o oi@sddlmZmZmZddlmZmZmZddlZddl m Z ddl m Z m Z mZddlmZddlmZddlmZGd d d e ZGd d d eZdS) )AnyDictOptional)float16float32float64N)_AugmentationBase)_transform_input3d_transform_input3d_by_shape_validate_input_dtype)Tensor)Boxes3D) Keypoints3Dc @sZeZdZdZdeddfddZdddded eed edefd d Zdedefd dZ dS)AugmentationBase3DaAugmentationBase3D base class for customized augmentation implementations. Args: p: probability for applying an augmentation. This param controls the augmentation probabilities element-wise for a batch. p_batch: probability for applying an augmentation to a batch. This param controls the augmentation probabilities batch-wise. same_on_batch: apply the same transformation across the batch. inputreturnNcCs6t|tttgdt|jdkrtd|jddS)z3Check if the input tensor is formatted as expected.accepted_dtypeszExpect (B, C, D, H, W). Got .N)r rrrlenshape RuntimeErrorselfrrP/home/ubuntu/.local/lib/python3.10/site-packages/kornia/augmentation/_3d/base.pyvalidate_tensor*sz"AugmentationBase3D.validate_tensorT)r match_channelrrcCs0t|tttgd|durt|St|||dS)zVConvert any incoming (D, H, W), (C, D, H, W) and (B, C, D, H, W) into (B, C, D, H, W).rN)reference_shaper)r rrrr r )rrrrrrrtransform_tensor0sz#AugmentationBase3D.transform_tensorcCs td|S)zReturn 4x4 identity matrix.)korniaeye_likerrrridentity_matrix8s z"AugmentationBase3D.identity_matrix) __name__ __module__ __qualname____doc__r rrboolr r$rrrrrs  &rc @seZdZUdZeeed<edeefddZdede e efde e e fdefd d Z dede e efde e e fdefd d Z ddede e efde e e fdeedef ddZ ddede e efde e e fdeedef ddZ ddede e efde e e fdeedef ddZ ddede e efde e e fdeedef ddZ ddede e efde e e fdeedef ddZ ddede e efdee e e fdefddZd S)RigidAffineAugmentationBase3DaAugmentationBase2D base class for rigid/affine augmentation implementations. RigidAffineAugmentationBase2D enables routined transformation with given transformation matrices for different data types like masks, boxes, and keypoints. Args: p: probability for applying an augmentation. This param controls the augmentation probabilities element-wise for a batch. p_batch: probability for applying an augmentation to a batch. This param controls the augmentation probabilities batch-wise. same_on_batch: apply the same transformation across the batch. keepdim: whether to keep the output shape the same as input ``True`` or broadcast it to the batch form ``False``. _transform_matrixrcCs|jSN)r+)rrrrtransform_matrixPsz.RigidAffineAugmentationBase3D.transform_matrixrparamsflagscCtr,NotImplementedError)rrr.r/rrrcompute_transformationTsz4RigidAffineAugmentationBase3D.compute_transformationcCsx|d}|dk}||}|s||}|S|r&|j|||d}|S||}||f|j||||d}|S)zIGenerate transformation matrices with the given input and param settings. batch_probg?)r.r/)r anyr$allr3 index_put)rrr.r/r4to_apply in_tensor trans_matrixrrrgenerate_transformation_matrixWs   zr@r rArrBrCrFrrrrr*=s  **                r*)typingrrrtorchrrrr"kornia.augmentation.baserkornia.augmentation.utilsr r r kornia.corer kornia.geometry.boxesr kornia.geometry.keypointsrrr*rrrrs