labelme/.github/workflows/test.yml at main · wkentaro/labelme · GitHub

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---
name: Test
on:
  push:
    branches: [main]
  pull_request:
jobs:
  test:
    runs-on: ${{ matrix.os }}
    timeout-minutes: 10
    strategy:
      matrix:
        os: [windows-latest, macos-latest, ubuntu-latest]
        python-version: ['3.12', '3.13', '3.14']
    steps:
      - uses: actions/checkout@v7
      - uses: astral-sh/setup-uv@v7
        with:
          python-version: ${{ matrix.python-version }}
          activate-environment: true
      - shell: bash
        run: |
          make setup
      - uses: awalsh128/cache-apt-pkgs-action@v1
        if: matrix.os == 'ubuntu-latest'
        with:
          packages: xvfb libegl1 libxkbcommon0 libxcb-cursor0 libgl1
          version: 1.0
      - name: Test
        shell: bash
        if: matrix.os == 'ubuntu-latest'
        env:
          MPLBACKEND: agg
        run: |
          Xvfb :99 -screen 0 1024x768x24 > /dev/null 2>&1 &
          export DISPLAY=:99
          make test
      - name: Run examples
        shell: bash
        if: matrix.os != 'windows-latest'
        env:
          MPLBACKEND: agg
        run: |
          labelme --help
          labelme --version
          # examples/ must stay self-contained: no labelme imports (#2231)
          ! grep -rnE "import labelme|from labelme" examples/
          (cd examples/primitives && ../tutorial/export_json.py primitives.json && rm -rf primitives)
          (cd examples/tutorial && rm -rf apc2016_obj3_json && ./export_json.py apc2016_obj3.json && python load_label_png.py && git checkout -- .)
          (cd examples/semantic_segmentation && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .)
          (cd examples/instance_segmentation && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .)
          (cd examples/video_annotation && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .)
          uv pip install lxml  # for bbox_detection/labelme2voc.py
          (cd examples/bbox_detection && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .)
          uv pip install cython && uv pip install pycocotools  # for instance_segmentation/labelme2coco.py
          (cd examples/instance_segmentation && rm -rf data_dataset_coco && ./labelme2coco.py data_annotated data_dataset_coco --labels labels.txt && git checkout -- .)
      - name: Build wheel and install from it
        shell: bash
        run: |-
          uv build
          uv pip install dist/labelme-*.whl
  network-test:
    runs-on: ubuntu-latest
    timeout-minutes: 5
    steps:
      - uses: actions/checkout@v7
      - uses: astral-sh/setup-uv@v7
        with:
          python-version: '3.12'
          activate-environment: true
      - shell: bash
        run: |
          make setup
      - uses: awalsh128/cache-apt-pkgs-action@v1
        with:
          packages: xvfb libegl1 libxkbcommon0 libxcb-cursor0 libgl1
          version: 1.0
      - name: Test real model download
        shell: bash
        env:
          MPLBACKEND: agg
        run: |-
          Xvfb :99 -screen 0 1024x768x24 > /dev/null 2>&1 &
          export DISPLAY=:99
          make test PYTEST_ARGS="-m network --numprocesses=1"