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There seems to be an error or offset 3d GT pose on the H36M test set

See original GitHub issue

Hi, @mks0601

Thanks for your excellent work and code.

However, when I check the fitting results on the H36M test set (S9 & S11), it seems that there are several samples that have totally wrong or somewhat offset 3d joints joint_cam, and therefore have wrong mesh mesh_cam. E.g., could you please double-check this sample: data/Human36M/images/s_09_act_05_subact_02_ca_02/s_09_act_05_subact_02_ca_02_001201.jpg its joint_cam looks wrong below. and its mesh_cam also is wrong below.

So could you please help me double-check?

Also, there are some other samples, like data/Human36M/images/s_09_act_05_subact_02_ca_03/s_09_act_05_subact_02_ca_03_000501.jpg, the projected 2d joints seem to have offset, which may be related to the damaged scenes mentioned in “Learnable Triangulation of Human Pose” (ICCV 2019, oral)?

Thank you so much! Looking forward to your reply!

Issue Analytics

State:
Created 2 years ago
Comments:10 (5 by maintainers)

Top GitHub Comments

1reaction

mks0601commented, Jun 23, 2021

Good for you. If you are going to download images again from here, make sure to check md5sum

0reactions

ZOUKaifengcommented, Jul 27, 2021

Hello,

Please allow me to raise a question that is not related to your question. I want to know if your data set is downloaded from google drive. If so, I want to know how you unzip. I always encountered the error “does not look like a tar archive”. I would be grateful if I could get a reply.

Thank you!

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