[P] Albumentations, an image augmentation library version 0.3 released. New weather augmentations, serialization support for reproducible machine learning pipelines, and speedup improvements
![[P] Albumentations, an image augmentation library version 0.3 released. New weather augmentations, serialization support for reproducible machine learning pipelines, and speedup improvements](https://b.thumbs.redditmedia.com/yn35dDC2q1QuhtRne_jWXLGQ1-suryUATfThcPeI7ns.jpg "[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 New featuresWeather augmentations. We’ve added weather augmentations such as RandomRain, RandomSnow, RandomSunFlare, RandomShadow, RandomFog. https://i.redd.it/4x2y4nty5q731.jpg Pipeline serialization. Now we can define transformations in the code and serialize them in python dictionary, json and yaml files. A Jupyter notebook with examples. New transformations. 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 |
