Learning and implementing different AI-powered apps using the TensorFlow.js library empowers you to do so many amazing things with ML in the browser.
This tutorial is the latest in my series using TensorFlow.js for machine learning and implementing those models in React apps. Here, we’ll learn about another TensorFlow library that helps with body segmentation.
Body segmentation is a deep learning task that segments and highlights the boundaries between different sections of the body, such as the torso, lower arm, upper arm, thigh, and lower leg. The body-pix model provided by TensorFlow.js can detect up to 23 different segments of the human body.
In this tutorial, we will learn how to segment the body parts using the webcam in real-time and then draw colored masks based on body parts in the canvas.
The idea is to create a React app with a webcam stream that feeds the video data to the body-pix TF.js model, which segments out body parts, allowing us to draw colored masks on top of those body parts.
What we will cover in this tutorial
Creating a canvas to stream video out from the webcam.
Detecting and segmenting body parts using a pre-trained body-pix model from TensorFlow.js.
Drawing colored segment masks around the body parts on the JavaScript canvas in real-time using the webcam feed.
Let’s get started!

#machine-learning #tensorflow #tensorflowjs #segmentation #heartbeat