transparent-background 1.0.3

Make images with transparent background

Transparent Background

This is a background removing tool powered by InSPyReNet (ACCV 2022). You can easily remove background from the image or video or bunch of other stuffs when you can make the background transparent!

Image	Video

:inbox_tray: Installation

Dependencies

package	version (>=)
pytorch	1.7.1
torchvision	0.8.2
opencv-python	4.6.0.66
timm	0.6.11
tqdm	4.64.1
kornia	0.5.4
gdown	4.5.4

Install command

# via pypi
pip install transparent-background

# via github
pip install git+https://github.com/plemeri/transparent-background.git

# locally
pip install . e

:pencil2: Usage

:computer: Command Line

transparent-background --source [SOURCE] --dest [DEST] --type [TYPE]

• --source [SOURCE]: Specify your data in this argument.

  • Single image - image.png
  • Folder containing images - path/to/img/folder
  • Single video - video.mp4
  • Folder containing videos - path/to/vid/folder

• --dest [DEST] (optional): Specify your destination folder. If not specified, it will be saved in current directory.

• --type [TYPE]: Choose between rgba, map green, blur, overlay, and another image file.

  • rgba will generate RGBA output regarding saliency score as an alpha map. Note that this will not work for video input.
  • map will output saliency map only.
  • green will change the background with green screen.
  • blur will blur the background.
  • overlay will cover the salient object with translucent green color, and highlight the edges.
  • Another image file (e.g., backgroud.png) will be used as a background, and the object will be overlapped on it.

  Examples of different TYPE argument choices

:crystal_ball: Python API

• Usage Example

import cv2

from PIL import Image
from transparent_background import Remover

remover = Remover()

# Usage for image
img = Image.open('samples/aeroplane.jpg') # read image

out = remover.process(img) # default setting - transparent background
out = remover.process(img, type='rgba') # same as above
out = remover.process(img, type='map') # object map only
out = remover.process(img, type='green') # image matting - green screen
out = remover.process(img, type='blur') # blur background
out = remover.process(img, type='overlay') # overlay object map onto the image
out = remover.process(img, type='samples/background.jpg') # use another image as a background

Image.fromarray(out).save('output.png') # save result

# Usage for video
cap = cv2.VideoCapture('samples/b5.mp4') # video reader for input
fps = cap.get(cv2.CAP_PROP_FPS)

writer = None

while cap.isOpened():
    ret, frame = cap.read() # read video

    if ret is False:
        break
        
    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) 
    img = Image.fromarray(frame).convert('RGB')

    if writer is None:
        writer = cv2.VideoWriter('output.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, img.size) # video writer for output

    out = remover.process(img, type='map') # same as image, except for 'rgba' which is not for video.
    writer.write(cv2.cvtColor(out, cv2.COLOR_BGR2RGB))

cap.release()
writer.release()

:outbox_tray: Uninstall

pip uninstall transparent-background

:page_facing_up: Licence

See LICENCE for more details.