BackgroundRemover

BackgroundRemover is a command line tool to remove background from video and image, made by nadermx to power https://BackgroundRemover.app. If you wonder why it was made read this short blog post.

Requirements

python <= 3.6
python3.6-dev #or what ever version of python you using
torch and torchvision stable version (https://pytorch.org)
ffmpeg 4.4+

How to install torch and fmpeg

Go to https://pytorch.org and scroll down to INSTALL PYTORCH section and follow the instructions.

For example:

PyTorch Build: Stable (1.7.1)
Your OS: Windows
Package: Pip
Language: Python
CUDA: None

To install ffmpeg and python-dev

sudo apt install ffmpeg python3.6-dev

Installation

To Install backgroundremover, install it from pypi

pip install --upgrade pip
pip install backgroundremover

Please note that when you first run the program, it will check to see if you have the u2net models, if you do not, it will get them from u2net's google drive, as they say too here, and in this repo the code that pulls it is here

Usage as a cli

Image

Remove the background from a local file image

backgroundremover -i "/path/to/image.jpeg" -o "output.png"

Advance usage for image background removal

Sometimes it is possible to achieve better results by turning on alpha matting. Example:

backgroundremover -i "/path/to/image.jpeg" -a -ae 15 -o "output.png"

change the model for diferent background removal methods between u2netp, u2net, or u2net_human_seg

backgroundremover -i "/path/to/image.jpeg" -m "u2net_human_seg" -o "output.png"

Video

remove background from video and make transparent mov

backgroundremover -i "/path/to/video.mp4" -tv -o "output.mov"

remove background from local video and overlay it over other video

backgroundremover -i "/path/to/video.mp4" -tov -tv "/path/to/videtobeoverlayed.mp4" -o "output.mov"

remove background from video and make transparent gif

backgroundremover -i "/path/to/video.mp4" -tg -o "output.gif"

Make matte key file (green screen overlay)

Make a matte file for premier

backgroundremover -i "/path/to/video.mp4" -mk -o "output.matte.mp4"

Advance usage for video

Change the framerate of the video (default is set to 30)

backgroundremover -i "/path/to/video.mp4" -fr 30 -tv -o "output.mov"

Change the gpu batch size of the video (default is set to 1)

backgroundremover -i "/path/to/video.mp4" -gb 4 -tv -o "output.mov"

Change the number of workers working on video (default is set to 1)

backgroundremover -i "/path/to/video.mp4" -wn 4 -tv -o "output.mov"

change the model for diferent background removal methods between u2netp, u2net, or u2net_human_seg

backgroundremover -i "/path/to/video.mp4" -m "u2net_human_seg"-tv -o "output.mov"

Todo

convert logic from video to image to utilize more GPU on image removal
clean up documentation a bit more
add ability to adjust and give feedback images or videos to datasets
add ability to realtime background removal for videos, for streaming
finish flask server api
add ability to use other models than u2net, ie your own.
other

Pull requests

Accepted

If you like this library

Give a link to our project BackgroundRemover.app or this git, telling people that you like it or use it.

bitcoin

Reason for project

We made it our own package after merging together parts of others, adding in a few features of our own via posting parts as bounty questions on superuser, etc. As well as asked on hackernews earlier to open source the image part, so decided to add in video, and a bit more.

References

License

Licensed under MIT License

ryparker/backgroundremover