random_sine_wave

Name	Description
`RandomSineWave`	Random sine wave

Name

Description

RandomSineWave

Random sine wave

RandomSineWave(
    sample_rate: float = 1,
    frequency: float | tuple[float, float] = 100,
    amplitude: float | tuple[float, float] = 0.1,
    **kwargs={},
)

Adds a sine wave to the input.

Base class: BaseAugmentation1D.

Inherited from BaseAugmentation: augment_masks(), augment_samples(), augment_targets(), batch_augment(), call().

Parameters

Parameters of RandomSineWave
Name	Type	Default	Description
`sample_rate`	`float`	1	Sample rate of the input.
`frequency`	`float \| tuple[float, float]`	100	Frequency of the wave in Hz. If tuple, frequency is randomly picked between the values.
`amplitude`	`float \| tuple[float, float]`	0.1	Amplitude of the wave. If tuple, amplitude is randomly picked between the values.

data_format: str

sample_rate: float = sample_rate

frequency: tuple[float, float] = parse_factor(frequency, min_value=0, max_value=sample_rate / 2, param_name='frequency')

amplitude: tuple[float, float] = parse_factor(amplitude, min_value=0, max_value=None, param_name='amplitude')

get_random_transformations(input_shape: tuple[int, int, int]) -> dict

Generate noise distortion tensor

Parameters

Parameters of get_random_transformations
Name	Type	Default	Description
`input_shape`	`tuple[int, ...]`	Required	Input shape.

Returns

Returns of get_random_transformations
Value	Type	Description
`dict`	`dict`	Dictionary containing the noise tensor.

augment_sample(inputs)

Augment single sample with sine wave.

get_config()

random_sine_wave

Random Sine Wave Layer API