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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:latest-jupyter image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image provides JupyterLab interface for interactive YOLO development and includes tutorial notebooks
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# Start from Python-based Ultralytics image for full Python environment
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FROM ultralytics/ultralytics:latest-python
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# Install JupyterLab for interactive development
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RUN /usr/local/bin/pip install jupyterlab
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# Create persistent data directory structure
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RUN mkdir /data
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# Configure YOLO directory paths
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RUN mkdir /data/datasets && /usr/local/bin/yolo settings datasets_dir="/data/datasets"
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RUN mkdir /data/weights && /usr/local/bin/yolo settings weights_dir="/data/weights"
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RUN mkdir /data/runs && /usr/local/bin/yolo settings runs_dir="/data/runs"
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# Start JupyterLab with tutorial notebook
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ENTRYPOINT ["/usr/local/bin/jupyter", "lab", "--allow-root", "--ip=*", "/ultralytics/examples/tutorial.ipynb"]
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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# t=ultralytics/ultralytics:latest-jupyter && sudo docker build -f docker/Dockerfile-jupyter -t $t . && sudo docker push $t
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# Run
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# t=ultralytics/ultralytics:latest-jupyter && sudo docker run -it --ipc=host -p 8888:8888 $t
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# Pull and Run
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# t=ultralytics/ultralytics:latest-jupyter && sudo docker pull $t && sudo docker run -it --ipc=host -p 8888:8888 $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-jupyter && sudo docker pull $t && sudo docker run -it --ipc=host -p 8888:8888 -v "$(pwd)"/datasets:/data/datasets $t
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