def transform_warp_impl(src: torch.Tensor, dst_pix_trans_src_pix: torch.Tensor,
dsize_src: Tuple[int, int], dsize_dst: Tuple[int, int],
grid_mode: str, padding_mode: str,
align_corners: bool) -> torch.Tensor:
"""Compute the transform in normalized coordinates and perform the warping.
"""
dst_norm_trans_src_norm: torch.Tensor = normalize_homography(
dst_pix_trans_src_pix, dsize_src, dsize_dst)
src_norm_trans_dst_norm = torch.inverse(dst_norm_trans_src_norm)
return homography_warp(src, src_norm_trans_dst_norm, dsize_dst, grid_mode,
padding_mode, align_corners, True)
def homography_warp(patch_src: torch.Tensor,
src_homo_dst: torch.Tensor,
dsize: Tuple[int, int],
mode: str = 'bilinear',
padding_mode: str = 'zeros',
align_corners: bool = False,
normalized_coordinates: bool = True) -> torch.Tensor:
__doc__ = HMW.homography_warp.__doc__
warnings.warn(
"`homography_warp` is deprecated and will be removed > 0.6.0."
"Please use `kornia.geometry.transform.homography_warp instead.`",
DeprecationWarning,
stacklevel=2)
return HMW.homography_warp(patch_src, src_homo_dst, dsize, mode,
padding_mode, align_corners,
normalized_coordinates)