Python: Real-time Multiple Object Tracking (MOT) with Yolov3, Tensorflow and Deep SORT [FULL COURSE]

TABLE OF CONTENT
Introduction 00:01:38
Part 1 - How to setup a local GPU environment 00:02:45
- Full list of Python Packages 00:05:38
Part 2 - How to convert YOLO to Tensorflow 00:07:27
Part 3 - How to detect, recognize and track multiple objects 00:10:54
Part 4 - Programming exercise
- Multiple Object Tracking 00:21:02
- Multiple Object Tracking with historical trajectory 01:07:03
- Multiple Object Tracking - Counter (Gate) 01:15:55
- Multiple Object Tracking - Counter (Zone) 01:25:17

USEFUL LINKS
Full explanation of custom object training in Python
   • Python: Real-time Single & Multiple C...  
Github
https://github.com/emasterclassacadem...
Yolov3 weights
https://pjreddie.com/media/files/yolo...
Yolov3-tiny weights
https://pjreddie.com/media/files/yolo...


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REFERENCE
https://github.com/yehengchen/Object-...
https://github.com/AlexeyAB/darknet
https://github.com/theAIGuysCode/yolo...
https://github.com/anguoyang/keras-yo...
https://www.intechopen.com/books/inte...
http://www.isy.liu.se/edu/projekt/bil...