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.
BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
Π₯Π°ΠΊΠ°ΡΠΎΠ½ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Π Π΅Π½ΡΡ
SOTA Multi Object Tracker in Cpp
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 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.
ExplainableTrack β an explainable, interpretable toolkit for object tracking with visualizations.
A Machine Vision pipeline that automates feeding of fishes by detecting, tracking and scheduling feeding interval.
An intelligent traffic monitoring system using YOLOv8 for real-time vehicle tracking, perspective-based speed estimation, and Automatic License Plate Recognition (ALPR).
π€ 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.
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.
VisionTrack AI is a production-grade multi-object detection & tracking app powered by YOLOv8 + BoT-SORT/ByteTrack, featuring a rich interactive Streamlit dashboard with live Plotly analytics, class filtering, MP4 export, and optional W&B logging.
End-to-end Computer Vision system using YOLOv11 + BoT-SORT for detecting and counting date palm trees from aerial imagery. Flask REST API + React Native mobile app.
Add a description, image, and links to the bot-sort topic page so that developers can more easily learn about it.
To associate your repository with the bot-sort topic, visit your repo's landing page and select "manage topics."