prbonn / mapmos Goto Github PK

May I ask the dependencies for pydantic? I met several problems from pydantic

File "/home/spacex/miniconda3/envs/LiDAR-MOS/lib/python3.7/site-packages/pydantic/main.py", line 719, in __setattr__
    if self.__pydantic_private__ is None or name not in self.__private_attributes__:
  File "/home/spacex/miniconda3/envs/LiDAR-MOS/lib/python3.7/site-packages/pydantic/main.py", line 699, in __getattr__
    pydantic_extra = object.__getattribute__(self, '__pydantic_extra__')
AttributeError: __pydantic_extra__

Hi, benemer!
I would like to know how to use the nuscenes dataset for validation because I'm not familiar with it. How should I set up the "sequence" parameter?

hi, thanks for your excellent work!
may I ask if you have done any preprocessing when testing on apollo or kitti-tracking datasets? since I checked Apollo's LiDAR data and found that its intensity > 1, which seems very inconsistent with the semanticKITTI's training data

Hello author, I feel that you are such an excellent open source project. But I didn't understand a few problems during the operation according to your instructions (because I'm new to python and I'm not very familiar with python). As the title says, can you give an example to illustrate how this script works, and what are the meanings of the last two parameters? I downloaded the pre-trained model, this compressed file is a .ckpt file, but which one to use as the first parameter after decompression? Does it refer to the file data.pkl? The data folder after decompression of the second parameter "/path/to/data" mapmos.ckpt?
in fact,i have a error problem
File "/home/seu_wx/.conda/envs/torch190/bin/mapmos_pipeline", line 5, in
from mapmos.cli import app
File "", line 983, in _find_and_load
File "", line 967, in _find_and_load_unlocked
File "", line 677, in _load_unlocked
File "", line 724, in exec_module
File "", line 859, in get_code
File "", line 916, in get_data
FileNotFoundError: [Errno 2] No such file or directory: '/home/seu_wx/star_work/test/MapMOS/src/mapmos/init.py'

Hi authors, thanks for your impressive job! Could you please provide the labeled nuScenes validation data, or can you explain how to label the dataset? This would be helpful for me to follow your work. Thanks and best regards.

Hello dear author, recently I was planning to use the apollo dataset you released specifically for MOS, I downloaded the dataset directly, but I get an error when I use the dataset directly on the MotionSeg3D, how to use the dataset correctly?

hi, sorry to bother you again.
I would like to understand why MapMOS performs well on the validation (with the iou of 86.1%) of SemanticKITTI but experiences a significant drop in performance on the test (with the iou of 66.0%) as reported in the paper. From my understanding, other methods do not exhibit such a large discrepancy. Could this difference be attributed to KISS-ICP?

Thanks for the fantastic and exhaustive work.
In Table II, are the results proposed with a model trained on the train split (00->07, 09, 10) or on the trainval split (00->10) as it is often used for benchmark submissions ?

Best,

Jules