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Hi, thanks for the excellent work! But I have a question about training the model.
I try to flow the instruction and PyMAF's trainging guide to reimplement PyMAF-X' s training, but got to find the training procedure is very slow.
Some paras are as below:
NUM_WORKERS: 8BAYCH_SIZE: 32
Ubder this circumanstence, the sigle epoch will take 90 mins
I didn't change any other parameters yet, I wonder I missed somthing or this procedure is just really slow.
The GPU I use for training is RTX4090, training on pose_resnet pretrained model and the base dataset is h36m-p2
The text was updated successfully, but these errors were encountered:
Hi, thanks for the excellent work! But I have a question about training the model. I try to flow the instruction and PyMAF's trainging guide to reimplement PyMAF-X' s training, but got to find the training procedure is very slow. Some paras are as below:
NUM_WORKERS: 8BAYCH_SIZE: 32
Ubder this circumanstence, the sigle epoch will take 90 mins I didn't change any other parameters yet, I wonder I missed somthing or this procedure is just really slow. The GPU I use for training is RTX4090, training on pose_resnet pretrained model and the base dataset is h36m-p2
Hi, thanks for the excellent work! But I have a question about training the model.
I try to flow the instruction and PyMAF's trainging guide to reimplement PyMAF-X' s training, but got to find the training procedure is very slow.
Some paras are as below:
Ubder this circumanstence, the sigle epoch will take 90 mins
I didn't change any other parameters yet, I wonder I missed somthing or this procedure is just really slow.
The GPU I use for training is RTX4090, training on pose_resnet pretrained model and the base dataset is h36m-p2
The text was updated successfully, but these errors were encountered: