and hue image processing operation sequentially and randomly on the input.
layer_random_color_jitter(
object,
value_range = list(0L, 255L),
brightness_factor = NULL,
contrast_factor = NULL,
saturation_factor = NULL,
hue_factor = NULL,
seed = NULL,
data_format = NULL,
...
)Object to compose the layer with. A tensor, array, or sequential model.
the range of values the incoming images will have.
Represented as a two number tuple written [low, high].
This is typically either [0, 1] or [0, 255] depending
on how your preprocessing pipeline is set up.
Float or a list/tuple of 2 floats between -1.0 and 1.0. The factor is used to determine the lower bound and upper bound of the brightness adjustment. A float value will be chosen randomly between the limits. When -1.0 is chosen, the output image will be black, and when 1.0 is chosen, the image will be fully white. When only one float is provided, eg, 0.2, then -0.2 will be used for lower bound and 0.2 will be used for upper bound.
a positive float represented as fraction of value,
or a tuple of size 2 representing lower and upper bound. When
represented as a single float, lower = upper. The contrast
factor will be randomly picked between [1.0 - lower, 1.0 + upper]. For any pixel x in the channel, the output will be
(x - mean) * factor + mean where mean is the mean value
of the channel.
A tuple of two floats or a single float. factor
controls the extent to which the image saturation is impacted.
factor=0.5 makes this layer perform a no-op operation.
factor=0.0 makes the image fully grayscale. factor=1.0
makes the image fully saturated. Values should be between
0.0 and 1.0. If a tuple is used, a factor is sampled
between the two values for every image augmented. If a single
float is used, a value between 0.0 and the passed float is
sampled. To ensure the value is always the same, pass a tuple
with two identical floats: (0.5, 0.5).
A single float or a tuple of two floats. factor
controls the extent to which the image hue is impacted.
factor=0.0 makes this layer perform a no-op operation,
while a value of 1.0 performs the most aggressive contrast
adjustment available. If a tuple is used, a factor is
sampled between the two values for every image augmented.
If a single float is used, a value between 0.0 and the
passed float is sampled. In order to ensure the value is
always the same, please pass a tuple with two identical
floats: (0.5, 0.5).
Integer. Used to create a random seed.
String, one of "channels_last" (default) or
"channels_first". The ordering of the dimensions in the inputs.
"channels_last" corresponds to inputs with shape
(batch, height, width, channels) while "channels_first"
corresponds to inputs with shape
(batch, channels, height, width).
For forward/backward compatability.
Other image preprocessing layers:
layer_auto_contrast()
layer_center_crop()
layer_equalization()
layer_max_num_bounding_boxes()
layer_mix_up()
layer_rand_augment()
layer_random_color_degeneration()
layer_random_grayscale()
layer_random_hue()
layer_random_posterization()
layer_random_saturation()
layer_random_sharpness()
layer_random_shear()
layer_rescaling()
layer_resizing()
layer_solarization()
Other preprocessing layers:
layer_auto_contrast()
layer_category_encoding()
layer_center_crop()
layer_discretization()
layer_equalization()
layer_feature_space()
layer_hashed_crossing()
layer_hashing()
layer_integer_lookup()
layer_max_num_bounding_boxes()
layer_mel_spectrogram()
layer_mix_up()
layer_normalization()
layer_rand_augment()
layer_random_brightness()
layer_random_color_degeneration()
layer_random_contrast()
layer_random_crop()
layer_random_flip()
layer_random_grayscale()
layer_random_hue()
layer_random_posterization()
layer_random_rotation()
layer_random_saturation()
layer_random_sharpness()
layer_random_shear()
layer_random_translation()
layer_random_zoom()
layer_rescaling()
layer_resizing()
layer_solarization()
layer_stft_spectrogram()
layer_string_lookup()
layer_text_vectorization()
Other layers:
Layer()
layer_activation()
layer_activation_elu()
layer_activation_leaky_relu()
layer_activation_parametric_relu()
layer_activation_relu()
layer_activation_softmax()
layer_activity_regularization()
layer_add()
layer_additive_attention()
layer_alpha_dropout()
layer_attention()
layer_auto_contrast()
layer_average()
layer_average_pooling_1d()
layer_average_pooling_2d()
layer_average_pooling_3d()
layer_batch_normalization()
layer_bidirectional()
layer_category_encoding()
layer_center_crop()
layer_concatenate()
layer_conv_1d()
layer_conv_1d_transpose()
layer_conv_2d()
layer_conv_2d_transpose()
layer_conv_3d()
layer_conv_3d_transpose()
layer_conv_lstm_1d()
layer_conv_lstm_2d()
layer_conv_lstm_3d()
layer_cropping_1d()
layer_cropping_2d()
layer_cropping_3d()
layer_dense()
layer_depthwise_conv_1d()
layer_depthwise_conv_2d()
layer_discretization()
layer_dot()
layer_dropout()
layer_einsum_dense()
layer_embedding()
layer_equalization()
layer_feature_space()
layer_flatten()
layer_flax_module_wrapper()
layer_gaussian_dropout()
layer_gaussian_noise()
layer_global_average_pooling_1d()
layer_global_average_pooling_2d()
layer_global_average_pooling_3d()
layer_global_max_pooling_1d()
layer_global_max_pooling_2d()
layer_global_max_pooling_3d()
layer_group_normalization()
layer_group_query_attention()
layer_gru()
layer_hashed_crossing()
layer_hashing()
layer_identity()
layer_integer_lookup()
layer_jax_model_wrapper()
layer_lambda()
layer_layer_normalization()
layer_lstm()
layer_masking()
layer_max_num_bounding_boxes()
layer_max_pooling_1d()
layer_max_pooling_2d()
layer_max_pooling_3d()
layer_maximum()
layer_mel_spectrogram()
layer_minimum()
layer_mix_up()
layer_multi_head_attention()
layer_multiply()
layer_normalization()
layer_permute()
layer_rand_augment()
layer_random_brightness()
layer_random_color_degeneration()
layer_random_contrast()
layer_random_crop()
layer_random_flip()
layer_random_grayscale()
layer_random_hue()
layer_random_posterization()
layer_random_rotation()
layer_random_saturation()
layer_random_sharpness()
layer_random_shear()
layer_random_translation()
layer_random_zoom()
layer_repeat_vector()
layer_rescaling()
layer_reshape()
layer_resizing()
layer_rnn()
layer_separable_conv_1d()
layer_separable_conv_2d()
layer_simple_rnn()
layer_solarization()
layer_spatial_dropout_1d()
layer_spatial_dropout_2d()
layer_spatial_dropout_3d()
layer_spectral_normalization()
layer_stft_spectrogram()
layer_string_lookup()
layer_subtract()
layer_text_vectorization()
layer_tfsm()
layer_time_distributed()
layer_torch_module_wrapper()
layer_unit_normalization()
layer_upsampling_1d()
layer_upsampling_2d()
layer_upsampling_3d()
layer_zero_padding_1d()
layer_zero_padding_2d()
layer_zero_padding_3d()
rnn_cell_gru()
rnn_cell_lstm()
rnn_cell_simple()
rnn_cells_stack()