Metadata-Version: 2.1
Name: timst
Version: 0.2.0
Summary: Image style transfer using Torch
Home-page: https://github.com/Radonirinaunimi/Style-Transfer
Author: Tanjona R. Rabemananjara
Author-email: tanjona.rabemananjara@mi.infn.it
License: UNKNOWN
Description: ![license](https://img.shields.io/github/license/Radonirinaunimi/Style-Transfer?style=flat-square)
        ![repo size](https://img.shields.io/github/repo-size/Radonirinaunimi/Style-Transfer?style=flat-square)
        #### Description
        ----------------
        
        **Timst** is a python package based on [pyTorch]() that extracts the features of an image and tranfers them into another; such a technique is known as *image style transfer*. The following implementation is a re-implementation of this [code]() that is based on the following [scientific paper](https://arxiv.org/pdf/1508.06576.pdf). The architecture is based on [Convolutional Neural Network](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf) (CNN) which is one of the applications of [Deep Learning](https://en.wikipedia.org/wiki/Deep_learning).
        
        
        #### How to install
        -------------------
        
        There are different ways the package can be installed: 
        * By clonning this repository and running the following command in the terminal (you might require <kbd>sudo</kbd> privilege)
        ```bash
        git clone https://github.com/Radonirinaunimi/Style-Transfer
        cd Style-Transfer/
        python setup.py install --user
        ```
        * By installing it through the Python Package Index (PyPI)
        ```bash
        pip install timst --upgrade
        ```
        
        #### How to use
        ---------------
        
        To use **timst**, just run the following:
        ```bash
        timst -i [IMAGE_TO_BE_STYLED] -s [STYLE_TO_BE_APPLIED] [-n NUMBER_OF_ITERATIONS]
        ```
        
        #### For bugs and feature request
        ---------------------------------
        
        Open an [issue](https://github.com/Radonirinaunimi/Style-Transfer/issues/new/choose) or a [pull request](https://github.com/Radonirinaunimi/Style-Transfer/compare).
        
Platform: UNKNOWN
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Provides-Extra: docs
Provides-Extra: tests
