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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.

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Neural Style Transfer Learning In Tensorflow

nst
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:

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:

pip install numpy
pip install tensorflow
pip install keras

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Website- RakibHHridoy

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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.

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