o oi@sddlmZddlmZddlmZmZddlmm Z ddl m Z m Z ddlmZddlmZmZd d gZGd d d e ZGd d d eZdS) ) annotations)abstractmethod)AnyOptionalN)ModuleTensor)create_meshgrid)homography_warp warp_grid BaseWarperHomographyWarpercs<eZdZdfd d ZeddddZedddZZS)r heightintwidthargsrkwargsreturnNonecs"tj|i|||_||_dSN)super__init__rr)selfrrrr __class___/home/ubuntu/.local/lib/python3.10/site-packages/kornia/geometry/transform/homography_warper.pyr"s zBaseWarper.__init__N patch_srcr src_homo_dstOptional[Tensor]cCdSrr)rrrrrrforward'zBaseWarper.forwardcCr rrrrrrrprecompute_warp_grid*r"zBaseWarper.precompute_warp_grid) rrrrrrrrrrrrrrrrrrrrr)__name__ __module__ __qualname__rrr!r$ __classcell__rrrrr !s csLeZdZUdZded<    ddfdd ZdddZd d!ddZZS)"r a$Warp tensors by homographies. .. math:: X_{dst} = H_{src}^{\{dst\}} * X_{src} Args: height: The height of the destination tensor. width: The width of the destination tensor. mode: interpolation mode to calculate output values ``'bilinear'`` | ``'nearest'``. padding_mode: padding mode for outside grid values ``'zeros'`` | ``'border'`` | ``'reflection'``. normalized_coordinates: whether to use a grid with normalized coordinates. align_corners: interpolation flag. r _warped_gridbilinearzerosTFrrrmodestr padding_modenormalized_coordinatesbool align_cornersrrcs@t||||_||_||_||_t|||d|_d|_dS)N)r1) rrr.r0r1r3rgridr+)rrrr.r0r1r3rrrrBs  zHomographyWarper.__init__rrcCst|j||_dS)aCompute and store internally the transformations of the points. Useful when the same homography/homographies are reused. Args: src_homo_dst: Homography or homographies (stacked) to transform all points in the grid. Shape of the homography has to be :math:`(1, 3, 3)` or :math:`(N, 1, 3, 3)`. The homography assumes normalized coordinates [-1, 1] if normalized_coordinates is True. N)r r4r+r#rrrr$Vs z%HomographyWarper.precompute_warp_gridNrc Cs|j}|durt|||j|jf|j|j|j|jd}|S|durB|j|jks3t d|jd|jdt j |||j|j|jd}|St d)aWarp a tensor from source into reference frame. Args: patch_src: The tensor to warp. src_homo_dst: The homography or stack of homographies from destination to source. The homography assumes normalized coordinates [-1, 1] if normalized_coordinates is True. Return: Patch sampled at locations from source to destination. Shape: - Input: :math:`(N, C, H, W)` and :math:`(N, 3, 3)` - Output: :math:`(N, C, H, W)` Example: >>> input = torch.rand(1, 3, 32, 32) >>> homography = torch.eye(3).view(1, 3, 3) >>> warper = HomographyWarper(32, 32) >>> # without precomputing the warp >>> output = warper(input, homography) # NxCxHxW >>> # precomputing the warp >>> warper.precompute_warp_grid(homography) >>> output = warper(input) # NxCxHxW N)r.r0r3r1zDPatch and warped grid must be on the same device. Got patch.device: z warped_grid.device: zm. Whether recall precompute_warp_grid() with the correct device for the homograhy or change the patch device.)r.r0r3zUnknown warping. If homographies are not provided they must be preset using the method: precompute_warp_grid().) r+r rrr.r0r3r1device TypeErrorF grid_sample RuntimeError)rrrr+ warped_patchrrrr!es@   zHomographyWarper.forward)r,r-TF)rrrrr.r/r0r/r1r2r3r2rrr&rr%) r'r(r)__doc____annotations__rr$r!r*rrrrr .s  ) __future__rabcrtypingrrtorch.nn.functionalnn functionalr7 kornia.corerr kornia.utilsrimgwarpr r __all__r r rrrrs