ID: 5d89f6a2a0171346e315e544

Vangogh Style GAN

by Deepak Mangla

Automatically converts images to Vangogh Style paintings with the generative AI.


License: BSD 2

Tags: CycleGAN GAN painting Vangogh style

Ā Model stats and performance
Dataset Used View
Framework PyTorch
OS Used Linux
Publication View
Inference time in seconds per sample.

Screenshots


What is it?

Want to paint like the famed artist Vangogh? Relax and let AI do this for you ! This AI model can convert any given images to Vangogh Style paintings.

How to use?

Using pip Prerequisites - cuda 10.1 and python 3.6

  • Install all requirements with command pip install -r requirements.txt.
  • Put one or more images in 'Input' folder. (Initially sample images are provided for testing purpose).
  • Run python src/run.py -- input Input --output Output
  • Using docker*
  • Prerequisites - Docker > 19.03*
  • Build docker image and run docker container - docker build -t Vangogh -f Dockerfile . && docker run -it Vangogh
  • Run python src/run.py -- input Input --output Output .

Voila ! Images have been converted to Vangogh style paintings and have been stored in 'Output' directory.

Stats

CPU - 0.96 s GPU - 0.036 s

Tested on

  • python 3.5
  • ubuntu 16.04
  • cuda 10.1

Author View Profile


Deepak Mangla
Faridabad, India
Level 25 34010 XP

1304 Profile
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AI wizard who thinks with first principles

I am Deep Learning (Computer Vision) Engineer with specialization in enabling AI on the resource-constrained edge devices. I work on quantizations, pruning and efficient designing and deployment of DL networks. Read my article about Winograd - https://blog.usejournal.com/understanding-winograd-fast-convolution-a75458744ff

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