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.

Sign up for GitHub

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

Jump to bottom

Confused about the code in Vgg_model.py, what are [123.6800, 116.7790, 103.9390] used for? #28

Open

Jarvisss opened this issue Jan 11, 2020 · 1 comment

Jarvisss commented Jan 11, 2020

contextualLoss/vgg_model.py

Line 37 in 775546b

    
           net['input'] = input - np.array([123.6800, 116.7790, 103.9390]).reshape((1, 1, 1, 3))

Owner

roimehrez commented Jan 11, 2020 via email

The average image values (RGB) as used to train VGG net.

On Sat, 11 Jan 2020, 08:57 Jarvisss, ***@***.***> wrote: https://github.com/roimehrez/contextualLoss/blob/775546bbd65a18d3ce86b80a75ee92afa46e624f/vgg_model.py#L37 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#28?email_source=notifications&email_token=ADVAUJXYLHFX2UI72L7ZGDLQ5GCZDA5CNFSM4KFQ6GN2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IFP7EYA>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADVAUJS3OPW5KZX5XXVFA53Q5GCZDANCNFSM4KFQ6GNQ> .

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment