Learn how to build an Object Tracker using YOLOv3, Deep SORT, and Tensorflow! Run the real-time object tracker on both webcam and video. This video will show you how to get the necessary code, setup required dependencies and run the tracker.

#objecttracker #yolov3 #deepsort

YOLOv3 is an algorithm that uses deep convolutional neural networks to perform object detection. We can feed these object detections into Deep SORT (Simple Online and Realtime Tracking with a Deep Association Metric) in order for a real-time object tracker to be created.

In this video I cover:

  1. Setting up and Installing Dependencies
  2. Downloading and Converting YOLOv3 weights into Tensorflow model files for detections.
  3. How to run object tracker in real-time on webcam and video!

Get the code here: https://github.com/theAIGuysCode/yolov3_deepsort

#tensorflow #yolov3 #python

How to Build an Object Tracker Using YOLOv3, Deep SORT and TensorFlow
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