Low GPU utilization and high CPU utilization about handpose HOT 15 CLOSED

Q1: We use online data augmentation, so in each batch, the code must use CPU to augment data such as rot, trans, scale and generate 2D heat-map of one batch using loop. So, the gpu-util should always change from 0.1 to 1. If you are interested in this part, you can try to optimize it and share the method.
Q2: In the train file, the loop is 200 epoch, in fact , just 110 is enough.

from handpose.

Thank you for your response! I wonder whether to update my GPU from TITAN XP to 2080Ti or RTX in order to speed up the training process?

from handpose.

In my view, the speed may be litttle difference between titan and 2080ti.

from handpose.

In fact, I usually use gtx 1080 to train the model before, just one night is enough, when you are sleep.

from handpose.

And what about your CPU? I find it makes a big difference between Intel i9-9900K(TITAN XP) and XEON series CPU(1080Ti) to train the model. It cost about 11 hours and 15 hours to run 110 epochs, respectively.

from handpose.

I am very interested in the research of your lab. Can you share me the website if it is possible? Thank you very much!

from handpose.

this is the computer config that i use

from handpose.

Our lab is just getting started in this filed, so there is no a website of the lab.
What a pity!

from handpose.

I find my config is higher than yours. So I wonder is the cost time in your paper, 6.5 hours for NYU dataset. ^_^

from handpose.

This is my personal computer(1080 but not 2080 ti), just one night is enough.
But your computer uses a longer time, It is a very strange thing itself.

from handpose.

Wow! I found your lab has published several high-level paper. You are very awesome!!!

from handpose.

I also find your github stars many repositories related to hardware of robotics. Do you want to pay more attention to this field in the future? Thank you!!!

from handpose.

I'm trying to turn to robot grasp, but may be just a preliminary exploration.
I will graduate next year.

from handpose.

Hihi, I am in mechanical school. I also want to focus on object pose estimation especially in robot grasp application.
I change the tensorflow environment from 1.3 to 1.9, the training time drop to 5.5 hours.

Thank you!!!

from handpose.

good luck

from handpose.