Build your own selfie segmentation model using Mediapipe, Gradio and Python.

The selfie segmentation model allows you to quickly and easily strip out the background from photos using a prebuilt machine learning model.

We’re going to take it one step further though and integrate it to a Gradio app!

Once again thanks so much to Gradio for sponsoring this video. If you need to transform your ML models into standalone apps and make them shine, DEFINITELY check them out at gradio.app and get started for free!

Chapters
0:00 - Introduction
0:14 - Gameplan
1:10 - How it Works
1:39 - Tutorial Start
2:37 - 1. Install and Import Dependencies
4:55 - 2. Setup OpenCV Feed
8:41 - 3. Apply Selfie Segmentation
13:30 - 4. Process Results with Matplotlib
26:54 - 5. Build Gradio App
36:29 - Ending

Link to Code: https://github.com/nicknochnack/SelfieSegmentationwithGradio

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