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

Hard coding concerning the model architecture #6

Open

TreeLLi opened this issue Apr 17, 2018 · 0 comments

TreeLLi commented Apr 17, 2018

There are several places you hard coded the configurations of network architecture in the main program.

They are:

The input dimension of Fast-RCNN, which is coded as [4096, ]. But it should be possible to be other numbers, e.g. if i want to use ResNet ended with dimension [1000, ].
The spatial_scale of RoiPooling layer, which is coded as 1/16. But in my understanding, this ratio is related to the actual total stride in the convolutional layers.

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