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ChanglongJiangGit / A2J-Transformer

[CVPR 2023] Code for paper 'A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image'
Apache License 2.0
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Training time #8

Open HITKJ opened 1 year ago

HITKJ commented 1 year ago

Could you please provide a detailed description of the GPU used and training time? I am trying to reproduce your results. I set the batch_size to 24 and used dual 3090 GPUs for training. It cost 4.34h for one epoch. Is this reasonable?

liangshenglei commented 8 months ago

I have the same question，I don't know if it's my own problem，Hope to receive a response from the author！

ChanglongJiangGit commented 8 months ago

Hi, thanks for your attention! It is reasonable. Due to the InterHand2.6M dataset is really huge, the time cost is relatively large.