Video conferencing software support for background blurring and background replacement under Linux is relatively poor. The Linux version of Microsoft Team does not support background blur. Over at Webcamoid, we tried to figure out if we can do these reliably using open source software (issues/250).
This repository started of as a tidy up of Benjamen Elder's blog post. His blogpost described a background replacement solution using Python, OpenCV, Bodypix neural network, which is only available under Tensorflow.js. The scripts in Elder's blogpost do not work out of box. This repository originally provided a turn-key solution for creating a virtual webcam with background replacement and additionally foreground object placement, e.g. a podium.
Over time this repository got strangely popular. However it has been clear over time that Bodypix is slow and difficult to set up. Various users wanted to use their GPU with Tensorflow.js, this does not always work. The extra code that provided GPU support sometimes created problems for CPU-only users.
Recently Google released selfie segmentation support for
Mediapipe. This
repository has been updated to use Mediapipe for image segmentation. This
significantly increased the performance. The older version of this repository
is now stored in the bodypix branch.
The performance improvement introduced by 2f7d698 means that you can get at least 25FPS on an i7-4900MQ.
You need to install either v4l2loopback or akvcam. This repository was originally written with v4l2loopback in mind. However, there has been report that v4l2loopback does not work with certain versions of Ubuntu. Therefore support for akvcam has been added.
The v4l2loopback kernel module can be installed through the package manager of your Linux distribution or compiled from source following the instructions in the v4l2loopback github repository.
Once installed, the module needs to be loaded. This can be done manually for the current session by running
sudo modprobe v4l2loopback devices=1 exclusive_caps=1 video_nr=2 card_label="fake-cam"which will create a virtual video device /dev/video2, however, this will not
persist past reboot. (Note that the exclusive_caps=1 option is required for
programs such as Zoom and Chrome).
To create the virtual video device on startup, run the v4l2loopback-install.sh
script to create /etc/modules-load.d/v4l2loopback.conf to load the module and
/etc/modprobe.d/linux-fake-background.conf to configure the module.
You can provide the video device number you want to use as an argument to this installation script.
For example, if you run v4l2-ctl --list-devices and get something like this:
Integrated Camera: Integrated C (usb-0000:00:14.0-4):
/dev/video0
/dev/video1
/dev/video2
/dev/video3
/dev/media0
/dev/media1
You would want to run the command as follows to use the next available device number:
./v4l2loopback-install.sh 4If you don't provide a video device number, the script will try to infer the next available device number for you.
This functionality requires grep with PCRE support and bc.
The camera will appear as fake-cam in your video source list.
If you get an error like
OSError: [Errno 22] Invalid argument
when opening the webcam from Python, please try the latest version of v4l2loopback from the its GitHub repository, as the version from your package manager may be too old.
You can also use v4l2loopback-ctl to control virtual video device.
To add a virtual video device, use sudo v4l2loopback-ctl add --exclusive-caps=1 --name="fake-cam" /dev/video2.
To remove a virtual video device, use sudo v4l2loopback-ctl delete /dev/video2.
To list available virtual video devices, use sudo v4l2loopback-ctl list.
If you are using Ubuntu 18.04, and if you want to use v4l2loopback, please compile v4l2loopback from the source. You need to do the following:
- Remove the
v4l2loopbackpackagesudo rmmod -r v4l2loopbacksudo apt-get remove v4l2loopback-dkms
- Install DKMS and the Linux kernel headers
sudo apt-get install dkms linux-headers-`uname -r`
- Install v4l2loopback from the repository
git clone https://github.com/umlaeute/v4l2loopback.gitcd v4l2loopback
- Install the module via DKMS
sudo cp -R . /usr/src/v4l2loopback-1.1sudo dkms add -m v4l2loopback -v 1.1sudo dkms build -m v4l2loopback -v 1.1sudo dkms install -m v4l2loopback -v 1.1
- Load the module
sudo modprobe v4l2loopback
This may apply for other versions of Ubuntu as well. For more information, please refer to the following Github issue.
To install akvcam, you need to do the following:
- Install the driver by following the instruction at Akvcam wiki. I recommend installing and managing the driver via DKMS.
