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Thank you for your excellent work!
I built a custom dataset modeled after the format of the s3dis dataset and got good results on the IoU and accuracy values for the semantic segmentation task, but h…
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when I try to process s3dis datasets, there is an error:
Processing: Area_3
Traceback (most recent call last):
File "prepare_data_inst.py", line 165, in
room_label) = read_s3dis_format(ar…
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First of all, thank you so much for this great work! Having multiple models all in one place saves a lot of time for others when benchmarking!
I'm wondering about testing stv1m2 with the following …
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Hi Thomas,
Thank you so much for your fantastic work and detailed documentation.
I'm trying to get started with KPConv-PyTorch using the pretrained weights on S3DIS you kindly included. I was h…
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## Semantic3D
I submitted Semantic3D results and got the following results:
- semantic-8: 0.690
- reduced-8: 0.758
## S3DIS
I got the following results and much lower than the paper…
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Thank you for your awesome work!
I did not change the original code, and my best mIOU reproduction result on S3DIS is 67.8, which is inconsistent with the official paper. Do I need to change the sett…
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Hello, thanks for the code.
When I am trying to prepare s3dis for fine tuning I get the following error.
**line 104, in convert_to_ply
inds, collabels = ME.utils.sparse_quantize(
ValueErro…
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Hi, thanks for your code.
I'm confused about you metric calculation:
As shown in
https://github.com/POSTECH-CVLab/point-transformer/blob/8d2a38998f1ed8cd6d03fe1b671440724aa269c8/tool/test.py#L19…
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Hi, thanks for your great work, I'm new to the 3D point cloud. I want to use the S3DIS dataset for the pointcloud sementic segmentation, I found the default dataset is the ModelNet40,how I need to mod…
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``Can I use python vis_result.py for visualization, and I have modified the parameters in the file.
Error reported during operation: segmentation fatal(core dumped)
if you need the code after i edit…