- Texture Synthesis Using Convolutional Neural Networks
- A Neural Algorithm of Artistic Style
- Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
- Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Texture Synthesis
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# First, you should install flickrapi | |
# pip install flickrapi | |
import flickrapi | |
import urllib | |
from PIL import Image | |
# Flickr api access key | |
flickr=flickrapi.FlickrAPI('c6a2c45591d4973ff525042472446ca2', '202ffe6f387ce29b', cache=True) |
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from bs4 import BeautifulSoup | |
import requests | |
import re | |
import urllib2 | |
import os | |
import argparse | |
import sys | |
import json | |
# adapted from http://stackoverflow.com/questions/20716842/python-download-images-from-google-image-search |
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# Alec Radford, Indico, Kyle Kastner | |
# License: MIT | |
""" | |
Convolutional VAE in a single file. | |
Bringing in code from IndicoDataSolutions and Alec Radford (NewMu) | |
Additionally converted to use default conv2d interface instead of explicit cuDNN | |
""" | |
import theano | |
import theano.tensor as T | |
from theano.compat.python2x import OrderedDict |