Thanks for your contribution for the shape analysis with the deep learning concepts,bu

about scape_remsh dataset,about lix-shape-analysis/surfmnet

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LIX-shape-analysis commented on July 21, 2024

Hi. Thank you for your interest. Indeed, as far as I'm aware most versions of the SCAPE dataset have mesh051 missing. For instance, the Blended intrinsic maps benchmark: http://www.vovakim.com/projects/CorrsBlended/doc_data.html also does not contain mesh051. I'm not sure why, but perhaps there was an error in that particular mesh? We did not have this mesh in any of the datasets.

…

On Tue, 29 Oct 2019 at 12:00, zjlsuccess ***@***.***> wrote: Thanks for your contribution for the shape analysis withe deep learning,but when i check the scape_remesh dataset,i find the mesh051 is lost.can you upload it again? thanks for your reply. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#1?email_source=notifications&email_token=AEB4G5B345WCWRCX5G24KD3QQ6RNXA5CNFSM4JGCX5Y2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HU54PVQ>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AEB4G5ANNAMI7UHJV3ON3SDQQ6RNXANCNFSM4JGCX5YQ> .

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zjisuccess commented on July 21, 2024

thanks for your reply in time.how do you try the visualization of the test results?when i visualize it,but it is terrible.

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Not-IITian commented on July 21, 2024

Hi,

there is a separate matlab code for reproducing the avg. geodesic plots and also visualizing the matches. We will upload it in couple of days along with the ground truth. Feel free to create a separate issue for that.

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