ID: 5d89f3dfa0171346e315e53f
Apple to Orange GAN
Automatically converts apple to oranges in images with the generative AI.
This model contains Dockerfile.
License: BSD 2
Tags:
Screenshots
What is it?
Automatically converts apples to oranges in 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 horses 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 app2Orange -f Dockerfile . && docker run -it app2Orange - Run
python src/run.py -- input Input --output Output.
Voila ! Apples have been converted to Oranges 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
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
User Reviews
0 total ratings
Model has not been reviewed yet.
