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OBS Virtual background plugin

English / Japanese

OBS Virtual background plugin is a plugin for OBS. This plugin allows you to crop the background area without a green screen like Zoom and Meet virtual backgrounds.

Supported Operating System

  • Windows 11 64bit
  • latest Mac OS, Intel architecture
  • Ubuntu-20.04 on x86_64 architecutre

Install

Windows

Download the latest version of obs-virtualbg-vX.X.X-win64.zip from Releases on the right side of the GitHub Page.

Extract the zip and copy the data and obs-plugins folders to your OBS Studio Folder (C:\Program Files\obs-studio by default).

Note: If you have the OBS Background removal plugin installed, uninstall it first, because the ONNXRuntime DLL will conflict.

Mac OS

Download the latest version of obs-virtualbg-vX.X.X-Darwin.zip from norihiro's fork repository.

Extract the zip and copy to ~/Library/Application Support/obs-studio/plugins/obs-virtualbg directry.

Linux

Download the latest version of obs-virtualbg-X.X.X-Linux.deb. And run sudo dpkg -i obs-virtualbg-X.X.X-Linux.deb

Usage

filter settings

Add Media source or Video capture device to scene, and open Filters.

Add Virtual Background Detector to Audio/Video Filters. and also add Virtual Background Renderer to Effect Filters. Both filters required.

Since v1.2.0, default inference engine is changed. Now, default inference engine is CPU. But, it is low accuracy, heavy to compute. If you can use GPU, changing to GPU is better. But some case, GPU engine is crashed at initialize phase.

Background settings

Place a background image, window capture, or game capture source below the filtered source. Set the size, crop, etc. to complete the settings.

Caution

Since the human region is detected by inference using a deep learning model, detection error inevitably occur. In some cases, the person's area is not detected and is transparent, and in other cases, the background area is mis-detected and some of the room is shown. In particular, it is not good at recognizing hands, so it may not be suitable for performance. This is a limitation of the detection model and is not something that can be adjusted by adjusting parameters. If you need accurate cropping, please use the green background and chroma key filters.