Skip to content

Issues: luoyetx/deep-landmark

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

17 Open 18 Closed
17 Open 18 Closed
Author
Filter by author
Loading
Label
Filter by label
Loading
Use alt + click/return to exclude labels
or ⇧ + click/return for logical OR
Projects
Filter by project
Loading
Milestones
Filter by milestone
Loading
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated Best match
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀

Issues list

why is my caffemodel filenme “1_F_solver_iter_50000.caffemodel” but not “_iter_50000.caffemodel”?
#36 opened Oct 15, 2019 by lmhlll
1
When I train the model, which is entered. / Bootstrap.sh always show sh: 1: caffe not found, what is the problem? How to deal with it?
#35 opened Nov 26, 2017 by 406baoqichao406
5
How to add one more point
#29 opened Dec 14, 2016 by war3xxx
2
About how you preprocess the image
#27 opened Dec 5, 2016 by breadbread1984
1
Why some landmarks failed?
#25 opened Nov 2, 2016 by hzh8311
1
hello why twice use np.random.rand() > 0.5 in level1 generate_hdf5 .thanks
#21 opened Sep 5, 2016 by mttsky
4
The test with the landmark.py you applied is not accurate.
#16 opened Jun 12, 2016 by XiaXuehai
6
Hard to repeat level3's mean error at some points
#14 opened May 23, 2016 by mzpmzk
6
Hard to repeat the training loss or accuracy as your trained model
#11 opened Apr 1, 2016 by wenston2006
3
Training and testing procedures are not the same
#9 opened Mar 21, 2016 by wuqiangch
3
how to solve the face just on the edge of the image?
#8 opened Mar 15, 2016 by wuqiangch
2
why the results are not stable？
#7 opened Mar 14, 2016 by wuqiangch
3
how to check the hd5 data ?
#6 opened Mar 11, 2016 by wuqiangch
18
Model blending using only 1_F is better than using all three networks in level1.
#5 opened Mar 3, 2016 by mariolew
1
training 1_F network
#3 opened Feb 4, 2016 by ikvision
12
About the modified caffe
#2 opened Jan 25, 2016 by mariolew
1
about test time
#1 opened Jan 7, 2016 by yyytq
25
ProTip! What’s not been updated in a month: updated:<2024-11-17.