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feat: 🚀 add YOLOv8s WorldV2 deployment workflow and model predictor #154

feat: 🚀 add YOLOv8s WorldV2 deployment workflow and model predictor

feat: 🚀 add YOLOv8s WorldV2 deployment workflow and model predictor #154

Workflow file for this run

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
name: CI
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
python-version: ["3.11", "3.12"]
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Setup uv
uses: astral-sh/setup-uv@v6
- name: Install dependencies
run: |
uv pip install --system -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu
- name: Test test_prediction.py syntax
run: |
python -m py_compile test_prediction.py
python test_prediction.py --help
- name: Test prediction script
run: |
# Test Python import works
python -c "from yolo11n.predict import Predictor; print('yolo11n predictor import OK')"
continue-on-error: true
- name: Validate Cog configuration
run: |
# Check YAML syntax
python -c "import yaml; yaml.safe_load(open('yolo11n/cog.yaml')); print('yolo11n cog.yaml valid')"