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View Code? Open in Web Editor NEWSAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation
Home Page: https://mutianxu.github.io/sampro3d/
License: Apache License 2.0
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation
Home Page: https://mutianxu.github.io/sampro3d/
License: Apache License 2.0
Thank you for your excellent work. I've noticed that you've employed a new method to obtain quantitative results, but I haven't seen this part in the code. Could you please share this portion of the code?
Thanks.
Hello!
Thank you for your wonderful work. I have encountered the following two bugs in my reproduction, in which I have not changed any core code.
The first bug I encountered was when I followed the steps to run "main.py":
Line 165 in 2733583
mask_2d_3d = mask[mapping[:, 0].type(torch.long), mapping[:, 1].type(torch.long)]
I encountered the second bug after resolving the first one:
So I fixed the bug by moving line 377 before line 358.
Line 377 in 2733583
Hope these get your attention. @mutianxu
Thanks for your excellent work. Can you please tell me what is the filtering strategy in automatic-SAM mentioned in the paper? I didn't find the filtering strategy in segment anything.
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