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chaneyddtt / Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network

Code for our CVPR2019 paper: Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
MIT License
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training time #8

Open angechen opened 4 years ago

angechen commented 4 years ago

In order to confirm whether the hardware conditions of my laboratory are sufficient, I would like to ask how long does it take to complete the training of the network, how many gpus have been used, and what is the configuration of the GPU.

chaneyddtt commented 4 years ago

Hi @angechen, The average time for each forward step is around 13ms on 1080Ti GPU when the number of Gaussian kernels is five.