34 lines
1.2 KiB
Docker
34 lines
1.2 KiB
Docker
FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3 python3-pip git ca-certificates \
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libgl1 libglib2.0-0 && \
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rm -rf /var/lib/apt/lists/* && \
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ln -sf /usr/bin/python3 /usr/bin/python
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WORKDIR /app
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# Clone the research repo (inference code + configs). Pinning is recommended:
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# replace HEAD with a specific commit once verified.
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RUN git clone --depth 1 https://github.com/AlanSavio25/DeepSingleImageCalibration.git \
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/opt/DeepSingleImageCalibration
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# Install the CUDA 12.1 torch stack + repo deps.
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COPY workers/tilt/requirements.txt .
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RUN pip install --index-url https://download.pytorch.org/whl/cu121 \
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torch==2.1.2 torchvision==0.16.2 && \
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pip install -r requirements.txt
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# Best-effort install of the repo's own requirements if present (non-fatal).
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RUN if [ -f /opt/DeepSingleImageCalibration/requirements.txt ]; then \
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pip install -r /opt/DeepSingleImageCalibration/requirements.txt || true ; \
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fi
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COPY workers/tilt/handler.py .
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CMD ["python3", "-u", "handler.py"]
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