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Author:
Vladimir Iglovikov
Summary:
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations 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. Licensed under AGPL-3.0 (open source); commercial licenses are also available.
Latest version:
2.3.1
Required dependencies:
albucore
|
numpy
|
pydantic
|
pyyaml
|
scipy
|
typing-extensions
Optional dependencies:
huggingface-hub
|
opencv-contrib-python
|
opencv-contrib-python-headless
|
opencv-python
|
opencv-python-headless
|
pillow
|
pyvips
|
torch
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