fcnt's People
Forkers
miaomiao1989 ilovecv lkaige jsupancic myfavouritekk tybxiaobao wanjinchang benjamesbabala amoliu lijian8 caomw v-italy linzhineng cv-ip millx2021 tonychouzju stoneyang-cv yantaocv mazhengmac ronnie-tian aiilab kekedan zkailinzhang aaa952 loujt1984 linchuming zhengzhugithub arasharchor fanghaizhao kratenko anna0509 milestonesvn cheneyfan johnson-yue peratham lazylazypig jensen-su c-peng damax18 kai06046 mnrmja007 csjunxu 9autilus zgsxwsdxg merlin2013 runngezhang louis1994 truanter choiyeren dreadlord1984 acnercb dntai signalimagecv neuralnetworkingtechnologies wolfworld6 bigpuns baishiruyue afcarl littlecherry11 amirunpri2018 rainotus yishuihanhan lin8553 kgaurav3838 xilong-zhang stonebrotherfcnt's Issues
caffe install
When I install caffe you provided, I got some troubles. when I executed the order "make runtest" . I got some errors as follows
F0401 04:20:30.789280 147288 conv_layer.cpp:54] Check failed: group_ == 1 (3 vs. 1)
The environments is as follows:
OS: Centos 7.0 64bit
cuda 7.5
cudnn4.0
Thanks
cudnn version
Could you tell me the version of your cudnn? When I compile your caffe-fcnt, i meet the following questions:
./include/caffe/util/cudnn.hpp(59): error: identifier "cudnnTensor4dDescriptor_t" is undefined
./include/caffe/util/cudnn.hpp(64): error: identifier "cudnnTensor4dDescriptor_t" is undefined
./include/caffe/util/cudnn.hpp(72): error: identifier "cudnnTensor4dDescriptor_t" is undefined
./include/caffe/util/cudnn.hpp(97): error: identifier "cudnnTensor4dDescriptor_t" is undefined
4 errors detected in the compilation of "/tmp/tmpxft_00004ef8_00000000-16_math_functions.compute_50.cpp1.ii".
make: *** [.build_release/src/caffe/util/math_functions.cuo] error 1
I think this is caused by the dismatch of cudnn version, but I tried to use cudnn 2.0, 3.0, 4.0, 5.0. All of these do not work, my cuda version is 7.5. Any help is appreciated and looking forward to your early reply.
train prototext file
Which prototxt file did you use for training? In feature_net.prototxt I can't find a reference to the dataset and output layer.
can't download paper
we can't download your paper on your paper link, could you check it please?
How to set the seq param for run.m?
I set the seq = VideoReader( ) , but I cannot add seq.init_rect attr , How to complete it ?
Where in the code is g_i and h_ii computed?
Hey
Thanks for sharing your code. I really like your paper. However I still cannot understand parts of the paper, so I tried looking into the code but couldn't find the solution there either. So my question is: Where and how do you compute the numbers g_i and h_ii which are used to compute the significance according to the paper?
It says si = - g_i f_i + 1/2 h_ii f_i^2
I guess this part calls the sel-CNN
select_snet_solver_def_file = 'solver/select_snet_solver.prototxt';
select_gnet_solver_def_file = 'solver/select_gnet_solver.prototxt';
caffe('init_gsolver', select_gnet_solver_def_file);
caffe('init_ssolver', select_snet_solver_def_file);
caffe('set_mode_gpu');
and thats the part that is called from matcaffe.cpp
static void init_gsolver(MEX_ARGS) {
net_.reset();
gsolver_.reset();
//Step 1: init solver
if (nrhs < 1 || nrhs > 3) {
LOG(ERROR) << "Only given " << nrhs << " arguments";
mexErrMsgTxt("caffe_mex : Wrong number of arguments");
}
char* solver_file = mxArrayToString(prhs[0]);
LOG(INFO) << "Loading from " << solver_file;
SolverParameter solver_param;
ReadProtoFromTextFile(solver_file, &solver_param);
gsolver_.reset(new SGDSolver<float>(solver_param));
char* model_file;
if (nrhs >1) {
model_file = mxArrayToString(prhs[1]);
if ( !string(model_file).empty() ){
LOG(INFO) << "Recovery from " << model_file;
gsolver_->net()->CopyTrainedLayersFrom(string(model_file));
}
mxFree(model_file);
}
gsolver_->SetIter(0);
mxFree(solver_file);
}
But I can't anything here...
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.