Closed severous closed 2 years ago
DarkLabel dose not support MOT's format. However, you can define your own format in darklabel.yml like that:
format_mot:
data_fmt: [fn, id, x1, y1, w, h]
gt_file_ext: "txt"
gt_merged: 1
And then, you can append "conf,-1,-1,-1" for each line after finishing your annotation.
Another way in case any noisy value for
format_mot:
data_fmt: [fn, id, x1, y1, w, h, difficult, difficult, difficult, difficult]
gt_file_ext: "txt"
gt_merged: 1
Now it support MOT format
@darkpgmr Thank your for your Open source tools. Since the MOT dataset is given in the form of pictures, when annotating it will appear save failed: format specifier 'fn' cannot be applied for images! How can I solve this problem?
@darkpgmr Thank your for your Open source tools. Since the MOT dataset is given in the form of pictures, when annotating it will appear save failed: format specifier 'fn' cannot be applied for images! How can I solve this problem?
hello I got the same problem, have you solved it?
@darkpgmr Thank your for your Open source tools. Since the MOT dataset is given in the form of pictures, when annotating it will appear save failed: format specifier 'fn' cannot be applied for images! How can I solve this problem?
hello I got the same problem, have you solved it?
got it it has to be video...
@darkpgmr How to convert to MOT's annotation format for multi-target tracking