36 lines
1.2 KiB
Docker
36 lines
1.2 KiB
Docker
FROM python:3.10-slim
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WORKDIR /app
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# Install system dependencies
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# We need ffmpeg for video processing and libsm6 libxext6 for opencv (if needed by backgroundremover)
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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libsm6 \
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libxext6 \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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# Pre-create the directory for u2net models so they persist if mounted,
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# or at least get downloaded to a known location
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ENV U2NET_HOME=/root/.u2net
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RUN mkdir -p /root/.u2net
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COPY requirements.txt .
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r requirements.txt
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# We explicitly pre-download the model by running backgroundremover on a dummy image if we wanted,
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# but the script downloads it on first run. To avoid huge first-request times,
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# you could add a script here to download the u2net model directly.
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# wget https://github.com/nadermx/backgroundremover/raw/main/models/u2net.pth -O /root/.u2net/u2net.pth (if available)
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COPY . .
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EXPOSE 8000
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# Using shm-size is handled in docker-compose, but we set workers to 1
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# because video processing is extremely heavy and multiprocessing can crash without enough shm
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
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