# 3j*SSKJrJrJr SSKrSSjrg))grid_coordinatessparse_conv_matrixweights_to_laplacianNcURSSup#SU-S-n[X2[R"XD455n[ U5$)a>This function returns a Laplacian matrix with all weights equal to one. Parameters ---------- image: numpy.ndarray Image with shape :math:`h\times w \times 3` radius: int Radius of local window size, defaults to 1, i.e. only adjacent pixels are considered. The size of the local window is given as :math:`(2 r + 1)^2`, where :math:`r` denotes the radius. A larger radius might lead to violated color line constraints, but also favors further propagation of information within the image. Returns ------- L: scipy.sparse.spmatrix Matting Laplacian N)shapernponesr)imageradiusheightwidth window_sizeWs _/home/wildlama/miniconda3/lib/python3.13/site-packages/pymatting/laplacian/uniform_laplacian.pyuniform_laplacianr sE"KKOMFf*q.K5"'';2L*MNA  "")r)pymatting.util.utilrrrnumpyr rrrrs #r