/rembg

Rembg is a tool to remove images background.

Primary LanguagePythonMIT LicenseMIT

Rembg

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Rembg is a tool to remove images background. That is it.

If this project has helped you in any way, please consider making a donation.

Installation

CPU support:

pip install rembg

GPU support:

GPU=1 pip install rembg

Usage as a cli

Remove the background from a remote image

curl -s http://input.png | rembg i > output.png

Remove the background from a local file

rembg i path/to/input.png path/to/output.png

Remove the background from all images in a folder

rembg p path/to/input path/to/output

Usage as a server

Start the server

rembg s

Open your browser to

http://localhost:5000?url=http://image.png

Also you can send the file as a FormData (multipart/form-data):

<form action="http://localhost:5000" method="post" enctype="multipart/form-data">
   <input type="file" name="file"/>
   <input type="submit" value="upload"/>
</form>

Usage as a library

Example 1: Read from stdin and write to stdout

In app.py

import sys
from rembg.bg import remove

sys.stdout.buffer.write(remove(sys.stdin.buffer.read()))

Then run

cat input.png | python app.py > out.png

Example 2: Using PIL

In app.py

from rembg.bg import remove
import numpy as np
import io
from PIL import Image

input_path = 'input.png'
output_path = 'out.png'

# Uncomment the following line if working with trucated image formats (ex. JPEG / JPG)
# ImageFile.LOAD_TRUNCATED_IMAGES = True

f = np.fromfile(input_path)
result = remove(f)
img = Image.open(io.BytesIO(result)).convert("RGBA")
img.save(output_path)

Then run

python app.py

Usage as a docker

First compile with:

docker build . -t rembg

Then run with:

docker run --rm -i rembg i in.png out.png

Advance usage

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

curl -s http://input.png | rembg i -a -ae 15 > output.png
Original Without alpha matting With alpha matting (-a -ae 15)

In the cloud

Please contact me at danielgatis@gmail.com if you need help to put it on the cloud.

References

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License

Copyright (c) 2020-present Daniel Gatis

Licensed under MIT License