Mercurial > pylearn

annotate image_tools.py @ 495:7560817a07e8

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nnet_ops => nnet
author Joseph Turian <turian@gmail.com>
date Tue, 28 Oct 2008 12:09:39 -0400
parents d7ed780364b3
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rev   line source
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1
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2 import numpy
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5 def make_weights_image(mat, xres, yres, i, j, nrow, ncol):
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6 """
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7 Displays the filters implemented by a weight matrix.
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8
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9 Each filter corresponds to a row of mat and will be represented
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10 by a xres*yres image.
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12 Units from i to j will be included in the picture.
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13
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14 The picture will have nrow rows of filters and ncol columns
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15 of filters. Unused spots for filters will be filled with zeros.
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17 The return value is a matrix suitable for display with
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18 matplotlib's imshow.
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19 """
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20
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21 assert j > i
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22 n = j - i
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23 result = numpy.zeros((ncol * xres, nrow * yres))
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24 submat = mat[i:j]
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25 for k, row in enumerate(submat):
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26 x = (k % ncol)*xres
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27 y = (k / ncol)*yres
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28 entry = row.reshape((xres, yres))
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29 lmin, lmax = numpy.min(entry), numpy.max(entry)
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30 ldiff = lmax - lmin
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31 #entry = (entry - lmin) / ldiff
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32 result[x:x + xres, y:y + yres] = entry
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33 return result.T
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