Comments (4)
The pre-trained checkpoint for dexgrasp_policy is in the repo.
And we just uploaded the pre-trained checkpoints for dexgrasp_generation here.
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Great thanks!
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Hi, I attempted to load the pretrained checkpoint for dexgrasp_generation, but I encountered an issue with mismatched keys for RotationNet, GlowNet, and ContactNet. Could you please advise on how to modify them in order to correctly load these checkpoints?
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Thank you for your interest in our work!
Did you encounter problems for all 3 models? And could you provide the details of the error information?
Hi, I attempted to load the pretrained checkpoint for dexgrasp_generation, but I encountered an issue with mismatched keys for RotationNet, GlowNet, and ContactNet. Could you please advise on how to modify them in order to correctly load these checkpoints?
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Related Issues (20)
- Joint training in grasp generation HOT 4
- Distilled policy student model checkpoint
- Provided checkpoint model is inconsistent with the latest code HOT 8
- "It seems that I'm missing some utility files related to 'data'." HOT 2
- CSDF ---identifier "CHECK_EQ" is undefined HOT 3
- The error "ValueError: num_samples should be a positive integer value, but got num_samples=0" occurs during data loading. HOT 1
- I have a question about training time HOT 2
- The code for the Dataset Generation HOT 2
- Possible Bug in pointcloud observation. HOT 1
- Question about object data. HOT 2
- Will you finished the dex_generation part? HOT 1
- Question about data HOT 1
- good
- Dataset issues HOT 17
- [Error] [carb.gym.plugin] Gym cuda error: out of memory: ../../../source/plugins/carb/gym/impl/Gym/GymPhysX.cpp: 1721 HOT 15
- Questions about the code in dex_dataset.py. HOT 3
- Bad allocate and PyTorch.cannot allocate memory HOT 8
- seemed missed a file /algo/pn_utils/maniskill_learn/utils/data HOT 2
- Choose "random" or "grid" for function generate_queries in ipdf_network.py HOT 2
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