code: def _load_npy(self, filename):
          
          self._channel_data = []
          self._original_channel_data = []
          file_channel_data = np.load(filename)
          file_channel_data = file_channel_data / file_channel_data.max()
  
          for i in range(file_channel_data.shape[2]):
              self._channel_data.append(file_channel_data[:, :, i])
              self._original_channel_data.append(file_channel_data[:, :, i])
  
          self._image = file_channel_data.sum(2) / file_channel_data.shape[2]
docs: Load image using Numpy.