[tutorial] yolov5_ DeepSort_ The whole process of pytoch target tracking and detection

Video recording of the whole project configuration process and tutorial explanation process , searchable b Station or watermelon video up： Hang Piao Xiao Zhang .

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On the subject ：

As the name suggests, target tracking is used to detect and track the motion trajectory of the target object , Through its trajectory, we can obtain the corresponding data . For example, tracking pedestrians on a street , It can detect the flow of people passing through the current road , Testing vehicles , To count the traffic flow, etc .

The code can be in github Search for , Let's search for the one with the highest downloads .

First you need to download Yolov5_DeepSort_Pytorch Code ：

GitHub - mikel-brostrom/Yolov5_DeepSort_Pytorch: Real-time multi-object tracker using YOLO v5 and deep sort

  This is for and yolov5 Version match for , We download Yolov5_DeepSort_Pytorch:v3.0 Version of , The downloaded page is as follows ：

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