TensorFlow.js - Cricket Shot classification using Pose Detection

Sat, 13 Nov 2021 00:00:00 +0000

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 and square cut. We will utilize BlazePose TensorFlow.js model to obtain the poses from images of players playing the above shots. We will then feed these poses data to a KNN classifier to classify between these three shots.

Pose Detection using BlazePose in TensorFlow.js

Mon, 11 Oct 2021 00:00:00 +0000

Human Pose Detection is fascinating as there are endless use cases and opens up the possibility for various kinds of applications which were earlier either difficult to build or required specialized hardware and software.

Photo by Alex Shaw on Unsplash

In this article, I will walk you through the steps required to build a simple JavaScript app that detects human poses using Pose Detection API in TensorFlow.js utilizing the Mediapipe BlazePose model.

Pose-Detection on Selvam Subbiah

TensorFlow.js - Cricket Shot classification using Pose Detection

Pose Detection using BlazePose in TensorFlow.js