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ika-rwth-aachen / MultiCorrupt

MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.
MIT License
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Generation Issues of LiDAR Data under Snowy Conditions #9

Open Neko-coffee opened 1 week ago

Neko-coffee commented 1 week ago

Hello, I'm trying to generate a dataset for snowy conditions and have encountered an issue while generating LiDAR data. I successfully generated the image data, but when generating the LiDAR data, I encountered the following error:

Traceback (most recent call last): File "/workspace/converter/lidar_converter.py", line 303, in l = list(tqdm(pool.imap(sweep_map, range(length)), total=length)) File "/usr/local/lib/python3.10/dist-packages/tqdm/std.py", line 1181, in iter for obj in iterable: File "/usr/lib/python3.10/multiprocessing/pool.py", line 873, in next raise value AssertionError: Table lidarseg not found

However, I have included the "lidarseg" folder in the directory. Could there be an issue with the path? PixPin_2024-06-26_16-24-04

TillBeemelmanns commented 2 days ago

It seems that you are using Windows. I have not tested the code on Windows. Can you try to debug/print the path for the lidarseg directory and check if there is something wrong ?

I have time to debug the problem earliest end of the week.

Best, Till