add yolov10 #7
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| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| # YOLO Continuous Integration (CI) GitHub Actions tests | |
| name: Ultralytics CI | |
| on: | |
| push: | |
| branches: [main] | |
| paths-ignore: | |
| - "docs/**" | |
| - "mkdocs.yml" | |
| pull_request: | |
| branches: [main] | |
| paths-ignore: | |
| - "docs/**" | |
| schedule: | |
| - cron: "0 0 * * *" # runs at 00:00 UTC every day | |
| workflow_dispatch: | |
| inputs: | |
| hub: | |
| description: "Run HUB" | |
| default: false | |
| type: boolean | |
| benchmarks: | |
| description: "Run Benchmarks" | |
| default: false | |
| type: boolean | |
| tests: | |
| description: "Run Tests" | |
| default: false | |
| type: boolean | |
| gpu: | |
| description: "Run GPU" | |
| default: false | |
| type: boolean | |
| conda: | |
| description: "Run Conda" | |
| default: false | |
| type: boolean | |
| jobs: | |
| HUB: | |
| if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.hub == 'true')) | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest] | |
| python-version: ["3.11"] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: actions/setup-python@v5 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| cache: "pip" # caching pip dependencies | |
| - name: Install requirements | |
| shell: bash # for Windows compatibility | |
| run: | | |
| python -m pip install --upgrade pip wheel | |
| pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu | |
| - name: Check environment | |
| run: | | |
| yolo checks | |
| pip list | |
| - name: Test HUB training | |
| shell: python | |
| env: | |
| API_KEY: ${{ secrets.ULTRALYTICS_HUB_API_KEY }} | |
| MODEL_ID: ${{ secrets.ULTRALYTICS_HUB_MODEL_ID }} | |
| run: | | |
| import os | |
| from ultralytics import YOLO, hub | |
| api_key, model_id = os.environ['API_KEY'], os.environ['MODEL_ID'] | |
| hub.login(api_key) | |
| hub.reset_model(model_id) | |
| model = YOLO('https://hub.ultralytics.com/models/' + model_id) | |
| model.train() | |
| - name: Test HUB inference API | |
| shell: python | |
| env: | |
| API_KEY: ${{ secrets.ULTRALYTICS_HUB_API_KEY }} | |
| MODEL_ID: ${{ secrets.ULTRALYTICS_HUB_MODEL_ID }} | |
| run: | | |
| import os | |
| import requests | |
| import json | |
| api_key, model_id = os.environ['API_KEY'], os.environ['MODEL_ID'] | |
| url = f"https://api.ultralytics.com/v1/predict/{model_id}" | |
| headers = {"x-api-key": api_key} | |
| data = {"size": 320, "confidence": 0.25, "iou": 0.45} | |
| with open("ultralytics/assets/zidane.jpg", "rb") as f: | |
| response = requests.post(url, headers=headers, data=data, files={"image": f}) | |
| assert response.status_code == 200, f'Status code {response.status_code}, Reason {response.reason}' | |
| print(json.dumps(response.json(), indent=2)) | |
| Benchmarks: | |
| if: github.event_name != 'workflow_dispatch' || github.event.inputs.benchmarks == 'true' | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest, macos-14] | |
| python-version: ["3.11"] | |
| model: [yolov8n] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: actions/setup-python@v5 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| cache: "pip" # caching pip dependencies | |
| - name: Install requirements | |
| shell: bash # for Windows compatibility | |
| run: | | |
| python -m pip install --upgrade pip wheel | |
| pip install -e ".[export]" "coverage[toml]" --extra-index-url https://download.pytorch.org/whl/cpu | |
| # yolo export format=tflite imgsz=32 || true | |
| - name: Check environment | |
| run: | | |
| yolo checks | |
| pip list | |
| - name: Benchmark YOLOWorld DetectionModel | |
| shell: bash | |
| run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/yolov8s-worldv2.pt' imgsz=160 verbose=0.318 | |
| - name: Benchmark SegmentationModel | |
| shell: bash | |
| run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-seg.pt' imgsz=160 verbose=0.281 | |
| - name: Benchmark ClassificationModel | |
| shell: bash | |
| run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-cls.pt' imgsz=160 verbose=0.166 | |
| - name: Benchmark PoseModel | |
| shell: bash | |
| run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-pose.pt' imgsz=160 verbose=0.183 | |
| - name: Benchmark OBBModel | |
| shell: bash | |
| run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-obb.pt' imgsz=160 verbose=0.472 | |
| - name: Merge Coverage Reports | |
| run: | | |
| coverage xml -o coverage-benchmarks.xml | |
| - name: Upload Coverage Reports to CodeCov | |
| if: github.repository == 'ultralytics/ultralytics' | |
| uses: codecov/codecov-action@v4 | |
| with: | |
| flags: Benchmarks | |
| env: | |
| CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} | |
| - name: Benchmark Summary | |
| run: | | |
| cat benchmarks.log | |
| echo "$(cat benchmarks.log)" >> $GITHUB_STEP_SUMMARY | |
| Tests: | |
| if: github.event_name != 'workflow_dispatch' || github.event.inputs.tests == 'true' | |
| timeout-minutes: 60 | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest, macos-14] | |
| python-version: ["3.11"] | |
| torch: [latest] | |
| include: | |
| - os: ubuntu-latest | |
| python-version: "3.8" # torch 1.8.0 requires python >=3.6, <=3.8 | |
