ID: 5d8a01a7ef1a6d55dbca34be
Orange to Apple GAN
Automatically converts oranges to apples in images with the generative AI.
This model contains Dockerfile.
License: BSD 2
Tags:
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What is it?
Automatically converts oranges to apples 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 oranges 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 Orange2App -f Dockerfile . && docker run -it Orange2App - Run
python src/run.py -- input Input --output Output.
Voila ! Oranges have been converted to Apples 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
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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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