TorchEEG文档_学习笔记1【代码详解】-一、用户文档

1.安装Pytorch

TorchEEG依赖于PyTorch,根据系统、CUDA版本等信息完成PyTorch(>=1.8.1)的安装:

# Conda
# please refer to https://pytorch.org/get-started/locally/
# e.g. CPU version
conda install pytorch==1.11.0 torchvision torchaudio cpuonly -c pytorch
# e.g. GPU version
conda install pytorch==1.11.0 torchvision torchaudio cudatoolkit=11.3 -c pytorch

# Pip
# please refer to https://pytorch.org/get-started/previous-versions/
# e.g. CPU version
pip install torch==1.11.0+cpu torchvision==0.12.0+cpu torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cpu
# e.g. GPU version
pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113

2.安装TorchEEG

conda安装:

conda install -c tczhangzhi -c conda-forge torcheeg

pip安装:

pip install torcheeg

安装尚未完全发布的最新TorchEEG功能

pip install git+https://github.com/tczhangzhi/torcheeg.git

3.安装与图算法的插件

用于将数据集中的脑电图转换为图结构并使用图神经网络对其进行分析。

# Conda
# please refer to https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html
conda install pyg -c pyg

# Pip
# please refer to https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html
# e.g. CPU version
pip install torch-scatter torch-sparse torch-cluster torch-spline-conv torch-geometric -f https://data.pyg.org/whl/torch-1.11.0+cpu.html
# e.g. GPU version
pip install torch-scatter torch-sparse torch-cluster torch-spline-conv torch-geometric -f https://data.pyg.org/whl/torch-1.11.0+cu113.html
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