A Powerful package to perform different types of stable and unstable Sorting algorithms. 🔥🔥🔥
Code and notes for the Stanford Algorithms Specialization course.
Real-time object detection & tracking pipeline — Mask R-CNN + SORT algorithm with Kalman filtering. 78.4% tracking accuracy, 100% ID stability. Self-supervised evaluation metrics.
Real-time multi-object detection and tracking system using YOLOv8, SORT algorithm with Kalman filtering, and OpenCV on live webcam streams.
YOLOv8 object detection with SORT tracking algorithm and automated counting system for video surveillance
Algorithm implementation in Python
Real-time vehicle detection, multi-object tracking, speed estimation, vehicle counting, and traffic analytics using YOLOv8, SORT, OpenCV, and Python.
repository to store some sorting algorithms
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