Ultralytics CI #103
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# Ultralytics YOLO 🚀, AGPL-3.0 license | |
# YOLO Continuous Integration (CI) GitHub Actions tests | |
name: Ultralytics CI | |
on: | |
push: | |
branches: [main] | |
pull_request: | |
branches: [main] | |
schedule: | |
- cron: "0 8 * * *" # runs at 08:00 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 | |
raspberrypi: | |
description: "Run Raspberry Pi" | |
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')) | |
if: github.repository == 'ultralytics/ultralytics' && '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 . --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, windows-latest, macos-14] | |
python-version: ["3.11"] | |
model: [yolo11n] | |
steps: | |
- uses: actions/checkout@v4 | |
- uses: actions/setup-python@v5 | |
with: | |
python-version: ${{ matrix.python-version }} | |
cache: "pip" # caching pip dependencies | |
- name: Install requirements | |
shell: bash # for Windows compatibility | |
run: | | |
python -m pip install --upgrade pip wheel | |
pip install -e ".[export]" "coverage[toml]" --extra-index-url https://download.pytorch.org/whl/cpu | |
- name: Check environment | |
run: | | |
yolo checks | |
pip list | |
- name: Benchmark DetectionModel | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}.pt' imgsz=160 verbose=0.309 | |
- name: Benchmark ClassificationModel | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-cls.pt' imgsz=160 verbose=0.249 | |
- name: Benchmark YOLOWorld DetectionModel | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/yolov8s-worldv2.pt' imgsz=160 verbose=0.337 | |
- name: Benchmark SegmentationModel | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-seg.pt' imgsz=160 verbose=0.195 | |
- name: Benchmark PoseModel | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-pose.pt' imgsz=160 verbose=0.197 | |
- name: Benchmark OBBModel | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-obb.pt' imgsz=160 verbose=0.597 | |
- name: Benchmark YOLOv10Model | |
shell: bash | |
run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/yolov10n.pt' imgsz=160 verbose=0.205 | |
- 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: 360 | |
runs-on: ${{ matrix.os }} | |
strategy: | |
fail-fast: false | |
matrix: | |
os: [ubuntu-latest, macos-14, windows-latest] | |
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: ${{ matrix.python-version }} | |
cache: "pip" # caching pip dependencies | |
- name: Install requirements | |
shell: bash # for Windows compatibility | |
run: | | |
# CoreML must be installed before export due to protobuf error from AutoInstall | |
python -m pip install --upgrade pip wheel | |
slow="" | |
torch="" | |
if [ "${{ matrix.torch }}" == "1.8.0" ]; then | |
torch="torch==1.8.0 torchvision==0.9.0" | |
fi | |
if [[ "${{ github.event_name }}" =~ ^(schedule|workflow_dispatch)$ ]]; then | |
slow="pycocotools mlflow" | |
fi | |
pip install -e ".[export]" $torch $slow pytest-cov --extra-index-url https://download.pytorch.org/whl/cpu | |
- name: Check environment | |
run: | | |
yolo checks | |
pip list | |
- name: Pytest tests | |
shell: bash # for Windows compatibility | |
run: | | |
slow="" | |
if [[ "${{ github.event_name }}" =~ ^(schedule|workflow_dispatch)$ ]]; then | |
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: ${{ secrets.CODECOV_TOKEN }} | |
GPU: | |
if: github.repository == 'ultralytics/ultralytics' && (github.event_name != 'workflow_dispatch' || github.event.inputs.gpu == 'true') | |
timeout-minutes: 360 | |
runs-on: gpu-latest | |
steps: | |
- uses: actions/checkout@v4 | |
- name: Install requirements | |
run: pip install . pytest-cov | |
- name: Check environment | |
run: | | |
yolo checks | |
pip list | |
- name: Pytest tests | |
run: | | |
slow="" | |
if [[ "${{ github.event_name }}" =~ ^(schedule|workflow_dispatch)$ ]]; then | |
slow="--slow" | |
fi | |
pytest $slow --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: ${{ secrets.CODECOV_TOKEN }} | |
RaspberryPi: | |
if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event.inputs.raspberrypi == 'true') | |
timeout-minutes: 120 | |
runs-on: raspberry-pi | |
steps: | |
- uses: actions/checkout@v4 | |
