2209807ce8db8fe82eabbe6ca51e6370beea2934,kornia/feature/laf.py,,denormalize_laf,#Any#Any#,179

Before Change

        - Input: :math:`(B, N, 2, 3)`
        - Output:  :math:`(B, N, 2, 3)`
    
    n_dims = len(LAF.size())
    if (n_dims != 4):
        raise TypeError(
            "LAF shape should be must be [Nx2x3] or [BxNx2x3]. "
            "Got {}".format(LAF.size())
        )
    n, ch, h, w = images.size()
    w = float(w)
    h = float(h)
    min_size = min(h, w)

After Change

        - Input: :math:`(B, N, 2, 3)`
        - Output:  :math:`(B, N, 2, 3)`
    
    raise_error_if_laf_is_not_valid(LAF)
    n, ch, h, w = images.size()
    w = float(w)
    h = float(h)
    min_size = min(h, w)

Instances