roi-tracking

Car Counter using YOLOv8 is a real-time vehicle detection and counting system powered by Ultralytics’ YOLOv8. It processes video streams to identify and track cars as they cross user-defined Regions of Interest (ROI), providing an accurate live count overlay. Built with modular Python code and OpenCV, the project supports video inputs and customiza

Image region of interest tracker in Python3 using OpenCV. Supports frame images and stdin pipeline from ffmpeg.

AgentForge MVP - Agent判断力培养平台

Forward Deployed Engineer skill framework: Discovery -> Architecture -> Build -> ROI Evaluation, with an automated evaluator that scores engagements against contracted SLAs and business metrics. Ships adapter files for 8 AI coding agents.

Simple Python/OpenCV demo for ROI tracking and basic re-detection using a webcam.