Comments (1)
Red: predicted box.
White: groundtruth box.
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Related Issues (20)
- get unstable results when evaluate the model HOT 3
- the choice of loss function and learning rate HOT 6
- an error about the use of exp_lr_scheduler HOT 6
- Error when executing test.py HOT 1
- Error when executing test.py which is similar to the error #17 HOT 9
- Model Load Error HOT 1
- About helper.py HOT 7
- pretrained model HOT 8
- evaluate.py produces different results for demo.py? HOT 2
- Training content HOT 3
- The loss is not drop any more on got1k dataset? HOT 4
- Inference on KITTI HOT 1
- bounding box recenter and uncenter? HOT 1
- Tracking of multiple Objects?
- Code cleanup
- help on annotation of Alov300++
- The loss explodes
- Performance is not ideal HOT 1
- [Bug] Generate batch sample function HOT 1
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