Code to analyse hyperspectral measurements historical Lippmann photographs and simulate the Lippmann proces.
Gilles Baechler, Michalina Pacholska, Adam Scholefield, Arnaud Latty from LCAV
Get this repository using:
git clone https://github.com/LCAV/lippmann-photography.git
You can install all standard python requirements it (at least) two ways:
- using
pipin you favourite Python 3 environment:pip install -r requirements.txt - using
conda, that will create virtual environment for you:conda env create -f environment.yml
Data for this repository is available separately at
To visualise results view PNAS resutls.jpynb with Jupyter Notebook.
To generate data run spectrum_recovery_pool.py. Code for counting oscillations
is exceptionally in MATLAB, not python in oscillations_counting.m.
Gilles Baechler, Michalina Pacholska, Adam Scholefield, & Arnaud Latty. (2020, November 7). LCAV/lippmann-photography (Version v0.1). Zenodo. http://doi.org/10.5281/zenodo.4256775
or see http://doi.org/10.5281/zenodo.4256775 for other formats.
Copyright 2020 Gilles Baechler, Michalina Pacholska, Adam Scholefield, Arnaud Latty
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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