Learn to create a deep learning selfie segmentation web application using Mediapipe, Gradio, and Python in this comprehensive tutorial video. Discover how to strip out backgrounds from photos using a prebuilt machine learning model and integrate it into a Gradio app. Follow along as the instructor guides you through installing dependencies, setting up an OpenCV feed, applying selfie segmentation, processing results with Matplotlib, and building a Gradio app. Access the provided code on GitHub and explore additional resources from Gradio. Perfect for developers interested in machine learning applications and web development.
Build a Deep Learning Selfie Segmentation Web App Using Gradio
Overview
Syllabus
- Introduction
- Gameplan
- How it Works
- Tutorial Start
- 1. Install and Import Dependencies
- 2. Setup OpenCV Feed
- 3. Apply Selfie Segmentation
- 4. Process Results with Matplotlib
- 5. Build Gradio App
- Ending
Taught by
Nicholas Renotte
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