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This repo host a comprehensive solution for multi-object tracking in combination with YOLO and DeepSORT in carla simulator .
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Open-source simulator for autonomous driving research.
《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
Lightweight Python library for adding real-time multi-object tracking to any detector.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
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