Sentinel-2 Super-Resolution Segmentation Network

Getting started



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.

mamba create --name s2s2net --file environment-linux-64.lock
mamba install --name s2s2net --file environment-linux-64.lock

Running jupyter lab

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 &


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