augmenters.imgcorruptlike

GaussianNoise

Wrapper around gaussian_noise().

Note

This augmenter only affects images. Other data is not changed.

API link: GaussianNoise

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around gaussian_noise(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.GaussianNoise(severity=2)

ShotNoise

Wrapper around shot_noise().

Note

This augmenter only affects images. Other data is not changed.

API link: ShotNoise

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around shot_noise(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.ShotNoise(severity=2)

ImpulseNoise

Wrapper around impulse_noise().

Note

This augmenter only affects images. Other data is not changed.

API link: ImpulseNoise

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around impulse_noise(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.ImpulseNoise(severity=2)

SpeckleNoise

Wrapper around speckle_noise().

Note

This augmenter only affects images. Other data is not changed.

API link: SpeckleNoise

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around speckle_noise(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.SpeckleNoise(severity=2)

GaussianBlur

Wrapper around gaussian_blur().

Note

This augmenter only affects images. Other data is not changed.

API link: GaussianBlur

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around gaussian_blur(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.GaussianBlur(severity=2)

GlassBlur

Wrapper around glass_blur().

Note

This augmenter only affects images. Other data is not changed.

API link: GlassBlur

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around glass_blur(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.GlassBlur(severity=2)

DefocusBlur

Wrapper around defocus_blur().

Note

This augmenter only affects images. Other data is not changed.

API link: DefocusBlur

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around defocus_blur(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.DefocusBlur(severity=2)

MotionBlur

Wrapper around motion_blur().

Note

This augmenter only affects images. Other data is not changed.

API link: MotionBlur

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around motion_blur(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.MotionBlur(severity=2)

ZoomBlur

Wrapper around zoom_blur().

Note

This augmenter only affects images. Other data is not changed.

API link: ZoomBlur

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around zoom_blur(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.ZoomBlur(severity=2)

Fog

Wrapper around fog().

Note

This augmenter only affects images. Other data is not changed.

API link: Fog

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around fog(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Fog(severity=2)

Frost

Wrapper around frost().

Note

This augmenter only affects images. Other data is not changed.

API link: Frost

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around frost(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Frost(severity=2)

Snow

Wrapper around snow().

Note

This augmenter only affects images. Other data is not changed.

API link: Snow

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around snow(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Snow(severity=2)

Spatter

Wrapper around spatter().

Note

This augmenter only affects images. Other data is not changed.

API link: Spatter

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around spatter(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Spatter(severity=2)

Contrast

Wrapper around contrast().

Note

This augmenter only affects images. Other data is not changed.

API link: Contrast

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around contrast(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Contrast(severity=2)

Brightness

Wrapper around brightness().

Note

This augmenter only affects images. Other data is not changed.

API link: Brightness

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around brightness(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Brightness(severity=2)

Saturate

Wrapper around saturate().

Note

This augmenter only affects images. Other data is not changed.

API link: Saturate

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around saturate(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Saturate(severity=2)

JpegCompression

Wrapper around jpeg_compression().

Note

This augmenter only affects images. Other data is not changed.

API link: JpegCompression

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around jpeg_compression(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.JpegCompression(severity=2)

Pixelate

Wrapper around jpeg_compression().

Note

This augmenter only affects images. Other data is not changed.

Wrapper around pixelate().

Note

This augmenter only affects images. Other data is not changed.

API link: Pixelate

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around pixelate(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.Pixelate(severity=2)

ElasticTransform

Wrapper around elastic_transform().

Note

This augmenter only affects images. Other data is not changed.

API link: ElasticTransform

The image below visualizes severities 1 to 5 – one severity per row:

Example. Create an augmenter around elastic_transform(). Apply it to images using e.g. aug(images=[image1, image2, ...]):

import imgaug.augmenters as iaa
aug = iaa.imgcorruptlike.ElasticTransform(severity=2)