# File content is auto-generated. Do not modify.
# pylint: skip-file
from ._internal import NDArrayBase
from ..base import _Null
def adjust_lighting(data=None, alpha=_Null, out=None, name=None, **kwargs):
r"""Adjust the lighting level of the input. Follow the AlexNet style.
Defined in src/operator/image/image_random.cc:L118
Parameters
----------
data : NDArray
The input.
alpha : tuple of <float>, required
The lighting alphas for the R, G, B channels.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def flip_left_right(data=None, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L68
Parameters
----------
data : NDArray
The input.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def flip_top_bottom(data=None, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L76
Parameters
----------
data : NDArray
The input.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def normalize(data=None, mean=_Null, std=_Null, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L52
Parameters
----------
data : NDArray
The input.
mean : tuple of <float>, required
Sequence of mean for each channel.
std : tuple of <float>, required
Sequence of standard deviations for each channel.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_brightness(data=None, min_factor=_Null, max_factor=_Null, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L84
Parameters
----------
data : NDArray
The input.
min_factor : float, required
Minimum factor.
max_factor : float, required
Maximum factor.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_color_jitter(data=None, brightness=_Null, contrast=_Null, saturation=_Null, hue=_Null, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L111
Parameters
----------
data : NDArray
The input.
brightness : float, required
How much to jitter brightness.
contrast : float, required
How much to jitter contrast.
saturation : float, required
How much to jitter saturation.
hue : float, required
How much to jitter hue.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_contrast(data=None, min_factor=_Null, max_factor=_Null, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L90
Parameters
----------
data : NDArray
The input.
min_factor : float, required
Minimum factor.
max_factor : float, required
Maximum factor.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_flip_left_right(data=None, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L72
Parameters
----------
data : NDArray
The input.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_flip_top_bottom(data=None, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L80
Parameters
----------
data : NDArray
The input.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_hue(data=None, min_factor=_Null, max_factor=_Null, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L104
Parameters
----------
data : NDArray
The input.
min_factor : float, required
Minimum factor.
max_factor : float, required
Maximum factor.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_lighting(data=None, alpha_std=_Null, out=None, name=None, **kwargs):
r"""Randomly add PCA noise. Follow the AlexNet style.
Defined in src/operator/image/image_random.cc:L125
Parameters
----------
data : NDArray
The input.
alpha_std : float, optional, default=0.05
Level of the lighting noise.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def random_saturation(data=None, min_factor=_Null, max_factor=_Null, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L97
Parameters
----------
data : NDArray
The input.
min_factor : float, required
Minimum factor.
max_factor : float, required
Maximum factor.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
def to_tensor(data=None, out=None, name=None, **kwargs):
r"""
Defined in src/operator/image/image_random.cc:L42
Parameters
----------
data : NDArray
The input.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
"""
return (0,)
__all__ = ['adjust_lighting', 'flip_left_right', 'flip_top_bottom', 'normalize', 'random_brightness', 'random_color_jitter', 'random_contrast', 'random_flip_left_right', 'random_flip_top_bottom', 'random_hue', 'random_lighting', 'random_saturation', 'to_tensor']