albucore and albumentations
Albucore is an ecosystem sibling to Albumentations, specifically designed to extend and optimize its image transformation capabilities as a high-performance image processing library.
About albucore
albumentations-team/albucore
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
Albucore is a high-performance library offering optimized functions for common image processing tasks in computer vision. It takes images as input and applies transformations like arithmetic operations, normalization, or geometric flips, outputting the modified images. This tool is designed for computer vision engineers and researchers who are building and training models.
About albumentations
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Provides 70+ spatial and pixel-level transforms with a unified API for multiple computer vision tasks (classification, segmentation, object detection, pose estimation) and data types (images, masks, bounding boxes, keypoints). Optimized for speed with native support for PyTorch and TensorFlow pipelines, achieving consistent benchmark performance as the fastest augmentation library. Applies transformations deterministically across all target types simultaneously, ensuring spatial consistency for tasks requiring synchronized augmentation of related annotations.
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