Stains#

class augraphy.augmentations.stains.Stains(stains_type='random', stains_blend_method='darken', stains_blend_alpha=0.5, p=1)[source]#

Bases: Augmentation

Creates a stains texture and the stains texture is blended into the input image by using OverlayBuilder.

Parameters:

stains_type (tuple, optional) – Types of stains. Use “random” for random stains effect. Select from “rough_stains”, “fine_stains”, “severe_stains”, “light_stains”.
stains_blend_method (string, optional) – The blending method to blend stains texture into the input image.
stains_blend_alpha (float, optional) – The blending alpha value for blending method with the usage of alpha.
p (float, optional) – The probability this Augmentation will be applied.

Overview#

The Stains augmentation creates a stains texture and the stains texture is blended into the input image by using OverlayBuilder.

Initially, a clean image with single line of text is created.

Code example:

# import libraries
import cv2
import numpy as np
from augraphy import *


# create a clean image with single line of text
image = np.full((500, 1500,3), 250, dtype="uint8")
cv2.putText(
    image,
    "Lorem ipsum dolor sit amet, consectetur adipiscing elit",
    (80, 250),
    cv2.FONT_HERSHEY_SIMPLEX,
    1.5,
    0,
    3,
)

cv2.imshow("Input image", image)

Clean image:

Example 1#

In this example, a Stains augmentation instance is initialized and the stains type is set to severe stains (stains_type=”severe_stains”). The method to blend stains texture into image is set to darken (stains_blend_method=”darken”).

Code example:

stains = Stains(stains_type="severe_stains",
                stains_blend_method="darken",
                )

img_stains = stains(image)

cv2.imshow("stains", img_stains)

Augmented image: