parameters: (
      url,
      format="auto",
      with_path=True,
      recursive=True,
      ignore_failure=True,
      random_order=False,
  )
return_statement: return _extensions.load_images(
          url, format, with_path, recursive, ignore_failure, random_order
      )
docstring: Loads images from a directory. JPEG and PNG images are supported.
  
      Parameters
      ----------
      url : str
          The string of the path where all the images are stored.
  
      format : {'PNG' | 'JPG' | 'auto'}, optional
          The format of the images in the directory. The default 'auto' parameter
          value tries to infer the image type from the file extension. If a
          format is specified, all images must be of that format.
  
      with_path : bool, optional
          Indicates whether a path column is added to the SFrame. If 'with_path'
          is set to True,  the returned SFrame contains a 'path' column, which
          holds a path string for each Image object.
  
      recursive : bool, optional
          Indicates whether 'load_images' should do recursive directory traversal,
          or a flat directory traversal.
  
      ignore_failure : bool, optional
          If true, prints warning for failed images and keep loading the rest of
          the images.
  
      random_order : bool, optional
          Load images in random order.
  
      Returns
      -------
      out : SFrame
          Returns an SFrame with either an 'image' column or both an 'image' and
          a 'path' column. The 'image' column is a column of Image objects. If
          with_path is True, there is also a 'path' column which contains the image
          path for each of each corresponding Image object.
  
      Examples
      --------
  
      >>> url ='https://static.turi.com/datasets/images/nested'
      >>> image_sframe = turicreate.image_analysis.load_images(url, "auto", with_path=False,
      ...                                                       recursive=True)
docstring_summary: Loads images from a directory. JPEG and PNG images are supported.
docstring_tokens: Loads images from a directory . JPEG and PNG images are supported .
function: def load_images(
      url,
      format="auto",
      with_path=True,
      recursive=True,
      ignore_failure=True,
      random_order=False,
  ):
      """
      Loads images from a directory. JPEG and PNG images are supported.
  
      Parameters
      ----------
      url : str
          The string of the path where all the images are stored.
  
      format : {'PNG' | 'JPG' | 'auto'}, optional
          The format of the images in the directory. The default 'auto' parameter
          value tries to infer the image type from the file extension. If a
          format is specified, all images must be of that format.
  
      with_path : bool, optional
          Indicates whether a path column is added to the SFrame. If 'with_path'
          is set to True,  the returned SFrame contains a 'path' column, which
          holds a path string for each Image object.
  
      recursive : bool, optional
          Indicates whether 'load_images' should do recursive directory traversal,
          or a flat directory traversal.
  
      ignore_failure : bool, optional
          If true, prints warning for failed images and keep loading the rest of
          the images.
  
      random_order : bool, optional
          Load images in random order.
  
      Returns
      -------
      out : SFrame
          Returns an SFrame with either an 'image' column or both an 'image' and
          a 'path' column. The 'image' column is a column of Image objects. If
          with_path is True, there is also a 'path' column which contains the image
          path for each of each corresponding Image object.
  
      Examples
      --------
  
      >>> url ='https://static.turi.com/datasets/images/nested'
      >>> image_sframe = turicreate.image_analysis.load_images(url, "auto", with_path=False,
      ...                                                       recursive=True)
      """
      from ... import extensions as _extensions
      from ...util import _make_internal_url
  
      url = _make_internal_url(url)
      return _extensions.load_images(
          url, format, with_path, recursive, ignore_failure, random_order
      )
function_tokens: def load_images ( url , format = "auto" , with_path = True , recursive = True , ignore_failure = True , random_order = False , ) : from . . . import extensions as _extensions from . . . util import _make_internal_url url = _make_internal_url ( url ) return _extensions . load_images ( url , format , with_path , recursive , ignore_failure , random_order )