albumentationsRepository32/100 via “photometric augmentation with color space awareness”
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
Unique: Automatically handles color space conversions (RGB↔HSV, RGB↔LAB) for color-aware transforms, applying operations in perceptually appropriate spaces and converting back without artifacts; supports both uint8 and float32 images with automatic range handling
vs others: More robust than channel-wise color augmentation because it respects color space semantics; more efficient than manual color space conversion because it caches conversions and applies multiple transforms in a single pass