November 2021

Face Landmarks Detection using MediaPipe Face Mesh in TensorFlow.js – Part 3

/

This article is the continuation of the previous article on MediaPipe Face Mesh model in TensorFlow.js, where we looked at creating the triangle mesh of the face using the model’s output. Here, we will look at detecting and tracking iris within the eyes using the MediaPipe Iris model. 1. Iris Detection MediaPipe Iris model accurately […]

Face Landmarks Detection using MediaPipe Face Mesh in TensorFlow.js – Part 3 Read More »

Facial Landmarks Detection using MediaPipe Face Mesh in TensorFlow.js – Part 2

/

This article is the continuation of the previous article on MediaPipe Face Mesh model in TensorFlow.js, where we looked at the basic usage of this model. Here, we will look at how to connect the 468 3D facial landmark predictions as multiple triangles to create a triangle mesh of the face. 1. Triangle Mesh To

Facial Landmarks Detection using MediaPipe Face Mesh in TensorFlow.js – Part 2 Read More »

Facial Landmarks Detection using MediaPipe Face Mesh in TensorFlow.js

/

In this article, we will walk through an example to identify facial landmarks using the state of the art MediaPipe Face Mesh model. This model is present in the Face Landmarks Detection package in TensorFlow.js library’s pre-trained model suite. This is part 1 of a series of articles in which we dive into the details

Facial Landmarks Detection using MediaPipe Face Mesh in TensorFlow.js Read More »

TensorFlow.js – Cricket Shot classification using Pose Detection

/

In this article, we will look at how to use Pose Detection in TensorFlow.js to classify cricket shots. In the game of cricket, there are many different shots played, such as cover drive, square cut, flick, sweep, straight drive, etc. In this example, we will attempt to classify three cricket shots – cover drive, flick

TensorFlow.js – Cricket Shot classification using Pose Detection Read More »