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Installation

We recommend the user to use conda with the associated environment for the environment.

conda env create -f environments/environment.yaml
conda activate rs_tools

Pip (Alpha-Version)

We can install via the github repo through pip.

pip install git+https://github.com/space-ml/rs_tools.git

Warning: This is an alpha version.

Development Version

git clone https://github.com/space-ml/rs_tools.git
cd rs_tools
poetry install

Tip

We advise you to create a virtual environment before installing:

conda env create -f environment.yaml
conda activate rs_tools

and recommend you check your installation passes the supplied unit tests:

poetry run pytest tests/

Instrument To Instrument (Work-in-Progress)

We have an example where we could do inference using a pre-trainined model from the ITI repo. This would require us to install the itipy repo directly.

We can use

conda env create -f environments/environment_iti.yaml
conda activate rs_tools

Please see the iti repo with the example for more details.