Poker Log
Real-time capture with OCR of players, board, pot, and stacks, plus rule-based decision-support overlays.
Five focused workspaces cover the entire lifecycle from live capture to dataset cleanup, always as a training and research tool.
Modules included
LumiGap turns a visible poker table into structured analytics. ScreenCaptureKit streams pixels, Vision OCR parses text, and Core ML models find ROI regions, cards, and stacks before writing logs locally.
Tracker
Session, bankroll, ROI, and ITM tracking with per-hand timelines and export-ready summaries.
Visualizer
Label ROI regions, correct detections, and validate screen-based ML datasets before training.
Converter
Generate Create ML manifests, JSON metadata, and automation scripts for ML dataset workflow.
Combiner
Merge multiple datasets, remove duplicates, and normalize structures for collaborative research.
Screen-based analytics pipeline
Configure ROI overlays, frequency, and external detectors to match your research presets.