https://github.com/rakibhhridoy/neuralstyletransfer-tensorflow

One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.
https://github.com/rakibhhridoy/neuralstyletransfer-tensorflow

deep-learning deep-neural-networks machine-learning neural-style-transfer neuralstyletransfer nst python tensorflow

Last synced: 13 days ago
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One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.

• Host: GitHub
• URL: https://github.com/rakibhhridoy/neuralstyletransfer-tensorflow
• Owner: rakibhhridoy
• Created: 2020-07-31T14:17:15.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-14T12:33:00.000Z (over 4 years ago)
• Last Synced: 2024-11-06T15:27:05.947Z (2 months ago)
• Topics: deep-learning, deep-neural-networks, machine-learning, neural-style-transfer, neuralstyletransfer, nst, python, tensorflow
• Language: Jupyter Notebook
• Homepage: https://rakibhhridoy.github.io
• Size: 17.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# *Neural Style Transfer Learning In Tensorflow*

![nst](Images/nst.jpg)




*The image showed is not actual outcome. It was personal project thus actual image can't be showed here.*

##### *The Art Of Deep Learning* 

### *The Image size can be easily kept as it was by using ```opencv``` python library.* 

> open notebook, before training the model resize you image as you want. Add a cell in notebook and resize image using following code: 

```python

import cv2

import os

height = None       #change as you need

width = None        #change as you need

url = ('style image url')

image = cv2.resize(url, height = height, width = width)

## Now use it..

```

### Environment 

Make sure you have all necessery python library installed. For this projects you need 

* Numpy

* TensorFlow

* Keras

  

if you don't have these libraries go to python or anaconda prompt and paste these:

```bash

pip install numpy

pip install tensorflow

pip install keras

```

### Get touch with Me

Connect- [Linkedin](https://linkedin.com/in/rakibhhridoy) 


Website- [RakibHHridoy](https://rakibhhridoy.github.io)