TLDR-749 fast auto textual layer detection #574
Workflow file for this run
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name: Build documentation | |
on: | |
pull_request: | |
branches: | |
- develop | |
- master | |
jobs: | |
documentation: | |
runs-on: ubuntu-latest | |
steps: | |
- name: Checkout repo | |
uses: actions/checkout@v2 | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v2 | |
with: | |
python-version: '3.9' | |
- name: Install dependencies | |
run: | | |
sudo apt update | |
sudo apt-get install -y libreoffice djvulibre-bin poppler-utils tesseract-ocr libtesseract-dev tesseract-ocr-rus tesseract-ocr-eng | |
python -m pip install --upgrade --no-cache-dir pip setuptools | |
python -m pip install --exists-action=w --no-cache-dir -r requirements.txt | |
python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir .[torch,docs] | |
- name: Build documentation | |
# Build the documentation, you can use this command locally | |
run: | | |
python -m sphinx -T -E -W -b html -d docs/_build/doctrees -D language=en docs/source docs/_build | |
cd docs/source/_static/code_examples | |
python dedoc_usage_tutorial.py | |
python dedoc_add_new_doc_type_tutorial.py | |
python dedoc_add_new_structure_type_tutorial.py |