Remove padding value and padding token parameters from training configuration

Closes #96 (closed)

dan/utils.py

@@ -34,7 +34,7 @@ def pad_images(data, padding_mode="br"):
     y_lengths = [x.shape[1] for x in data]
     longest_x = max(x_lengths)
     longest_y = max(y_lengths)
-    padded_data = np.ones((len(data), longest_x, longest_y, data[0].shape[2])) * 0
+    padded_data = np.zeros((len(data), longest_x, longest_y, data[0].shape[2]))
     for i, xy_len in enumerate(zip(x_lengths, y_lengths)):
         x_len, y_len = xy_len
         if padding_mode == "br":
@@ -87,7 +87,7 @@ def pad_image(
     )
 
     if not (pad_width == 0 and pad_height == 0):
-        padded_image = np.ones((h + pad_height, w + pad_width, c)) * 0
+        padded_image = np.zeros((h + pad_height, w + pad_width, c))
         if padding_mode == "br":
             hi, wi = 0, 0
         elif padding_mode == "tl":