History

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_inference

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

Inference / Runtime Loop

The live tick loop: screen capture → parallel detection models (per label set) → high-level HUD/status logic classifiers (health, gold, bombs, ropes, level — fixed UI regions) → state vector construction (entity list + relative positions, HUD status, downsampled raw frame). Must fit the entire perception → state-vector pipeline inside the 66ms/tick compute budget (~15Hz).

See CLAUDE.md §3.4, §3.5, §4 for full requirements.

Status: not yet implemented.

Setup

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