+ python -m lidar_slam --result /working/result.json --no-model --slice-shift 5 /working/1bb993a0-b93c-4aa5-8124-5a5908af378b
Lidar SLAM 0.0.33
=====================================================
 The recording path: /working/1bb993a0-b93c-4aa5-8124-5a5908af378b
 The start distance for SLAM: 0.0
 The end distance for SLAM: 9.223372036854776e+18
 The step lidar is being SLAMMed with: 0.06
 The shift is applied to slicing: 150 mm
 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 upstream
Adjusted start_distance from 0.0 to 0.001357299
Adjusted end_distance from 9.223372036854776e+18 to 1208.961357299
Slamming from 0.001357299 to 1208.961357299 meters!
 -=-=-> Lidar cleaning parameters file not found.
 --> Creating a generic default one.
Not enough lidar frames (0) to estimate the X boundaries; falling back to (0.0, 0.0).
=====================================================
Averaging over 500 frames
Not enough lidar frames (0) to estimate the X boundaries; falling back to (0.0, 0.0).
Traceback (most recent call last):
  File "/app/lidar_slam/__main__.py", line 206, in main
    ref_shape, _ = find_shape_size(data_directory, lidar_track, clean_param_file, direction, num_frames=500)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/lidar_slam/tools/shape_size_finder.py", line 100, in find_shape_size
    frame_indices = np.linspace(10, num_all_frames - 10, num_frames)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/numpy/_core/function_base.py", line 123, in linspace
    raise ValueError(
ValueError: Number of samples, -20, must be non-negative.