- Configure the driver by copying
akvcamto/etc/. Please note that the configuration file I supplied locks your Akvcam instance to a resolution of 1280x720. It is different to the configuration file automatically generated by Webcamoid, as my configuration locks the input/output colour format of Akvcam. - Note down the output of
ls /dev/video*. - Run
sudo modprobe akvcamor make the akvcam start with a system:sudo akvcam-install.sh - Akvcam should have created two extra
videodevices. - When running
lfbw.py, you need to set-vto the first video device that Akvcam created, e.g. if Akvcam created/dev/video5and/dev/video6, you need to set-v /dev/video5. - The software that uses the virtual webcam should the second device that
Akvcam created, e.g. if Akvcam created
/dev/video5and/dev/video6, you need to set the software to use/dev/video6.
Note that in akvcam/config.ini, Akvcam (Output device) is the device
that lfbw.py outputs to, and Akvcam (Capture device) is the "capture
device", which is opened by the software that you want to use the virtual webcam
with.
You might have to specify the --no-ondemand flag when using Akvcam.
For more information on configuring Akvcam, please refer to Akvcam wiki
Both v4l2loopback and Akvcam require custom kernel module. This might not be possible if you have secure boot enabled. Please refer to your device manufacturer's manual on disabling secure boot.
Set up a virtual environment running Python >= 3.8 and <=3.11. You can use conda, pyenv, virtual-env or whatever you like.
Activate this virtual environment.
Mediapipe requires pip version 19.3 or above. (Please refer to here and here). Upgrade pip by running:
python -m pip install --upgrade pip
Then clone the repository and install the software:
git clone https://github.com/fangfufu/Linux-Fake-Background-Webcam
cd Linux-Fake-Background-Webcam
python -m pip install --upgrade .
If pip complains about being unable to resolve mediapipe, it means you are running an unsupported Python version (<3.8 or >3.11). Mediapipe currently supports only Python 3.8-3.11.
The use of Docker is no longer supported. I no longer see any reason for using Docker with this software. However I have left behind the files related to Docker, for those who want to fix Docker support. Please also refer to DOCKER.md. The Docker related files were provided by liske.
Docker made starting up and shutting down the virtual webcam more convenient for when Bodypix was needed. The ability to change background and foreground images on-the-fly is unsupported when running under Docker.
Inside the virtual environment in which you installed the software, simply run
lfbwYou configure it using a ini file, see ./config-example.ini.
To run with a config file, use the following command:
lfbw -c ./config-example.iniThe files that you might want to replace are the followings:
background.jpg- the background imageforeground.jpg- the foreground imageforeground-mask.jpg- the foreground image mask
By default this program uses on-demand processing. The program processes images
from the real webcam only when there are programs using the fake webcam. If
there are no programs reading from the fake webcam, this program disconnects the
real webcam, pauses processing and outputs a black image at 1 FPS to reduce CPU
usage. You can manually toggle between the paused/unpaused state by pressing
CTRL-C. Unpausing the program also reload the files listed above. This
allows you to replace them without restarting the program. You can disable the
on-demand processing behaviour by specifying the --no-ondemand flag.
Note that animated background is supported. You can use any video file that can be read by OpenCV.
lfbw supports the following options:
usage: lfbw [-h] [-c CONFIG] [-W WIDTH] [-H HEIGHT] [-F FPS] [-C CODEC]
[-w WEBCAM_PATH] [-v V4L2LOOPBACK_PATH] [--no-background]
[-b BACKGROUND_IMAGE] [--tile-background] [--background-blur k]
[--background-blur-sigma-frac frac] [--background-keep-aspect]
[--no-foreground] [-f FOREGROUND_IMAGE]
[-m FOREGROUND_MASK_IMAGE] [--hologram] [--no-ondemand]
[--background-mask-update-speed BACKGROUND_MASK_UPDATE_SPEED]
[--use-sigmoid] [--threshold THRESHOLD] [--no-postprocess]
[--select-model SELECT_MODEL] [--cmap-person CMAP_PERSON]
[--cmap-bg CMAP_BG]
Faking your webcam background under GNU/Linux. Please refer to:
https://github.com/fangfufu/Linux-Fake-Background-Webcam
optional arguments:
-h, --help show this help message and exit
