Name		Name	Last commit message	Last commit date
parent directory ..
data		data
models		models
utils		utils
.gitignore		.gitignore
README.md		README.md
config.yaml		config.yaml
main.py		main.py
requirements.txt		requirements.txt

README.md

Deep learning based denoising process

参考

Yoon, Taekeun, et al. "Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment." Combustion and Flame 248 (2023): 112583. https://doi.org/10.1016/j.combustflame.2022.112583 https://github.com/ytg7146/DU_CNN

包含目录和文件

data : 数据集下载到 data 目录 rawdataM.mat
models : 模型
utils : 需要的辅助函数
main.py : 主程序
requirements.txt : 安装的依赖
config.yaml : 配置

步骤

选择工作目录
下载数据集到目录 ./data/
conda create -n DUCNN
conda activate DUCNN
pip install -r requirements.txt
python main.py

注意

如果 GPU 内存不足，降低 batch_size