Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
Source codes for the paper "Learning Diverse Features with Part-Level Resolution for Person Re-Identification"
Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7,YOLOv8) and StrongSORT with OSNet
Omni-Scale reID net in a containerised PyTorch version
#计算机科学#BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
翻译 - 使用 YOLO v5 和深度排序的实时多目标跟踪器
A small library that wraps the OANDA API, for use in iOS
This example app showcases how to leverage the power of Combine, Async-await, and Escaping Closures provided by NetworkKit
Iranian Vehicle Tracking and Recognition + License Plate Recognition Using Yolov5, OSNet
采用osnet + BN + tricks在pa100、rap等数据集上行人属性识别达到sota结果