# HG changeset patch
# User youssouf
# Date 1265233379 18000
# Node ID 0f13379947168d2e400a050bbaec50431da07b71
# Parent  17caecc9254454bd06ac8e07f40b83590cd0ebe7
modified the test function in slant.py in order to generate multiple transformation sample

diff -r 17caecc92544 -r 0f1337994716 transformations/slant.py
--- a/transformations/slant.py	Tue Feb 02 21:17:11 2010 -0500
+++ b/transformations/slant.py	Wed Feb 03 16:42:59 2010 -0500
@@ -6,8 +6,7 @@
 
 this module add a slant effect to the image. 
 
-To obtain the slant effect, each row of the array is shifted proportionately by a step
-controlled by the complexity.
+To obtain the slant effect, each row of the array is shifted proportionately by a step controlled by the complexity.
 
 '''
 
@@ -74,19 +73,26 @@
             
 
 # Test function
+# Load an image in local and create several samples of the effect on the
+# original image with different parameter. All the samples are saved in a single image, the 1st image being the original.
+
 def test_slant():
-    img_name = "3.png"
-    dest_img_name = "slanted.png"
-    im = Image.open(img_name,)
+    import scipy
+    img_name = "test_img/mnist_0.png"
+    dest_img_name = "test_img/slanted.png"
+    nb_samples = 10
+    im = Image.open(img_name)
     im = im.convert("L")
     image = numpy.asarray(im)
 
+    image_final = image
+    slant = Slant()	
+    for i in range(nb_samples):
+        slant.regenerate_parameters(1)
+        image_slant = slant.transform_image(image)
+        image_final = scipy.hstack((image_final,image_slant))
 
-    slant = Slant()
-    slant.regenerate_parameters(1)
-    image = slant.transform_image(image)
-
-    im = Image.fromarray(image.astype('uint8'), "L")
+    im = Image.fromarray(image_final.astype('uint8'), "L")
     im.save(dest_img_name)
 
 # Test