Decrease affect of luminance

Author: Tarnasa

convert.py

@@ -37,6 +37,15 @@ def convert(image, alphabet):
             print(xi, yi, x, y)
             scene = score_rect(images, x, y, cw, ch, cw/8, ch/8, 3)
             filename = find_best_char(scene, alphabet)
+
+            if xi == 22 and yi == 20:
+                print('hey', filename, compare_scores(scene, alphabet.scores[filename]))
+                print('space', filename, compare_scores(scene, alphabet.scores['out/32.png']))
+                print('light', scene.norm)
+                print('light', alphabet.scores['out/126.png'].norm)
+            if xi == 33 and yi == 20:
+                print('light', scene.norm)
+
             line.append(chr(int(filename[4:-4])))
         art.append(line)
     return '\n'.join(''.join(line) for line in art)
@@ -67,9 +76,9 @@ def generate_alphabet(pattern, levels=3):
         h, w = image.shape
         blur_factor = min(w/8, h/8)/2
         blur_factor = 0
-        images = generate_blurred_images(image, 0, levels)
+        images = generate_blurred_images(image, blur_factor, levels)
 
-        if filename == '!out/124.png':
+        if filename == '!out/126.png':
             import matplotlib.pyplot as plt
             fig, ax = plt.subplots()
             ax.imshow(images[2], cmap='gray', interpolation='nearest')

multiblur.py

@@ -1,21 +1,23 @@
 import numpy as np
 
-from scipy.ndimage.filters import gaussian_filter
+from scipy.ndimage.filters import gaussian_filter, uniform_filter
 from collections import namedtuple
 
 BlurScene = namedtuple('BlurScene', ('features', 'norm'))
 
 
 def calculate_normalizer(scores):
-    v = np.sum(scores) / sum(scores.shape)
+    v = (np.sum(scores) / sum(scores.shape))**0.3
     if v < 0:
         print('NO!', v, scores)
     return v
 
 def generate_blurred_images(image, blur_factor, levels):
     images = []
     for blur_level in range(levels):
-        images.append(gaussian_filter(image, blur_factor*blur_level, mode='reflect', cval=0))
+        #images.append(gaussian_filter(image, blur_factor*blur_level, mode='reflect', cval=0))
+        blurred = uniform_filter(image, blur_factor*blur_level, mode='reflect')
+        images.append(blurred / (blur_factor+1))
     # TODO 'constant', or 'reflect'
     return images
 
@@ -42,7 +44,7 @@ def draw_blur_levels():
     ax = axes.ravel()
 
     for blur_level in range(6):
-        blurred = gaussian_filter(image, 6.0*blur_level, mode='nearest', cval=0)
+        blurred = uniform_filter(image, 3.0*blur_level, mode='reflect', cval=0)
 
         ax[blur_level].imshow(blurred, cmap='gray', interpolation='nearest')
         ax[blur_level].set_title(str(blur_level), fontsize=20)