img_random_hsv_in_yiq: Random hsv in yiq

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

Adjust hue, saturation, value of an RGB image randomly in YIQ color

Usage

img_random_hsv_in_yiq(
  image,
  max_delta_hue = 0,
  lower_saturation = 1,
  upper_saturation = 1,
  lower_value = 1,
  upper_value = 1,
  seed = NULL,
  name = NULL
)

Arguments

image	RGB image or images. Size of the last dimension must be 3.
max_delta_hue	float. Maximum value for the random delta_hue. Passing 0 disables adjusting hue.
lower_saturation	float. Lower bound for the random scale_saturation.
upper_saturation	float. Upper bound for the random scale_saturation.
lower_value	float. Lower bound for the random scale_value.
upper_value	float. Upper bound for the random scale_value.
seed	An operation-specific seed. It will be used in conjunction with the graph-level seed to determine the real seeds that will be used in this operation. Please see the documentation of set_random_seed for its interaction with the graph-level random seed.
name	A name for this operation (optional).

Details

space. Equivalent to 'adjust_yiq_hsv()' but uses a 'delta_h' randomly picked in the interval '[-max_delta_hue, max_delta_hue]', a 'scale_saturation' randomly picked in the interval '[lower_saturation, upper_saturation]', and a 'scale_value' randomly picked in the interval '[lower_saturation, upper_saturation]'.

Value

3-D float tensor of shape '[height, width, channels]'.

Raises

ValueError: if 'max_delta', 'lower_saturation', 'upper_saturation', 'lower_value', or 'upper_value' is invalid.

Examples

## Not run: 
delta = 0.5
lower_saturation = 0.1
upper_saturation = 0.9
lower_value = 0.2
upper_value = 0.8
rand_hsvinyiq = img_random_hsv_in_yiq(img, delta,
lower_saturation, upper_saturation,
lower_value, upper_value)
)

## End(Not run)

tfaddons documentation built on July 2, 2020, 2:12 a.m.