This branch is under development. Dedicated for GIMP 3 and Python 3. ⭐ ⭐ ⭐ ⭐ are welcome. Waiting for GIMP 3 to release officially.

Objectives

[1] Model Ensembling.
[2] Deep learning inference package for different computer vision tasks.
[3] Bridge gap between CV research work and real world data.
[4] Add AI to routine image editing workflows.

Contribution

Welcome people interested in contribution !! Join us on Slack -->
Contribution guidelines available --> Link.

Use as a Python Package

import cv2
import gimpml
image = cv2.imread('sampleinput/img.png')
out = gimpml.kmeans(image)
cv2.imwrite('output/tmp-kmeans.jpg', out)
out = gimpml.deblur(image)
cv2.imwrite('output/tmp-deblur.jpg', out)

Use with GIMP

Installation Steps

[1] Install GIMP 2.99.6 (Only windows and linux)
[2] Clone this repository: git clone https://github.com/kritiksoman/GIMP-ML.git
[3] Change branch :
git checkout --track origin/GIMP3-ML
[3] On linux, run for GPU/CPU:
bash GIMP-ML/install.bat
On windows, run for CPU:
GIMP-ML\install.bat
On windows, run for GPU:
GIMP-ML\install.bat gpu
[4] Follow steps that are printed in terminal or cmd.
FYI: weights link --> Link

Windows	Linux

Model Zoo

Name	License	Dataset
deblur	BSD 3-clause	GoPro
faceparse	MIT	CelebAMask-HQ
coloring	MIT	ImageNet
monodepth	MIT	Multiple
super-resolution	MIT	ImageNet
matting	Non-commercial purposes	Adobe Deep Image Matting
semantic-segmentation	MIT	ADE20K
kmeans	BSD	-
dehazing	MIT	Custom
denoising	GPL3	BSD68
enlighten	BSD	Custom
interpolate-frames	MIT	HD
inpainting	CC BY-NC 4.0	CelebA, CelebHQ, Places2, Paris StreetView
Detect Objects	Apache-2.0	COCO
Filter Folder	Apache-2.0	COCO
Canny Edge	Apache-2.0	-

Citation

Please cite using the following bibtex entry:

@article{soman2020GIMPML,
  title={GIMP-ML: Python Plugins for using Computer Vision Models in GIMP},
  author={Soman, Kritik},
  journal={arXiv preprint arXiv:2004.13060},
  year={2020}
}

License

GIMP-ML is , but each of the individual plugins follow the same license as the original model's.