o oi;.@sxddlmZmZmZmZddlmZddlmZddl m Z m Z ddl m Z ddlmZddlmZGdd d eZd S) )AnyDictOptionalTuple)RigidAffineAugmentationBase2D)Resample)Tensor as_tensor)Boxes) Keypoints_torch_inverse_castc @seZdZdZ  d,dedeeefdeedee e e fdef dd Z dedefd d Z d,ded eeeefdeeeefdefd dZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeedef ddZ d-ded eeefdeeefdeededef d d!Z d-ded eeefdeeefdeededef d"d#Z d-ded eeefdeeefdeededef d$d%Z d-ded eeefdeeefdeededef d&d'Z d-ded eeefdeeefdeededef d(d)Zd-ded eeeefdedefd*d+ZdS).GeometricAugmentationBase2DaTGeometricAugmentationBase2D base class for customized geometric augmentation implementations. Args: p: probability for applying an augmentation. This param controls the augmentation probabilities element-wise for a batch. p_batch: probability for applying an augmentation to a batch. This param controls the augmentation probabilities batch-wise. same_on_batch: apply the same transformation across the batch. keepdim: whether to keep the output shape the same as input ``True`` or broadcast it to the batch form ``False``. Ninputflags transformsizereturncCst)zIBy default, the exact transformation as ``apply_transform`` will be used.)NotImplementedError)selfrrrrrZ/home/ubuntu/.local/lib/python3.10/site-packages/kornia/augmentation/_2d/geometric/base.pyinverse_transform*z-GeometricAugmentationBase2D.inverse_transformcCst|S)z?Compute the inverse transform of given transformation matrices.r )rrrrrcompute_inverse_transformation4sz:GeometricAugmentationBase2D.compute_inverse_transformationparamscCsh|dur|jn|}|dur||||}n|jdur(||j}||||}n|j}t||j|jdS)zObtain transformation matrices. Return the current transformation matrix if existed. Generate a new one, otherwise. N)devicedtype)rgenerate_transformation_matrixtransform_matrixforward_parametersshaper rrrrrrrrrrget_transformation_matrix8s  z5GeometricAugmentationBase2D.get_transformation_matrixcC|S)zMProcess masks corresponding to the inputs that are no transformation applied.rr"rrrapply_non_transform_maskIz4GeometricAugmentationBase2D.apply_non_transform_maskcCsBd|vr|d}td|d<|||||}|dur||d<|S)zProcess masks corresponding to the inputs that are transformed. Note: Convert "resample" arguments to "nearest" by default. resamplenearestN)rgetapply_transform)rrrrrresample_methodoutputrrrapply_transform_maskOs z0GeometricAugmentationBase2D.apply_transform_maskcCr$)zMProcess boxes corresponding to the inputs that are no transformation applied.rr"rrrapply_non_transform_boxar&z3GeometricAugmentationBase2D.apply_non_transform_boxcC:|dur|jdur td|j}|||||}||S)z?Process boxes corresponding to the inputs that are transformed.NRNo valid transformation matrix found. Please either pass one or forward one first.)r RuntimeErrorr.transform_boxes_r"rrrapply_transform_boxg   z/GeometricAugmentationBase2D.apply_transform_boxcCr$)zQProcess keypoints corresponding to the inputs that are no transformation applied.rr"rrrapply_non_transform_keypointrr&z8GeometricAugmentationBase2D.apply_non_transform_keypointcCr/)zCProcess keypoints corresponding to the inputs that are transformed.Nr0)rr1r5transform_keypoints_r"rrrapply_transform_keypointxr4z4GeometricAugmentationBase2D.apply_transform_keypointcCr$)zRProcess class tags corresponding to the inputs that are no transformation applied.rr"rrrapply_non_transform_classr&z5GeometricAugmentationBase2D.apply_non_transform_classcCr$)zDProcess class tags corresponding to the inputs that are transformed.rr"rrrapply_transform_classr&z1GeometricAugmentationBase2D.apply_transform_classkwargsc Ks||}|}|d}|dk} |j|dur|jn||fi|\}}d} d|vr8|d} | d| df} | s@|}|S| rO|j|||| d}|S|j|| |dur\|| n|| |d|| <|S)N batch_prob?forward_input_shape)rrr)rrr)transform_tensorclone#_process_kwargs_to_params_and_flags_paramstolistanyallr) rrrrrr: in_tensorr,r;to_applyr_sizerrrinverse_inputss4     z*GeometricAugmentationBase2D.inverse_inputscKsNd}d|vr|d}td|d<|j||||fi|}|dur%||d<|S)Nr'r()rr)rJ)rrrrrr:r+r,rrr inverse_maskssz)GeometricAugmentationBase2D.inverse_masksc Ks|}|d}|dk}|durtd|j|dur|jn||fi|\}}|s/|}|S|r:||}|S||||||<|S)Nr;r<)`transform` has to be a tensor. Got None.)rAr1rBrCrErFr2 rrrrrr:r,r;rHrrr inverse_boxess$  z)GeometricAugmentationBase2D.inverse_boxesc Ks|}|d}|dk}|durtd|j|dur|jn||fi|\}}|s/|}|S|r:||}|S||||||<|S)aAInverse the transformation on keypoints. Args: input: input keypoints tensor or object. params: the corresponding parameters for an operation. flags: static parameters. transform: the inverse transformation matrix kwargs: additional arguments r;r<NrL)rAr1rBrCrErFr6rMrrrinverse_keypointss$  z-GeometricAugmentationBase2D.inverse_keypointscKr$Nr)rrrrrr:rrrinverse_classes rz+GeometricAugmentationBase2D.inverse_classesc Ks|j}||}|j|dur|jn||jfi|\}}|dur#|j}|j|||d}||}|||||}|jrA| ||S|S)a*Perform inverse operations. Args: input: the input tensor. params: the corresponding parameters for an operation. If None, a new parameter suite will be generated. **kwargs: key-value pairs to override the parameters and flags. N)rr) r!r@rBrCrr#rrJkeepdimtransform_output_tensor) rrrr: input_shaperGrrr,rrrinverses    z#GeometricAugmentationBase2D.inverse)NNrP)__name__ __module__ __qualname____doc__rrstrrrrintrrr#r%r-r r.r3r r5r7r8r9rJrKrNrOrQrUrrrrrs                                  +      #   -   , rN)typingrrrrkornia.augmentation._2d.baserkornia.constantsr kornia.corerr kornia.geometry.boxesr kornia.geometry.keypointsr kornia.utils.helpersr rrrrrs