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- Introduction
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- Gameplan
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- How it Works
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- Tutorial Start
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- 1. Install and Import Dependencies
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- 2. Setup OpenCV Feed
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- 3. Apply Selfie Segmentation
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- 4. Process Results with Matplotlib
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- 5. Build Gradio App
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- Ending
Description:
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

Nicholas Renotte
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