<commit_before>from warnings import warn

from numpy import array, nonzero, zeros
from numpy.linalg import lstsq  # , inv


class ModelFitter:
    """Abstract class for Face fitting procedure.

    Should call Face rendering and wait for response.
    """
    def __init__(self, image, dimensions=199, model=None, initial=None,
                 initial_face=None):
        """Initializes fitter for given image.

        Fits provided number of dimensions of given model to the image.
        """
        self.__image = array(image)
        self.__model = model
        self._dimensions = dimensions

        self._initial = initial
        if self._initial is None:
            self._initial = zeros(self._dimensions, dtype='f')
        else:
            warn('Use initial_face instead of initial coefficients',
                 DeprecationWarning)
        self._initial_face = initial_face

    def estimate_light(self, normals):
        """Estimates light parameters to the image with given normal vectors.

        Light parameters contain vector of directed light
        and intensity of ambient light.
        """
        warn('New shadows model', DeprecationWarning)
        indices = nonzero(normals[:, 3])

        N = normals[indices]
        Y = self.__image[indices]

        N_x = N[:, 0]
        N_y = N[:, 1]
        N_z = N[:, 2]

        y_x = Y.dot(N_x)
        y_y = Y.dot(N_y)
        y_z = Y.dot(N_z)

        n_x = N_x.sum()
        n_y = N_y.sum()
        n_z = N_z.sum()

        n_xx = N_x.dot(N_x)
        n_xy = N_x.dot(N_y)
        n_xz = N_x.dot(N_z)
        n_yy = N_y.dot(N_y)
        n_yz = N_y.dot(N_z)
        n_zz = N_z.dot(N_z)<commit_msg>Moved deprecation message in Model Fitter to right place<commit_after>from warnings import warn

from numpy import array, nonzero, zeros
from numpy.linalg import lstsq  # , inv


class ModelFitter:
    """Abstract class for Face fitting procedure.

    Should call Face rendering and wait for response.
    """
    def __init__(self, image, dimensions=199, model=None, initial=None,
                 initial_face=None):
        """Initializes fitter for given image.

        Fits provided number of dimensions of given model to the image.
        """
        self.__image = array(image)
        self.__model = model
        self._dimensions = dimensions

        self._initial = initial
        if self._initial is None:
            warn('Use initial_face instead of initial coefficients',
                 DeprecationWarning)
            self._initial = zeros(self._dimensions, dtype='f')
        else:
            self._initial_face = initial_face

    def estimate_light(self, normals):
        """Estimates light parameters to the image with given normal vectors.

        Light parameters contain vector of directed light
        and intensity of ambient light.
        """
        warn('New shadows model', DeprecationWarning)
        indices = nonzero(normals[:, 3])

        N = normals[indices]
        Y = self.__image[indices]

        N_x = N[:, 0]
        N_y = N[:, 1]
        N_z = N[:, 2]

        y_x = Y.dot(N_x)
        y_y = Y.dot(N_y)
        y_z = Y.dot(N_z)

        n_x = N_x.sum()
        n_y = N_y.sum()
        n_z = N_z.sum()

        n_xx = N_x.dot(N_x)
        n_xy = N_x.dot(N_y)
        n_xz = N_x.dot(N_z)
        n_yy = N_y.dot(N_y)
        n_yz = N_y.dot(N_z)
        n_zz = N_z.dot(N_z)
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