(image_file, image_size=None)
return tf.expand_dims(image, 0)
Loads an image and center-crops it to a specific size.

  Args:
    image_file: str. Image file.
    image_size: int, optional. Desired size. If provided, crops the image to
        a square and resizes it to the requested size. Defaults to None.

  Returns:
    A 4-D tensor of shape [1, image_size, image_size, 3] and dtype float32,
    with values in [0, 1].
Loads an image and center-crops it to a specific size.
Loads an image and center - crops it to a specific size .
def load_image(image_file, image_size=None):
  """Loads an image and center-crops it to a specific size.

  Args:
    image_file: str. Image file.
    image_size: int, optional. Desired size. If provided, crops the image to
        a square and resizes it to the requested size. Defaults to None.

  Returns:
    A 4-D tensor of shape [1, image_size, image_size, 3] and dtype float32,
    with values in [0, 1].
  """
  image = tf.constant(np.uint8(load_np_image(image_file) * 255.0))
  if image_size is not None:
    # Center-crop into a square and resize to image_size
    small_side = int(min(image.shape[0], image.shape[1]))
    image = tf.image.resize_image_with_crop_or_pad(
        image, small_side, small_side)
    image = tf.image.resize_images(image, [image_size, image_size])
  image = tf.to_float(image) / 255.0

  return tf.expand_dims(image, 0)
def load_image ( image_file , image_size = None ) : image = tf . constant ( np . uint8 ( load_np_image ( image_file ) * 255.0 ) ) if image_size is not None : # Center-crop into a square and resize to image_size small_side = int ( min ( image . shape [ 0 ] , image . shape [ 1 ] ) ) image = tf . image . resize_image_with_crop_or_pad ( image , small_side , small_side ) image = tf . image . resize_images ( image , [ image_size , image_size ] ) image = tf . to_float ( image ) / 255.0 return tf . expand_dims ( image , 0 )