--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/data_generation/transformations/visualizer.py	Fri Feb 26 14:15:38 2010 -0500
@@ -0,0 +1,73 @@
+#!/usr/bin/python
+
+import numpy
+import Image
+from image_tiling import tile_raster_images
+import pylab
+import time
+
+class Visualizer():
+    def __init__(self, num_columns=10, image_size=(32,32), to_dir=None, on_screen=False):
+        self.list = []
+        self.image_size = image_size
+        self.num_columns = num_columns
+
+        self.on_screen = on_screen
+        self.to_dir = to_dir
+
+        self.cur_grid_image = None
+
+        self.cur_index = 0
+
+    def visualize_stop_and_flush(self):
+        self.make_grid_image()
+
+        if self.on_screen:
+            self.visualize()
+        if self.to_dir:
+            self.dump_to_disk()
+
+        self.stop_and_wait()
+        self.flush()
+
+        self.cur_index += 1
+
+    def make_grid_image(self):
+        num_rows = len(self.list) / self.num_columns
+        if len(self.list) % self.num_columns != 0:
+            num_rows += 1
+        grid_shape = (num_rows, self.num_columns)
+        self.cur_grid_image = tile_raster_images(numpy.array(self.list), self.image_size, grid_shape, tile_spacing=(5,5), output_pixel_vals=False)
+
+    def visualize(self):
+        pylab.imshow(self.cur_grid_image)
+        pylab.draw()
+
+    def dump_to_disk(self):
+        gi = Image.fromarray((self.cur_grid_image * 255).astype('uint8'), "L")
+        gi.save(self.to_dir + "/grid_" + str(self.cur_index) + ".png")
+        
+    def stop_and_wait(self):
+        # can't raw_input under gimp, so sleep)
+        print "New image generated, sleeping 5 secs"
+        time.sleep(5)
+
+    def flush(self):
+        self.list = []
+    
+    def get_parameters_names(self):
+        return []
+
+    def regenerate_parameters(self):
+        return []
+
+    def after_transform_callback(self, image):
+        self.transform_image(image)
+
+    def end_transform_callback(self, final_image):
+        self.visualize_stop_and_flush()
+
+    def transform_image(self, image):
+        sz = self.image_size
+        self.list.append(image.copy().reshape((sz[0] * sz[1])))
+