| kornia.augmentation | |
| =================== | |
| This module implements in a high level logic. The main features of this module, and similar to the rest of the | |
| library, is that can it perform data augmentation routines in a batch mode, using any supported device, | |
| and can be used for backpropagation. Some of the available functionalities which are worth to mention are the | |
| following: random rotations; affine and perspective transformations; several random color intensities transformations, | |
| image noise distortion, motion blurring, and many of the different differentiable data augmentation policies. | |
| In addition, we include a novel feature which is not found in other augmentations frameworks, | |
| which allows the user to retrieve the applied transformation or chained transformations after each | |
| call e.g. the generated random rotation matrix which can be used later to undo the image transformation | |
| itself, or to be applied to additional metadata such as the label images for semantic segmentation, | |
| in bounding boxes or landmark keypoints for object detection tasks. It gives the user the flexibility to | |
| perform complex data augmentations pipelines. | |
| .. currentmodule:: kornia.augmentation | |
| .. toctree:: | |
| augmentation.base | |
| augmentation.module | |
| augmentation.container | |