ImageDataAugmentor 1.0.3

Augment Image Data

Image-Data-Augmentor

Author : Aditya Mangal

Image-Data-Augmentor Image-Data-Augmentor is a Python module designed to enhance the preprocessing pipeline for machine learning models by providing a robust set of image augmentation techniques.
It focuses on modifying the input image data in various controlled ways, allowing developers and researchers to generate a more diverse dataset, improving the model's ability to generalize and handle unseen data.

Installation

Dependencies

• Python (>= 3.7)
• cv2 (>= 4.5)
• NumPy (>= 1.17)
• glob (>= 0.7)
• future (>= 0.18.2)
• ConcurrentImageRead (>= 0.0.10)

User installation

pip install ImageDataAugmenter

Usage

from ImageDataAugmentor import ImageDataAugmentation as IDA
image_data_augmentor = IDA()
output = image_data_augmentor.data_augmentation(image_dir_path='input', configuration_file_path='config.yaml')

To Do List

• Integrate Data Iterator
• Integrate Parallel Processing Pipeline
• Add yolo and xml boxes augmenter
• Generative Adversarial Networks will be used to generate new samples of images