Have you ever wondered how the "Custom Background" or "Blur Background" features work in Zoom, MS Teams, Google Meet, or Skype? How can a machine understand the difference between a person and the background without depth-capturing techniques or a green screen?
That's where image segmentation comes into the game. Image segmentation is one of the most valuable features that Machine Learning provides to us these days. Image Segmentation is still in active research, and as a result, we have many SOTA Machine Learning methods to provide precise pixel-level segmentation.
There are many pretrained selfie segmentation models, but I chose to go with the MediaPipe Selfie Segmentation solution in this tutorial.
Text version tutorial: https://pylessons.com/remove-background
GitHub code: https://github.com/pythonlessons/back...
#python #machinelearning #opencv