- name: Activate Virtual Environment | |
run: | | |
python3.11 -m venv env | |
source env/bin/activate | |
echo PATH=$PATH >> $GITHUB_ENV | |
- name: Install requirements | |
run: | | |
python -m pip install --upgrade pip wheel | |
pip install -e ".[export]" pytest mlflow pycocotools | |
- name: Check environment | |
run: | | |
yolo checks | |
pip list | |
- name: Pytest tests | |
run: pytest --slow tests/ | |
- name: Benchmark ClassificationModel | |
run: python -m ultralytics.cfg.__init__ benchmark model='yolo11n-cls.pt' imgsz=160 verbose=0.249 | |
- name: Benchmark YOLOWorld DetectionModel | |
run: python -m ultralytics.cfg.__init__ benchmark model='yolov8s-worldv2.pt' imgsz=160 verbose=0.337 | |
- name: Benchmark SegmentationModel | |
run: python -m ultralytics.cfg.__init__ benchmark model='yolo11n-seg.pt' imgsz=160 verbose=0.195 | |
- name: Benchmark PoseModel | |
run: python -m ultralytics.cfg.__init__ benchmark model='yolo11n-pose.pt' imgsz=160 verbose=0.197 | |
- name: Benchmark OBBModel | |
run: python -m ultralytics.cfg.__init__ benchmark model='yolo11n-obb.pt' imgsz=160 verbose=0.597 | |
- name: Benchmark YOLOv10Model | |
run: python -m ultralytics.cfg.__init__ benchmark model='yolov10n.pt' imgsz=160 verbose=0.205 | |
- name: Benchmark Summary | |
run: | | |
cat benchmarks.log | |
echo "$(cat benchmarks.log)" >> $GITHUB_STEP_SUMMARY | |
# The below is fixed in: https://github.com/ultralytics/ultralytics/pull/15987 | |
# - name: Reboot # run a reboot command in the background to free resources for next run and not crash main thread | |
# run: sudo bash -c "sleep 10; reboot" & | |
Conda: | |
if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event.inputs.conda == 'true') | |
continue-on-error: 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: ${{ matrix.python-version }} | |
mamba-version: "*" | |
channels: conda-forge,defaults | |
channel-priority: true | |
activate-environment: anaconda-client-env | |
- name: Cleanup toolcache | |
run: | | |
echo "Free space before deletion:" | |
df -h / | |
rm -rf /opt/hostedtoolcache | |
echo "Free space after deletion:" | |
df -h / | |
- name: Install Linux packages | |
run: | | |
# Fix cv2 ImportError: 'libEGL.so.1: cannot open shared object file: No such file or directory' | |
sudo apt-get update | |
sudo apt-get install -y libegl1 libopengl0 | |
- name: Install Libmamba | |
run: | | |
conda config --set solver libmamba | |
- name: Install Ultralytics package from conda-forge | |
run: | | |
conda install -c pytorch -c conda-forge pytorch torchvision ultralytics openvino | |
- name: Install pip packages | |
run: | | |
# CoreML must be installed before export due to protobuf error from AutoInstall | |
pip install pytest "coremltools>=7.0; platform_system != 'Windows' and python_version <= '3.11'" | |
- name: Check environment | |
run: | | |
conda list | |
- name: Test CLI | |
run: | | |
yolo predict model=yolo11n.pt imgsz=320 | |
yolo train model=yolo11n.pt data=coco8.yaml epochs=1 imgsz=32 | |
yolo val model=yolo11n.pt data=coco8.yaml imgsz=32 | |
yolo export model=yolo11n.pt format=torchscript imgsz=160 | |
yolo solutions | |
- name: Test Python | |
# Note this step must use the updated default bash environment, not a python environment | |
run: | | |
python -c " | |
from ultralytics import YOLO | |
model = YOLO('yolo11n.pt') | |
results = model.train(data='coco8.yaml', epochs=3, imgsz=160) | |
results = model.val(imgsz=160) | |
results = model.predict(imgsz=160) | |
results = model.export(format='onnx', imgsz=160) | |
" | |
- name: PyTest | |
run: | | |
VERSION=$(conda list ultralytics | grep ultralytics | awk '{print $2}') | |
echo "Ultralytics version: $VERSION" | |
git clone https://github.com/ultralytics/ultralytics.git | |
cd ultralytics | |
git checkout tags/v$VERSION | |
pytest tests | |
Summary: | |
runs-on: ubuntu-latest | |
needs: [HUB, Benchmarks, Tests, GPU, RaspberryPi, 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.RaspberryPi.result == 'failure' || needs.Conda.result == 'failure' ) && github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push') && github.run_attempt == '1' | |
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 }} |