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| name: Integration test with benchmark | |
| on: [push] | |
| env: | |
| TESSDATA_PREFIX: "/usr/share/tesseract-ocr/5/tessdata" | |
| TORCH_DEVICE: "cpu" | |
| OCR_ENGINE: "tesseract" # So we don't have to install ghostscript, which takes a long time | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Set up Python 3.11 | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.11 | |
| - name: Install system dependencies | |
| run: cat scripts/install/apt-requirements.txt | xargs sudo apt-get install -y | |
| - name: Install python dependencies | |
| run: | | |
| pip install poetry | |
| poetry install | |
| poetry uninstall torch | |
| poetry run pip install torch --index-url https://download.pytorch.org/whl/cpu | |
| - name: Download benchmark data | |
| run: | | |
| wget https://drive.google.com/uc?export=download&id=1ktVDYPEeyHlKLaF56FnHjI5VjVnYa1xL -O benchmark_data.zip | |
| unzip benchmark_data.zip | |
| - name: Run benchmark test | |
| run: | | |
| poetry run python benchmark.py benchmark_data/pdfs benchmark_data/references report.json | |
| poetry run python scripts/verify_benchmark_scores.py report.json | |