_marker_gui.py 文件源码

python
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项目:decoding_challenge_cortana_2016_3rd 作者: kingjr 项目源码 文件源码
def _get_points(self):
        # in case only one or no source is enabled
        if not (self.src1 and self.src1.enabled):
            if (self.src2 and self.src2.enabled):
                return self.src2.points
            else:
                return np.zeros((5, 3))
        elif not (self.src2 and self.src2.enabled):
            return self.src1.points

        # Average method
        if self.method == 'Average':
            if len(np.union1d(self.src1.use, self.src2.use)) < 5:
                error(None, "Need at least one source for each point.",
                      "Marker Average Error")
                return np.zeros((5, 3))

            pts = (self.src1.points + self.src2.points) / 2.
            for i in np.setdiff1d(self.src1.use, self.src2.use):
                pts[i] = self.src1.points[i]
            for i in np.setdiff1d(self.src2.use, self.src1.use):
                pts[i] = self.src2.points[i]

            return pts

        # Transform method
        idx = np.intersect1d(self.src1.use, self.src2.use, assume_unique=True)
        if len(idx) < 3:
            error(None, "Need at least three shared points for trans"
                  "formation.", "Marker Interpolation Error")
            return np.zeros((5, 3))

        src_pts = self.src1.points[idx]
        tgt_pts = self.src2.points[idx]
        est = fit_matched_points(src_pts, tgt_pts, out='params')
        rot = np.array(est[:3]) / 2.
        tra = np.array(est[3:]) / 2.

        if len(self.src1.use) == 5:
            trans = np.dot(translation(*tra), rotation(*rot))
            pts = apply_trans(trans, self.src1.points)
        elif len(self.src2.use) == 5:
            trans = np.dot(translation(* -tra), rotation(* -rot))
            pts = apply_trans(trans, self.src2.points)
        else:
            trans1 = np.dot(translation(*tra), rotation(*rot))
            pts = apply_trans(trans1, self.src1.points)
            trans2 = np.dot(translation(* -tra), rotation(* -rot))
            for i in np.setdiff1d(self.src2.use, self.src1.use):
                pts[i] = apply_trans(trans2, self.src2.points[i])

        return pts
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