U !?h@s@ddlZddlZddlmZeddddddZd d d ZdS) N)njitz>void(f8[:, :, :], f8, i8, f8[:, :, :], i8[:], i8[:], b1[:, :])T)cacheZnogilc3 Cs|j\}}} | dkstd|d} | | } t|D]} t|D]} | | |}|d|dd}t| d|| d|dD]t}t| d|| d|dD]P}|||}d|kr|krnn d|kr|krnn|||<|d7}qq|||d<q@q4td|dd|ddf}t|||D]}t|||D]}t|||||d||||dfrqJtdD]}d}t| D]8}t| D](}|||||||||f7}qqtd|dD]N}td|dD]6}||||||||f|| ||||f<qqq|}d}d}|}d}|}t| D]}t| D]}||||df|||df7}||||df|||df7}||||df|||df7}||||df|||df7}||||df|||df7}||||df|||df7}qjq^|| }|| }|| }|| }|| }|| }||||||||||||d|||} d| }!|||||!}"|||||!}#|||||!}$|||||!}%|||||!}&|||||!}'td|dD]}(td|dD]z})||(|)df}||(|)df}*||(|)df}+|"||#|*|$|+},|#||%|*|&|+}-|$||&|*|'|+}.td|dD]}/td|dD]}0||)|} ||(|} ||0|}||/|}| | |}|||}|,||/|0df|-||/|0df|.||/|0df}1||krxdndd|1| }2|| d|}|| d|}||||f|27<qqԐqLq6qJq6dS)Nrgg?)shapeAssertionErrorrangenpzerosall)3imageepsilonrvaluesindicesindptris_knownhwdsizeZ window_areayixiikZyjZxjjcyxZdcsZdyZdxZa00Za01Za02Za11Za12Za22ZdetZinv_detZm00Zm01Zm02Zm11Zm12Zm22ZdyiZdxituZc0c1c2ZdyjZdxjtempvaluer(R/var/www/html/venv/lib/python3.8/site-packages/pymatting/laplacian/cf_laplacian.py _cf_laplacians      "" 0  4   *$       (          r*Hz>rc Cs|j\}}}||}|dkr0tj||ftjd}|||}tj|dtjd}tj|d|ddtjd} tj|d|dd|dftjd} t|||| | ||tj | | |f||f} | S)a This function implements the alpha estimator for closed-form alpha matting as proposed by :cite:`levin2007closed`. Parameters ---------- image: numpy.ndarray Image with shape :math:`h\times w \times 3` epsilon: float Regularization strength, defaults to :math:`10^{-7}`. Strong regularization improves convergence but results in smoother alpha mattes. radius: int Radius of local window size, defaults to :math:`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. is_known: numpy.ndarray Binary mask of pixels for which to compute the laplacian matrix. Laplacian entries for known pixels will have undefined values. Returns ------- L: scipy.sparse.spmatrix Matting Laplacian N)Zdtyperrr) rr r Zbool_ZreshapeZint64Zfloat64r*scipysparseZ csr_matrixZravel) rrZradiusrrrrnrrrLr(r(r) cf_laplacians   &r0)r+rN)numpyr Z scipy.sparser,Znumbarr*r0r(r(r(r)s    ~