matthias
aae57d7a2b
date/time, price per litre, litres, discount, total) from German fuel receipt photos: grayscale + mild bilateral filter + contrast stretch, Tesseract OCR, then LLM structuring via a small local model (Qwen 2.5, served by Ollama). Each step is independently runnable and inspectable through numbered scripts against a shared tooling container.
21 lines
466 B
Docker
21 lines
466 B
Docker
FROM python:3.12-slim
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RUN apt-get update && apt-get install -y --no-install-recommends \
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tesseract-ocr \
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tesseract-ocr-deu \
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&& rm -rf /var/lib/apt/lists/*
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RUN pip install --no-cache-dir \
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opencv-python-headless==4.10.0.84 \
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numpy==2.1.3 \
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pillow==11.0.0 \
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pytesseract==0.3.13 \
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requests==2.32.3 \
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odfpy==1.4.1
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COPY src/ /opt/app/src/
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RUN chmod -R a+rX /opt/app/src
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WORKDIR /data
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ENTRYPOINT []
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