Comments (2)
ErlerPhilipp
commented on June 14, 2024
That's where you put point cloud files ('.off', '.ply', '.obj', '.stl') that you want to reconstruct. Create a new folder in datasets with a name of your choice.
You need to change line 168 in make_pc_dataset.py to your DATASET_NAME. You may also want to change the setting target_num_points to disable the subsampling. Keep in mind that P2S will perform poorly on large point clouds.
Then, run make_pc_dataset.py.
After that, you need to modify an evaluation script in experiments to point to your new point cloud dataset and run it. Which one depends on the model you use. You'll find the reconstructions in the matching result folder.
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ErlerPhilipp
commented on June 14, 2024
please re-open if you have other issues
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Related Issues (20)
- AttributeError: Can't pickle local object 'points_to_surf_train.<locals>.seed_train_worker' HOT 4
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- How to invoke the pretrained model? HOT 4
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- Dataset from Point Clouds for Reconstruction
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