gylee1103 / saliencyeld Goto Github PK

Source code for Deep Saliency with Encoded Low Level Distance Map and High Level Features, CVPR 2016.

CMake 1.51% Shell 0.32% HTML 0.10% CSS 0.13% Jupyter Notebook 51.09% C++ 38.89% Python 4.46% Cuda 2.33% MATLAB 0.45% M 0.01% Protocol Buffer 0.71%

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Great work!

This work is really great! It will be really helpful for my future research!

type 'sudo ./SaliencyELD ../test_images/', I get 'sudo: ./SaliencyELD: command not found'

Hi gylee1103,

Thank you so much for sharing the codes!

I git clone your source code and everything goes fine with building caffe and your code, but when I tried to start to test the model, I got stuck.

like:
$ ./SaliencyELD ../test_images
bash: ./SaliencyELD: Permission denied

then
$ sudo ./SaliencyELD ../test_images
sudo: ./SaliencyELD: command not found

and type 'ls -l' in /SaliencyELD/build/ directory
$ ls -l
total 140
-rw------- 1 archer archer 20846 9月 30 18:04 CMakeCache.txt
drwx------ 1 archer archer 488 9月 30 18:04 CMakeFiles
-rw------- 1 archer archer 1678 9月 30 18:04 cmake_install.cmake
-rw------- 1 archer archer 7688 9月 30 18:04 Makefile
-rw------- 1 archer archer 104534 9月 30 18:04 SaliencyELD

Could you please help me?

Thank you very much!

Can't download the eldmodel_iter_112192.caffemodel

Because of the 'great wall' in china, 'www.dropbox.com' is blocked.
Could you please upload it to some other cloud disks, or send it to my email([email protected]).
I'll appreciate your help.

运行代码

如何用matlab使用其中的代码

cuda & cudnn versions ?

Could you please specify in the README which CUDA and CUDNN versions you used ?

I am unable to compile the provided caffe code with CUDA 8.0 and CUDNN 4 or 5.
I get errors relative to cudnn

-- Generating /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o
/usr/local/cuda/bin/nvcc /data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu -c -o /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o -ccbin /usr/bin/gcc -m64 -DUSE_LMDB -DUSE_LEVELDB -DUSE_CUDNN -DUSE_OPENCV -DWITH_PYTHON_LAYER -DGTEST_USE_OWN_TR1_TUPLE -Xcompiler ,\"-fPIC\",\"-Wall\",\"-Wno-sign-compare\",\"-Wno-uninitialized\",\"-O3\",\"-DNDEBUG\" -I/net/Tools/CUDNN4/cuda/include -Xcompiler -I/net/Tools/CUDNN4/cuda/include -gencode arch=compute_35,code=sm_35 -Xcudafe --diag_suppress=cc_clobber_ignored -Xcudafe --diag_suppress=integer_sign_change -Xcudafe --diag_suppress=useless_using_declaration -Xcudafe --diag_suppress=set_but_not_used -Xcompiler -fPIC -DNVCC -I/usr/local/cuda/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/src -I/usr/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/build/include -I/net/Tools/CUDNN4/cuda/include -I/usr/local/cuda/include -I/net/Tools/include -I/net/Tools/include/opencv -I/usr/include/python2.7 -I/usr/labri/mansenca/.local/lib/python2.7/site-packages/numpy/core/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/build
/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "cudnnAddMode_t" is incompatible with parameter of type "const void *"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: too many arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdFilterAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "float *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdDataAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "float *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "cudnnAddMode_t" is incompatible with parameter of type "const void *"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: too many arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdFilterAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "double *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdDataAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "double *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

20 errors detected in the compilation of "/tmp/tmpxft_00010075_00000000-7_cudnn_conv_layer.cpp1.ii".
-- Removing /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o
/usr/bin/cmake -E remove /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o
CMake Error at cuda_compile_generated_cudnn_conv_layer.cu.o.cmake:266 (message):
  Error generating file
  /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o

It seems that we need to use CUDNN 3 and thus CUDA 7.0.
Could you confirm this ?

Can you help me? Anyway thank you very much

I have a question. When i operate 'make -j4', i cannot pass and have the error:
SaliencyELD-master/caffe/src/caffe/layers/cudnn_relu_layer.cu(20): error: argument of type "cudnnActivationMode_t" is incompatible with parameter of type "cudnnActivationDescriptor_t"
detected during instantiation of "void caffe::CuDNNReLULayer::Forward_gpu(const std::vector<caffe::Blob *, std::allocator<caffe::Blob *>> &, const std::vector<caffe::Blob *, std::allocator<caffe::Blob *>> &) [with Dtype=float]"
(54): here

For training our model, please use https://github.com/gylee1103/ELDNet

We publish our journal codes ( https://github.com/gylee1103/ELDNet ) which are able to train easily.
The codes include modified caffe that contains gslic algorithm. Please use the modified caffe and refer $(PROJECT_ROOT)/training directory for your training.

*NOTE : You may need to disable CUDNN setting when build this repo (because of the impcompatibility between caffe and new version of CUDNN)

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