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styletransferapp's Introduction

StyleTransferApp

This app uses deep learning to compose one image using the style of another image.

This app uses docker to create two microservices, the first is a Tensorflow/Serving container aim to handle a Tensorflow DNN model that makes the style transfer. And, the second microservice is a Flask application that handles the web request and displays the results.


Interface

Some screenshots of the web app:

  • Open your browser in localhost on port 5000 and you will see this page: screen_shot01

  • Select a source and a style image to process. The program will mimic the style image into the source image: screen_shot02

  • See the results and download them if you wish: screen_shot03


Notes

  • The first time you compose up the services, it could take a few minutes since a DNN model is downloaded and a couple of python libraries are installed.
  • The chace for the processed image can be found in ./python/static/temp/. In case you want to re-visid the processed images or erase the files.
  • For info about the DNN model, please visit: https://www.tensorflow.org/tutorials/generative/style_transfer

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