This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
MIT License
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HrHRNet seems to need much time for training 300 epochs if using 1 GPU #109
When I train the source code with one GPU of TitanX which does not have distributed training, I calculate that the training for 300 epochs at least takes 25.5days. Do you have suggestions that make it faster? I would be very appreciate if you could response me.
Hi authors,
When I train the source code with one GPU of TitanX which does not have distributed training, I calculate that the training for 300 epochs at least takes 25.5days. Do you have suggestions that make it faster? I would be very appreciate if you could response me.
Thanks~~