nadermx/backgroundremover
Fork: 443 Star: 5334 (更新于 1970-01-01 00:00:00)
license: MIT
Language: Python .
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
最后发布版本: v0.2.5 ( 2023-08-16 06:37:58)
BackgroundRemover
BackgroundRemover is a command line tool to remove background from image and video using AI, made by nadermx to power https://BackgroundRemoverAI.com. 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 use
-
torch and torchvision stable version (https://pytorch.org)
-
ffmpeg 4.4+
-
To clarify, you must install both python and whatever dev version of python you installed. IE; python3.10-dev with python3.10 or python3.8-dev with python3.8
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 pull them from this repo
It is also possible to run this without installing it via pip, just clone the git to local start a virtual env and install requirements and run
python -m backgroundremover.cmd.cli -i "video.mp4" -mk -o "output.mov"
and for windows
python.exe -m backgroundremover.cmd.cli -i "video.mp4" -mk -o "output.mov"
Installation using Docker
git clone https://github.com/nadermx/backgroundremover.git
cd backgroundremover
docker build -t bgremover .
alias backgroundremover='docker run -it --rm -v "$(pwd):/tmp" bgremover:latest'
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 different 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 "/path/to/videtobeoverlayed.mp4" -o "output.mov"
remove background from local video and overlay it over an image
backgroundremover -i "/path/to/video.mp4" -toi "/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 premiere
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"
Set total number of frames of the video (default is set to -1, ie the remove background from full video)
backgroundremover -i "/path/to/video.mp4" -fl 150 -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 different background removal methods between u2netp
, u2net
, or u2net_human_seg
and limit the frames to 150
backgroundremover -i "/path/to/video.mp4" -m "u2net_human_seg" -fl 150 -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 BackgroundRemoverAI.com or this git, telling people that you like it or use it.
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
- https://arxiv.org/pdf/2005.09007.pdf
- https://github.com/NathanUA/U-2-Net
- https://github.com/pymatting/pymatting
- https://github.com/danielgatis/rembg
- https://github.com/ecsplendid/rembg-greenscreen
- https://superuser.com/questions/1647590/have-ffmpeg-merge-a-matte-key-file-over-the-normal-video-file-removing-the-backg
- https://superuser.com/questions/1648680/ffmpeg-alphamerge-two-videos-into-a-gif-with-transparent-background/1649339?noredirect=1#comment2522687_1649339
- https://superuser.com/questions/1649817/ffmpeg-overlay-a-video-after-alphamerging-two-others/1649856#1649856
License
- Copyright (c) 2021-present Johnathan Nader
- Copyright (c) 2020-present Lucas Nestler
- Copyright (c) 2020-present Dr. Tim Scarfe
- Copyright (c) 2020-present Daniel Gatis
Code Licensed under MIT License Models Licensed under Apache License 2.0
最近版本更新:(数据更新于 1970-01-01 00:00:00)
2023-08-16 06:37:58 v0.2.5
2023-07-18 23:40:03 v0.2.4
2023-05-29 09:34:06 v0.2.3
2023-05-16 12:33:09 v0.2.2
2023-05-06 03:57:37 v0.2.1
2021-08-13 23:33:58 v0.1.9
2021-08-13 22:33:56 v0.1.8
2021-07-31 06:40:46 v0.1.7
2021-07-31 06:20:46 v0.1.6
2021-07-08 08:17:48 v0.1.5
主题(topics):
ai, background-removal, background-remover, backgroundremover, photo-editing, python, pytorch, remove-background, remove-background-image, remove-background-video, removebackground, video, video-editing
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