5 projects
nrtk
Natural Robustness Toolkit (NRTK) is a platform for generating validated, sensor-specific perturbations and transformations used to evaluate the robustness of computer vision models.
pybsm
pyBSM is a Python-based tool for sensor modeling. It provides common components useful for simulating the image formation process through different imaging systems.
xaitk-jatic
Integration package to support interfacing, implementation and example needs for the JATIC.
nrtk-albumentations
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.
