Python interferogram generator. This set of scripts was created as the neural network training datasets generator for the paper: "DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration".
This project was created to make data set for neural network.
To run this project you have to install following packages:
pip install numpy
pip install matplotlib
pip install PIL
pip install numba
pip install cupy
To run you have to run runInterGen.py. With examplary command
python runIntergen.py [folder for results]
For help with parsing arguments
python runIntergen.py --help
If you want to edit generation parameters modify file settings.json.
To run you have to run runChambolle.py. With examplary command
python runChambolle.py [dataset directory] [output] [mode] [number of images] [starting image id]
For help with parsing arguments
python runChambolle.py --help
- Konstanty Szumigaj - Initial work - Konstantysz
This project is licensed under the MIT License - see the LICENSE.md file for details