# Copyright (c) 2016 Weitian LI # MIT license """ Generic drawers (a.k.a. painters) that draw some commonly used shapes. """ import numpy as np import numba as nb @nb.jit(nb.types.UniTuple(nb.int64[:], 2)(nb.types.UniTuple(nb.int64, 2), nb.types.UniTuple(nb.int64, 2), nb.types.UniTuple(nb.int64, 2)), nopython=True) def ellipse(center, radii, shape): """ Generate coordinates of pixels within the ellipse. XXX/NOTE -------- * Cannot figure out why ``nb.optional(nb.types.UniTuple(nb.int64, 2))`` does NOT work. Therefore, make ``shape`` as mandatory parameter instead of optional. Parameters ---------- center : int tuple (r0, c0) Center coordinate of the ellipse. radii : int tuple (r_radius, c_radius) Minor and major semi-axes. ``(r/r_radius)**2 + (c/c_radius)**2 <= 1``. shape : int tuple Image shape which is used to determine the maximum extent of output pixel coordinates. This is useful for ellipses that exceed the image size. If None, the full extent of the ellipse is used. Returns ------- rr, cc : int `~numpy.ndarray` Pixel coordinates of the ellipse. May be used to directly index into an array, e.g. ``img[rr, cc] = 1``. """ # XXX: ``numba`` currently does not support ``numpy.meshgrid`` nrow, ncol = shape r_lim = np.zeros((nrow, ncol)) for i in range(nrow): r_lim[i, :] = np.arange(float(ncol)) c_lim = np.zeros((nrow, ncol)) for i in range(ncol): c_lim[:, i] = np.arange(float(nrow)) r_o, c_o = center r_r, c_r = radii distances = (((r_lim-r_o) / r_r) * ((r_lim-r_o) / r_r) + ((c_lim-c_o) / c_r) * ((c_lim-c_o) / c_r)) r_idx, c_idx = np.nonzero(distances <= 1.0) return (r_idx, c_idx)