ColorPaper#

class augraphy.augmentations.colorpaper.ColorPaper(hue_range=(28, 45), saturation_range=(10, 40), p=1)[source]#

Bases: Augmentation

Change color of input paper based on user input hue and saturation.

Parameters:

hue_range (tuple, optional) – Pair of ints determining the range from which hue value is sampled.
saturation_range – Pair of ints determining the range from which saturation value is sampled.
p (float, optional) – The probability that this Augmentation will be applied.

add_color(image)[source]#

Add color background into input image.

Parameters:: image (numpy.array (numpy.uint8)) – The image to apply the function.

Overview#

The ColorPaper augmentation change color of input paper based on user input hue and saturation. Right now it supports only HSV colorspace.

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 ColorPaper augmentation instance is initialized and the hue changes range is set to red color (0, 10). The saturation changes range is set to low value (10,30).

Code example:

colorpaper= ColorPaper(hue_range=(0, 10), saturation_range=(10,30))

img_colorpaper = colorpaper(image)
cv2.imshow("colorpaper", img_colorpaper)

Augmented image: