+ python -m lidar_slam --result /working/result.json --no-model /working/21a10128-0199-4c0d-b7e5-92770933550c
Lidar SLAM 0.0.22
=====================================================
 The recording path: /working/21a10128-0199-4c0d-b7e5-92770933550c
 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 0.001566019
Adjusted end_distance from 9.223372036854776e+18 to 775.201566019
Slamming from 0.001566019 to 775.201566019 meters!
 -=-=-> Lidar cleaning parameters file not found.
 --> Creating a generic default one.
Traceback (most recent call last):
  File "/app/lidar_slam/__main__.py", line 202, in main
    desired_box, undesired_box = ManiTools.find_desired_boundaries(clean_param_file, lidar_track, lidar_zip)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/lidar_slam/tools/manipulation_tools.py", line 56, in find_desired_boundaries
    x_boundaries.append(find_start_end(current_frame[:, 0]))
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/lidar_slam/tools/manipulation_tools.py", line 33, in find_start_end
    smooth = np.convolve(np.diff(hists), kernel, mode="same")
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/numpy/_core/numeric.py", line 868, in convolve
    raise ValueError('v cannot be empty')
ValueError: v cannot be empty