augmenters.weather

Note

All examples below use the following input image:

FastSnowyLandscape

Convert non-snowy landscapes to snowy ones.

This augmenter expects to get an image that roughly shows a landscape.

API link: FastSnowyLandscape

Example. Search for all pixels in the image with a lightness value in HLS colorspace of less than 140 and increase their lightness by a factor of 2.5.

import imgaug.augmenters as iaa
aug = iaa.FastSnowyLandscape(
    lightness_threshold=140,
    lightness_multiplier=2.5
)

Example. Search for all pixels in the image with a lightness value in HLS colorspace of less than 128 or less than 200 (one of these values is picked per image) and multiply their lightness by a factor of x with x being sampled from uniform(1.5, 3.5) (once per image).

aug = iaa.FastSnowyLandscape(
    lightness_threshold=[128, 200],
    lightness_multiplier=(1.5, 3.5)
)

FastSnowyLandscape with choice and uniform

Example. Similar to the previous example, but the lightness threshold is sampled from uniform(100, 255) (per image) and the multiplier from uniform(1.0, 4.0) (per image). This seems to produce good and varied results.

aug = iaa.FastSnowyLandscape(
    lightness_threshold=(100, 255),
    lightness_multiplier=(1.0, 4.0)
)

FastSnowyLandscape with uniform distributions

Clouds

Add clouds to images.

This is a wrapper around CloudLayer. It executes 1 to 2 layers per image, leading to varying densities and frequency patterns of clouds.

This augmenter seems to be fairly robust w.r.t. the image size. Tested with 96x128, 192x256 and 960x1280.

API link: Clouds()

Example. Create an augmenter that adds clouds to images:

import imgaug.augmenters as iaa
aug = iaa.Clouds()

Fog

Add fog to images.

This is a wrapper around CloudLayer. It executes a single layer per image with a configuration leading to fairly dense clouds with low-frequency patterns.

This augmenter seems to be fairly robust w.r.t. the image size. Tested with 96x128, 192x256 and 960x1280.

API link: Fog()

Example. Create an augmenter that adds fog to images:

import imgaug.augmenters as iaa
aug = iaa.Fog()

CloudLayer

Add a single layer of clouds to an image.

API link: CloudLayer

Snowflakes

Add falling snowflakes to images.

This is a wrapper around SnowflakesLayer. It executes 1 to 3 layers per image.

API link: Snowflakes()

Example. Add snowflakes to small images (around 96x128):

import imgaug.augmenters as iaa
aug = iaa.Snowflakes(flake_size=(0.1, 0.4), speed=(0.01, 0.05))

Example. Add snowflakes to medium-sized images (around 192x256):

aug = iaa.Snowflakes(flake_size=(0.2, 0.7), speed=(0.007, 0.03))

Example. Add snowflakes to large images (around 960x1280):

aug = iaa.Snowflakes(flake_size=(0.7, 0.95), speed=(0.001, 0.03))

SnowflakesLayer

Add a single layer of falling snowflakes to images.

API link: SnowflakesLayer

Rain

Add falling snowflakes to images.

This is a wrapper around RainLayer. It executes 1 to 3 layers per image.

Note

This augmenter currently seems to work best for medium-sized images around 192x256. For smaller images, you may want to increase the speed value to e.g. (0.1, 0.3), otherwise the drops tend to look like snowflakes. For larger images, you may want to increase the drop_size to e.g. (0.10, 0.20).

API link: Rain

Example. Add rain to small images (around 96x128):

import imgaug.augmenters as iaa
aug = iaa.Rain(speed=(0.1, 0.3))

Example. Add rain to medium sized images (around 192x256):

aug = iaa.Rain()

Example. Add rain to large images (around 960x1280):

aug = iaa.Rain(drop_size=(0.10, 0.20))

RainLayer

Add a single layer of falling raindrops to images.

API link: RainLayer