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timmeinhardt avatar timmeinhardt commented on June 19, 2024 1

Can we close this issue?

from tracking_wo_bnw.

timmeinhardt avatar timmeinhardt commented on June 19, 2024

I just tested Tracktor++ on the CVPR 2019 test set and it took 1667 seconds to finish all 4 sequences. I updated the MOTChallenge webpage accordingly.

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rambleramble avatar rambleramble commented on June 19, 2024

thanks for the update!

My primary interest is the speed of the performance.

If possible, could you provide some insights on how to improve the speed? Or which module (such as re-id) that can be further optimized in order to gain a further speed-up?

Also, if the number of detected object (peoples) is reduced (say only detect major characters in an image by setting a higher detector threshold ), will this improve the process speed?

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timmeinhardt avatar timmeinhardt commented on June 19, 2024

We did not evaluate the runtime of the different steps in our Tracktor algorithm. However, there are multiple things one could do to speed it up. Our object detector is called multiple times. I think the number of calls per frame could be reduced. Running an object detector with a different backbone, e.g., ResNet34 instead of ResNet101, is a possibility if top tracking performance is not essential.

Changing the trajectory killing or bounding box initialisation thresholds should change the number of detected objects but I think the potential for reducing the runtime is comparatively small.

But again, this is something that has to be evaluated to be really sure.

from tracking_wo_bnw.

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