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

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
comparison
equal deleted inserted replaced
166:17ae5a1a4dd1 167:1f5937e9e530
1 #!/usr/bin/env python
2 # coding: utf-8
3
4 '''
5 Filtres GIMP sous Python
6 Auteur: Nicolas Boulanger-Lewandowski
7 Date: Hiver 2010
8
9 run with: gimp -i --batch-interpreter python-fu-eval --batch - < gimp_script.py
10 end with: pdb.gimp_quit(0)
11
12 Implémente le motionblur et le pinch
13 '''
14
15 from gimpfu import *
16 import numpy
17
18 img = gimp.Image(32, 32, GRAY)
19 img.disable_undo()
20 layer1 = gimp.Layer(img, "layer1", 32, 32, GRAY_IMAGE, 100, NORMAL_MODE)
21 img.add_layer(layer1, 0)
22 dest_rgn = layer1.get_pixel_rgn(0, 0, 32, 32, True)
23
24 def setpix(image):
25 dest_rgn[:,:] = (image.T*255).astype(numpy.uint8).tostring()
26 layer1.flush()
27 layer1.update(0, 0, 32, 32)
28
29 def getpix():
30 return numpy.fromstring(dest_rgn[:,:], 'UInt8').astype(numpy.float32).reshape((32,32)).T / 255.0
31
32 class GIMP1():
33 def get_settings_names(self):
34 return ['mblur_length', 'mblur_angle', 'pinch']
35
36 def regenerate_parameters(self, complexity):
37 if complexity:
38 self.mblur_length = abs(int(round(numpy.random.normal(0, 3*complexity))))
39 else:
40 self.mblur_length = 0
41 self.mblur_angle = int(round(numpy.random.uniform(0,360)))
42 self.pinch = numpy.random.uniform(-complexity, 0.7*complexity)
43
44 return [self.mblur_length, self.mblur_angle, self.pinch]
45
46 def transform_image(self, image):
47 if self.mblur_length or self.pinch:
48 setpix(image)
49 if self.mblur_length:
50 pdb.plug_in_mblur(img, layer1, 0, self.mblur_length, self.mblur_angle, 0, 0)
51 if self.pinch:
52 pdb.plug_in_whirl_pinch(img, layer1, 0.0, self.pinch, 1.0)
53 image = getpix()
54
55 return image
56
57 # test
58 if __name__ == '__main__':
59 import Image
60 im = numpy.asarray(Image.open("a.bmp").convert("L")) / 255.0
61
62 test = GIMP1()
63 print test.get_settings_names(), '=', test.regenerate_parameters(1)
64 #for i in range(1000):
65 im = test.transform_image(im)
66
67 import pylab
68 pylab.imshow(im, pylab.matplotlib.cm.Greys_r)
69 pylab.show()
70
71 pdb.gimp_quit(0)