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Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
Hi, thanks for sharing this great work, I can't run evaluation during training because I don;t have the gt_instance_data_txt
dir in scannet and seems the script utils/gt2eval.py
is not working for me as well, could you give some instructions for that? thanks
Hi, thanks for this new approach in 3D instance segmentation. I'm interested in replicating your results for the ARKitScene dataset. Would you be able to release a pretrained model on the ARKitScene dataset? Thanks!
Hi,
Thanks a lot for your great work. I am really interested in your predictions for the ARKitScenes dataset. Is it possible to release these annotations?
First of all, congratulations for your great work. I currently use softgroup to perform instance detection and want to replace it with your work. I only need to make the inference with a 3d scene obtained by Bundlefusion. I am a windows user and have installed all the python packages with no problem. The only problem I have found is the use of MinkowskiEngine since it is not compatible with Windows. My question is if you know if I can make the Box2Mask method compatible with Windows, taking into account that I am only going to perform the inference of the model and that the MinkowskiEngine only works on Linux. Thanks for your attention
I would like to express my appreciation for your notable work in the field of weakly supervised 3D object instance segmentation (3DIS). Your contributions have been significant.
I am interested in reproducing the results you have achieved on ArkitScenes3D. However, it appears that, at present, only the ScannetV2 weights are available.
I eagerly anticipate your response and guidance in this matter.
Thank you for your time and assistance.
Sincerely,
PhucNDA.
Hi, thanks for sharing this work, seems the training can't stand for several epoches, it can cause oom on a 48GB RAM machine even, seems the code would result in host memory leak
Could you please share how you calculate the superpoints for S3DIS data at link (oversegmentation zip file) https://github.com/jchibane/Box2Mask/blob/master/docs/s3dis.md
Thank you very much.
Where is the definition of "get_sparse2dense()" called in method Evaluater.s3dis_eval() in file "models/evaluation.py"?
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