.github/workflows/ci-testing.yml

name: CI CPU testing

# see: https://help.github.com/en/actions/reference/events-that-trigger-workflows
on: [push, pull_request]

jobs:
  cpu-tests:

    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-18.04, macOS-10.15]  #, windows-2019
        python-version: [3.7, 3.8]
        yolo5-model: ["yolov5s", "yolov5m", "yolov5l", "yolov5x"]

    # Timeout: https://stackoverflow.com/a/59076067/4521646
    steps:
    - uses: actions/checkout@v2
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v2
      with:
        python-version: ${{ matrix.python-version }}

    # Note: This uses an internal pip API and may not always work
    # https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow
    - name: Get pip cache
      id: pip-cache
      run: |
        python -c "from pip._internal.locations import USER_CACHE_DIR; print('::set-output name=dir::' + USER_CACHE_DIR)"

    - name: Cache pip
      uses: actions/cache@v1
      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 dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -q numpy  # for cocoapi proper install
        pip install -qr requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
        pip install -q onnx
        python --version
        pip --version
        pip list
      shell: bash

    - name: Download data
      run: |
        python -c "from utils.google_utils import * ; gdrive_download('1n_oKgR81BJtqk75b00eAjdv03qVCQn2f', 'coco128.zip')"

    - name: Download weights
      run: |
        bash weights/download_weights.sh

    - name: Tests workflow
      run: |
        # to run *.py. files in subdirectories
        export PYTHONPATH="$PWD"
        # define device
        di=cpu # inference devices
        # train
        python train.py --weights weights/${{ matrix.yolo5-model }}.pt --cfg models/${{ matrix.yolo5-model }}.yaml --epochs 1 --img 320 --device $di --batch-size 2
        # detect official
        python detect.py --weights weights/${{ matrix.yolo5-model }}.pt --device $di
        # detect custom
        python detect.py --weights runs/exp0/weights/last.pt --device $di
        # test official
        python eval.py --weights weights/${{ matrix.yolo5-model }}.pt --device $di --batch-size 2
        # test custom
        python eval.py --weights runs/exp0/weights/last.pt --device $di  --batch-size 2
        # inspect
        python models/yolo.py --cfg models/${{ matrix.yolo5-model }}.yaml
        # export
        python models/export.py --weights weights/${{ matrix.yolo5-model }}.pt --img 640 --batch 1
      shell: bash