Comments (4)
Hi, I am sure you are not stupid, and I am sorry to make this repo misleading.
This net is not based on a prior pth.
If you are training the model (from scratch), you can set the pth to be null.
After training, you can set the pth to your pretrained model and then test the model.
You can find my pretrained model in another repo "VRCNet".
Good luck~
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Thank you for your reply! Finally, I am successfully running your demo. I installed your env for about a week. I am crying... I hope I can know your network well and get a good result in your online challenge!
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You finally resolve all issues. Congrats!
Wish you good luck~
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The last question is how to convert to a CAD file?
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Related Issues (20)
- Questions about pre-trained weight and so on HOT 3
- Questions about submission. HOT 1
- Question about reply email for Private test
- Questions about private test.
- CUDA kernel failed : no kernel image is available for execution on the device HOT 1
- Questions about installation HOT 2
- Benchmark with DCP, DeepGMR, and IDAM
- Error with function vis_utils.plot_single_pcd
- question about the result HOT 1
- Is it possible to provide your script for rendering partial point cloud (or some hints)? HOT 1
- Why I got a large loss with training ECG? HOT 1
- hello author,i can not find your log folder,where is it? HOT 1
- PCN use emd:In module.py assert(n == m),return AssertionError HOT 2
- Tensor full of nan during the train of vrcnet
- Hi author,Can you provide the trained weight files (model.pth)
- cascade_gan
- about train.log
- ERROR: Could not build wheels for pycocotools, which is required to install pyproject.toml-based projects HOT 1
- Training on multiple gpus HOT 1
- Welcome update to OpenMMLab 2.0
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