Comments (3)
If I remember correctly, we re-simulated the data with a rejection sampling method, so it is not a subset of the previous non-constrained data.
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Great Thanks.
One more thing I want to clarify. Does it use same data split in the training data and val data for the object between non-constrained and volume constrained?
I mean is there any possible that the non-constrained training data can be found in volume-constrained test data
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I believe so, the data split should be the same. You can check with the split file to see if there is overlap in the object ID.
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Related Issues (15)
- Pretrained models to reproduce paper's results HOT 4
- The 'info file' for splitting train/val list in trivial training HOT 2
- Some clarification questions HOT 22
- Including a new loss in the computation graph HOT 6
- Problem with scripts/vis.py HOT 10
- Pretrained models HOT 23
- A bug in line 264 of base_model.py HOT 1
- Unbroken models HOT 6
- Experimental settings HOT 4
- May I suggest a more general library for saving point clouds, other than open3d? HOT 4
- Install problem HOT 7
- A question on the non-existent mesh HOT 1
- A question on duplicated data in BB dataset HOT 3
- Is it possible to have text description of the object HOT 1
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