2024-09-16 18:21:14 +02:00
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ARG DOCKER_BASE_IMAGE
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FROM $DOCKER_BASE_IMAGE
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ARG VCS_REF
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ARG BUILD_DATE
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LABEL \
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2025-03-31 14:14:08 +02:00
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maintainer="https://ocr-d.de/en/contact" \
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2024-09-16 18:21:14 +02:00
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org.label-schema.vcs-ref=$VCS_REF \
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org.label-schema.vcs-url="https://github.com/qurator-spk/eynollah" \
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2025-03-31 14:14:08 +02:00
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org.label-schema.build-date=$BUILD_DATE \
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org.opencontainers.image.vendor="DFG-Funded Initiative for Optical Character Recognition Development" \
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org.opencontainers.image.title="Eynollah" \
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org.opencontainers.image.description="" \
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org.opencontainers.image.source="https://github.com/qurator-spk/eynollah" \
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org.opencontainers.image.documentation="https://github.com/qurator-spk/eynollah/blob/${VCS_REF}/README.md" \
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org.opencontainers.image.revision=$VCS_REF \
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org.opencontainers.image.created=$BUILD_DATE \
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org.opencontainers.image.base.name=ocrd/core-cuda-tf2
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2024-09-16 18:21:14 +02:00
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ENV DEBIAN_FRONTEND=noninteractive
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# set proper locales
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ENV PYTHONIOENCODING=utf8
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2025-03-31 14:14:08 +02:00
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ENV LANG=C.UTF-8
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ENV LC_ALL=C.UTF-8
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2024-09-16 18:21:14 +02:00
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2025-03-31 14:14:08 +02:00
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# avoid HOME/.local/share (hard to predict USER here)
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# so let XDG_DATA_HOME coincide with fixed system location
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# (can still be overridden by derived stages)
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ENV XDG_DATA_HOME /usr/local/share
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# avoid the need for an extra volume for persistent resource user db
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# (i.e. XDG_CONFIG_HOME/ocrd/resources.yml)
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ENV XDG_CONFIG_HOME /usr/local/share/ocrd-resources
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WORKDIR /build/eynollah
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COPY . .
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COPY ocrd-tool.json .
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# prepackage ocrd-tool.json as ocrd-all-tool.json
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RUN ocrd ocrd-tool ocrd-tool.json dump-tools > $(dirname $(ocrd bashlib filename))/ocrd-all-tool.json
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2025-05-02 00:13:11 +02:00
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# prepackage ocrd-all-module-dir.json
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RUN ocrd ocrd-tool ocrd-tool.json dump-module-dirs > $(dirname $(ocrd bashlib filename))/ocrd-all-module-dir.json
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# install everything and reduce image size
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2025-03-31 15:58:57 +02:00
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RUN make install EXTRAS=OCR && rm -rf /build/eynollah
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2025-09-30 22:10:45 +02:00
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# fixup for broken cuDNN installation (Torch pulls in 8.5.0, which is incompatible with Tensorflow)
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RUN pip install nvidia-cudnn-cu11==8.6.0.163
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2025-03-31 16:56:47 +02:00
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# smoke test
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RUN eynollah --help
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2024-09-16 18:21:14 +02:00
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WORKDIR /data
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VOLUME /data
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