Metadata-Version: 2.1
Name: imgaug
Version: 0.3.0
Summary: Image augmentation library for deep neural networks
Home-page: https://github.com/aleju/imgaug
Author: Alexander Jung
Author-email: kontakt@ajung.name
License: MIT
Download-URL: https://github.com/aleju/imgaug/archive/0.3.0.tar.gz
Keywords: augmentation,image,deep learning,neural network,CNN,machine learning,computer vision,overfitting
Platform: UNKNOWN
Requires-Dist: six
Requires-Dist: numpy (>=1.15)
Requires-Dist: scipy
Requires-Dist: Pillow
Requires-Dist: matplotlib
Requires-Dist: scikit-image (>=0.14.2)
Requires-Dist: opencv-python-headless
Requires-Dist: imageio
Requires-Dist: Shapely

A library for image augmentation in machine learning experiments, particularly convolutional
neural networks. Supports the augmentation of images, keypoints/landmarks, bounding boxes, heatmaps and segmentation
maps in a variety of different ways.

