edubpt edubpt 是用 C++ 编写的双向路径跟踪的简单实现。源代码发布在 Github 上，并有日文注释。

Eyeboard 是一个开源项目，旨在帮助残障人士。

当前多目标追踪大多遵循了Tracking-by-detection范式完成跟踪任务。Tracking-by-detection范式将追踪任务分为两步完成：目标检测与数据关联。公式解读是针对“Global Transformer Tracking”这篇论文中对训练策略及推理的一些公式理解。

matlab人脸检测框脸代码描述 This project is very similar to my another project multiple-object-tracking, the only difference is a general YOLO3 detector in that project replaced by the MTCNN model (detecting faces only). Face detection and tracking is one of the most widely used application of deep-learning. Face detection model only detects faces visible on current frame. To track obstacle faces and moving faces, we need to solve a multiple-object-tracking problem. This could be done in two steps: 1, Dete

路由追踪工具,追踪和查询网段内那些IP被使用

在二维环境中使用IMM算法对单目标追踪，包含了CV

突破追单，趋势印钞机！

目标跟踪 C++ OpenCV KCF目标追踪 ，速度快 fps 20+，精度高， 注释详细，可直接用

基于stm32f407搭建的太阳能最大功率点追踪器

光线追踪的历史，介绍，vulkan光线追踪流水线，基于powervr gpu的光线追踪架构