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

Can not assess the parameter of your models. #3

Closed

KeyKy opened this issue Oct 30, 2017 · 1 comment

KeyKy commented Oct 30, 2017 •

edited

I added your layers into the newest official caffe. Here is my code:

net = caffe.Net('deploy_p3d_resnet_kinetics.prototxt','p3d_resnet_kinetics_iter_190000.caffemodel', caffe.TEST)

print net.params

However, it gives this follow error

python/caffe/pycaffe.py", line 68, in _Net_params
if len(lr.blobs) > 0])
OverflowError: long int too large to convert to int

my md5 of p3d_resnet_sports1m_iter_150000.caffemodel is:
9f28383e1d1f09df8f7a78831c3fc202

The text was updated successfully, but these errors were encountered:

Author

KeyKy commented Oct 30, 2017

Sorry, I need to rebuild my caffe...

KeyKy closed this as completed

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