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NIMA: Neural IMage Assessment

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truskovskiyk/nima.pytorch

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PyTorch implementation ofNeural IMage Assessment by Hossein Talebi and Peyman Milanfar. You can learn more fromthis post at Google Research Blog.

Installing

Docker

docker run -it truskovskiyk/nima:latest /bin/bash

PYPI package (In Progress)

pip install nima

VirtualEnv

git clone https://github.com/truskovskiyk/nima.pytorch.gitcd nima.pytorchvirtualenv -p python3.7 envsource ./env/bin/activate

Dataset

The model was trained on theAVA (Aesthetic Visual Analysis) datasetYou can get it fromhereHere are some examples of images with theire scoresresult1

Pre-train model (In Progress)

Deployment (In progress)
Usage
nima-cliUsage: cli.py [OPTIONS] COMMAND [ARGS]...Options:  --help  Show this message and exit.Commands:  get_image_score  Get image scores  prepare_dataset  Parse, clean and split dataset  run_web_api      Start serverfor model serving  train_model      Train model  validate_model   Validate model
Previous version of this project is still valid and works
you can find here
Contributing
Contributing are welcome
License
This project is licensed under the MIT License - see theLICENSE file for details
Acknowledgments
Releases
No releases published
Packages
        No packages published
Contributors2
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