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Hello, I encountered an issue during preprocessing S3DIS data, how can I solve it?
(isbnet) root@autodl-container-58ce11bf52-76ea3b1f:~/autodl-tmp/ISBNet-master/dataset/s3dis# python prepare_s3di…
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the s3dis benchmark shows model parameter are 24.1M,but the paper shows
model parameters are 46.2M.
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Hello,
First, thank you so much for sharing this amazing open-source project!
All I have are coord, color, and normal data. I converted my data to the S3DIS dataset format and saved them as .npy…
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All I have are coord, color, and normal data. I converted my data to the S3DIS dataset format and saved them as .npy files to run the `s3dis/semseg-pt-v3m1-1-ppt-extreme` test. However, I keep encount…
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I download the Stanford3dDataset_v1.2,how can I processing it to the same as you did?
I used "python pointcept/datasets/preprocessing/s3dis/preprocess_s3dis.py --dataset_root /root/autodl-tmp/Stanfor…
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Thank you very much for your work!
I have a question: How is the S3DIS data set preprocessed into PTv3 input format? Is it something like PointNet++ where you cut it into a grid and you input 4096 po…
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Hey, thanks for the method.
A simple inference on the provided S3DIS pretrained model on Area_1* gives AP of 0.003?
`python tools/test.py configs/softgroup_s3dis_fold5.yaml work_dirs/softgroup_s3d…
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Hi, Thanks for your work.
I am following your tutorial on [https://towardsdatascience.com/point-net-for-semantic-segmentation-3eea48715a62](url). According to that before training the model I need to…
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Dear authors,
Thanks for your great work. As I mentioned in the title, how do you generate superpoints for S3DIS? Is there any code can be referred for the training of S3DIS?
Best
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I could train the model with the S3DIS dataset. However, for validation and testing, I am facing this error.
`python tools/test.py configs/softgroup_s3dis_fold5.yaml work_dirs/softgroup_s3dis_fold5/l…