docs: def _check_image(self, X):
          """
          Checks the image size and its compatibility with classifier's receptive field.
  
          At this moment it is required that image size = K * receptive_field. This will
          be relaxed in future with the introduction of padding.
          """
  
          if (len(X.shape) < 3) or (len(X.shape) > 4):
              raise ValueError('Input has to have shape [n_samples, n_pixels_y, n_pixels_x] '
                               'or [n_samples, n_pixels_y, n_pixels_x, n_bands].')
  
          self._samples = X.shape[0]
          self._image_size = X.shape[1:3]
  
          if (self._image_size[0] % self.receptive_field[0]) or (self._image_size[0] % self.receptive_field[0]):
              raise ValueError('Image (%d,%d) and receptive fields (%d,%d) mismatch.\n'
                               'Resize your image to be divisible with receptive field.'
                               % (self._image_size[0], self._image_size[0], self.receptive_field[0],
                                  self.receptive_field[1]))