GDebi is usually installed by default on most Ubuntu-based distros.

Open the terminal, type in the following command and press Enter to install GDebi.

This method is recommended for those who are new to Linux or prefer a graphical installer. Note: These steps also apply to most other Ubuntu-based distros like Kubuntu and Elementary.

Using a graphical installer (Fedora only).Oracle Linux, CentOS, RedHat, or Fedora.Note: If you are a new or inexperienced Linux user, follow sections to use the graphical installer. You can also use these instructions to update an existing Zoom installation on Linux. Live swap background by replacing file data/background.jpg - refresh rate hard coded at 3 seconds.Follow these instructions to install Zoom on Linux distros like Debian, Ubuntu, Linux Mint, and Arch. Launch zoom/teams/slack., select v4l2loopback as webcam start the virtual camera via docker-compose (assuming physical video device at /dev/video0, virtual video device at /dev/video20 and gpu at /dev/nvidia0).(optional) adjust camera resolution and fps in docker-compose.yml.add root to group video (likely unecessary.).Sudo modprobe v4l2loopback devices=1 video_nr=20 card_label='v4l2loopback' exclusive_caps=1 Sudo apt-get install -y v4l2loopback-dkms v4l2loopback-utils install and setup virtual video device as '/dev/video20', and assuming the actual video device is '/dev/video0'.

(for those using GPU) test nvidia-docker is installed properlyĭocker run -gpus all nvidia/cuda:10.0-base nvidia-smi (for those using GPU) install nvidia-docker ( ) I have tested the below instructions with Ubuntu 20.04, code used is archived in īranch master requires GPU, while branch cpu-friendly uses only CPU.ĮDIT: after getting the below to work, I also found out there is a more refined version by fangfufu which is also based on solution. The modified images are then used to create the video feed via pyfakewebcam and v4l2loopback. For each image, the face/body is cropped using TensorFlow.js Bodypix, and merged with the specified background. What the code is doing essentially is grabbing image frames with Python and OpenCV.

These instructions were originally posted by and IMO is a super fun and neat project, especially if you are into computer vision. The solution below helps achieve the similar effect, and since it creates a virtual webcam, you can most likely use this solution for any apps that use a webcam, for example, Microsoft Teams. Edit: Zoom 5.8.0 supports virtual background without greenscreen!Īs of writing this, Zoom does not support person/face-detection based virtual background in their Linux-version software.

Download zoom for linux