Jonas
2989a0814c
Slice a recorded session's lossless video into individual frame PNGs (ffmpeg -vsync 0, no drop/dup) via a new `extract-frames` subcommand, with frame count cross-checked against the manifest and input log so any capture-rate drift surfaces immediately instead of silently misaligning frames and logged input later. Includes a real end-to-end test against an ffmpeg-generated synthetic video (skipped when ffmpeg isn't installed, e.g. bare WSL). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
SpelunkAI
A multi-stage AI system that learns to play Spelunky Classic HD: trained perception models, deterministic HUD-state classifiers, and a control agent that first imitates human play (behavior cloning) and later learns autonomously (reinforcement learning).
Full project spec, architecture, timing constraints, and roadmap live in
CLAUDE.md — that document is the source of truth. This README is just
a map of the repo.
Layout
| Directory | Component | Spec section |
|---|---|---|
recording/ |
Recording Tool — captures gameplay video + input log on the recording PC | 3.1 |
labeling/ |
Web-Based Labeling Tool — backend + frontend for bounding-box labeling | 3.2 |
training/ |
Per-set training pipeline for the anchor-free CNN detectors | 3.3 |
inference/ |
Runtime inference loop — capture → detectors → HUD classifiers → state vector, within the 66ms/tick budget | 3.4, 3.5 |
control/ |
Control Agent — behavior cloning now, RL later | 3.6 |
Each component directory has its own README with more detail and its own .venv
(per CLAUDE.md §6), since components run on different machines (recording PC vs.
jai) and have independent dependencies.
Status
Repo scaffold only — no components are implemented yet.