In this video I will focus on how Yolo algorithms(mainly yolov3) work.
So what is happening between feeding the image to the network and getting the detections.
I will also share with you the tool that I created that is an interactive notebook,
that allows you to explore this alogrithm on your own.
Link to the repository:
https://github.com/MaxMLgh/YOLO_tutorial
Table of context:
0:00 Intro and installation
3:11 How back-bone feature extractor works
11:30 From feature maps to detection
23:47 How does YOLO picks the right detections
31:13 Tips for better detection
37:49 Which implementation of YOLO to use
