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ML Tests

Running Conda with CUDA Support and a Jupyter Notebook

To run Jupyter Noteboook with CUDA:

  • Execute on the command line:
docker run --gpus all --rm -i -t -p 8888:8888 openiss-cuda-conda-jupyter:F22-01 /bin/bash -c "/opt/conda/bin/jupyter notebook --notebook-dir=/opt/notebooks --ip='*' --port=8888 --no-browser --allow-root"
  • Open browser with the IPv4 link printed on the conosole to login to Juypter notebook
  • Load your notebook
  • While running if need to install packages in the container open terminal from Docker Desktop and use the standard commands to install packages.

Resources:

OpenISS Re-identification Applicaiton (computer vision)

To run:

  • Execute:
docker run --name oi-reid --gpus all --rm -e DISPLAY=<your_ipv4_address>:0.0 openiss-reid:F22-01
  • Init and activate conda enviroment inside the container as needed

Resources: