ID: 5d89f70ea0171346e315e545

Winter to Summer GAN

by Deepak Mangla

Automatically converts winter images to summer images with the generative AI.


Contains Dockerfile  This model contains Dockerfile.


License: BSD 2

Tags: CycleGAN Winter to Summer

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

Screenshots


What is it?

Automatically converts winter images to Summer images with the generative AI.

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 of winter 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 win2summ -f Dockerfile . && docker run -it win2summ
  • Run python src/run.py -- input Input --output Output .

Voila ! winter have been converted to Summer and images 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
Gold
25
LEVEL

8047 Profile
Views

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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