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How to get smpl parameters annotation in Human3.6M processing? #38

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Wuchuq opened this issue Feb 22, 2023 · 7 comments
Open

How to get smpl parameters annotation in Human3.6M processing? #38

Wuchuq opened this issue Feb 22, 2023 · 7 comments

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@Wuchuq
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Wuchuq commented Feb 22, 2023

Thank you for your work! But how to get the smpl annotation commented here in the preprocessing of human3.6M dataset
image

@hongsukchoi
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@Wuchuq

I uploaded the file with smpl param. So you can just uncomment the lines.
If you want the smpl param data before parsing, you can obtain them from the neural annot homepage.

@Wuchuq
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Wuchuq commented Feb 24, 2023

Thank you so much!

@Wuchuq
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Wuchuq commented Feb 24, 2023

I find that the smpl annotation is incomplete for all the frames. For act_01_subact_01, there are only 277 annotations available. But in the preprocessed human3.6M data you provided, the smpl parameters are available for all the frames. So is there any problems with the smpl_param file?
image

@hongsukchoi
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Hi,

I couldn't understand the question. Do you mean the smpl annotation from the NeuralAnnot homepage is incomplete?

@Wuchuq
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Wuchuq commented Feb 25, 2023

Yes, seems like the annotation is only for the frames after 5 times downsampling.

@hongsukchoi
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Got it. Normally image-based 3DHPSE methods use subsampled data, since the images are not much different in near frames. Human3.6M images are in 50Hz. So we released subsampled annotation for them in the NeuralAnnot homepage.

@Wuchuq
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Wuchuq commented Feb 26, 2023

Got it. Normally image-based 3DHPSE methods use subsampled data, since the images are not much different in near frames. Human3.6M images are in 50Hz. So we released subsampled annotation for them in the NeuralAnnot homepage.

Got it! Thanks.

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