GIGA
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UT-Austin-RPL
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
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 Hello, how to the get these figures?
hi, when i run the command: `python scripts/construct_dataset_parallel.py --num-proc 40 --single-view --add-noise dex /path/to/raw/data /path/to/new/data` An error like this:  and i change the num-proc into 1 An error like...
1. Why process "pos" in dataset like the line: https://github.com/UT-Austin-RPL/GIGA/blob/d67c4388d334babe6c11c1555a6e848fb4828c84/src/vgn/dataset_voxel.py#L35 2. Why the "self.size" in https://github.com/UT-Austin-RPL/GIGA/blob/d67c4388d334babe6c11c1555a6e848fb4828c84/src/vgn/simulation.py#L37 define like this? 3. Why the do not use "pos" in " x, y,...
May I ask what software did you use to visualize the grasp afforance? colored like this。。。 
Hello, may I ask some questions about datasets? Does the dataset used to train the model contain one million positive samples and one million negative samples? How much time does...
When I run the program that generate-data as instructed in the Readme.md, it got stuck on the first loop. Then I added print to locate where the program was stuck,...
When I trained the GIGA, I have this problem File "/home/wzh/GIGA/src/vgn/dataset_voxel.py", line 98, in read_occ path_idx = torch.randint(high=len(occ_paths), size=(1,), dtype=int).item() RuntimeError: random_ expects 'from' to be less than 'to', but...
hi, first of all, thanks for your contribution in the community! My question is about some detail of randomly query grasp sample given a trained model. In VGN, after we...
Do you have the scene descriptor in the pre-generated dataset provided? Such that we can reconstruct the scene while leverage the annotated grasping pose? Thanks!
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Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations