Comments (5)
This is rarely hard to parse. It might be something wrong with the environment. Have you tried to train any other well-known models? For example, my codebase is built on this repo. Can you try it first? It's more easier to debug since it's simpler and lots of people have been using it.
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It depends. Sampling and grouping are done in C++. For architecture changes, you can look into the pointnet2_modules.py file.
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Feel free to reopen if you have follow up questions.
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@zaiweizhang : thank you very much for your suggestion, I will try with Votenet first.
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@zaiweizhang : I uninstall pytorch==1.4.0 and install pytorch==1.2.0, then the bug disappear :) . Environment from PointNet++ to VoteNet, to H3DNet is very difficult to customize due to extend library of pointnet write by C++ , I think ?
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Related Issues (20)
- How to use H3DNet on custom dataset? HOT 4
- Request for trained models. HOT 3
- Doubt regarding heading angle and box sizes !! HOT 5
- Evaluating on custom data/images HOT 6
- OSError: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.27' not found HOT 12
- ImportError: Could not import _ext module. HOT 13
- Performance of a model with single backbone HOT 6
- Can you share with us pretrained model ? HOT 3
- Questions on implementation details HOT 4
- Question about data augmentation on ScanNet HOT 1
- RuntimeError: Error(s) in loading state_dict for DataParallel: HOT 2
- Finetunning H3DNet on Sub ScannetV2 ( 3 class only) HOT 8
- Train H3DNet on Stanford 3D-Semantics Dataset HOT 4
- viewpoint.json HOT 17
- Error when train on sunrgbd HOT 3
- Visualizations HOT 2
- Problems for pre-processed data HOT 1
- One inplace error HOT 1
- Pre-train model for H3DNet?
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