This article is a continuation of the previous article on Semantic Image Segmentation in the browser using TensorFlow.js pre-trained DeepLab model. Here, we will use the DeepLab model’s output to manipulate specific parts of the image based on user selection. Essentially, we will allow the user to remove or restore a specific segment of an […]
In Computer Vision, one of the main challenges is to understand an image at a higher level like the way we humans do, i.e., to identify the objects, their location and their surroundings to make sense of the scene captured in the image. Semantic Image Segmentation is the process of identifying the objects present in
TensorFlow.js – Semantic Image Segmentation in browser using DeepLab model Read More »
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 »
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 »
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 »
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 »
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. In this article, I will walk you through the steps required to build a simple JavaScript app that detects human poses
Pose Detection using BlazePose in TensorFlow.js Read More »
I have often wondered if I can build a tool that can accept custom queries to filter photos and images based on the items present in the image. There are some popular apps such as Google Photos, OneDrive, etc. which provide this sort of functionality to various degrees but they don’t necessarily let the user
Image Categorization using Object Detection in TensorFlow.js Read More »
As most of us are working from home now, it has become a normal thing to set a custom background for our video calls through popular apps such as Zoom or Microsoft Teams. In this article, we will look at how to change the background for live webcam videos using TensorFlow.js. We will be making
Change background for videos using TensorFlow.js Read More »
Most of us interested in TensorFlow.js would be familiar with the popular demo of disappearing people in real time by Jason Mayes. This is a fantastic example of what is possible using TensorFlow.js in the browser. Jason is gracious to share the code of this application for others to learn and implement their own versions
Understanding the Real Time Person Removal project – TensorFlow.js Read More »