Read signals from colorimetric sensors even in non-uniform illumination.
Details on Models and Data can be found at https://www.medrxiv.org/content/10.1101/2025.09.21.25336258v1
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── src <- Source code for use in this project.
│ ├── main.py <- Main script to run the pipeline
│ │
│ ├── data <- Scripts to download or generate data
│ │
│ ├── train <- Scripts to train the denoising/prediction models
│ │
│ ├── test <- Scripts to evaluate the denoising/prediction models
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
└──