Skip to main content

A lightweight data-augmentation library for machine learning

Project description

elaugment

elaugment is a Python package for reproducable data-augmentations. In difference to most other libraries random parameters for transformations are drawn seperate from the transformations. This makes it very easy apply the same transformations to several images. An example where this behaviour is useful is semantic segmentation, when you need to modify the input and the mask in the same way.

This library is currently in it's early stages so interfaces may break and some operations are slow.

Installation

  1. Clone this repository
  2. Run pip install elaugment

Examples & Usage

See /examples for an comprehensive overview.

Contribute

Transformations are easy to integrate into elaugment, so just create pull-requests when you feel like it!

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for elaugment, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size elaugment-0.1.0-py3-none-any.whl (10.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size elaugment-0.1.0.tar.gz (7.4 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page