#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件,提供多种主流目标检测、实例分割、跟踪、关键点检测算法,配置化的网络模块组件、数据增强策略、损失函数等,推出多种服务器端和移动端工业级SOTA模型,并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。
#大语言模型#《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
MOT using deepsort and yolov3 with pytorch
翻译 - 使用Deepsort和yolov3与pytorch进行MOT跟踪
Lightweight Python library for adding real-time multi-object tracking to any detector.
翻译 - 轻量级Python库,用于向任何检测器添加实时2D对象跟踪。
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中
最新版本yolov5+deepsort目标检测和追踪,能够显示目标类别,支持5.0版本可训练自己数据集
support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++
基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
A c++ implementation of yolov5 and deepsort
DeepSORT + YOLOv5
Real-time multi-camera multi-object tracker using YOLO varients
using yolox+deepsort for object-tracking
#计算机科学#A framework for building high-performance real-time multiple object trackers
A really more real-time adaptation of deep sort
This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.
基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline
#计算机科学#NVIDIA Deepstream 6.1 Python boilerplate