Sept. 26, 2022, 1:08 p.m. | /u/alexparinov

Machine Learning www.reddit.com

https://preview.redd.it/vh0tnz0lc7q91.png?width=600&format=png&auto=webp&s=9913b8830a2ae0a621023b864a5499a367d7f114

The new release of a fast and flexible library for image augmentation includes:

# New augmentations

* [**RandomCropFromBorders**](https://albumentations.ai/docs/api_reference/augmentations/crops/transforms/#albumentations.augmentations.crops.transforms.RandomCropFromBorders) \- Crops image based on indents from image borders
* [**BBoxSafeRandomCrop**](https://albumentations.ai/docs/api_reference/augmentations/crops/transforms/#albumentations.augmentations.crops.transforms.BBoxSafeRandomCrop) \- Crops image without loss of bboxes. Unlike RandomSizedBBoxSafeCrop this implementation does not apply resize to the target size.
* [**Spatter**](https://albumentations.ai/docs/api_reference/augmentations/transforms/#albumentations.augmentations.transforms.Spatter) \- Simulates corruption which can occlude a lens in the form of rain or mud.
* [**Defocus**](https://albumentations.ai/docs/api_reference/augmentations/transforms/#albumentations.augmentations.transforms.Defocus) \- Imitates lens defocusing.
* [**ZoomBlur**](https://albumentations.ai/docs/api_reference/augmentations/transforms/#albumentations.augmentations.transforms.ZoomBlur) \- Imitates lens blur on zooming. …

augmentation image library machinelearning python

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