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I'd like to start this ticket off with: This repo is amazing! We're just starting to train models with it and your work is SotA and the weights are so tiny! Thank you for all of your hard work!
T…
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[This is somewhat related to #287, but I'll open another issue so as not to pollute the other issue]
Hi @rpautrat, thanks for this work and also for providing support for the repo! I am trying to r…
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Hi,
I have some questions about the pre-processing of superpoints:
The first figure is my expect figure of the superpoints(i.e. the superpoints are more bigger)
After using SPT's data prep…
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Hi, thanks for your amazing job!
I am interested in the implementation of Superpoint-Graphs Computation, could you tell me where the implementation please?
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I'm having a bit of trouble understanding the architecture for this project.
1. Input an image of some size `HxW` is provided at the start of the network. In the [Demo](https://github.com/MagicLea…
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Hello,
Suppose we have two datamodule, for instance s3dis and s3disroom.
I would like to train a model on s3dis and validate over s3dis and s3disroom to check how the model behave on a subsample o…
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As I mentioned in #319 I have problems to reproduce the [ecc implemenation](https://github.com/mys007/ecc) using pytorch_geometric. I found some differences between the results obtained, first one is…
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Hi author:
In step2, if I must train the network? Does all the inputs of step2 generated from step1(train test and predictions)?
Yours!
Best regards!
Jurin
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Do you think it is possible to use Cuda to accelerate the speed of handcrafted partition?
Currently, it takes 3-5 seconds to process a 0.04 voxelized file in the S3DIS dataset and I am thinking of…
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I followed the readme of S3DIS to partition and train a customized dataset using SPGraph.
The code worked well but I observed a quick overfitting of the model.
I checked the partitioned point cl…