Comments (2)
This is a workaround to make the class work for the sequences without public ground truth.
For sequences with ground truth tpose should always be matched.
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For some sequences such as fr1/desk2, there are actually several frames (9 out of 640 for fr1/desk2) not matched with ground-truth poses. This causes large evaluation errors.
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Related Issues (14)
- when will you release the code HOT 1
- feature request: docker file support
- Extracting depth metric
- registrering two grandient with name 'scaleInvariantGradient' HOT 1
- cannot compile lmbspecialops HOT 2
- op_kernel.h: no such file or directory HOT 3
- Training code
- When will the mapping code be released HOT 2
- Tracking code with given weights give very high RMSE HOT 3
- Can you please provide the data you trained your models on? HOT 1
- Is there a way to retrain the model?
- large testing error on freiburg1_desk2 (example_advanced_sequence.py)
- How to use the combined "tracking and mapping" mode? HOT 4
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