Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

virtual-bg

Package Overview
Dependencies
Maintainers
1
Versions
16
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

virtual-bg

Easily add virtual background effects to your video/camera input inside any web browser

  • 0.1.21
  • latest
  • Source
  • npm
  • Socket score

Version published
Weekly downloads
79
increased by68.09%
Maintainers
1
Weekly downloads
 
Created
Source

Easily add virtual background effects to your video/camera input inside any web browser

Try a working demo here

Install from npm using:

npm install virtual-bg

or include directly in HTML:

<script src="https://cdn.jsdelivr.net/npm/virtual-bg@latest/virtual-bg.min.js"></script>

A simple example to apply blur/image background to camera input:

index.html
<div>
    <video autoplay="true" id="inputVideoElement"></video>
    <canvas id="output_canvas"></canvas>
</div>
index.js
import { segmentBackground, applyBlur, applyImageBackground } from'virtual-bg';

const inputVideoElement = document.querySelector('#inputVideoElement');
const outputCanvasElement = document.querySelector('#output_canvas');

let myStream = await navigator.mediaDevices.getUserMedia({
      video: true
});

inputVideoElement.srcObject = myStream;

// segments foreground & background
segmentBackground(inputVideoElement, outputCanvasElement);  

// applies a blur intensity of 7px to the background 
applyBlur(7); 

// applies an image background
const image = new Image();
image.src = 'https://imageurl.jpg'
applyImageBackground(image);

API:

To separate foreground from background:
segmentBackground(inputVideoElement, outputCanvasElement, modelSelection <optional>); 

Parameters:

  • inputVideoElement: <HTMLVideoElement> Source of video which is to be used for applying segmentation.
  • outputCanvasElement: <HTMLCanvasElement> Canvas Element where output is to be displayed.
  • modelSelection: Numerical value to select type of model to be used for segmentation.
    0 : General
    1 : Landscape (default)
    General (0) can be used when there is only 1 person in the view and not far away from the camera.
    Landscape works better if there are multiple people or distance from the camera is more.
To apply blur effect to background:
applyBlur(blurIntensity <optional>); 

Parameters:

  • blurIntensity: Numerical value in pixels to apply a blur filter to the background. This uses the same filter as used in CSS blur filter
    default = 7
To apply image to background:
applyImageBackground(imageElement); 

Parameters:

  • imageElement: <HTMLImageElement> Image element to be set as background. You can create a new element dynamically using the Image() constructor.
To apply video to background:
applyVideoBackground(videoElement); 

Parameters:

To apply screen capture to background:
applyScreenBackground(screenCaptureStream); 

Parameters:

To change foreground type. Can be used to set foreground as a smaller snip at the bottom right corner of the output like a YouTube/Twitch stream.

An example use case for this can be when user has set screen capture as the background and want to present something.

changeForegroundType(foregroundType, offset<optional>); 

Parameters:

  • foregroundType: normal | presenter Type of foreground. Presenter mode shrinks the foreground and displays it in the bottom right corner.
  • offset: Numerical value in pixels for setting custom offset when presenter mode is selected.
    For example: -100 offset will move the foreground by 100 pixels to the right.



Note: I'm using mediapipe's selfie segmentation model and library as a base.

For any doubts/feedback/suggestions, please start an issue/discussion at https://github.com/akhil-rana/virtual-bg or contact me at contact@akhilrana.com

Keywords

FAQs

Package last updated on 19 Sep 2023

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc