+ python -m lidar_slam --result /working/result.json --no-model /working/cc565e2a-c168-462e-a9c1-b82429f904d4 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Created default flags file: /working/cc565e2a-c168-462e-a9c1-b82429f904d4/processing/data/lidarslam.flags =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Lidar SLAM 0.0.17 ===================================================== The recording path: /working/cc565e2a-c168-462e-a9c1-b82429f904d4 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 ICP: 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 ===================================================== Adjusted start_distance from 0.0 to 0.021052754 Adjusted end_distance from 9.223372036854776e+18 to 124.961052754 -=-=-> Lidar cleaning parameters file not found. --> Creating a generic default one. 0%| | 0/500 [00:00