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.
Хакатон компании Ренью
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.
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 Machine Vision pipeline that automates feeding of fishes by detecting, tracking and scheduling feeding interval.
👤 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.
An intelligent traffic monitoring system using YOLOv8 for real-time vehicle tracking, perspective-based speed estimation, and Automatic License Plate Recognition (ALPR).
ExplainableTrack — an explainable, interpretable toolkit for object tracking with visualizations.
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