message: training: decreased the amount of black training tiles
diff: @@ -293,7 +293,8 @@ class TrainingDataset(PreprocessedDataset):
  target_image = np.pad(target_image, pad_size, mode='constant')
  # Randomly zero the color channels
  - if np.random.rand() < 0.05:
  + # This prevents "ghosting" artifacts when the color buffer is entirely black
  + if np.random.rand() < 0.01:
  input_image[:, :, 0:3] = 0
  target_image[:] = 0
  