rembg>=2.0.70 has an incompatible dependency chain: - rembg requires scikit-image>=0.26.0 - scikit-image 0.26+ pulls in numpy 2.x - opencv-python-headless 4.9.0.80 was compiled for numpy 1.x - Runtime crash: "numpy.core.multiarray failed to import" Fix: Revert to known-working numpy<2 stack: - numpy<2.0.0 (explicit pin) - Pillow 10.x (compatible with numpy 1.x) - torch 2.1.2 / torchvision 0.16.2 (numpy 1.x compatible) - Remove rembg and onnxruntime Background removal endpoints will return 500 with "rembg not installed" message (code already handles this gracefully). To re-enable rembg in future: update opencv-python-headless to 4.10+ which supports numpy 2.x. https://claude.ai/code/session_01MYpjNQXD1fZE4gCweGU4QQ
38 lines
798 B
Docker
38 lines
798 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Install system dependencies for OpenCV, SAM, and image processing
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RUN apt-get update && apt-get install -y \
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libgl1 \
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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender-dev \
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libgomp1 \
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wget \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application
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COPY . .
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# Copy entrypoint script and make it executable
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COPY entrypoint.sh /entrypoint.sh
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RUN chmod +x /entrypoint.sh
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# Create data directories
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RUN mkdir -p /app/data/projects /app/data/patches /app/data/models
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# Expose port
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EXPOSE 8000
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# Use entrypoint script (auto-populates eyes on first run, then starts server)
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ENTRYPOINT ["/entrypoint.sh"]
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