YOLOv8-16bit/.github/workflows/ci.yaml

# Ultralytics YOLO 🚀, GPL-3.0 license
# YOLO Continuous Integration (CI) GitHub Actions tests

name: Ultralytics CI

on:
  push:
    branches: [main]
  pull_request:
    branches: [main, updates]
  schedule:
    - cron: '0 0 * * *'  # runs at 00:00 UTC every day

jobs:
  HUB:
    if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push')
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        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 }}
          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: |
          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 }}"
          python --version
          pip --version
          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()          

  Benchmarks:
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        python-version: ['3.10']
        model: [yolov8n]
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
          cache: 'pip' # caching pip dependencies
      - name: Install requirements
        shell: bash  # for Windows compatibility
        run: |
          python -m pip install --upgrade pip wheel
          if [ "${{ matrix.os }}" == "macos-latest" ]; then
              pip install -e . coremltools openvino-dev tensorflow-macos tensorflowjs --extra-index-url https://download.pytorch.org/whl/cpu
            else
              pip install -e . coremltools openvino-dev tensorflow-cpu tensorflowjs --extra-index-url https://download.pytorch.org/whl/cpu
          fi
          yolo export format=tflite          
      - name: Check environment
        run: |
          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 ${{ github.repository_owner }}"
          python --version
          pip --version
          pip list          
      - name: Benchmark DetectionModel
        shell: python
        run: |
          from ultralytics.yolo.utils.benchmarks import benchmark
          benchmark(model='${{ matrix.model }}.pt', imgsz=160, half=False, hard_fail=0.20)          
      - name: Benchmark SegmentationModel
        shell: python
        run: |
          from ultralytics.yolo.utils.benchmarks import benchmark
          benchmark(model='${{ matrix.model }}-seg.pt', imgsz=160, half=False, hard_fail=0.14)          
      - name: Benchmark ClassificationModel
        shell: python
        run: |
          from ultralytics.yolo.utils.benchmarks import benchmark
          benchmark(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=0.61)          
      - name: Benchmark PoseModel
        shell: python
        run: |
          from ultralytics.yolo.utils.benchmarks import benchmark
          benchmark(model='${{ matrix.model }}-pose.pt', imgsz=160, half=False, hard_fail=0.0)          
      - name: Benchmark Summary
        run: |
          cat benchmarks.log
          echo "$(cat benchmarks.log)" >> $GITHUB_STEP_SUMMARY          

  Tests:
    timeout-minutes: 60
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        python-version: ['3.7', '3.8', '3.9', '3.10']
        model: [yolov8n]
        torch: [latest]
        include:
          - os: ubuntu-latest
            python-version: '3.8'  # torch 1.7.0 requires python >=3.6, <=3.8
            model: yolov8n
            torch: '1.8.0'  # min torch version CI https://pypi.org/project/torchvision/
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
          cache: 'pip' # caching pip dependencies
      - name: Install requirements
        shell: bash  # for Windows compatibility
        run: |
          python -m pip install --upgrade pip wheel
          if [ "${{ matrix.torch }}" == "1.8.0" ]; then
              pip install -e . torch==1.8.0 torchvision==0.9.0 pytest --extra-index-url https://download.pytorch.org/whl/cpu
          else
              pip install -e . pytest --extra-index-url https://download.pytorch.org/whl/cpu
          fi          
      - name: Check environment
        run: |
          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 }}"
          python --version
          pip --version
          pip list          
      - name: Test Detect
        shell: bash  # for Windows compatibility
        run: |
          yolo detect train data=coco8.yaml model=yolov8n.yaml epochs=1 imgsz=32
          yolo detect train data=coco8.yaml model=yolov8n.pt epochs=1 imgsz=32
          yolo detect val data=coco8.yaml model=runs/detect/train/weights/last.pt imgsz=32
          yolo detect predict model=runs/detect/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
          yolo export model=runs/detect/train/weights/last.pt imgsz=32 format=torchscript          
      - name: Test Segment
        shell: bash  # for Windows compatibility
        run: |
          yolo segment train data=coco8-seg.yaml model=yolov8n-seg.yaml epochs=1 imgsz=32
          yolo segment train data=coco8-seg.yaml model=yolov8n-seg.pt epochs=1 imgsz=32
          yolo segment val data=coco8-seg.yaml model=runs/segment/train/weights/last.pt imgsz=32
          yolo segment predict model=runs/segment/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
          yolo export model=runs/segment/train/weights/last.pt imgsz=32 format=torchscript          
      - name: Test Classify
        shell: bash  # for Windows compatibility
        run: |
          yolo classify train data=imagenet10 model=yolov8n-cls.yaml epochs=1 imgsz=32
          yolo classify train data=imagenet10 model=yolov8n-cls.pt epochs=1 imgsz=32
          yolo classify val data=imagenet10 model=runs/classify/train/weights/last.pt imgsz=32
          yolo classify predict model=runs/classify/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
          yolo export model=runs/classify/train/weights/last.pt imgsz=32 format=torchscript          
      - name: Test Pose
        shell: bash  # for Windows compatibility
        run: |
          yolo pose train data=coco8-pose.yaml model=yolov8n-pose.yaml epochs=1 imgsz=32
          yolo pose train data=coco8-pose.yaml model=yolov8n-pose.pt epochs=1 imgsz=32
          yolo pose val data=coco8-pose.yaml model=runs/pose/train/weights/last.pt imgsz=32
          yolo pose predict model=runs/pose/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
          yolo export model=runs/pose/train/weights/last.pt imgsz=32 format=torchscript          
      - name: Pytest tests
        shell: bash  # for Windows compatibility
        run: pytest tests