msaf/algorithms/fmc2d/segmenter.py
def processFlat(self):
        """Main process.
        Returns
        -------
        est_idx : np.array(N)
            Estimated indeces for the segment boundaries in frames.
        est_labels : np.array(N-1)
            Estimated labels for the segments.
        """
        # Preprocess to obtain features, times, and input boundary indeces
        F = self._preprocess()

        # Normalize
        F = U.normalize(F, norm_type=self.config["label_norm_feats"],
                        floor=self.config["label_norm_floor"],
                        min_db=self.config["label_norm_min_db"])

        # Find the labels using 2D-FMCs
        est_labels = compute_similarity(F, self.in_bound_idxs,
                                        dirichlet=self.config["dirichlet"],
                                        xmeans=self.config["xmeans"],
                                        k=self.config["k"],
                                        offset=self.config["2dfmc_offset"])

        # Post process estimations
        self.in_bound_idxs, est_labels = self._postprocess(self.in_bound_idxs,
                                                           est_labels)

        return self.in_bound_idxs, est_labels
def processFlat(self):
        """Main process.
        Returns
        -------
        est_idx : np.array(N)
            Estimated indeces for the segment boundaries in frames.
        est_labels : np.array(N-1)
            Estimated labels for the segments.
        """
        # Preprocess to obtain features, times, and input boundary indeces
        F = self._preprocess()

        # Normalize
        F = U.normalize(F, norm_type=self.config["label_norm_feats"],
                        floor=self.config["label_norm_floor"],
                        min_db=self.config["label_norm_min_db"])

        # Find the labels using 2D-FMCs
        est_labels = compute_similarity(F, self.in_bound_idxs,
                                        dirichlet=self.config["dirichlet"],
                                        xmeans=self.config["xmeans"],
                                        k=self.config["k"],
                                        offset=self.config["2dfmc_offset"])

        # Post process estimations
        self.in_bound_idxs, est_labels = self._postprocess(self.in_bound_idxs,
                                                           est_labels)

        return self.in_bound_idxs, est_labels
Main process.
        Returns
        -------
        est_idx : np.array(N)
            Estimated indeces for the segment boundaries in frames.
        est_labels : np.array(N-1)
            Estimated labels for the segments.