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Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
ZoneGuard - Real-time perimeter security system using YOLO11 for detecting persons entering restricted zones. Tracks movement with distance, speed, and duration analytics.
An AI-driven Adaptive Traffic Signal Control System (ATSCS) that replaces static timers with dynamic green-light phases. Utilizes YOLOv8 for real-time vehicle density estimation and multi-class classification, achieving 96.4% mAP. Optimized for low-latency inference (>30 FPS) on edge devices to reduce urban congestion and commuter wait times.
A production-ready computer vision system for real-time retail intelligence. Features YOLOv8 person detection, BoT-SORT tracking, store occupancy, zone analytics, customer journey mapping, and spatial heatmaps with a React dashboard
A complete computer vision pipeline for soccer video understanding. It combines YOLO11, BoT-SORT, and HSV pitch filtering for robust player tracking, alongside tactical behavior analysis via ROI presence estimation
A production-grade pipeline for real-time person detection, unique identity tracking, and foot-traffic analytics. Built with fine-tuned YOLO, BoT-SORT, ONNX, and Streamlit for ultra-fast local edge inference.
An intelligent traffic monitoring system using YOLOv8 for real-time vehicle tracking, perspective-based speed estimation, and Automatic License Plate Recognition (ALPR).
An automated computer vision system that uses YOLOv11 and OpenCV to detect, track, and count vehicles by class and direction in real-time using virtual line-crossing logic.
👤 Conditional diffusion model for 64x64 face generation on CelebA, conditioned on gender, smile, and age attributes. Implements a DDPM-based architecture for controllable face synthesis and attribute-guided sampling.