Mercurial > ift6266

annotate data_generation/transformations/affine_transform.py @ 314:2937f2a421aa

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Print the error sometimes in the pretrain loop.
author Arnaud Bergeron <abergeron@gmail.com>
date Thu, 01 Apr 2010 14:28:50 -0400
parents 1f5937e9e530
children
rev   line source
39
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
1 #!/usr/bin/python
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
2 # coding: utf-8
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
3
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
4 '''
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
5 Simple implementation of random affine transformations based on the Python
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
6 Imaging Module affine transformations.
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
7
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
8
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
9 Author: Razvan Pascanu
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
10 '''
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
11
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
12 import numpy, Image
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
13
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
14
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
15
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
16 class AffineTransformation():
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
17 def __init__( self, complexity = .5):
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
18 self.shape = (32,32)
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
19 self.complexity = complexity
154
ce56e8ca960d Checked all modules to work with only numpy.random and random and to be deterministic after numpy.random.seed() and random.seed()
boulanni <nicolas_boulanger@hotmail.com>
parents: 124
diff changeset
20 params = numpy.random.uniform(size=6) -.5
124
b852dddf43a6 reduced affine transform coefficient
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 120
diff changeset
21 self.a = 1. + params[0]*.6*complexity
b852dddf43a6 reduced affine transform coefficient
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 120
diff changeset
22 self.b = 0. + params[1]*.6*complexity
b852dddf43a6 reduced affine transform coefficient
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 120
diff changeset
23 self.c = params[2]*8.*complexity
b852dddf43a6 reduced affine transform coefficient
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 120
diff changeset
24 self.d = 0. + params[3]*.6*complexity
b852dddf43a6 reduced affine transform coefficient
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 120
diff changeset
25 self.e = 1. + params[4]*.6*complexity
b852dddf43a6 reduced affine transform coefficient
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 120
diff changeset
26 self.f = params[5]*8.*complexity
39
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
27
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
28
56
d9d836d3c625 Change in affine_transform to handle float images
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 51
diff changeset
29 def _get_current_parameters(self):
d9d836d3c625 Change in affine_transform to handle float images
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 51
diff changeset
30 return [self.a, self.b, self.c, self.d, self.e, self.f]
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
31
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
32 def get_settings_names(self):
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
33 return ['a','b','c','d','e','f']
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
34
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
35 def regenerate_parameters(self, complexity):
39
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
36 # generate random affine transformation
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
37 # a point (x',y') of the new image corresponds to (x,y) of the old
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
38 # image where :
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
39 # x' = params[0]*x + params[1]*y + params[2]
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
40 # y' = params[3]*x + params[4]*y _ params[5]
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
41
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
42 # the ranges are set manually as to look acceptable
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
43
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
44 self.complexity = complexity
154
ce56e8ca960d Checked all modules to work with only numpy.random and random and to be deterministic after numpy.random.seed() and random.seed()
boulanni <nicolas_boulanger@hotmail.com>
parents: 124
diff changeset
45 params = numpy.random.uniform(size=6) -.5
120
5e00ed18ae32 changed some transformation paramters to better fit with visualization
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 73
diff changeset
46 self.a = 1. + params[0]*.8*complexity
5e00ed18ae32 changed some transformation paramters to better fit with visualization
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 73
diff changeset
47 self.b = 0. + params[1]*.8*complexity
5e00ed18ae32 changed some transformation paramters to better fit with visualization
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 73
diff changeset
48 self.c = params[2]*9.*complexity
5e00ed18ae32 changed some transformation paramters to better fit with visualization
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 73
diff changeset
49 self.d = 0. + params[3]*.8*complexity
5e00ed18ae32 changed some transformation paramters to better fit with visualization
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 73
diff changeset
50 self.e = 1. + params[4]*.8*complexity
5e00ed18ae32 changed some transformation paramters to better fit with visualization
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 73
diff changeset
51 self.f = params[5]*9.*complexity
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
52 return self._get_current_parameters()
39
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
53
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
54
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
55
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
56
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
57 def transform_image(self,NIST_image):
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
58
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
59 im = Image.fromarray( \
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
60 numpy.asarray(\
56
d9d836d3c625 Change in affine_transform to handle float images
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 51
diff changeset
61 NIST_image.reshape(self.shape)*255.0, dtype='uint8'))
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
62 nwim = im.transform( (32,32), Image.AFFINE, [self.a,self.b,self.c,self.d,self.e,self.f])
73
859ebd7f8754 fixed float32 return on affine_transform
Xavier Glorot <glorotxa@iro.umontreal.ca>
parents: 56
diff changeset
63 return numpy.asarray(numpy.asarray(nwim)/255.0,dtype='float32')
39
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
64
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
65
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
66
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
67 if __name__ =='__main__':
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
68 print 'random test'
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
69
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
70 from pylearn.io import filetensor as ft
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
71 import pylab
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
72
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
73 datapath = '/data/lisa/data/nist/by_class/'
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
74
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
75 f = open(datapath+'digits/digits_train_data.ft')
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
76 d = ft.read(f)
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
77 f.close()
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
78
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
79
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
80 transformer = AffineTransformation()
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
81 id = numpy.random.randint(30)
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
82
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
83 pylab.figure()
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
84 pylab.imshow(d[id].reshape((32,32)))
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
85 pylab.figure()
51
81b9567ec4ae transformation ready for pipeline
Razvan Pascanu <r.pascanu@gmail.com>
parents: 39
diff changeset
86 pylab.imshow(transformer.transform_image(d[id]).reshape((32,32)))
39
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
87
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
88 pylab.show()
17caecc92544 affine transformation using PIL
Razvan Pascanu <r.pascanu@gmail.com>
parents:
diff changeset
89