ee64b4dea622ed7f0de85139a2a00c340b8d0508,kornia/geometry/conversions.py,,convert_affinematrix_to_homography,#Any#,120

Before Change

        raise ValueError("Input matrix must be a Bx2x3 tensor. Got {}"
                         .format(A.shape))
    H: torch.Tensor = torch.nn.functional.pad(A, [0, 0, 0, 1], "constant", value=0.)
    H[..., -1, -1] += 1.0
    return H


def convert_affinematrix_to_homography3d(A: torch.Tensor) -> torch.Tensor:
    rFunction that converts batch of affine matrices from [Bx3x4] to [Bx4x4].

After Change

    if not (len(A.shape) == 3 and A.shape[-2:] == (2, 3)):
        raise ValueError("Input matrix must be a Bx2x3 tensor. Got {}"
                         .format(A.shape))
    return _convert_affinematrix_to_homography_impl(A)


def convert_affinematrix_to_homography3d(A: torch.Tensor) -> torch.Tensor:
    rFunction that converts batch of affine matrices from [Bx3x4] to [Bx4x4].

Instances