README.md

metadata

title: AI Change Detection
emoji: 🛰️
colorFrom: gray
colorTo: green
sdk: docker
app_port: 7860

Satellite Change Detection — Standalone Web App

Standalone web application for satellite image change detection with user accounts, database storage, and a clean, modern UI.

Features

• Login / Register — JWT-based auth, passwords hashed with bcrypt
• Database — SQLite (or set DATABASE_URL for PostgreSQL); stores users and detection runs
• Change detection — Same model as the original app: AI-based, image difference, feature-based, hybrid
• Object classification — Changed regions labeled as Water, Vegetation/Tree, Building, Road, Bare Ground/Soil
• History — List of past runs with overlay images and stats
• UI — Single-page app with a dark, “control room” style and teal accents

Setup

1. Create a virtual environment (recommended)

   cd change_detection_webapp
   python -m venv venv
   source venv/bin/activate   # Windows: venv\Scripts\activate
   

2. Install dependencies

   pip install -r requirements.txt
   

3. Run the app

   uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
   

4. Open http://localhost:8000 in your browser.

First run

• The SQLite DB and data/ (overlay images) are created automatically on first use.
• Register a new account from the welcome screen, then sign in.
• Upload Before and After images, choose a method, and click Run detection.
• Results appear below; runs are saved in History.

Configuration

• Database: set DATABASE_URL (e.g. postgresql://user:pass@host/db) to use another DB; otherwise SQLite under data/satellite_app.db is used.
• JWT: set SECRET_KEY in app/auth.py (or via env) in production.

Project layout

change_detection_webapp/
├── app/
│   ├── main.py           # FastAPI app, routes
│   ├── database.py       # SQLAlchemy, session
│   ├── models.py         # User, DetectionRun
│   ├── auth.py           # JWT, password hashing
│   └── detection_engine.py  # Change detection (no Streamlit)
├── static/
│   ├── css/style.css     # Styles
│   └── js/app.js         # Frontend logic
├── templates/
│   └── index.html        # Single-page UI
├── data/                 # Created at runtime (DB + overlays)
├── requirements.txt
└── README.md

API (for integration)

• POST /api/auth/register — body: { "email", "password", "full_name" }
• POST /api/auth/login — body: { "email", "password" } → returns access_token
• GET /api/me — header: Authorization: Bearer <token>
• POST /api/detect — form: before, after (files), method, title, etc. → returns stats, regions, overlay base64
• GET /api/history — list of current user’s runs
• GET /api/overlay/<path> — serve saved overlay image