36 lines
911 B
Docker
36 lines
911 B
Docker
# Use an official PyTorch image with CUDA support (optional)
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FROM pytorch/pytorch:2.2.0-cuda11.8-cudnn8-runtime
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# Set working directory
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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git \
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ffmpeg \
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libgl1 \
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libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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# Use the Conda pip path explicitly
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RUN /opt/conda/bin/pip install --upgrade pip && \
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/opt/conda/bin/pip install --force-reinstall --no-cache-dir "numpy<2.0" \
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transformers==4.39.0 \
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accelerate==0.30.0 \
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torch==2.2.0 \
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torchvision==0.17.0 \
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datasets \
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matplotlib \
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scikit-learn \
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mediapy \
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pillow
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RUN /opt/conda/bin/conda install -y -c conda-forge opencv
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RUN /opt/conda/bin/pip install --force-reinstall --no-cache-dir tqdm
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# Copy project files into container
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COPY evaluate.py /app/evaluate.py
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# Default command (you can override with docker run)
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CMD ["python", "/app/evaluate.py"]
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