About H36M

[sta105]

Thank you for providing the code. In your paper you tested your network on H36M dataset, however, the definitions of 2d poses in H36M and SURREAL are different, for SURREAL joints are defined based on SMPL model(24 joints), however, there are 32 joints in H36M dataset.

So, since your network requires 2d heatmap as input, how did you obtain the 2d joints(24 joints) of H36M? Did you just use any off-the-shelf networks to detect 2d keypoints? If so, could you tell me which work you used?

Thanks alot:)

[htung0101]

Hi, I used the oculus open pose package. As I remember, the number of joints are different, so you need a function to convert one to the other. some joints are correspond to each other.

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On Wed, Jul 24, 2019 at 5:31 AM Sicong Tang ***@***.***> wrote: Thank you for providing the code. In your paper you tested your network on H36M dataset, however, the definitions of 2d poses in H36M and SURREAL are different, for SURREAL joints are defined based on SMPL model(24 joints), however, there are 32 joints in H36M dataset. So, since your network requires 2d heatmap as input, how did you obtain the 2d joints(24 joints) of H36M? Did you just use any off-the-shelf networks to detect 2d keypoints? If so, could you tell me which work you used? Thanks alot:) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#4?email_source=notifications&email_token=ABSWDFDTBHQYIFWZGH4IKTDQBAOOLA5CNFSM4IGOCKK2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HBE3LWA>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABSWDFE64BKNRIK3US7DQ53QBAOOLANCNFSM4IGOCKKQ> .

[sta105]

Hi, I used the oculus open pose package. As I remember, the number of joints are different, so you need a function to convert one to the other. some joints are correspond to each other.
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On Wed, Jul 24, 2019 at 5:31 AM Sicong Tang @.***> wrote: Thank you for providing the code. In your paper you tested your network on H36M dataset, however, the definitions of 2d poses in H36M and SURREAL are different, for SURREAL joints are defined based on SMPL model(24 joints), however, there are 32 joints in H36M dataset. So, since your network requires 2d heatmap as input, how did you obtain the 2d joints(24 joints) of H36M? Did you just use any off-the-shelf networks to detect 2d keypoints? If so, could you tell me which work you used? Thanks alot:) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#4?email_source=notifications&email_token=ABSWDFDTBHQYIFWZGH4IKTDQBAOOLA5CNFSM4IGOCKK2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HBE3LWA>, or mute the thread https://github.com/notifications/unsubscribe-auth/ABSWDFE64BKNRIK3US7DQ53QBAOOLANCNFSM4IGOCKKQ .

Openpose only estimates 16 joints, and for some occlusion cases openpose won't show all the joints. If it is possible, could you shared the function you used? Thank you so much:)