How to Build an Object Tracker Using YOLOv3, Deep SORT and TensorFlow
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.
----Resources----
Get the code here: https://github.com/theAIGuysCode/yolo...
Run YOLOv3 and train custom weights in the cloud: • YOLOv3 in the CLOUD : Install and Tra...
Train custom YOLOv3 model on local machine: • Train YOLOv3 Custom Object Detector w...
Run YOLOv3 Object Detections in Real-time: • Real-time Yolov3 Object Detection for...
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!
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The AI Guy
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