-c CONFIG, --config CONFIG
Config file (default: None)
-W WIDTH, --width WIDTH
Set real webcam width (default: 1280)
-H HEIGHT, --height HEIGHT
Set real webcam height (default: 720)
-F FPS, --fps FPS Set real webcam FPS (default: 30)
-C CODEC, --codec CODEC
Set real webcam codec (default: MJPG)
-w WEBCAM_PATH, --webcam-path WEBCAM_PATH
Set real webcam path (default: /dev/video0)
-v V4L2LOOPBACK_PATH, --v4l2loopback-path V4L2LOOPBACK_PATH
V4l2loopback device path (default: /dev/video2)
--no-background Disable background image and blur the real background
(default: False)
-b BACKGROUND_IMAGE, --background-image BACKGROUND_IMAGE
Background image path, animated background is
supported. (default: background.jpg)
--tile-background Tile the background image (default: False)
--background-blur k The gaussian bluring kernel size in pixels (default:
21)
--background-blur-sigma-frac frac
The fraction of the kernel size to use for the sigma
value (ie. sigma = k / frac) (default: 3)
--background-keep-aspect
Crop background if needed to maintain aspect ratio
(default: False)
--no-foreground Disable foreground image (default: False)
-f FOREGROUND_IMAGE, --foreground-image FOREGROUND_IMAGE
Foreground image path (default: foreground.jpg)
-m FOREGROUND_MASK_IMAGE, --foreground-mask-image FOREGROUND_MASK_IMAGE
Foreground mask image path (default: foreground-
mask.png)
--hologram Add a hologram effect. Shortcut for --selfie=hologram
(default: False)
--selfie SELFIE Foreground effects. Can be passed multiple time and
support the following effects: "hologram",
"solid=<N,N,N>", "cmap=<name>" and "blur=<N>"
(default: [])
--no-ondemand Continue processing when there is no application
using the virtual webcam (default: False)
--background-mask-update-speed BACKGROUND_MASK_UPDATE_SPEED
The running average percentage for background mask
updates (default: 50)
--use-sigmoid Force the mask to follow a sigmoid distribution
(default: False)
--threshold THRESHOLD
The minimum percentage threshold for accepting a pixel
as foreground (default: 75)
--no-postprocess Disable postprocessing (masking dilation and blurring)
(default: True)
--select-model SELECT_MODEL
Select the model for MediaPipe. For more information,
please refer to https://github.com/fangfufu/Linux-
Fake-Background-
Webcam/issues/135#issuecomment-883361294 (default: 1)
--cmap-person CMAP_PERSON
Apply colour map to the person using cmapy. Shortcut
for --selfie=cmap=<name>. For examples, please refer
to https://gitlab.com/cvejarano-
oss/cmapy/blob/master/docs/colorize_all_examples.md
(default: None)
--cmap-bg CMAP_BG Apply colour map to background using cmapy (default:
None)
--selfie=<filter> can be specified multiple times and accept a filter + its optional
arguments like --selfie=FILTER[=FILTER_ARGUMENTS].
Each filter is applied to the foreground (self) in the order they appear.
The following are supported:
- hologram: Apply an hologram effect?
- solid=<B,G,R>: Fill-in the foreground fowith the specific color
- cmap=<name>: Apply colour map <name> using cmapy
- blur=<N>: Blur (0-100)
Example:
lfbw.py --selfie=blur=30 --selfie=hologram # slightly blur and apply the hologram effect
Args that start with '--' (eg. -W) can also be set in a config file (specified
via -c). Config file syntax allows: key=value, flag=true, stuff=[a,b,c] (for
details, see syntax at https://goo.gl/R74nmi). If an arg is specified in more
than one place, then commandline values override config file values which
override defaults.
Modify ./systemd-user/lfbw_start_wrapper.sh to suit your needs.
In particular, point to the correct activate shim for your virtual environment, and to the correct path to your config file.
Copy the file inside $HOME/.local/bin folder.
cp ./systemd-user/lfbw_start_wrapper.sh $HOME/.local/bin/
Copy the systemd service file from systemd-user folder to a location
suitable for user-defined systemd services (typically
$HOME/.config/systemd/user).
cp ./systemd-user/lfbw.service $HOME/.config/systemd/user/
To start the service and enable it so that it is run after login, run the following (as normal user):
$ systemctl --user start lfbw
$ systemctl --user enable lfbw
Check that the process is running smoothly:
$ systemctl --user status lfbw
Thanks for your contribution to the project!
The source code of this repository are released under GPLv3.
Linux Fake Background Webcam
Copyright (C) 2020-2024 Fufu Fang
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
