BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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Updated
May 27, 2024 - Python
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .
Real-Time Face Recognition use SCRFD, ArcFace, ByteTrack, Similarity Measure
Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)
Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.
Packaged version of the ByteTrack repository
Анализ трафика на круговом движении с использованием компьютерного зрения
juxtapose: Multi-Person Pose Tracking Inference SDK with RTMDet, YOLOv8, GDino, RTMPose (ONNX) & Trackers (ByteTrack & BotSORT) & Tapnet with custom ROIs + FastAPI GPU exe
yolox-bytetrack-sampleのマルチクラス拡張版
A Baseline for Multi Objective Tracking (MOT) of Soccer and Soccer Players Based on SoccerNet Tracking Dataset and PaddleDetection.
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
Advanced Vehicle Tracking and Detection System using ByteTrack, Supervision, and YOLO Algorithms
ConveyorVision is an innovative real-time system designed to automate the counting and tracking of cement bags on conveyor belts. Utilizing cutting-edge deep learning techniques like YOLOv8 for object detection and Byte tracker for precise tracking, ConveyorVision accurately monitors cement bags as they traverse the conveyor belt.
Standalone ByteTrack in Python, extracted from official implementation with very few dependencies
Vehicle Tracking and Counting using Yolo and ByteTrack
Реализация базовых алгоритмов SORT и DeepSORT для задачи трекинга (MOT) в компьютерном зрении
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