vision-ai

# Vision AI Unified computer vision API for object detection, OCR, face recognition, and image analysis. ## Production Deployment This repository is wired to the shared LangGraph deployment orchestration agent: - Pre-production validation - Docker build validation - Production hardening checks - Deployment orchestration - Post-production validation - Deployment reporting - Parallel deployment support - Time and cost budget enforcement Deployment flow: ```text main branch merge → deployment agent validation → provider deployment → live validation → deployment report generation ``` Shared deployment agent: - `AGenNext/code-deploy` ## Where This Agent Deploys Current deployment mode: | Field | Value | |---|---| | Provider | `webhook` | | Runtime target | Coolify, Dokploy, Cloud Run trigger, AWS trigger, or any deployment webhook target | | Deploy trigger | `DEPLOY_WEBHOOK_URL` GitHub secret | | Production URL | `DEPLOYED_BASE_URL` GitHub secret | | Compose file | `docker-compose.deploy.yml` | | Dockerfile | `Dockerfile` | | Runtime API | `app:app` | | Health endpoint | `/health` | To deploy through Coolify: ```text DEPLOY_WEBHOOK_URL=<coolify deploy webhook> DEPLOYED_BASE_URL=<public deployed URL> ``` ## Required GitHub Secrets | Secret | Description | |---|---| | `DEPLOY_WEBHOOK_URL` | Deployment webhook URL | | `DEPLOYED_BASE_URL` | Public deployment URL used for validation | ## Runtime A lightweight FastAPI runtime surface is included for deployment validation. Run locally: ```bash uvicorn app:app --host 0.0.0.0 --port 8000 ``` Health endpoint: ```text GET /health ``` ## Features - **Object Detection** - Detect and classify objects in images - **OCR (Optical Character Recognition)** - Extract text from images - **Face Detection** - Detect and analyze faces - **Image Classification** - Categorize images - **Scene Understanding** - Analyze image context ## API Endpoint ```text POST /api/v1/vision/detect POST /api/v1/vision/ocr POST /api/v1/vision/faces POST /api/v1/vision/classify ``` ## Quick Start ```bash # Using OpenAutonomyX CLI autonomyx vision detect --image photo.jpg # Using API curl -X POST https://api.openautonomyx.com/api/v1/vision/detect \ -H "Authorization: Bearer YOUR_API_KEY" \ -F "image=@photo.jpg" ``` ## Production Files | File | Purpose | |---|---| | `Dockerfile` | Production container runtime | | `docker-compose.deploy.yml` | Production deployment compose | | `.github/workflows/deploy.yml` | Shared deployment-agent workflow | | `requirements.txt` | Python runtime dependencies | | `app.py` | FastAPI deployment runtime | ## Documentation - [API Reference](docs/api.md) - [Models Guide](docs/models.md) - [Integration Examples](docs/examples.md) --- **Repository:** [openautonomyx/vision-ai](https://github.com/openautonomyx/vision-ai) **License:** MIT