YOLOv5 CI #935
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| # YOLOv5 🚀 by Ultralytics, GPL-3.0 license | |
| # YOLOv5 Continuous Integration (CI) GitHub Actions tests | |
| name: YOLOv5 CI | |
| on: | |
| push: | |
| branches: [master] | |
| pull_request: | |
| branches: [master] | |
| schedule: | |
| - cron: '0 0 * * *' # runs at 00:00 UTC every day | |
| jobs: | |
| Benchmarks: | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| matrix: | |
| os: [ubuntu-latest] | |
| python-version: [3.9] | |
| model: [yolov5n] | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| #- name: Cache pip | |
| # uses: actions/cache@v3 | |
| # with: | |
| # path: ~/.cache/pip | |
| # key: ${{ runner.os }}-Benchmarks-${{ hashFiles('requirements.txt') }} | |
| # restore-keys: ${{ runner.os }}-Benchmarks- | |
| - name: Install requirements | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt coremltools openvino-dev tensorflow-cpu --extra-index-url https://download.pytorch.org/whl/cpu | |
| python --version | |
| pip --version | |
| pip list | |
| - name: Run benchmarks | |
| run: | | |
| python utils/benchmarks.py --weights ${{ matrix.model }}.pt --img 320 | |
| Tests: | |
| timeout-minutes: 60 | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest, macos-latest, windows-latest] | |
| python-version: [3.9] | |
| model: [yolov5n] | |
| include: | |
| - os: ubuntu-latest | |
| python-version: '3.7' # '3.6.8' min | |
| model: yolov5n | |
| - os: ubuntu-latest | |
| python-version: '3.8' | |
| model: yolov5n | |
| - os: ubuntu-latest | |
| python-version: '3.10' | |
| model: yolov5n | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Get cache dir | |
| # https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow | |
| id: pip-cache | |
| run: echo "::set-output name=dir::$(pip cache dir)" | |
| - name: Cache pip | |
| uses: actions/cache@v3 | |
| with: | |
| path: ${{ steps.pip-cache.outputs.dir }} | |
| key: ${{ runner.os }}-${{ matrix.python-version }}-pip-${{ hashFiles('requirements.txt') }} | |
| restore-keys: ${{ runner.os }}-${{ matrix.python-version }}-pip- | |
| - name: Install requirements | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu | |
| python --version | |
| pip --version | |
| pip list | |
| - name: Check environment | |
| run: | | |
| python -c "import utils; utils.notebook_init()" | |
| echo "RUNNER_OS is $RUNNER_OS" | |
| echo "GITHUB_EVENT_NAME is $GITHUB_EVENT_NAME" | |
| echo "GITHUB_WORKFLOW is $GITHUB_WORKFLOW" | |
| echo "GITHUB_ACTOR is $GITHUB_ACTOR" | |
| echo "GITHUB_REPOSITORY is $GITHUB_REPOSITORY" | |
| echo "GITHUB_REPOSITORY_OWNER is $GITHUB_REPOSITORY_OWNER" | |
| - name: Run tests | |
| shell: bash | |
| run: | | |
| # export PYTHONPATH="$PWD" # to run '$ python *.py' files in subdirectories | |
| d=cpu # device | |
| model=${{ matrix.model }} | |
| best=runs/train/exp/weights/best.pt | |
| # Train | |
| python train.py --img 64 --batch 32 --weights $model.pt --cfg $model.yaml --epochs 1 --device $d | |
| # Val | |
| python val.py --img 64 --batch 32 --weights $model.pt --device $d | |
| python val.py --img 64 --batch 32 --weights $best --device $d | |
| # Detect | |
| python detect.py --weights $model.pt --device $d | |
| python detect.py --weights $best --device $d | |
| python hubconf.py # hub | |
| # Export | |
| # python models/tf.py --weights $model.pt # build TF model | |
| python models/yolo.py --cfg $model.yaml # build PyTorch model | |
| python export.py --weights $model.pt --img 64 --include torchscript # export | |
| # Python | |
| python - <<EOF | |
| import torch | |
| model = torch.hub.load('.', 'custom', path='$model', source='local') | |
| print(model('data/images/bus.jpg')) | |
| model = torch.hub.load('.', 'custom', path='$best', source='local') | |
| print(model('data/images/bus.jpg')) | |
| EOF |