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Keras-Style-Transfer

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An implementation of "A Neural Algorithm of Artistic Style" in Keras

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# Keras-Style-Transfer (KeSTra)
An implementation of "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras

The code present in this repository is presented in this [blog](https://medium.com/@singhal.amogh1995/utilising-cnns-to-transform-your-model-into-a-budding-artist-1330dc392e25).

The code is written in Keras 2.2.2

# Preview
This is a 5-sec gif of **Chicago city** painted in the style of **Rain Princess**
<p align="center">
  <img src="https://media.giphy.com/media/i4ElhKepMTcIZiqcma/giphy.gif" width="480" height="270"/>
</p>

### Content Image and Style Image
| Content Image  | Style Image  |
|---|---|
| <img align="left" src="https://reiinakano.github.io/arbitrary-image-stylization-tfjs/images/chicago.jpg" width="500" height="270" />  |   <img align="right" src="https://afremov.com/images/product/RAIN-PRINCESS.jpg" width="320" height="270" /> |

## Installation notes
KeSTra is built using Python 3.5.  The easiest way to set up a compatible
environment is to use [Conda](https://conda.io/).  This will set up a virtual
environment with the exact version of Python used for development along with all the
dependencies needed to run KeSTra.

1.  [Download and install Conda](https://conda.io/docs/download.html).
2.  Create a Conda environment with Python 3.

(**Note**: enter ```cd ~``` to go on **$HOME** , then perform these commands)

```
    conda create --name *your env name* python=3.5
    ```
   
   You will get the following, kestra-test is the env name used in this example
   
   ```
   Solving environment: done
   
## Package Plan ##

environment location: /home/user/anaconda3/envs/kestra-test

added / updated specs: 
    - python=3.5

The following NEW packages will be INSTALLED:

ca-certificates: 2018.12.5-0            
    certifi:         2018.8.24-py35_1       
    libedit:         3.1.20181209-hc058e9b_0
    libffi:          3.2.1-hd88cf55_4       
    libgcc-ng:       8.2.0-hdf63c60_1       
    libstdcxx-ng:    8.2.0-hdf63c60_1       
    ncurses:         6.1-he6710b0_1         
    openssl:         1.0.2p-h14c3975_0      
    pip:             10.0.1-py35_0          
    python:          3.5.6-hc3d631a_0       
    readline:        7.0-h7b6447c_5         
    setuptools:      40.2.0-py35_0          
    sqlite:          3.26.0-h7b6447c_0      
    tk:              8.6.8-hbc83047_0       
    wheel:           0.31.1-py35_0          
    xz:              5.2.4-h14c3975_4       
    zlib:            1.2.11-h7b6447c_3

Proceed ([y]/n)?  *Press y*

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use:
# > source activate kestra-test
#
# To deactivate an active environment, use:
# > source deactivate
#

```
   The environment is successfully created.

3.  Now activate the Conda environment.

```
    source activate *your env name*
    ```
    You will get the following
    
    ```
    (kestra-test) amogh@hp15X34:~$ 
    ```
    Enter `conda list` to get the list of available packages
    
    ```
        (kestra-test) amogh@hp15X34:~$ conda list
    # packages in environment at /home/amogh/anaconda3/envs/mlwp-test:
    #
    # Name                    Version                   Build  Channel
    ca-certificates           2018.12.5                     0  
    certifi                   2018.8.24                py35_1  
    libedit                   3.1.20181209         hc058e9b_0  
    libffi                    3.2.1                hd88cf55_4  
    libgcc-ng                 8.2.0                hdf63c60_1  
    libstdcxx-ng              8.2.0                hdf63c60_1  
    ncurses                   6.1                  he6710b0_1  
    openssl                   1.0.2p               h14c3975_0  
    pip                       10.0.1                   py35_0  
    python                    3.5.6                hc3d631a_0  
    readline                  7.0                  h7b6447c_5  
    setuptools                40.2.0                   py35_0  
    sqlite                    3.26.0               h7b6447c_0  
    tk                        8.6.8                hbc83047_0  
    wheel                     0.31.1                   py35_0  
    xz                        5.2.4                h14c3975_4  
    zlib                      1.2.11               h7b6447c_3 
    ```

4.  Install the required dependencies.

```
    (kestra-test) amogh@hp15X34:~$ conda install --yes --file *path to requirements.txt*
    ```
    
5. In case you are not able to install the packages or getting `PackagesNotFoundError`
Use the following command ` conda install -c conda-forge *list of packages separated by space*`.

## How good is the code ?
* It is well tested
* It passes style checks (PEP8 compliant)
* It can compile in its current state (and there are relatively no issues)

## How much support is available?
* FAQs (coming soon)
* Documentation (coming soon)

## Issues
Feel free to submit issues and enhancement requests.

## Contributing
Please refer to each project's style guidelines and guidelines for submitting patches and additions. In general, we follow the "fork-and-pull" Git workflow.

1. **Fork** the repo on GitHub
 2. **Clone** the project to your own machine
 3. **Commit** changes to your own branch
 4. **Push** your work back up to your fork
 5. Submit a **Pull request** so that we can review your changes

NOTE: Be sure to merge the latest from "upstream" before making a pull request!

Keras-Style-Transfer

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