Comments (12)
It's very interesting.I solved this problem by installing open3d==0.12.0, the previous version was 0.13.0.
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Sorry, I can't see why this is happening without any traceback. Maybe try pdb
and see where this error comes from?
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I try to use ipdb to find out where the problem is,I found that when running to line 86 or line 90, the error will occur
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Great! I was using open3d==0.12.0.
Line 101 in a60495b
Let me add this to README.
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It's very interesting.I solved this problem by installing open3d==0.12.0, the previous version was 0.13.0.
hello! I want to know that if your experimental results are consistent with the success rate in the paper. The results i reproduced were 5% lower than the paper.
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It's very interesting.I solved this problem by installing open3d==0.12.0, the previous version was 0.13.0.
hello! I want to know that if your experimental results are consistent with the success rate in the paper. The results i reproduced were 5% lower than the paper.
Hello!I also encountered this problem you mentioned. But it seems that my success rate is lower in the sence of pile and packed.Only when the object is blocks, the success rate will be the same as in the paper
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Hi guys, are you using the pre-trained model I shared or you train the model again by yourself?
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Hi guys, are you using the pre-trained model I shared or you train the model again by yourself?
I found some interesting things. When I only use the CPU to train 5 epochs, the result is better than 10 epochs under the GPU. The training parameters are the same as those given in the project
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Hi guys, are you using the pre-trained model I shared or you train the model again by yourself?
I found some interesting things. When I only use the CPU to train 5 epochs, the result is better than 10 epochs under the GPU. The training parameters are the same as those given in the project
I've never use CPU for training. And the model I released was trained for 20 epochs. I just found the default argument is 10 epoches. That might be the problem😂.
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Hi guys, are you using the pre-trained model I shared or you train the model again by yourself?
I found some interesting things. When I only use the CPU to train 5 epochs, the result is better than 10 epochs under the GPU. The training parameters are the same as those given in the project
I've never use CPU for training. And the model I released was trained for 20 epochs. I just found the default argument is 10 epoches. That might be the problem.
okay, thank you very much.
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Related Issues (20)
- New dataset HOT 3
- Visualizing on custom dataset HOT 9
- Visualization of data generation HOT 2
- visual HOT 1
- How to use GIGA on real robot? HOT 2
- how to query at a higher resolution of 60×60×60 HOT 4
- Installation error: " LINK : fatal error LNK1181: can not open input file“m.lib” " HOT 4
- About NVIDIA Driver in WSL2 HOT 5
- Scene Descriptor HOT 2
- [Question] How to get the 3d reconstruction at inference time? HOT 6
- No module named vgn HOT 2
- libmesh failed! HOT 2
- question about GIGA(HR) HOT 1
- Train GIGA HOT 1
- Can't log _aff.obj when running sim_grasp_multiple.py HOT 1
- Some confusion in the paper HOT 2
- The program that generates data gets stuck in the first loop HOT 2
- The time to generate the training set HOT 1
- Re-implentation in real world HOT 6
- Did you consider trying to avoid using the grasp data on the wrong voxels? HOT 2
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