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46 lines
2.0 KiB
46 lines
2.0 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
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# Builds ultralytics/ultralytics:latest-conda image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
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# Image is optimized for Ultralytics Anaconda (https://anaconda.org/conda-forge/ultralytics) installation and usage |
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# Start FROM miniconda3 image https://hub.docker.com/r/continuumio/miniconda3 |
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FROM continuumio/miniconda3:latest |
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# Set environment variables |
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ENV PYTHONUNBUFFERED=1 \ |
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PYTHONDONTWRITEBYTECODE=1 \ |
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PIP_NO_CACHE_DIR=1 \ |
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PIP_BREAK_SYSTEM_PACKAGES=1 |
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# Downloads to user config dir |
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \ |
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \ |
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/root/.config/Ultralytics/ |
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# Install linux packages |
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RUN apt update \ |
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&& apt install --no-install-recommends -y libgl1 |
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# Copy contents |
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt . |
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# Install conda packages |
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# mkl required to fix 'OSError: libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory' |
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RUN conda config --set solver libmamba && \ |
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conda install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia && \ |
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conda install -c conda-forge ultralytics mkl |
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# conda install -c pytorch -c nvidia -c conda-forge pytorch torchvision pytorch-cuda=12.1 ultralytics mkl |
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# Usage Examples ------------------------------------------------------------------------------------------------------- |
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# Build and Push |
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# t=ultralytics/ultralytics:latest-conda && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t |
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# Run |
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# t=ultralytics/ultralytics:latest-conda && sudo docker run -it --ipc=host $t |
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# Pull and Run |
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# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host $t |
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# Pull and Run with local volume mounted |
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# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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