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Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning.
Launch in Pangeo Binder (Interactive jupyter lab environment in the cloud).
To just try out the scripts, download the environment.yml
file from the repository and run the commands below:
cd deepicedrain
conda env create --name deepicedrain --file environment.yml
pip install git+https://github.com/weiji14/deepicedrain.git
To help out with development, start by cloning this repo-url
git clone <repo-url>
Then I recommend using conda to install the non-python binaries. The conda virtual environment will also be created with Python and poetry installed.
cd deepicedrain
conda env create -f environment.yml
Activate the conda environment first.
conda activate deepicedrain
Then install the python libraries listed in the pyproject.toml
/poetry.lock
file.
poetry install
Finally, double-check that the libraries have been installed.
poetry show
(Optional) Install jupyterlab extensions for interactive bokeh visualizations.
jupyter labextension install @pyviz/jupyterlab_pyviz
jupyter labextension install dask-labextension
jupyter labextension list # ensure that extensions are installed
conda activate deepicedrain
python -m ipykernel install --user --name deepicedrain # to install conda env properly
jupyter kernelspec list --json # see if kernel is installed
jupyter lab &
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Are you sure you want to delete this access key?
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?