40 lines
983 B
Markdown
40 lines
983 B
Markdown
# pointMLP-pytorch
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Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
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## Install
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Please ensure that python3.7+ is installed. We suggest user use conda to create a new environment.
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Install dependencies
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```bash
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pip install -r requirement.txt
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```
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Install CUDA kernels
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```bash
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pip install pointnet2_ops_lib/.
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```
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## Classification ModelNet40
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The dataset will be automatically downloaded, run following command to train
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```bash
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# train pointMLP
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python main.py --model pointMLP
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# train pointMLP-elite
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python main.py --model pointMLPElite
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# please add other paramemters as you wish.
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```
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By default, it will create a fold named "checkpoints/{modelName}-{msg}-{randomseed}", which includes args.txt, best_checkpoint.pth, last_checkpoint.pth, log.txt, out.txt.
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To conduct voting experiments, run
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```bash
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# please modify the msg accrodingly
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python voting.py --model pointMLP --msg demo
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```
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## Classification ScanObjectNN
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## Part segmentation
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