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Could you show the final tree of human3.6m dataset according to your processing code? #28

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Mirandl opened this issue Oct 11, 2022 · 4 comments

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@Mirandl
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Mirandl commented Oct 11, 2022

Hi, your work's so marvellous and I'm trying to realise your code. cause I have this processed dataset early before and I wonder if my data structure is totally the same as yours. So It will help me very very a lot if you can share the structure of your processed human3.6m dataset! Thank you and waiting for your reply

@syguan96
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Hi @Mirandl , thanks! You can refer to this script to see how I process Human3.6M.

Processed file looks like:
image

@Mirandl
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Mirandl commented Oct 12, 2022

Hi, thank you very much for your sharing! I notice that there's some difference in the way the dataset is handled between your BOA and DynaBOA. I mean that I notice the BOA's more abundant. Is it matter which way I choose to handle it?

@syguan96
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It doesn't matter. Human 3.6M is used to train the source model. During training, you need a bbox to crop input image, and SMPL annotation and 3D/2D keypoints as supervisions.

@Mirandl
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Mirandl commented Oct 12, 2022

okay I got it! Thank you so much~

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