# HG changeset patch
# User Xavier Glorot <glorotxa@iro.umontreal.ca>
# Date 1266441944 18000
# Node ID 0d083964af4b4f765b26862dcdbe0bc47d1429ac
# Parent  c9d680d9a90849bce3c2d387e84bac454172e051
small change to testtransformation to match with the pipeline behavior

diff -r c9d680d9a908 -r 0d083964af4b transformations/testtransformations.py
--- a/transformations/testtransformations.py	Wed Feb 17 16:23:54 2010 -0500
+++ b/transformations/testtransformations.py	Wed Feb 17 16:25:44 2010 -0500
@@ -31,17 +31,18 @@
 MODULE_INSTANCES = [Slant(),Thick(),AffineTransformation(),LocalElasticDistorter(),GIMP1(),Rature(),Occlusion(), PermutPixel(),DistorsionGauss(),AddBackground(), PoivreSel(), BruitGauss(), Contrast()]
 
 ###---------------------complexity associated to each of them
-complexity = [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
+complexity = 0.6
 #complexity = [0.5]*len(MODULE_INSTANCES)
 #complexity = [0.,0.,0.,0.,0.,0.,0.,0.,0.,0.,0.]
+n=100
 
 def createimage(path,d):
-    for i in range(100):
+    for i in range(n):
         screen.fill(0)
         a=d[i,:]
         off1=4*32
         off2=0
-        for u in range(100):
+        for u in range(n):
             b=N.asarray(N.reshape(a,(32,32)))
             c=N.asarray([N.reshape(a*255.0,(32,32))]*3).T
             new=pygame.surfarray.make_surface(c)
@@ -54,12 +55,15 @@
             offset = 4*32
             offset2 = 0
             ct = 0
+            ctmp =  N.random.rand()*complexity
+            print u
             for j in MODULE_INSTANCES:
                 #max dilation
-                ctmp = N.random.rand()*complexity[ct] 
-                #random
-                print j.get_settings_names(), j.regenerate_parameters(ctmp)
-            
+                #ctmp = N.random.rand()*complexity[ct]
+                ctmp = N.random.rand()*complexity 
+                #print j.get_settings_names(), j.regenerate_parameters(ctmp)
+                j.regenerate_parameters(ctmp)
+                
                 b=j.transform_image(b)
                 c=N.asarray([b*255]*3).T
                 new=pygame.surfarray.make_surface(c)
@@ -95,7 +99,7 @@
 
 #pygame.display.init()
 screen = pygame.Surface((4*(nbmodule+1)/2*32,2*(4*32+20)),depth=32)
-exemple = pygame.Surface((10*4*32,10*4*32),depth=32)
+exemple = pygame.Surface((N.ceil(N.sqrt(n))*4*32,N.ceil(N.sqrt(n))*4*32),depth=32)
 
 anglcolorpalette=[(x,x,x) for x in xrange(0,256)]
 #pygame.Surface.set_palette(anglcolorpalette)
@@ -103,19 +107,26 @@
 
 pygame.font.init()
 
-d = N.zeros((100,1024))
+d = N.zeros((n,1024))
+
+
+datapath = '/data/lisa/data/nist/by_class/'
+f = open(datapath+'digits_reshuffled/digits_reshuffled_train_data.ft')
+d = ft.read(f)
+d = d[0:n,:]/255.0
+createimage('/u/glorotxa/transf/NIST_digits',d)
 
 from Facade import *
 
-for i in range(100):
-    d[i,:]=N.asarray(N.reshape(generateCaptcha(0,0),(1,1024))/255.0,dtype='float32')
+for i in range(n):
+    d[i,:]=N.asarray(N.reshape(generateCaptcha(0.5,0),(1,1024))/255.0,dtype='float32')
 
 createimage('/u/glorotxa/transf/capcha',d)
 
 
-for i in range(100):
+for i in range(n):
     myttf2jpg = ttf2jpg()
-    d[i,:]=N.reshape(myttf2jpg.generate_image(),(1,1024))
+    d[i,:]=N.reshape(myttf2jpg.generate_image()[0],(1,1024))
 createimage('/u/glorotxa/transf/fonts',d)
 
 
@@ -123,25 +134,18 @@
 datapath = '/data/lisa/data/nist/by_class/'
 f = open(datapath+'lower/lower_train_data.ft')
 d = ft.read(f)
-d = d[0:100,:]/255.0
+d = d[0:n,:]/255.0
 createimage('/u/glorotxa/transf/NIST_lower',d)
 
 datapath = '/data/lisa/data/nist/by_class/'
 f = open(datapath+'upper/upper_train_data.ft')
 d = ft.read(f)
-d = d[0:100,:]/255.0
+d = d[0:n,:]/255.0
 createimage('/u/glorotxa/transf/NIST_upper',d)
-
-datapath = '/data/lisa/data/nist/by_class/'
-f = open(datapath+'digits_reshuffled/digits_reshuffled_train_data.ft')
-d = ft.read(f)
-d = d[0:100,:]/255.0
-createimage('/u/glorotxa/transf/NIST_digits',d)
-
-datapath = '/data/lisa/data/ocr_breuel/filetensor/unlv-corrected-2010-02-01-shuffled.ft/'
+datapath = '/data/lisa/data/ocr_breuel/filetensor/unlv-corrected-2010-02-01-shuffled.ft'
 f = open(datapath)
 d = ft.read(f)
-d = d[0:100,:]/255.0
+d = d[0:n,:]/255.0
 createimage('/u/glorotxa/transf/OCR',d)