AugX 0.2.0

Simple image augmentation utility

AugX

AugX is a lightweight image augmentation utility for computer vision projects.
It provides a simple interface to generate multiple augmented image variants, as well as a dedicated sharpening function with adjustable intensity.

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Features

• Horizontal flipping
• Gaussian blur
• Median blur
• Sharpening (standard + adjustable strength)
• High-pass enhancement
• Dilation & erosion
• Returns augmentations as a list for easy saving or training

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Installation

pip install augx

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Usage

Importing

import cv2
from augx import augment_image, display_images

Generate Multiple Augmentations

Load Image:

img = cv2.imread("sample.jpg")

To generate Augmented images:

augmented_images = augment_image(img)
for name, img in augmented_images:
    cv2.imwrite(f"{name}.jpg", img)

To Display the images:

augmented_images = augment_image(img)
display_images(augmented_images)

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Function Overview

augment_image(img)

Returns a list of augmented images, including:

• Original image
• Horizontally flipped
• Sharpened
• Gaussian blur applied
• Median blur applied
• High-pass filtered version
• Dilated image
• Eroded image

display_images(named_images)

Displays each augmented image one-by-one in a separate window, along with the name of the applied transformation.

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License

Licensed under the MIT License.
See the full text in LICENSE.txt.

Author

Xopse
🌐 GitHub