mirror of
https://github.com/Unstructured-IO/unstructured.git
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575957b2d2
This PR adds new capabilities for drawing bboxes for each layout (extracted, inferred, ocr and final) + OD model output dump as a json file for better analysis. --------- Co-authored-by: Christine Straub <christinemstraub@gmail.com> Co-authored-by: Michal Martyniak <michal.martyniak@deepsense.ai>
31 lines
1.1 KiB
Docker
31 lines
1.1 KiB
Docker
FROM quay.io/unstructured-io/base-images:wolfi-base@sha256:753fa1ed5a4793eb2bb179c07a34ba9164ac46328642e2db615259274b0c9baf as base
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USER root
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WORKDIR /app
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COPY ./requirements requirements/
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COPY unstructured unstructured
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COPY test_unstructured test_unstructured
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COPY example-docs example-docs
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RUN chown -R notebook-user:notebook-user /app && \
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apk add font-ubuntu && \
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fc-cache -fv && \
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ln -s /usr/bin/python3.11 /usr/bin/python3
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USER notebook-user
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RUN find requirements/ -type f -name "*.txt" -exec pip3.11 install --no-cache-dir --user -r '{}' ';'
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RUN pip3.11 install unstructured.paddlepaddle
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RUN python3.11 -c "import nltk; nltk.download('punkt')" && \
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python3.11 -c "import nltk; nltk.download('averaged_perceptron_tagger')" && \
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python3.11 -c "from unstructured.partition.model_init import initialize; initialize()" && \
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python3.11 -c "from unstructured_inference.models.tables import UnstructuredTableTransformerModel; model = UnstructuredTableTransformerModel(); model.initialize('microsoft/table-transformer-structure-recognition')"
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ENV PATH="${PATH}:/home/notebook-user/.local/bin"
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ENV TESSDATA_PREFIX=/usr/local/share/tessdata
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CMD ["/bin/bash"]
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