tfa.image.random_hsv_in_yiq

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

tfa.image.random_hsv_in_yiq(
    image: tfa.types.TensorLike,
    max_delta_hue: tfa.types.Number = 0,
    lower_saturation: tfa.types.Number = 1,
    upper_saturation: tfa.types.Number = 1,
    lower_value: tfa.types.Number = 1,
    upper_value: tfa.types.Number = 1,
    seed: Optional[int] = None,
    name: Optional[str] = None
) -> tf.Tensor

Used in the notebooks

Used in the tutorials

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].

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).

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

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