单目3D初始代码
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docker/Dockerfile-python
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50
docker/Dockerfile-python
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/ultralytics:latest-python image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Lightweight CPU image optimized for YOLO inference
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# Use official Python base image for reproducibility (3.11.10 for export and 3.12.10 for inference)
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FROM python:3.11.10-slim-bookworm
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# Set environment variables (suppress PyTorch NNPACK warnings)
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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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TORCH_CPP_LOG_LEVEL=ERROR
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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-get update && \
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apt-get install -y --no-install-recommends \
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python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Create working directory
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WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config && \
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sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml
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ADD https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt .
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# Install pip packages
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RUN pip install uv && \
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uv pip install --system -e . --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match && \
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# Remove extra build files
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rm -rf tmp ~/.cache /root/.config/Ultralytics/persistent_cache.json
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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-python && docker build -f docker/Dockerfile-python -t $t .
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# Example (push): docker push $t
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# Example (pull): t=ultralytics/ultralytics:latest-python && 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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