- 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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import requests | |
import json | |
urlbase = 'http://maps.googleapis.com/maps/api/geocode/json?sensor=false&address=' | |
urlend = 'Zurich,Switzerland' | |
r = requests.get(urlbase+urlend) # request to google maps api | |
r=r.json() | |
if r.get('results'): |
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import requests | |
import csv | |
import datetime | |
import calendar | |
import time | |
i=0 | |
# Change the range depending on how long you like to record the data | |
for i in range (0,50): | |
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//Moebius transformations in 3d, by reverse stereographic projection to the 3-sphere, | |
//rotation in 4d space, and projection back. | |
//by Daniel Piker 09/08/20 | |
//Feel free to use, adapt and reshare. I'd appreciate a mention if you post something using this. | |
//You can also now find this transformation as a component in Grasshopper/Rhino | |
//I first wrote about these transformations here: | |
//https://spacesymmetrystructure.wordpress.com/2008/12/11/4-dimensional-rotations/ | |
//If you want to transform about a given circle. Points on the circle and its axis stay on those curves. | |
//You can skip these 2 lines if you want to always use the origin centred unit circle. |