Real time Object detection and tracking with YOLO-NAS and OC-SORT

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In this tutorial we will learn how to integrate YOLO-NAS with OC-SORT to simulate real time visual object detection and tracking. We will learn how to speed up YOLO-NAS inference for single frame detection by leveraging the super-gradients API pipeline for prediction. We will also see how OC-SORT can replace SORT with just a single line of code.

  1. PixelOverflow
  2. DeepLearning
  3. ComputerVision
  4. BoundingBoxes
  5. Camera
  6. Traffic
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Комментарии
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Thank you. Never seen that from start to finish before.

lovol
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Thank you! Can you please make a video on how to make and train a custom yolo-NAS model and run it for real time object detection

jokerofdestruction
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Can it measure the real-time speed of the objects? or any analysis that we can do?

Watching the objects with bounding boxes moving is not really useful

nguyenthehoang