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annotate data_generation/transformations/gimp_script.py @ 167:1f5937e9e530

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More moves - transformations into data_generation, added "deep" folder
author Dumitru Erhan <dumitru.erhan@gmail.com>
date Fri, 26 Feb 2010 14:15:38 -0500
parents transformations/gimp_script.py@7f5133e1fd23
children 39421555993f
rev   line source
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1 #!/usr/bin/env python
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2 # coding: utf-8
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4 '''
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5 Filtres GIMP sous Python
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6 Auteur: Nicolas Boulanger-Lewandowski
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7 Date: Hiver 2010
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9 run with: gimp -i --batch-interpreter python-fu-eval --batch - < gimp_script.py
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10 end with: pdb.gimp_quit(0)
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12 Implémente le motionblur et le pinch
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13 '''
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15 from gimpfu import *
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16 import numpy
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18 img = gimp.Image(32, 32, GRAY)
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19 img.disable_undo()
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20 layer1 = gimp.Layer(img, "layer1", 32, 32, GRAY_IMAGE, 100, NORMAL_MODE)
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21 img.add_layer(layer1, 0)
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22 dest_rgn = layer1.get_pixel_rgn(0, 0, 32, 32, True)
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23
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24 def setpix(image):
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25 dest_rgn[:,:] = (image.T*255).astype(numpy.uint8).tostring()
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26 layer1.flush()
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27 layer1.update(0, 0, 32, 32)
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29 def getpix():
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30 return numpy.fromstring(dest_rgn[:,:], 'UInt8').astype(numpy.float32).reshape((32,32)).T / 255.0
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32 class GIMP1():
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33 def get_settings_names(self):
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34 return ['mblur_length', 'mblur_angle', 'pinch']
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36 def regenerate_parameters(self, complexity):
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37 if complexity:
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38 self.mblur_length = abs(int(round(numpy.random.normal(0, 3*complexity))))
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39 else:
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40 self.mblur_length = 0
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41 self.mblur_angle = int(round(numpy.random.uniform(0,360)))
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42 self.pinch = numpy.random.uniform(-complexity, 0.7*complexity)
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44 return [self.mblur_length, self.mblur_angle, self.pinch]
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46 def transform_image(self, image):
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47 if self.mblur_length or self.pinch:
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48 setpix(image)
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49 if self.mblur_length:
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50 pdb.plug_in_mblur(img, layer1, 0, self.mblur_length, self.mblur_angle, 0, 0)
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51 if self.pinch:
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52 pdb.plug_in_whirl_pinch(img, layer1, 0.0, self.pinch, 1.0)
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53 image = getpix()
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55 return image
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57 # test
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58 if __name__ == '__main__':
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59 import Image
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60 im = numpy.asarray(Image.open("a.bmp").convert("L")) / 255.0
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62 test = GIMP1()
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63 print test.get_settings_names(), '=', test.regenerate_parameters(1)
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64 #for i in range(1000):
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65 im = test.transform_image(im)
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67 import pylab
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68 pylab.imshow(im, pylab.matplotlib.cm.Greys_r)
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69 pylab.show()
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71 pdb.gimp_quit(0)