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https://github.com/azaion/detections.git
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26900d0aee
- Added image specifications for services in `docker-compose.demo-jetson.yml` and `docker-compose.jetson.yml` to streamline deployment. - Updated `Dockerfile.gpu` to use the development version of the CUDA runtime for enhanced compatibility. - Modified `Dockerfile.jetson` to switch to a newer JetPack base image and adjusted the requirements file to include additional dependencies for improved functionality. - Removed obsolete deployment scripts and calibration cache generation script to clean up the project structure. Made-with: Cursor
21 lines
640 B
Docker
21 lines
640 B
Docker
FROM nvcr.io/nvidia/l4t-jetpack:r36.2.0
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RUN apt-get update && apt-get install -y \
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python3 python3-pip python3-dev gcc \
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libgl1 libglib2.0-0 \
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python3-libnvinfer python3-libnvinfer-dev \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY requirements.txt requirements-jetson.txt ./
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RUN pip3 install --no-cache-dir -r requirements-jetson.txt
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COPY . .
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RUN python3 setup.py build_ext --inplace
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ENV PYTHONPATH=/app/src
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RUN adduser --disabled-password --no-create-home --gecos "" appuser \
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&& chown -R appuser /app
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USER appuser
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EXPOSE 8080
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CMD ["python3", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080"]
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