mirror of
https://github.com/ultralytics/ultralytics
synced 2026-04-21 14:07:18 +00:00
f2d3aed634
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Laughing-q <1185102784@qq.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
43 lines
2 KiB
Text
43 lines
2 KiB
Text
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/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 and conda packages
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RUN apt-get update && \
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apt-get install -y --no-install-recommends libgl1 && \
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apt-get clean && \
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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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conda config --set solver libmamba && \
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conda install -y pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia && \
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conda install -y -c conda-forge ultralytics mkl && \
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conda clean -afy && \
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# Remove extra build files
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rm -rf /var/lib/apt/lists/* /root/.config/Ultralytics/persistent_cache.json
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# Copy model
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ADD https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt .
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# Usage --------------------------------------------------------------------------------------------------------------
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# Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml
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# Example (build): t=ultralytics/ultralytics:latest-conda && docker build -f docker/Dockerfile-conda -t $t .
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# Example (push): docker push $t
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# Example (pull): t=ultralytics/ultralytics:latest-conda && docker pull $t
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# Example (run): docker run -it --ipc=host $t
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# Example (run-with-volume): docker run -it --ipc=host -v "$PWD/shared/datasets:/datasets" $t
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