point_radius=50,

max_angle=4,
extend=25,
merge_th=80.0,
min_missing_distance=1000.0,
scale_estimation_coefficient=2.54,
clustering_eps=150,
interpolation_radius=10000,
point_radius_scale=0.5,
# dist_coeff=0,
pointcloud_depth_coeff=1.005,

script.py

@@ -142,8 +142,8 @@ if __name__ == "__main__":
             results = []
             for i, sample in enumerate(batch):
                 results.append(pool.submit(predict, sample,
-                                           point_radius=45,
-                                           max_angle=15,
+                                           point_radius=50,
+                                           max_angle=4,
                                            extend=25,
                                            merge_th=80.0,
                                            min_missing_distance=1000.0,