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Questions about the dataset #19

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Marigod98 opened this issue Jan 14, 2022 · 2 comments
Closed

Questions about the dataset #19

Marigod98 opened this issue Jan 14, 2022 · 2 comments

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@Marigod98
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Hi,
Thank you for the amazing work.just some questions about the dataset, I notice there are six groups in mvp_test_gt_%dpts.h5:
'complete_pcds', 'labels', 'normal', 'novel_complete_pcds', 'novel_labels', 'novel_normal'
I want to use the 'normal' data for some other tasks, so can you tell me how did you get 'normal', Is it same as the normal of shapenet dataset? and what does 'novel' mean? what is the difference between 'novel_complete_pcds' and 'complete_pcds'?
Thanks in advance.

@paul007pl
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paul007pl commented Jan 14, 2022

Hi, Thank you for the amazing work.just some questions about the dataset, I notice there are six groups in mvp_test_gt_%dpts.h5: 'complete_pcds', 'labels', 'normal', 'novel_complete_pcds', 'novel_labels', 'novel_normal' I want to use the 'normal' data for some other tasks, so can you tell me how did you get 'normal', Is it same as the normal of shapenet dataset? and what does 'novel' mean? what is the difference between 'novel_complete_pcds' and 'complete_pcds'? Thanks in advance.

Thanks for asking.
If I did not remember wrongly, the 'normal' data are obtained by using an Open3D function.
'complete' means complete point clouds for the first 8 categories, and 'novel_complete' means complete point clouds for the rest 8 categories. It is suggested to try another experiment setting, that is training with the first 8 category point clouds, and then evaluate on the rest 8 unseen (novel) categories.

@Marigod98
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thanks for your reply!

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