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I would like to find out whether it is possible to speed up the calculation using parallelism.
I am currently using it and found out that the calculation time seems to be exponential to the number of frames, e.g.
25k frames would use ~70s
75k frames would use ~700s
I am not sure whether this is proportionate to the number of frames OR the number of track_id.
The text was updated successfully, but these errors were encountered:
Discussed in #907
Originally posted by pvmilk September 6, 2023
Does anyone have brief explanation of how this is implemented?
https://github.com/open-mmlab/mmtracking/blob/e79491ec8f0b8c86fda947fbaaa824c66ab2a991/mmtrack/core/track/interpolation.py#L5C16-L5C16
I would like to find out whether it is possible to speed up the calculation using parallelism.
I am currently using it and found out that the calculation time seems to be exponential to the number of frames, e.g.
I am not sure whether this is proportionate to the number of frames OR the number of track_id.
The text was updated successfully, but these errors were encountered: