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Hello Dr Thomas
I noticed that in your paper, the encoder of rigid KPFCNN has five layers. Each layer contains two convolutional blocks.And in your pytorch version, it seems like there are three conv…
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Hi,
Great work and thanks for releasing the Code.
Can you please suggest how one can use additional features such as normals?
Thanks in Advance.
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Hello, an error ocurred when I tried to train the S3DIS dataset:
Traceback (most recent call last):
File "tools/train.py", line 223, in
main()
File "tools/train.py", line 212, in main
…
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/tmp/pip-req-build-vhjlnmnc/aten/src/ATen/native/cuda/IndexKernel.cu:135: operator(): block: [55,0,0], thread: [102,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` fai…
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Thank you for your awesome work!
I found the mIOU on S3DIS Area5 in your official paper. Could you release your detailed results for each category?
For instance: celling 98.2, wall, 99.5, clutter, …
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Hi, I see your scannet table has results of point transformer, so are the training parameters the same as the point transformers of s3dis?
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Hi, dear authors.
According to the script `run_s3dis_PointMixer.sh`, I train the PointMixer on the S3DIS and evaluate it in the setting of `npts=800k`. The mIoU of the evaluation only reach 69.11, wh…
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Hi Liu,
Do you and your team have any plan to open source the code on S3DIS (ei. data pre process)? Or could you give some idea about how to reproduce it? Many thanks.
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Thanks for your great work!
When I was doing the self-training, the system reported some errors.
******************* Get Pseudo Label Confidence *********************
train: 0%| …
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Hi,
Great work and thanks for releasing the Code.
There is an error below, Is it related to numpy? Thanks a lot.
''[07/12 10:37:08 S3DIS]: Successful Loading the ckpt from log/s3dis/s3dis-train-…