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be04f79933
* read image into nb * test * added keras-ocr and google vision * google cloud vision by far the best * setting up docker for text 1 * move widgets and analysis to display module * move widgets and analysis to display module - 2 * text on image through widgets * Fix installation into Docker image * Install C++ compiler, not only C * Automatically install requirements.txt stuff * Write pytesseract into requirements file Co-authored-by: iulusoy <inga.ulusoy@uni-heidelberg.de>
30 строки
919 B
Docker
30 строки
919 B
Docker
FROM jupyter/base-notebook:2022-06-06
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# Install system dependencies for computer vision packages
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USER root
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RUN apt update && apt install -y build-essential libgl1 libglib2.0-0 libsm6 libxrender1 libxext6 tesseract-ocr
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USER $NB_USER
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# Copy the repository into the container
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COPY --chown=${NB_UID} . /opt/misinformation
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# Install the Python package
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RUN python -m pip install /opt/misinformation
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# Install additional dependencies for running the notebooks
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RUN python -m pip install -r /opt/misinformation/requirements.txt
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# Make JupyterLab the default for this application
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ENV JUPYTER_ENABLE_LAB=yes
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# Export where the data is located
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ENV XDG_DATA_HOME=/opt/misinformation/data
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# Copy notebooks into the home directory
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RUN rm -rf $HOME/work
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RUN cp /opt/misinformation/notebooks/*.ipynb $HOME
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# Bundle the pre-built models (that are downloaded on demand) into the
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# Docker image.
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RUN misinformation_prefetch_models
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