# Detection Model Training

Per-set training pipeline for the anchor-free, center-heatmap-based (CenterNet-style)
CNN detectors — one model per label set (Enemy, Items, Traps, ...). Custom, small/
efficient architectures sized around the overall 66ms/tick inference budget. Includes
KPI evaluation (precision, recall, mAP-equivalent for the heatmap formulation) against
held-out labeled data.

See CLAUDE.md §3.3–3.4 for full requirements.

**Status:** not yet implemented.

## Setup

```
python -m venv .venv
source .venv/bin/activate
pip install -e .
```