# Pytorch Implementation of Point Transformer
基于Point Transformers复现点云分割任务
## 准备数据:
使用连接下载 **ShapeNet** 数据集:[下载地址](https://shapenet.cs.stanford.edu/media/shapenetcore_partanno_segmentation_benchmark_v0_normal.zip)
下载完成后解压到 `data/shapenetcore_partanno_segmentation_benchmark_v0_normal`
## 训练:
```bash
python train.py
```
## 实验结果:
| Models | Accuracy | cat.mIOU | ins.mIOU |
| ------------------------ | -------------- | ------------ | ------------ |
| Point Transformer (paper) | None | 0.837 | 0.866 |
| Point Transformer (ours) | 0.93456 | 0.79787 | 0.83578 |
】
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基于Pytorch复现Point-Transformer,用于ShapeNet数据集点云分割
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基于Point Transformers复现点云分割任务 ## 准备数据: 使用连接下载 **ShapeNet** 数据集 ## 训练: ```bash python train.py ``` ## 实验结果: | Models | Accuracy | cat.mIOU | ins.mIOU | | ------------------------ | -------------- | ------------ | ------------ | | Point Transformer (paper) | None | 0.837 |
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