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Jonas 65155ce22e Scaffold monorepo structure for all pipeline components 
Add top-level README, .gitignore, and per-component directories
(recording, labeling backend/frontend, training, inference, control)
with READMEs and pyproject.toml/package skeletons per CLAUDE.md §2-3.
No implementation yet, just structure to build against.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-16 07:16:55 +02:00
..
src/spelunkai_training
Scaffold monorepo structure for all pipeline components
2026-07-16 07:16:55 +02:00
pyproject.toml
Scaffold monorepo structure for all pipeline components
2026-07-16 07:16:55 +02:00
README.md
Scaffold monorepo structure for all pipeline components
2026-07-16 07:16:55 +02:00

README.md

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 .