image_data_generator: Generate batches of image data with real-time data...
In dfalbel/keras: R Interface to 'Keras'

Generate batches of image data with real-time data augmentation. The data will be looped over (in batches).

image_data_generator(
  featurewise_center = FALSE,
  samplewise_center = FALSE,
  featurewise_std_normalization = FALSE,
  samplewise_std_normalization = FALSE,
  zca_whitening = FALSE,
  zca_epsilon = 1e-06,
  rotation_range = 0,
  width_shift_range = 0,
  height_shift_range = 0,
  brightness_range = NULL,
  shear_range = 0,
  zoom_range = 0,
  channel_shift_range = 0,
  fill_mode = "nearest",
  cval = 0,
  horizontal_flip = FALSE,
  vertical_flip = FALSE,
  rescale = NULL,
  preprocessing_function = NULL,
  data_format = NULL,
  validation_split = 0
)

`featurewise_center`	Set input mean to 0 over the dataset, feature-wise.
`samplewise_center`	Boolean. Set each sample mean to 0.
`featurewise_std_normalization`	Divide inputs by std of the dataset, feature-wise.
`samplewise_std_normalization`	Divide each input by its std.
`zca_whitening`	apply ZCA whitening.
`zca_epsilon`	Epsilon for ZCA whitening. Default is 1e-6.
`rotation_range`	degrees (0 to 180).
`width_shift_range`	fraction of total width.
`height_shift_range`	fraction of total height.
`brightness_range`	the range of brightness to apply
`shear_range`	shear intensity (shear angle in radians).
`zoom_range`	amount of zoom. if scalar z, zoom will be randomly picked in the range `[1-z, 1+z]`. A sequence of two can be passed instead to select this range.
`channel_shift_range`	shift range for each channels.
`fill_mode`	One of "constant", "nearest", "reflect" or "wrap". Points outside the boundaries of the input are filled according to the given mode: "constant": `kkkkkkkk\|abcd\|kkkkkkkk` (`cval=k`) "nearest": `aaaaaaaa\|abcd\|dddddddd` "reflect": `abcddcba\|abcd\|dcbaabcd` "wrap": `abcdabcd\|abcd\|abcdabcd`
`cval`	value used for points outside the boundaries when fill_mode is 'constant'. Default is 0.
`horizontal_flip`	whether to randomly flip images horizontally.
`vertical_flip`	whether to randomly flip images vertically.
`rescale`	rescaling factor. If NULL or 0, no rescaling is applied, otherwise we multiply the data by the value provided (before applying any other transformation).
`preprocessing_function`	function that will be implied on each input. The function will run before any other modification on it. The function should take one argument: one image (tensor with rank 3), and should output a tensor with the same shape.
`data_format`	'channels_first' or 'channels_last'. In 'channels_first' mode, the channels dimension (the depth) is at index 1, in 'channels_last' mode it is at index 3. It defaults to the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be "channels_last".
`validation_split`	fraction of images reserved for validation (strictly between 0 and 1).