docs: def convert_image(File, verbose=False):
      """
      Converts a IMAGE data type stored in the database into a data cube
  
      Parameters
      ----------
      File: str
          The URL or filepath of the file to be converted into arrays.
      verbose: bool
          Whether or not to display some diagnostic information (Default: False)
  
      Returns
      -------
      sequence
          The converted image
  
      """
      image, header = '', ''
      if isinstance(File, type(b'')):  # Decode if needed (ie, for Python 3)
          File = File.decode('utf-8')
          
      if isinstance(File, (str, type(u''))):
          
          # Convert variable path to absolute path
          if File.startswith('$'):
              abspath = os.popen('echo {}'.format(File.split('/')[0])).read()[:-1]
              if abspath:
                  File = File.replace(File.split('/')[0], abspath)
                  
          if File.startswith('http'):
              if verbose:
                  print('Downloading {}'.format(File))
              
              # Download only once
              downloaded_file = download_file(File, cache=True)
          else:
              downloaded_file = File
              
          try: 
              # Get the data
              image, header = pf.getdata(downloaded_file, cache=True, header=True)
              
              # If no data, then clear out all retrieved info for object
              if not isinstance(image, np.ndarray):
                  image = None
                  
              if verbose:
                  print('Read as FITS...')
              
          except (IOError, KeyError):
              # Check if the FITS file is just Numpy arrays
              try:
                  image, header = pf.getdata(downloaded_file, cache=True, header=True)
                  if verbose:
                      print('Read as FITS Numpy array...')
                      
              except (IOError, KeyError):
                  try:  # Try ascii
                      image = ii.read(downloaded_file)
                      image = np.array([np.asarray(image.columns[n]) for n in range(len(image.columns))])
                      if verbose:
                          print('Read as ascii...')
                          
                      txt, header = open(downloaded_file), []
                      for i in txt:
                          if any([i.startswith(char) for char in ['#', '|', '\\']]):
                              header.append(i.replace('\n', ''))
                      txt.close()
                      
                  except:
                      pass
                      
      if image == '':
          print('Could not retrieve image at {}.'.format(File))
          return File
          
      else:
          image = Image(image, header, File)
          return image