luoyetx deep-landmark issues

luoyetx / deep-landmark

Predict facial landmarks with Deep CNNs powered by Caffe.

BSD 3-Clause "New" or "Revised" License

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issues

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Removed os.system from the main route.

#37 minusworld closed 4 years ago
0
why is my caffemodel filenme “1_F_solver_iter_50000.caffemodel” but not “_iter_50000.caffemodel”?

#36 lmhlll opened 5 years ago
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 406baoqichao406 opened 7 years ago
5
your paper and implementation is not the same?

#34 KangolHsu closed 7 years ago
1
The test results of level2 and level3 are worse

#33 ustcluq closed 7 years ago
2
[libprotobuf ERROR google/protobuf/text_format.cc:245]

#32 ustcluq closed 7 years ago
2
ImportError: No module named common

#31 ustcluq closed 7 years ago
4
2 questions about data_preprocess

#30 zhanpx closed 7 years ago
2
How to add one more point

#29 war3xxx opened 7 years ago
2
not changed NM1 landmark accordingly, it is why 1_F is better?

#28 tengshaofeng closed 7 years ago
2
About how you preprocess the image

#27 breadbread1984 opened 7 years ago
1
sh: 1: caffe: not found

#26 NIEYALI closed 8 years ago
1
Why some landmarks failed?

#25 hzh8311 opened 8 years ago
1
where is the functools？

#24 wanglu0316 closed 7 years ago
0
why use the flatten layer and concat layer in level 1?

#23 Dan1900 closed 7 years ago
2
loss EuclideanLoss can change into SoftmaxWithLoss？thanks

#22 mttsky closed 8 years ago
1
hello why twice use np.random.rand() > 0.5 in level1 generate_hdf5 .thanks

#21 mttsky opened 8 years ago
4
pre-trained models?

#20 iqbalnaved closed 8 years ago
1
flip() function

#19 saikrishna-1996 closed 8 years ago
1
compilation issue because of looped dependencies

#18 saikrishna-1996 closed 8 years ago
1
Why there is a final relu in the 1_F network

#17 laoreja closed 8 years ago
1
The test with the landmark.py you applied is not accurate.

#16 XiaXuehai opened 8 years ago
6
How to set the host value when testing?

#15 XiaXuehai closed 8 years ago
2
Hard to repeat level3's mean error at some points

#14 mzpmzk opened 8 years ago
6
A question about face detection in README

#13 xvbw closed 8 years ago
2
a question about hdf5

#12 yyytq closed 8 years ago
0
Hard to repeat the training loss or accuracy as your trained model

#11 wenston2006 opened 8 years ago
3
F1 network is not same as orignal paper

#10 ghost closed 7 years ago
6
Training and testing procedures are not the same

#9 wuqiangch opened 8 years ago
3
how to solve the face just on the edge of the image?

#8 wuqiangch opened 8 years ago
2
why the results are not stable？

#7 wuqiangch opened 8 years ago
3
how to check the hd5 data ?

#6 wuqiangch opened 8 years ago
18
Model blending using only 1_F is better than using all three networks in level1.

#5 mariolew opened 8 years ago
1
max_iter of should be 500K

#4 ikvision closed 8 years ago
1
training 1_F network

#3 ikvision opened 8 years ago
12
About the modified caffe

#2 mariolew opened 8 years ago
1
about test time

#1 yyytq opened 8 years ago
25