layer_random_contrast {keras} | R Documentation |
Adjust the contrast of an image or images by a random factor
Description
Adjust the contrast of an image or images by a random factor
Usage
layer_random_contrast(object, factor, seed = NULL, ...)
Arguments
object |
What to compose the new
|
factor |
a positive float represented as fraction of value, or a list of
size 2 representing lower and upper bound. When represented as a single
float, lower = upper. The contrast factor will be randomly picked between
|
seed |
Integer. Used to create a random seed. |
... |
standard layer arguments. |
Details
Contrast is adjusted independently for each channel of each image during training.
For each channel, this layer computes the mean of the image pixels in the
channel and then adjusts each component x
of each pixel to
(x - mean) * contrast_factor + mean
.
Input shape:
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels)
, in "channels_last"
format.
Output shape:
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels)
, in "channels_last"
format.
See Also
Other image augmentation layers:
layer_random_brightness()
,
layer_random_crop()
,
layer_random_flip()
,
layer_random_height()
,
layer_random_rotation()
,
layer_random_translation()
,
layer_random_width()
,
layer_random_zoom()
Other preprocessing layers:
layer_category_encoding()
,
layer_center_crop()
,
layer_discretization()
,
layer_hashing()
,
layer_integer_lookup()
,
layer_normalization()
,
layer_random_brightness()
,
layer_random_crop()
,
layer_random_flip()
,
layer_random_height()
,
layer_random_rotation()
,
layer_random_translation()
,
layer_random_width()
,
layer_random_zoom()
,
layer_rescaling()
,
layer_resizing()
,
layer_string_lookup()
,
layer_text_vectorization()