Comments (1)
Thank you for asking. It is great that you can train the model.
As for this reported error, I am very confused.
Because my code should have checked det(R) to make sure that all det(R) >0.
Otherwise, the negative det(R) should be manually corrected. Please check
Line 193 in ebe3005
This is a common operation, and you can also check
https://github.com/yewzijian/RPMNet/blob/74f6531968bc084e44231e397da640432cd42a4b/src/models/rpmnet.py#L137
Sometimes, you may get the svd numerical errors (caused by PyTorch), but I do not know why the reported error could arise...
As for data preparation, please follow:
https://github.com/paul007pl/GMCNet#data
No additional pre-processing operations are required.
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Related Issues (12)
- The dimension of the point descritptors HOT 2
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- MVP HOT 2
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- About code HOT 1
- 指标评测代码能开源吗 HOT 5
- cannot import name 'MVP_RG' from 'dataset' HOT 1
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