DoubleExposure#

class augraphy.augmentations.doubleexposure.DoubleExposure(gaussian_kernel_range=(9, 12), offset_direction='random', offset_range=(18, 25), p=1)[source]#

Bases: Augmentation

Emulates double exposure effect when taking picture with phone camera.

Parameters:

gaussian_kernel_range (tuple, optional) – Pair of ints determining the value of Gaussian kernel.
offset_direction (string or int, optional) – Direction of exposure effect. Use “random: for random direction. Use 0 for horizontal direction and 1 for vertical direction.
offset_range (tuple, optional) – Tuple of ints determining the value of exposure offset.
p (float, optional) – The probability this Augmentation will be applied.

Overview#

The DoubleExposure augmentation emulates double exposure effect when taking picture with phone camera.

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 DoubleExposure augmentation instance is initialized and the exposure direction is set to vertical (offset_direction=1）。 The gaussian kernel is set to random value in between 9 and 12 (9,12) and the offset is set of random value in between 18 and 25 pixels (18,25).

Code example:

doubleexposure = DoubleExposure(gaussian_kernel_range=(9,12),
                                offset_direction=1,
                                offset_range=(18,25),
                                )


img_doubleexposure = doubleexposure(image)
cv2.imshow("doubleexposure", img_doubleexposure)

Augmented image: