Metadata-Version: 2.4
Name: sindre-imgaug
Version: 0.4.2
Summary: Image augmentation library for deep neural networks (fork)
Author-email: Alexander Jung <kontakt@ajung.name>
License: MIT
Project-URL: Homepage, https://github.com/SindreYang/sindre-imgaug
Project-URL: Download, https://github.com/SindreYang/sindre-imgaug/archive/v0.4.2.tar.gz
Keywords: augmentation,image,deep learning,neural network,CNN,machine learning,computer vision,overfitting
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: six
Requires-Dist: numpy>=1.21
Requires-Dist: scipy
Requires-Dist: Pillow
Requires-Dist: matplotlib
Requires-Dist: scikit-image>=0.17
Requires-Dist: opencv-python-headless
Requires-Dist: imageio
Requires-Dist: Shapely
Dynamic: license-file

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.
