| from numpy.random import rand | |
| from numpy import r_, ix_, uint8, roll | |
| import matplotlib.pyplot as plt | |
| import time | |
| size = 200 | |
| GRID = (rand(size,size) > 0.75).astype(uint8) | |
| # Rotate indices because the world is round | |
| indx = r_[0:size] | |
| up = roll(indx, -1) |
| #! /usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| # https://gist.github.com/292018 - augmented to plot row/column labels | |
| """ | |
| Draws Hinton diagrams using matplotlib ( http://matplotlib.sf.net/ ). | |
| Hinton diagrams are a handy way of visualizing weight matrices, using | |
| colour to denote sign and area to denote magnitude. | |
| By David Warde-Farley -- user AT cs dot toronto dot edu (user = dwf) | |
| with thanks to Geoffrey Hinton for providing the MATLAB code off of |
| # Version from SciPy.signal | |
| def correlate(in1, in2, mode='full'): | |
| """Cross-correlate two N-dimensional arrays. | |
| Description: | |
| Cross-correlate in1 and in2 with the output size determined by mode. | |
| Inputs: |
| from __future__ import division | |
| from scikits.audiolab import flacread | |
| from numpy.fft import rfft, irfft | |
| from numpy import argmax, sqrt, mean, diff, log | |
| from matplotlib.mlab import find | |
| from scipy.signal import blackmanharris, fftconvolve | |
| from time import time | |
| import sys | |
| # Faster version from http://projects.scipy.org/scipy/browser/trunk/scipy/signal/signaltools.py |