try different scoring approach and attempt an image construction based on the avg colors of the image

classify.py

@@ -112,6 +112,21 @@ def calc_score(img, mask, avg_color, var_mag):
             score += mag * m / var_mag
     return score
 
+def generate_subimg(img, c_avg, nc_avg):
+    sx, sy, sw = img.shape
+    if sw != c_avg.shape[0]:
+        print('Image depth doesnt match color!')
+    # can be bool actually but float32 because why not
+    res = np.zeros([sx, sy], dtype=np.float32) 
+    for x in range(sx):
+        for y in range(sy):
+            da = img[x, y] - c_avg
+            mag_a = da.dot(da)
+            dn = img[x, y] - nc_avg
+            mag_n = dn.dot(dn)
+            res[x, y] = 1.0 if mag_a < mag_n else 0.0
+    return res
+
 def score_font(char_img, char, font_name):
     '''
     Takes a char_img, the wanted character and a font_name/path
@@ -123,8 +138,11 @@ def score_font(char_img, char, font_name):
     # resize font_img to match char_img dimensions
     dim = [char_img.shape[1], char_img.shape[0]]
     mask = cv.resize(font_img, dim, interpolation=cv.INTER_LINEAR)
+    rv = np.ones(mask.shape, dtype=np.float32) - mask
     # get average color
     ac = get_avg_color(char_img, mask)
-    var = get_color_variance(char_img, mask, ac)
-    var = np.sqrt(var.dot(var))
-    return calc_score(char_img, mask, ac, var)
+    rac = get_avg_color(char_img, rv)
+    diff = ac - rac
+    mag = diff.dot(diff)
+    return mag
+