+ python -m lidar_slam --result /working/result.json --no-model /working/fcd02fe1-9212-441b-a72c-fc1790df9c53 Lidar SLAM 0.0.26 ===================================================== The recording path: /working/fcd02fe1-9212-441b-a72c-fc1790df9c53 The start distance for SLAM: 0.0 The end distance for SLAM: 9.223372036854776e+18 The step lidar is being SLAMMed with: 0.06 Using the pointcloud Registration only: False The Lidar frames will be flattened: False The centerline will be flattened: True The Lidar 2D slices will be flipped: True Correction angle of Lidar frames: 0.0 Show the detected centerline?: False Display the final 3D model?: False Making 2D slices out of SLAM model?: False Drop angle of 2D slices: 45.0 The number of points in 2D slices: 360 ===================================================== direction of movement: 1 downstream Adjusted start_distance from 0.0 to 0.014553574 Adjusted end_distance from 9.223372036854776e+18 to 362.274553574 Slamming from 0.014553574 to 362.274553574 meters! -=-=-> Lidar cleaning parameters file not found. --> Creating a generic default one. ===================================================== Averaging over 500 frames 0%| | 0/32 [00:00