Aug-tool is a Python library for data augmentation in machine learning projects. Easily enhance your dataset size by augmenting images and annotation files with customizable transformations. Aug-tool supports popular frameworks like TensorFlow and PyTorch, and seamlessly integrates into your workflow. Boost your model's performance with aug-tool!

Installation

pip install aug-tool

To install "aug-tool", you can use pip, the Python package manager. Open a terminal or command prompt and run the following command:

pip install aug-tool

This will download and install the "aug-tool" library and its dependencies to your Python environment.

Alternatively, you can also install "aug-tool" from a source code repository. Here are the steps:

1. Clone the "aug-tool" repository from GitHub:

git clone https://github.com/hakanaktas1/aug-tool.git

2. Navigate to the cloned directory:

cd aug-tool

3. Install the library using pip:

pip install .

Features

• Supports various image augmentation techniques suitable for real environment conditions, such as adding noise, scaling, shifting, and more.

• Provides convenient integration with popular machine learning libraries such as TensorFlow, Keras, PyTorch, etc.

• Allows augmentation of both images and their annotation files in formats such as XML, or TXT. (json will be added soon)

• Customizable augmentation parameters, including rotation angle, scaling factor, flipping direction, and more.

• Supports augmentation of multiple images and annotation files in batch mode.