pct-jittor-modelnet40: Point Cloud Transformer for ModelNet40
This project is a Jittor implementation of the Point Cloud Transformer (PCT) for 3D shape classification on the ModelNet40 dataset. It was completed as part of the Graphics Experiment PA3.
Model Performance
Framework: Jittor
Target Accuracy: 80%
Achieved Accuracy: 87.64%
Hardware used for training: NVIDIA RTX 4090 (Cloud)
Requirements
Python >= 3.8
Jittor >= 1.3.1
NumPy
Running instructions
Ensure the ModelNet40 dataset is located in the data/ directory.
Run the script:
```bash
python3 pct.py
关于
A Jittor implementation of Point Cloud Transformer (PCT) for ModelNet40 3D shape classification. This project is completed for Graphics Experiment PA3 with 87.64% accuracy
pct-jittor-modelnet40: Point Cloud Transformer for ModelNet40
This project is a Jittor implementation of the Point Cloud Transformer (PCT) for 3D shape classification on the ModelNet40 dataset. It was completed as part of the Graphics Experiment PA3.
Model Performance
Requirements
Running instructions
data/directory.