[P] Albumentations, an image augmentation library version 0.3 released. New weather augmentations, serialization support for reproducible machine learning pipelines, and speedup improvements
You can download the library from PyPI using
We’ve added weather augmentations such as RandomRain, RandomSnow, RandomSunFlare, RandomShadow, RandomFog.
Now we can define transformations in the code and serialize them in python dictionary, json and yaml files. A Jupyter notebook with examples.
Lambda, GaussianBlur, ChannelDropout, CoarseDropout.
The full release notes are available at https://github.com/albu/albumentations/releases/tag/0.3.0
submitted by /u/alexparinov