Comments (3)
pmixer
commented on May 28, 2024
@sydney0zq C++ version is user-friendly if you have already configured caffe, sorry for the late reply but the performance on OTB is just slightly worse than expected, while it may depends on training iteration number and even my GPU device.
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sydney0zq
commented on May 28, 2024
Oh, it seems that I have already reproduce the origin results on VOT15, even higher by 1% performance. Sorry for the not timely issue.
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LiangXu123
commented on May 28, 2024
@sydney0zq Hi,HOW did you reproduce the result on VOT2015 ,have you make any changes to this repo ? and I find two issues raised by you:#15 and #14, did you find out that matters?
I am really curious about whether this repo works. Thank you very much
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Related Issues (20)
- Can it track by giving initial bounding box HOT 1
- problem in goturn/train/train.py HOT 3
- Preprocess minor bug in `goturn/network/regressor.py` HOT 1
- Very bad in 30fps webcam, with the pretrained model HOT 1
- why pre trained caffe model needed even while training from scratch? HOT 1
- Implementation Error HOT 2
- Another Implementation Error in tracker_trainer.py
- Integration with vot-toolkit HOT 2
- How to try on videos with no ground truth? HOT 4
- why the train loss doesn't converge? HOT 1
- Test code with CPU only? HOT 1
- how would this repo works on 1fps data?
- detection on vedio
- Scaling it up
- Error - train_tracker.sh
- error while testing HOT 2
- ModuleNotFoundError: No module named 'video' HOT 1
- PyTorch implementation link broken HOT 4
- alov300 annotation
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