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Published 20 hours ago • verified publisher icon nkolot

mpi_inf_3dhp preprocess

Open longbowzhang opened this issue 4 years ago • 1 comments

Hi, I just noticed that you use different annot3 dataset when you prepare the mpi_inf_3dhp train/test data. To be more specific, when dealing with the test data, you use univ_annot3 https://github.com/nkolot/SPIN/blob/277892a91e74af004c74457cd294bd102972f9b0/datasets/preprocess/mpi_inf_3dhp.py#L181 While for the train data, you use annot3 https://github.com/nkolot/SPIN/blob/277892a91e74af004c74457cd294bd102972f9b0/datasets/preprocess/mpi_inf_3dhp.py#L51 Is this a bug?

longbowzhang avatar Jul 01 '20 08:07 longbowzhang

Hi @longbowzhang @geopavlakos, Any news about this issue? It seems to decrease a lot the performance on MPII_INF_3DHP. If we use 'annot3' keypoints at test time the performance is: MPJPE:118.78 - PA-MPJPE:73.09.

fabienbaradel avatar Feb 26 '21 17:02 fabienbaradel