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Wrong shape error with Lidar point cloud #980
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@harborsarah I think the first blob contains the first 85 scenes, the second blob contains the next 85 scenes and so on We can then do a quick calculation like so: from nuscenes.utils.splits import create_splits_scenes
splits_scenes = create_splits_scenes()
trainvaltest_scenes = sorted(list(set(scenes['train'] + scenes['val'] + scenes['test'])))
print(trainvaltest_scenes.index('scene-0710') // 85) So my guess is that scene 710 is in part 7 |
okay, I see. Now I know how it works. But it might be in part 8 :) |
Oh yes, you are right - it is probably in part 8 (since I wrote the code with 0-indexing in mind 😅) |
Haha yes. Anyway, I hope this will solve the problem. Thanks for your time XD |
Hi,
![image](https://private-user-images.githubusercontent.com/65909204/267312956-51c2a8df-b4eb-4476-8cdb-a1b485f3755e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.uyLLiY3qqDv45rGXp1srz_weO894IxwqQGSaZpXBk64)
Could you tell me which part here contains data for scene 710?
When I try to load lidar points for this scene, this error always appears,
ValueError: cannot reshape array of size 32768 into shape (5)
I checked other issues and you said this might happen because the data is corrupted.
Thanks a lot for your help. It might also be nice if there is a way for only downloading the data for this specific scene.
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