| torch: "1.8.0" # min torch version CI https://pypi.org/project/torchvision/ | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: actions/setup-python@v5 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| cache: "pip" # caching pip dependencies | |
| - name: Install requirements | |
| shell: bash # for Windows compatibility | |
| run: | | |
| # CoreML must be installed before export due to protobuf error from AutoInstall | |
| python -m pip install --upgrade pip wheel | |
| torch="" | |
| if [ "${{ matrix.torch }}" == "1.8.0" ]; then | |
| torch="torch==1.8.0 torchvision==0.9.0" | |
| fi | |
| pip install -e . $torch pytest-cov "coremltools>=7.0; platform_system != 'Windows' and python_version <= '3.11'" --extra-index-url https://download.pytorch.org/whl/cpu | |
| - name: Check environment | |
| run: | | |
| yolo checks | |
| pip list | |
| - name: Pytest tests | |
| shell: bash # for Windows compatibility | |
| run: | | |
| slow="" | |
| if [[ "${{ github.event_name }}" == "schedule" ]] || [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then | |
| # WARNING bug in ray>=2.10.0 | |
| pip install mlflow pycocotools "ray[tune]<=2.9.3" | |
| slow="--slow" | |
| fi | |
| pytest $slow --cov=ultralytics/ --cov-report xml tests/ | |
| - name: Upload Coverage Reports to CodeCov | |
| if: github.repository == 'ultralytics/ultralytics' # && matrix.os == 'ubuntu-latest' && matrix.python-version == '3.11' | |
| uses: codecov/codecov-action@v4 | |
| with: | |
| flags: Tests | |
| env: | |
| CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} | |
| GPU: | |
| if: github.repository == 'ultralytics/ultralytics' && (github.event_name != 'workflow_dispatch' || github.event.inputs.gpu == 'true') | |
| timeout-minutes: 60 | |
| runs-on: gpu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Install requirements | |
| run: pip install -e . | |
| - name: Check environment | |
| run: | | |
| yolo checks | |
| pip list | |
| - name: Pytest tests | |
| run: pytest --cov=ultralytics/ --cov-report xml tests/test_cuda.py | |
| - name: Upload Coverage Reports to CodeCov | |
| uses: codecov/codecov-action@v4 | |
| with: | |
| flags: GPU | |
| env: | |
| CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} | |
| Conda: | |
| if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event.inputs.conda == 'true') | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest] | |
| python-version: ["3.11"] | |
| defaults: | |
| run: | |
| shell: bash -el {0} | |
| steps: | |
| - uses: conda-incubator/setup-miniconda@v3 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| mamba-version: "*" | |
| channels: conda-forge,defaults | |
| channel-priority: true | |
| activate-environment: anaconda-client-env | |
| - name: Install Linux packages | |
| run: | | |
| # Fix cv2 ImportError: 'libEGL.so.1: cannot open shared object file: No such file or directory' | |
| sudo apt-get update | |
| sudo apt-get install -y libegl1 libopengl0 | |
| - name: Install Libmamba | |
| run: | | |
| conda config --set solver libmamba | |
| - name: Install Ultralytics package from conda-forge | |
| run: | | |
| conda install -c pytorch -c conda-forge pytorch torchvision ultralytics openvino | |
| - name: Install pip packages | |
| run: | | |
| # CoreML must be installed before export due to protobuf error from AutoInstall | |
| pip install pytest "coremltools>=7.0; platform_system != 'Windows' and python_version <= '3.11'" | |
| - name: Check environment | |
| run: | | |
| conda list | |
| - name: Test CLI | |
| run: | | |
| yolo predict model=yolov8n.pt imgsz=320 | |
| yolo train model=yolov8n.pt data=coco8.yaml epochs=1 imgsz=32 | |
| yolo val model=yolov8n.pt data=coco8.yaml imgsz=32 | |
| yolo export model=yolov8n.pt format=torchscript imgsz=160 | |
| - name: Test Python | |
| run: | | |
| python -c " | |
| from ultralytics import YOLO | |
| model = YOLO('yolov8n.pt') | |
| results = model.train(data='coco8.yaml', epochs=3, imgsz=160) | |
| results = model.val(imgsz=160) | |
| results = model.predict(imgsz=160) | |
| results = model.export(format='onnx', imgsz=160) | |
| " | |
| - name: PyTest | |
| run: | | |
| git clone https://github.com/ultralytics/ultralytics | |
| pytest ultralytics/tests | |
| Summary: | |
| runs-on: ubuntu-latest | |
| needs: [HUB, Benchmarks, Tests, GPU, Conda] # Add job names that you want to check for failure | |
| if: always() # This ensures the job runs even if previous jobs fail | |
| steps: | |
| - name: Check for failure and notify | |
| if: (needs.HUB.result == 'failure' || needs.Benchmarks.result == 'failure' || needs.Tests.result == 'failure' || needs.GPU.result == 'failure' || needs.Conda.result == 'failure') && github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push') | |
| uses: slackapi/[email protected] | |
| with: | |
| payload: | | |
| {"text": "<!channel> GitHub Actions error for ${{ github.workflow }} ❌\n\n\n*Repository:* https://github.com/${{ github.repository }}\n*Action:* https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}\n*Author:* ${{ github.actor }}\n*Event:* ${{ github.event_name }}\n"} | |
| env: | |
| SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL_YOLO }} |