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Author:
Vladimir Iglovikov
License:
MIT
Summary:
Fork of Albumentations in direct support of NRTK (Natural Robustness Toolkit). Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.
Latest version:
2.2.1
Required dependencies:
eval-type-backport
|
numpy
|
pydantic
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pyyaml
|
scipy
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simsimd
|
stringzilla
|
typing-extensions
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