YOLOR + DeepSORT Multi Object Tracking | OpenCV Python DEMO

Computer Vision Demo Of YOLOR and DeepSORT Multi-Object tracking made with OpenCV and Python

⭐GET CODE + TUTORIAL - https://augmentedstartups.info/YOLORPROCourse 💻Get Started with YOLOR - https://augmentedstartups.info/YOLOR-Get-Started

DeepSORT which was created by Wojke et al in 2017, is a tracking-by detection algorithm. So, what happens is that it only considers information about the current and previous frames to make predictions about the current frame without the need to process the whole video at once. SORT in Deep SORT stands for Simple Online and Realtime Tracking which is an accurate description of the model.

Now tracking assumes that we have an already detected an object of interest. For detection as you may already know is done with YOLOR. Once we have detected the object, it is assigned an ID and is tracked using DeepSORT.

So in this application, we have applied deep sort for tracking of vehicles on a highway for traffic surveillance applications.

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#YOLOR #OpenCV #Python ... https://www.youtube.com/watch?v=keXpp8FhORI