ID: 5d89f44da0171346e315e540
Monet Style GAN
Automatically converts images to Monet Style paintings with the generative AI.
This model contains Dockerfile.
License: BSD 2
Tags:
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What is it?
Want to paint like the famed artist Monet? Relax and let AI do this for you !
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 Monet -f Dockerfile . && docker run -it Monet - Run
python src/run.py -- input Input --output Output.
Voila ! Images have been converted to Monet style paintings and images have been stored in 'Output' directory.
Stats:
CPU inference time - 0.96 s. GPU inference time - 0.036 s.
Tested on:
- python 3.5
- ubuntu 16.04
- cuda 10.1
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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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