Sentinel-2 Super-Resolution Segmentation Network
To help out with development, start by cloning this repo-url
git clone <repo-url>
Then I recommend using mamba to install both non-python binaries and python libraries. A virtual environment will also be created with Python and JupyterLab installed.
cd s2s2net
mamba env create --file environment.yml
Activate the virtual environment first.
mamba activate s2s2net
Finally, double-check that the libraries have been installed.
mamba list
This is for those who want full reproducibility of the virtual environment.
Making an explicit conda-lock file (only needed if creating a new virtual environment/refreshing an existing one).
mamba env create --file environment.yml
mamba list --explicit > environment-linux-64.lock
Creating/Installing a virtual environment from a conda lock file. See also https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/managenvironments.html#building-identical-conda-environments.
mamba create --name s2s2net --file environment-linux-64.lock
mamba install --name s2s2net --file environment-linux-64.lock
mamba activate s2s2net
python -m ipykernel install --user --name s2s2net # to install virtual env properly
jupyter kernelspec list --json # see if kernel is installed
jupyter lab &