About installation

[kusiwu]

Hi, Which OS is required to install and use your works? Ubuntu or windows? And their version? Could you please share more information about how to install and use?

Thank you

[cszn]

Youcan use either ubuntu or windows. Follow the instructions http://www.vlfeat.org/matconvnet/install/ carefully. I use 1.0-beta24, win10, matlab2015b.

[kusiwu]

Hi Cszn, I successfully installed the cuda cudnn and matconvnet to my win7 pc. Could you please add this installation steps to readme.md file? I think, it may help for beginners.

Installation of CUDNN5.1, CUDA 8.0 GA2 and Matconvnet (Windows 7 64bit)

Download Visual studio 2015 and install it.

Download and install cuda 8.0 GA2: There is two installer, one is base installer and the other one is patch. You should download all of them. https://developer.nvidia.com/cuda-80-ga2-download-archive First install base installer (1.3GB) and then install patch (43.1MB) My cuda install path is: 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0'. You may need to add path CUDA_PATH if the setup does not do that. (as environment variable)

Download cudnn5.1. You should register to nvidia and download cudnn 5.1. Search in google please. Then you should extract the zip into "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0" (See http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html) Installations may need reboot.

%Download matconvnet http://www.vlfeat.org/matconvnet/download/matconvnet-1.0-beta25.tar.gz %create a directory named as "matconvnet" inside your matlab directory. %My matlab directory is = "D:\Program files\MATLAB\R2016b" , yours may differ, please change yours. %then extract matconvnet zip file and copy the file into "D:\Program files\MATLAB\R2016b\matconvnet\matconvnet-1.0-beta25"

%open matlab, all the below codes should be written into matlab command window. %write : in your case, the path can be different !!! Select visual studio 2015 path both C and C++ compiler.

mex -setup
mex -setup:'D:\Program files\MATLAB\R2016b\bin\win64\mexopts\msvc2015.xml' C

mex -setup C++
mex -setup:'D:\Program files\MATLAB\R2016b\bin\win64\mexopts\msvcpp2015.xml' C++

cd 'D:\Program files\MATLAB\R2016b\matconvnet\matconvnet-1.0-beta25'
addpath matlab

%run this
vl_compilenn('enableGpu', true, 'cudaMethod', 'nvcc', ...
               'cudaRoot', 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0', ...
               'enableCudnn', true, 'cudnnRoot', 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0') ;

%you will see lots of these messages and also many warnings may occur.

%Building with 'Microsoft Visual C++ 2015 Professional'. %MEX completed successfully. %Building with 'Microsoft Visual C++ 2015 Professional (C)'. %MEX completed successfully.

%write this gpuDevice and you should see something like that, but name may differ related with your graphic card.

CUDADevice with properties:

                  Name: 'Tesla K20c'
                 Index: 1
     ComputeCapability: '3.0'
        SupportsDouble: 1
         DriverVersion: 6
        ToolkitVersion: 5.5000
    MaxThreadsPerBlock: 1024
      MaxShmemPerBlock: 49152
    MaxThreadBlockSize: [1024 1024 64]
           MaxGridSize: [2.1475e+09 65535 65535]
             SIMDWidth: 32
           TotalMemory: 5.0330e+09
       AvailableMemory: 4.9185e+09
   MultiprocessorCount: 13
          ClockRateKHz: 705500
           ComputeMode: 'Default'
  GPUOverlapsTransfers: 1
KernelExecutionTimeout: 0
      CanMapHostMemory: 1
       DeviceSupported: 1
        DeviceSelected: 1

%Lets test the system. vl_testnn

%You will see messages like that this test may take 10 -20minute.

Done nnbilinearsampler[dataType=single,device=cpu]/bwd_data_consistency(ih=value2,iw=value1,oh=value1,ow=value2,multiple_grids=value1) in 0.00029763 seconds Running nnbilinearsampler[dataType=single,device=cpu]/bwd_data_consistency(ih=value2,iw=value1,oh=value1,ow=value2,multiple_grids=value2) Done nnbilinearsampler[dataType=single,device=cpu]/bwd_data_consistency(ih=value2,iw=value1,oh=value1,ow=value2,multiple_grids=value2) in 0.00046763 seconds %At the end you should see a message like that: %Totals: % 3586 Passed, 0 Failed, 0 Incomplete. % 1439.9093 seconds testing time.

Testing IRCNN Demos

Unzip IRCNN into a folder named for example: D:\IRCNN

The last step, open matlab command window and write these,

cd 'D:\IRCNN'
Demo_demosaiking.m

Please comment, if anything is missing

[cszn]

Thanks, it's very nice of you.

[kusiwu]

Dear Zhang, You'r welcome. I have sent an email to you. It may be redirected to your spam folder. Could you please reply back if you have enough time or any idea about "gaussian denoising"? (I have written the idea in the email with details.) Thank you very much.