Pre-installation
- Ensure that Python 3.8 or higher is installed
- 建议使用支持CUDA的GPU以获得更好的性能(非必须)
Detailed installation steps
- Cloning the code base:
git clone https://github.com/VAST-AI-Research/TripoSF.git - Go to the project catalog:
cd TripoSF - Install the dependencies:
pip install -r requirements.txt - 下载预训练模型并放入
checkpoints/file (paper)
基本测试
运行以下命令测试安装是否成功：
python run.py --image test.jpg --output-dir output/
如果程序能正常执行并无报错，说明安装配置完成。
caveat
- It is recommended to use a virtual environment to avoid dependency conflicts
- GPU用户请确保安装了匹配CUDA版本的PyTorch
This answer comes from the articleTripoSF: A useful tool for quickly generating high-resolution 3D modelsThe
May not be reproduced without permission:AI productivity tools " 如何安装和配置TripoSF？
English 
简体中文 
日本語 
Deutsch 
Português do Brasil