# UROP — Physics-Informed UNet++ for Multi-Hazard Detection

## Overview
Physics-informed deep learning model for large-scale multi-hazard segmentation
using satellite imagery (SAR + optical).

## Architecture
- UNet++ backbone (ResNet34 encoder)
- Physics-informed regularization
- Optuna-tuned hyperparameters

## Key Metrics
- Validation IoU: **1.00**
- Inference: FP16 GPU streaming (Kaggle)

## Files
- `model_logits_traced.pt` — TorchScript
- `model_logits_dynamic.onnx` — ONNX
- `metrics.json` — evaluation
- `optuna_best.json` — hyperparameters

## License
Apache-2.0