How-to-Generate-Art-Demo

This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube

Overview

This is the code for this video on Youtube by Siraj Raval as part of the Intro to Deep Learning Nanodegree with Udacity. We're going to re-purpose the pre-trained VGG16 convolutional network that won the ImageNet competition in 2014 for image classification to transfer the style of a given image to another. This is the original paper on the topic.

Dependencies

run pip install -r requirements.txt to install the necessary dependencies

Usage

If it doesn't exist, create a file called ~/.keras/keras.json and make sure it looks like the following:

{
    "image_dim_ordering": "tf",
    "epsilon": 1e-07,
    "floatx": "float32",
    "backend": "tensorflow"
}

Then you can run the code via typing jupyter notebook into terminal

Coding Challenge - Due Date is Thursday, March 9th at 12 PM PST

Use 2 different style images and transfer them both onto a base image. This can be done several ways, take your pic! And if you want even more of a challenge, bonus points are given if you instead perform basic style transfer on video. Remember, a video is just a series of image frames. You'll learn a lot about matrix operations by doing this. Good luck!

Credits