实现了基于EEGNet的Cross Subject Emotion Recognition
数据预处理请参考 preprocess/
Directory structure:
./
├── preprocess
├── report
│ ├── pic/ # 相关图片
│ └── report.md # 实验报告
├── runs
│ └── .... # 按路径名称记录实验结果
├── basic_demo.ipynb # 展示了基本数据处理过程和模型输入输出
├── dataset.py # 用于监督学习和对比学习的数据集
├── main.py # 主函数
├── model.py # 实现了EEGNet和EEGNet2D
└── utils.py # contrastive loss，logger等功能函数
基础命令
python main.py --model EEG1D --F1 16 --D 16
更多请参考 main.py 中的 parser。
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