augmixations 0.2.21

Object detection augmentations.

Augmixations

Some augmentations that I hasn't found in other repositories and libraries.

Current augmentations:

• Cutmix (Colab Example)
• Cutout (Colab Example)
• Mixup (Colab Example)

Getting Started

pip install augmixations  

Example with default parameters

Import:

from augmixations import Cutmix, Cutout, Mixup    

Using Cutmix:

#bg_img - The image into which a rectangle will be inserted
#fg_img - The image from which a random rectangle will be cut 

cutmix = Cutmix()
img, boxes, labels = cutmix(bg_img, bg_boxes, bg_labels, fg_img, fg_boxes, fg_labels)  

Done.

Using Cutout:

cutout = Cutout()
new_img, new_boxes, new_labels = cutmix(img, boxes, labels)

Done.

Using Mixup:

mixup = Mixup()
image, boxes, labels = mixup(first_img, first_boxes, first_labels, 
                             second_img, second_boxes, second_labels)

Done.

Advansed usage

You can pass special configs to the cutmix function to override its behavior.

Cutmix Advanced Usage

Contacts

Issues should be raised directly in the repository. For professional support and recommendations please [e-mail].