chore: add warning message for https://github.com/tier4/AWMLdataset/issues/125

[kminoda]

Description

Add warning message for https://github.com/tier4/AWMLdataset/issues/125

How to review

Not applicable

How to test

Not applicable

Sample output with my local rosbag

frame472, stamp = 1698032458.2372313, diff cam - lidar = 0.061 sec                                                                                                                                                 
frame472, image stamp: 1698032458.2372313                                                                                                                                                                          
!!!WARNING!!! Please consider specifying `num_load_frames` with smaller size than 473 in config file. See also: https://github.com/tier4/AWMLdataset/issues/125                                                    
Traceback (most recent call last):                                                                                                                                                                                 
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main                                                                                                                                            
    return _run_code(code, main_globals, None,                                                           
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code                                             
    exec(code, run_globals)                                                                                                                                                                                        
  File "/home/minoda/ghq/github.com/tier4/AWMLDataset/awml_dataset/convert.py", line 199, in <module>                                                                                                              
    main()                                                                                                                                                                                                         
  File "/home/minoda/ghq/github.com/tier4/AWMLDataset/awml_dataset/convert.py", line 115, in main                                                                                                                  
    converter.convert()                                                                                                                                                                                            
  File "/home/minoda/.cache/pypoetry/virtualenvs/awml-dataset-7loCTFrj-py3.10/lib/python3.10/site-packages/perception_dataset/rosbag2/rosbag2_to_non_annotated_t4_converter.py", line 96, in convert               
    bag_converter.convert()                                                                                                                                                                                        
  File "/home/minoda/.cache/pypoetry/virtualenvs/awml-dataset-7loCTFrj-py3.10/lib/python3.10/site-packages/perception_dataset/rosbag2/rosbag2_to_non_annotated_t4_converter.py", line 233, in convert              
    self._convert()                                                                                                                                                                                                
  File "/home/minoda/.cache/pypoetry/virtualenvs/awml-dataset-7loCTFrj-py3.10/lib/python3.10/site-packages/perception_dataset/rosbag2/rosbag2_to_non_annotated_t4_converter.py", line 297, in _convert             
    self._convert_sensor_data(sensor_channel_to_sample_data_token_list, scene_token)                                                                                                                               
  File "/home/minoda/.cache/pypoetry/virtualenvs/awml-dataset-7loCTFrj-py3.10/lib/python3.10/site-packages/perception_dataset/rosbag2/rosbag2_to_non_annotated_t4_converter.py", line 356, in _convert_sensor_data 
    sensor_channel_to_sample_data_token_list[sensor_channel] = self._convert_image(                                                                                                                                
  File "/home/minoda/.cache/pypoetry/virtualenvs/awml-dataset-7loCTFrj-py3.10/lib/python3.10/site-packages/perception_dataset/rosbag2/rosbag2_to_non_annotated_t4_converter.py", line 604, in _convert_image       
    sample_record: SampleRecord = sample_records[frame_index]                                                                                                                                                      
IndexError: list index out of range   

Reference

https://github.com/tier4/AWMLdataset/issues/125

Notes for reviewer

Not applicable

[Shin-kyoto]

• Thanks to this PR, I can understand which parameter I should change when I get the problem with rosbag -> non annotated dataset conversion. This PR is super helpful.
• However, there is an issue that requires changing num_load_frames for each rosbag.
  • e.g. For one rosbag, num_load_frames must be 597 or less, and for another rosbag, it must be 594 or less.
• The converter in AWMLdataset is designed to process all rosbags in a directory at once, but due to this issue, there is a need to convert each rosbag one by one.

[kminoda]

True, thanks!
(Anyway this is a draft PR so will update when I make this open)