🖼️💥 Augmently :

An Open Source library for Data Augmentation for image classification.
With Flips, Square crops and resiszing, and Salt and Pepper Noise.
 

📁Note On Folder Format:

Currently the library works only for image grouped each in their own class folder.

For example:

    ──My_animal_images_folder
        ├── Dogs
        │   ├── dog_img_1.jpg
        │   ├── dog_img_2.jpg
        │   ├── ...
        │   └── dog_img_n.jpeg
        ├── Cats
        ├── ...
        └── Elephants   

 

⭐Start Using it:

Download the Pip version:

pip install Augmently

Now COPY PASTE this in your code:

    from Augmently.Augmently import create_resized_cropped_square_class_images, create_salt_and_pepper_class_images, create_salt_and_pepper_class_images

🤖 The Functions:

 

🔲 Crop to Square Size - create_resized_cropped_square_class_images()

What it does:

Creates a new folder with your images both resized and cropped to the square image length of your choice

Arguments:

image_data_path (String) , output_path (string), square_length (Number)

Example Usage:

create_resized_cropped_square_class_images_in_new_folder("Desktop/image_folder", "Desktop/image_folder_square_resized_224pixels", 224 )

     

🧂Salt and Pepper Noise - create_salt_and_pepper_class_images()

What it does:

Creates a new folder with your images with your desired amount of salt and pepper noise pixels added to your images

Arguments:

image_data_path (String) , output_path (String) , noise_amount (Number)

Example Usage:

create_salt_and_pepper_class_images_in_new_folder("Desktop/image_folder", "Desktop/image_folder_salt_pepper_0.05", 0.05 )

     

↔️ Flip images - create_flipped_class_images()

What it does:

Creates a new folder with your images flipped

Arguments:

image_data_path (String) , output_path (string)

Example Usage:

create_flipped_class_images_in_new_folder("Desktop/image_folder", "Desktop/image_folder_flipped")

🔜 In Progress:

🔄 Square Cropped Rotations - create_rotated_class_images()

What it does:

Creates a new folder with your images with your desired amount of maximum rotation to your images

Arguments:

image_data_path (String) , output_path (String) , max_rotation (Number in degrees)

Example Usage:

create_rotated_images_in_new_folder("Desktop/image_folder", "Desktop/image_folder_rotated_360", 360 )

🌈 Gaussian Noise - create_gaussian_noise_class_images()

What it does:

Creates a new folder with your images with your desired amount of gaussian noise to your images

Arguments:

image_data_path (String) , output_path (String) , amount_noise (Number)

Example Usage:

create_gaussian_noise_images_in_new_folder("Desktop/image_folder", "Desktop/image_gaussian_0.05", 0.05 )

     

⬛ Add Occluding Black Squares - create_occluding_squares_class_images()

What it does:

Creates a new folder with your images with your desired max size of occluding black squares to your images

Arguments:

image_data_path (String) , output_path (String) , max_square_len (Number in px)

Example Usage:

create_occluding_square_images_in_new_folder("Desktop/image_folder", "Desktop/image_black_square_20", 20 )

     

🔍 Random Resized Zooms - create_zoom_class_images()

What it does:

Creates a new folder with your images with your desired max zoom (resized to original len) to your images

Arguments:

image_data_path (String) , output_path (String) , max_zoom_square_len (Number in px)

Example Usage:

create_zoomed_images_in_new_folder("Desktop/image_folder", "Desktop/image_zoom_120", 120 )