RA1 Vision AI

Status: Under Development

ZERO CODE INJECTION • PURE COMPUTER VISION • HARDWARE-INDEPENDENT AUTONOMY

RTX 4060 GPU OpenRA / RA1
Doc: RA1-SPEC-01

System Blueprint & Telemetry

PERCEPTION
MSS / DXCam Window Capture (1280x720 ROI)
BRAIN CORE
OpenCV matching & CUDA YOLO Nano models
EXECUTION
OS-level DirectInput hardware scan-codes
STACK
Python 3.14 + PyDirectInput

Architectural Line of Thought

PHASE 1: Deterministic Basics (Active)

Unpack MCV, parse sidebar UI, execute build loops (Power Plant, Barracks) without memory hooks.

PHASE 2: Tactical Visual Recognition

Train custom YOLO nano weights on local RTX 4060 for unit vectors and ore/gem resource nodes.

PHASE 3: Online Human Benchmark & Iteration

Deploy against online human lobbies to log live combat telemetry, measure response latency, and evolve model capability.

Milestone Progress

  • Base Screen Grabber [DONE]
  • Template Matching [ACTIVE]
  • YOLO Object Detection [PENDING]
  • Minimap Radar Parser [PENDING]
  • Online Human Match vs AI [PLANNED]

Pipeline

Host: Cloudflare Pages Edge

Sync: GitHub Auto-Pipeline