Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

can you explain how your method works? #1

Open
gengwb opened this issue Jul 16, 2018 · 1 comment
Open

can you explain how your method works? #1

gengwb opened this issue Jul 16, 2018 · 1 comment

Comments

@gengwb
Copy link

gengwb commented Jul 16, 2018

Hi, lusenkong
I am very glad that you share your code with us, can you explain how u algorithm works?
can u share some demo about how to use Caffemodel_Compress?

@MedicineStick
Copy link
Owner

MedicineStick commented Jul 31, 2018

I used VS2013 as my local IDE,beyond my Company's limitation ,I'm afraid I couldn't share my datum with you. here is some tips .

1, Caffemodel_Compress is based on compress theory, which is cleaning less-significant convolutional filters up with your caffemodel, this technique calculates each filter weights' L1 or L2 ,then sorting and wiping away less-significant one
2, Two files that you need before getting start, 1) your caffemodel 2) your prototxt(test) , the XML file as you see in repsitory is the params during progress running, including the Convolutin layer which you need to pruning and how much convolutional filters that you may want to wipe away.
(formula : num_output * cut_ratio = cut_num )

if there are any questions during your deployment , come and pull requests to me , you are always be welcomed !

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants