How can I Speed up the modle

Question

How can I Speed up the modle

seasonyang opened this issue 7 years ago · 10 comments

The speed is very slow, and imges delay to the camera.
How to optimize it to speed up it's speed?

Answer 1 · 2017-11-24T09:59:28.000Z

Hi,

The current version is slow because the face alignment method (from the dlib library) requires face detection to run in every frame.
I have a version which uses Deep Alignment Network, a method published in one of my other repos for face alignment. I plan to include that version in this repo, but I don't have time to work on it right now.

For now you can download this faster version from Dropbox here:
https://www.dropbox.com/sh/yfq0hcu0we2hed0/AABXckFonehfgLfdzicjqqJYa?dl=0

Keep in mind that you need to install additional Python modules as detailed in the Deep Alignment Network repo. You will also need a gpu compatible with CUDA if you want it to work fast.

Let me know if that helps.

Marek

Answer 2 · 2017-11-27T09:10:30.000Z

@MarekKowalski
thank you for your help。
I have tried your idea，but when I run the new modle only using CPU，its speed is slowler than before.

Answer 3 · 2017-11-27T09:39:12.000Z

Yeah, it defienietly has to run on GPU to be fast.

Answer 4 · 2018-01-30T06:51:57.000Z

How can I run this program on GPU, please let me know.

Answer 5 · 2018-01-30T07:47:47.000Z

Hi,

If you mean the program I linked on Dropbox then please take a look at the installation requirements in this repo:
https://github.com/MarekKowalski/DeepAlignmentNetwork

Marek

Answer 6 · 2018-01-30T08:28:26.000Z

Hi,
Thanks for quick reply.
I don't have gpu compatible with CUDA,. Can I use openCL instead, if yes please let me know what changes I have to make.

Minhaz

Answer 7 · 2018-01-30T08:31:08.000Z

Hi,

No idea, look at the theano documentation and see there (theano is the library that uses the GPU).

Marek

Answer 8 · 2018-01-30T09:03:20.000Z

Hi,
Found out that utils.getFaceKeypoints(cameraImg, detector, predictor, prevShape2D) taking longer time and the reason behind dropping frames. Is there any workaround?
Thanks.
Minhaz.

Answer 9 · 2018-01-30T15:24:55.000Z

Hi,

Are you using the version that I supplied above in dropbox or the version in the repo?
If the one in Dropbox, I would suggest trying to enable gpu support.
If you are using the other version you might want to try to perform face detection on downscaled images.

Marek

Answer 10 · 2018-01-31T10:34:08.000Z

Hi,

The performance of the face alignment step (DAN) would definitely be lower than what you would get from a GPU equipped desktop computer. There would definitely be some room for performance improvements in other places, as there are some things that Python is very slow at. I am however not sure that it would be sufficiently fast.

One thing you might want to try to improve the DAN performance is to only use a single stage instead of two stages. You can specify that in the constructor parameters.

Best regards,

Marek