DeepLabCut
----------
GUI
^^^
The DeepLabCut GUI can be accessed via the Open OnDemand Applications.
It is highly recommended to run this on a **GPU compute/CUDA** partition.

Command line interface
^^^^^^^^^^^^^^^^^^^^^^
DeepLabCut is made available on the cluster as a shared :doc:`Apptainer <apptainer>` container image. Scripted/commandline access requires Python to be run within the context of the container.

  * Open a terminal on one of the GPU nodes.
 
  * Start ipython in the container
  
  .. code-block:: bash

      apptainer run --nv /opt/apptainer_img/deeplabcut-2.3.9-cuda11.8.sif ipython
  
  * Then type: :code:`import deeplabcut`
  
  * See https://deeplabcut.github.io/DeepLabCut/docs/standardDeepLabCut_UserGuide.html#deeplabcut-in-the-terminal-command-line-interface


Slurm
^^^^^
DeepLabCut is made available on the cluster as a shared :doc:`Apptainer <apptainer>` container image. Scripted/commandline access requires Python to be run within the context of the container.