| def __multiscale_gc_lo2hi_run(self): |
| """pass""" |
| self._msgc_lo2hi_resize_init() |
| self.__msgc_step0_init() |
| hard_constraints = self.__msgc_step12_low_resolution_segmentation() |
| seg = self.__msgc_step3_discontinuity_localization() |
| self.stats['t3.1'] = time.time() - self._start_time |
| graph = Graph(seg, voxelsize=self.voxelsize, nsplit=self.segparams['block_size'], edge_weight_table=self._msgc_npenalty_table, compute_low_nodes_index=True) |
| graph.generate_base_grid() |
| self.stats['t3.2'] = time.time() - self._start_time |
| graph.split_voxels() |
| self.stats['t3.3'] = time.time() - self._start_time |
| self.stats.update(graph.stats) |
| self.stats['t4'] = time.time() - self._start_time |
| mul_mask, mul_val = self.__msgc_tlinks_area_weight_from_low_segmentation(seg) |
| area_weight = 1 |
| unariesalt = self.__create_tlinks(self.img, self.voxelsize, self.seeds, area_weight=area_weight, hard_constraints=hard_constraints, mul_mask=None, mul_val=None) |
| self.stats['t5'] = time.time() - self._start_time |
| un, ind = np.unique(graph.msinds, return_index=True) |
| self.stats['t6'] = time.time() - self._start_time |
| self.stats['t7'] = time.time() - self._start_time |
| unariesalt2_lo2hi = np.hstack([unariesalt[ind, 0, 0].reshape(-1, 1), unariesalt[ind, 0, 1].reshape(-1, 1)]) |
| nlinks_lo2hi = np.hstack([graph.edges, graph.edges_weights.reshape(-1, 1)]) |
| if self.debug_images: |
| import sed3 |
| ed = sed3.sed3(unariesalt[:, :, 0].reshape(self.img.shape)) |
| ed.show() |
| import sed3 |
| ed = sed3.sed3(unariesalt[:, :, 1].reshape(self.img.shape)) |
| ed.show() |
| self.__msgc_step9_finish_perform_gc_and_reshape(nlinks_lo2hi, unariesalt2_lo2hi, graph.msinds) |
| self._msgc_lo2hi_resize_clean_finish() |
