code: def from_numpy(data, origin=None, spacing=None, direction=None, has_components=False, is_rgb=False):
      
      data = data.astype('float32') if data.dtype.name == 'float64' else data
      img = _from_numpy(data.T.copy(), origin, spacing, direction, has_components, is_rgb)
      return img
docs: Create an ANTsImage object from a numpy array
  
      ANTsR function: `as.antsImage`
  
      Arguments
      ---------
      data : ndarray
          image data array
  
      origin : tuple/list
          image origin
  
      spacing : tuple/list
          image spacing
  
      direction : list/ndarray
          image direction
  
      has_components : boolean
          whether the image has components
  
      Returns
      -------
      ANTsImage
          image with given data and any given information