Gimp-ML – Machine Learning Python plugins for GIMP

栏目: IT技术 · 发布时间: 4年前

内容简介:Preprint:Set of Machine Learning Python plugins for GIMP.The plugins have been tested with GIMP 2.10 on the following machines:

GIMP-ML

Preprint: Link

Set of Machine Learning Python plugins for GIMP.

The plugins have been tested with GIMP 2.10 on the following machines:

[1] macOS Catalina 10.15.3

[2] ubuntu 18.04 LTS

Screenshot of Menu

Gimp-ML – Machine Learning Python plugins for GIMP

Installation Steps

[1] Install GIMP .

[2] Clone this repository: git clone https://github.com/kritiksoman/GIMP-ML.git

[3] Open GIMP and go to Preferences -> Folders -> Plug-ins, add the folder gimp-plugins and close GIMP.

[4] Download weights.zip (1.22 GB) and save it in gimp-plugins folder.

[5] Open terminal and run :

bash installGimpML-mac.sh bash moveWeights.sh

[6] Open GIMP.

Demo videos on YouTube

Gimp-ML – Machine Learning Python plugins for GIMP Gimp-ML – Machine Learning Python plugins for GIMP Gimp-ML – Machine Learning Python plugins for GIMP Gimp-ML – Machine Learning Python plugins for GIMP Gimp-ML – Machine Learning Python plugins for GIMP Gimp-ML – Machine Learning Python plugins for GIMP Gimp-ML – Machine Learning Python plugins for GIMP

Paper References

[1] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network ( https://arxiv.org/abs/1609.04802 )

[2] DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better ( https://arxiv.org/abs/1908.03826 )

[3] Digging into Self-Supervised Monocular Depth Prediction ( https://arxiv.org/abs/1806.01260 )

[4] BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation ( https://arxiv.org/abs/1808.00897 )

[5] MaskGAN: Towards Diverse and Interactive Facial Image Manipulation ( https://arxiv.org/abs/1907.11922 )

[6] Perceptual Losses for Real-Time Style Transfer and Super-Resolution ( https://cs.stanford.edu/people/jcjohns/eccv16/ )

[7] Rethinking Atrous Convolution for Semantic Image Segmentation ( https://arxiv.org/abs/1706.05587 )

Code References

The following have been ported :

[1] https://github.com/switchablenorms/CelebAMask-HQ

[2] https://github.com/TAMU-VITA/DeblurGANv2

[3] https://github.com/zllrunning/face-parsing.PyTorch

[4] https://github.com/nianticlabs/monodepth2

[5] https://github.com/richzhang/colorization

[6] https://github.com/twtygqyy/pytorch-SRResNet

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}
}

以上就是本文的全部内容,希望本文的内容对大家的学习或者工作能带来一定的帮助,也希望大家多多支持 码农网

查看所有标签

猜你喜欢:

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

编程珠玑(续)(修订版)

编程珠玑(续)(修订版)

【美】Jon Bentley 乔恩•本特利 / 钱丽艳、刘田 / 人民邮电出版社 / 2015-2 / CNY 35.00

历史上最伟大的计算机科学著作之一 融深邃思想、实战技术与趣味轶事于一炉的奇书 带你真正领略计算机科学之美 多年以来,当程序员们推选出最心爱的计算机图书时,《编程珠玑》总是位于前列。正如自然界里珍珠出自细沙对牡蛎的磨砺,计算机科学大师Jon Bentley以其独有的洞察力和创造力,从磨砺程序员的实际问题中凝结出一篇篇不朽的编程“珠玑”,成为世界计算机界名刊《ACM通讯》历史上最受欢......一起来看看 《编程珠玑(续)(修订版)》 这本书的介绍吧!

HTML 压缩/解压工具
HTML 压缩/解压工具

在线压缩/解压 HTML 代码

随机密码生成器
随机密码生成器

多种字符组合密码

UNIX 时间戳转换
UNIX 时间戳转换

UNIX 时间戳转换