layout for ground truth data
    <GT_ROOT>/<SEQUENCE_1>/gt/gt.txt
    <GT_ROOT>/<SEQUENCE_2>/gt/gt.txt
    ...
Layout for test data
    <TEST_ROOT>/<SEQUENCE_1>.txt
    <TEST_ROOT>/<SEQUENCE_2>.txt
    ...
Sequences of ground truth and test will be matched according to the `<SEQUENCE_X>`
string.""", formatter_class=argparse.RawTextHelpFormatter)

    parser.add_argument('--groundtruths', type=str, help='Directory containing ground truth files.')
    parser.add_argument('--tests', type=str, help='Directory containing tracker result files')
    parser.add_argument('--score_threshold', type=float, help='Score threshold',default=0.5)
    parser.add_argument('--gt_type', type=str, default='')
    parser.add_argument('--eval_official', action='store_true')
    parser.add_argument('--loglevel', type=str, help='Log level', default='info')
    parser.add_argument('--fmt', type=str, help='Data format', default='mot15-2D')
    parser.add_argument('--solver', type=str, help='LAP solver to use')
    return parser.parse_args()


def compare_dataframes(gts, ts):