**********
NoisyLines
**********

.. autoclass:: augraphy.augmentations.noisylines.NoisyLines
    :members:
    :undoc-members:
    :show-inheritance:

--------
Overview
--------
The NoisyLines augmentation create noisy lines by drawing horizontal or vertical lines in a fixed intervals.

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:

.. figure:: augmentations/input.png

---------
Example 1
---------
In this example, a NoisyLines augmentation instance is initialized and the lines direction is set to horizontal (0).
The location of lines is set to random location ("random").
The number of noisy lines is set to random value in between 3 and 5 (3,5).
The lines color is set to black (0,0,0) and the thickness of the lines is set to 2 (2,2).
The random noise intensity is set randomly in between 1 to 10 percent (0.01, 0.1).
The space interval in each line is set randomly in between 0 and 100 (0,100).
The Gaussian kernel value in blurring the lines is set to 3 (3,3).
The method to overlay lines into the image is set to the default method ("ink_to_paper").

Code example:

::

    noisylines = NoisyLines(noisy_lines_direction = 0,
			    noisy_lines_location = "random",
                            noisy_lines_number_range = (3,5),
                            noisy_lines_color = (0,0,0),
                            noisy_lines_thickness_range = (2,2),
                            noisy_lines_random_noise_intensity_range = (0.01, 0.1),
                            noisy_lines_length_interval_range = (0,100),
                            noisy_lines_gaussian_kernel_value_range = (3,3),
                            noisy_lines_overlay_method = "ink_to_paper",
			    )


    img_noisylines = noisylines(image)
    cv2.imshow("noisylines", img_noisylines)

Augmented image:

.. figure:: augmentations/noisylines/noisy_lines.png