pip install -r requirements.txt
Data link: https://drive.google.com/drive/folders/11Tu2-hhs92YUfApI6zG6UzioaYAq0t2a?usp=sharing
Download the data from the above link and place it in the data folder such that each of the extracted material folder has data as its parent directory, example: ./data/Rosewood_1
Recovery code is in recovery folder, and classification has the code for classification
Inside the recovery directory, run the python file recoverKandEpsP.py (or use it as a jupyter notebook using VS Code feature, which uses #%% to convert the cells into executable jupyter code blocks)
Inside the classification directory, run the python file generateTrainingDataset.py (or use it as a jupyter notebook using VS Code feature) to generate training set trainingData.csv, and then run classify.py to use the classification algorithms.
Please contact the authors or raise an issue on github if something seems broken or does not work, thanks!
aniket dot d at rice dot edu
vishwanath dot saragadam at rice dot edu