point_radius=15,

max_angle=5,
extend=25,
merge_th=100.0,
min_missing_distance=350.0,
scale_estimation_coefficient=2.54,

script.py

@@ -131,11 +131,11 @@ if __name__ == "__main__":
         for i, sample in enumerate(tqdm(dataset)):
             results.append(pool.submit(predict, sample,
                                        visualize=False,
-                                       point_radius=25,
-                                       max_angle=15,
-                                       extend=30,
+                                       point_radius=15,
+                                       max_angle=5,
+                                       extend=25,
                                        merge_th=100.0,
-                                       min_missing_distance=30000000.0,
+                                       min_missing_distance=350.0,
                                        scale_estimation_coefficient=2.54,
                                        clustering_eps=80,
                                        ))