Comments (3)
- I visualize the TSDF with matplotlib in a jupyter notebook so I don't have a well-written function for that. I think you can save
tsdf_vol
to numpy array here and visualize offline. - I think running this script with argument
--vis
should give you the affordance visualization. Can you try it?
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Hey,
- Thanks I’ll try that out!
- I did use the
—vis
command but as I explained above, no affordance related files get saved as obj. [Btw, I’m using the pretrained giga model on piles dataset]
from giga.
Hey,
- Thanks I’ll try that out!
- I did use the
—vis
command but as I explained above, no affordance related files get saved as obj. [Btw, I’m using the pretrained giga model on piles dataset]
- Works! Thank you
- Works, but I added a line in
clutter_removal.py
to export:visual_mesh.export('<path-to-save>',file_type='obj')
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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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