code: def loadNumpyImages(self, path, key=None):
      
      data = np.load(path)
  
      if isinstance(data, dict):
        if key is None:
          raise ValueError("Images are stored as a dict, a key must be provided!")
        try:
          data = data[key]
        except KeyError:
          raise KeyError("Wrong key for provided data.")
  
      if not isinstance(data, np.ndarray):
        raise TypeError("Data must be stored as a dict or numpy array.")
  
      self._initializeDimensions(data)
  
      return data
docs: Loads images using numpy.
  
      :param path:      (string)   Path to data file
      :param key:       (string)   Object key in data file if it's a dict
  
      Also stores image dimensions to later the original images. If there are
      multiple channels, self.numChannels will store the number of channels,
      otherwise it will be set to None.