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Replace third-party CLA action #3410

Replace third-party CLA action

Replace third-party CLA action #3410

Workflow file for this run

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
# YOLOv3 Continuous Integration (CI) GitHub Actions tests
name: YOLOv3 CI
permissions:
contents: read
on:
push:
branches: [master]
pull_request:
branches: [master]
schedule:
- cron: "0 0 * * *" # runs at 00:00 UTC every day
workflow_dispatch:
jobs:
Tests:
timeout-minutes: 60
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest] # macos-latest bug https://github.com/ultralytics/yolov5/pull/9049
python-version: ["3.x"] # latest stable Python release
model: [yolov3-tiny]
include:
- os: ubuntu-latest
python-version: "3.11" # mid-version coverage
model: yolov3-tiny
- os: ubuntu-latest
python-version: "3.8" # minimum supported Python (torch 1.8.0 supports python <=3.9)
model: yolov3-tiny
torch: "1.8.0" # minimum supported torch (PyTorch>=1.8)
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
- uses: astral-sh/setup-uv@v7
- name: Install requirements
run: |
torch=""
if [ "${{ matrix.torch }}" == "1.8.0" ]; then
torch="torch==1.8.0 torchvision==0.9.0"
fi
uv pip install --system -r requirements.txt $torch --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match
shell: bash # for Windows compatibility
- name: Check environment
run: |
yolo checks
uv pip list
- name: Test detection
shell: bash # for Windows compatibility
run: |
# export PYTHONPATH="$PWD" # to run '$ python *.py' files in subdirectories
m=${{ matrix.model }} # official weights
b=runs/train/exp/weights/best # best.pt checkpoint
python train.py --imgsz 64 --batch 32 --weights $m.pt --cfg $m.yaml --epochs 1 --device cpu # train
for d in cpu; do # devices
for w in $m $b; do # weights
python val.py --imgsz 64 --batch 32 --weights $w.pt --device $d # val
python detect.py --imgsz 64 --weights $w.pt --device $d # detect
done
done
python hubconf.py --model $m # hub
python models/yolo.py --cfg $m.yaml # build PyTorch model
python export.py --weights $m.pt --img 64 --include torchscript # export
python - <<EOF
import torch
im = torch.zeros([1, 3, 64, 64])
for path in '$m', '$b':
model = torch.hub.load('.', 'custom', path=path, source='local')
print(model('data/images/bus.jpg'))
model(im) # warmup, build grids for trace
torch.jit.trace(model, [im])
EOF
Summary:
runs-on: ubuntu-latest
needs: [Tests]
if: always()
steps:
- name: Check for failure and notify
if: (needs.Tests.result == 'failure' || needs.Tests.result == 'cancelled') && github.repository == 'ultralytics/yolov3' && (github.event_name == 'schedule' || github.event_name == 'push')
uses: slackapi/slack-github-action@v3.0.3
with:
webhook-type: incoming-webhook
webhook: ${{ secrets.SLACK_WEBHOOK_URL_YOLO }}
payload: |
text: "<!subteam^S082BPCRAJ3> *${{ github.workflow }}* ❌ `${{ github.repository }}` <https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}|*Run*>"