Package profile
imgaug
- Summary: Image augmentation library for deep neural networks
- Author: Alexander Jung
- License: MIT License
- Homepage: https://github.com/aleju/imgaug
- Source: https://github.com/aleju/imgaug
- Number of releases: 11
- First release: 0.2.0 on 2017-03-23
- Latest release: 0.4.0 on 2020-02-05
- Latest release size: 925.8 KB (pure Python wheel)
1 known vulnerabilityLatest: GHSA-g82g-j283-hj97 — imgaug contains an insecure deserialization vulnerability in BackgroundAugmenter class within multicore.py module View all →
Dependencies
Imgaug has 9 dependencies, 0 of which optional.Dependent packages
| Package | Optional | Group |
|---|---|---|
| kwimage | true | problematic |
| modelscope | true | cv |
Similar packages
- torch-audiomentationsA Pytorch library for audio data augmentation. Inspired by audiomentations. Useful for deep learning.
- keras-preprocessingEasy data preprocessing and data augmentation for deep learning models
- torchvisionimage and video datasets and models for torch deep learning
- timmPyTorch Image Models
- thincA refreshing functional take on deep learning, compatible with your favorite libraries
- tf-kerasDeep learning for humans.
- tf-keras-nightlyDeep learning for humans.