Image data processing and augmentation tools
Project description
IMGO
Process, Augment, and Balance Image Data
This library is designed to facilitate the preprocessing phase of image classification projects in order to get into the fun part: training the models!
Features:
Imgo is composed of two modules: uptools and augtools.
Uptools helps to streamline various image data preprocessing tasks, such as:
- Reading images from a local disk
- Rescaling images
- Normalizing and standardizing pixel values
- Converting image datasets into numpy-arrays
- One-hot-encoding label data
- Splitting image datasets into training, validation, and testing subsets
- Merging data subsets into a single dataset
- Saving numpy-arrays as images in class subdirectories
Augtools allows the user to quickly and efficiently apply augmentation to image data. With Augtools, users can perform the following augmentation tasks using very few lines of code:
- Apply a powerful collection of transformation and corruption functions
- Augment images saved on a local disk
- Save augmented images in class subdirectories
- Augment entire image datasets
- Augment training data in place in preparation for machine learning projects
- Rebalance class sizes by generating new training images
Installation
It's as easy as pip install imgo
!
Quickstart
Have a look at the demos here!
Documentation
Documentation is currently available in the form of docstrings.
Requirements and Dependencies
Please see the requirements.txt
file for all requirements and dependencies.
Support
The source code is available here. Please direct any queries or issues to info@elbydata.com.
License
The project is licensed under the MIT license.
Acknowledgements
Some of the augtools library is built as a wrapper around Imgaug, a powerful image augmentation library. For more information, please see https://imgaug.readthedocs.io/en/latest/.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.