Fast GMM fitting (diagonal covariances only) with Kmeans initialization and Fisher Vectors computation
Based on the yael package
This toolbox can use BLAS/OpenMP API for faster computation on multi-cores processor.
It accepts dense inputs in single/double precision.
Thank you Sebastien, use your method which is mentioned as below, I get the mexw64 finally...
Now matlab is no more accepting compiled mex-files included in the zip file sorry :(.
Do you encounter some pb for linux when compiling it ?. I know that it can working fine when linked with intel MKL or GOTOlib
Very useful submission.
Can you kindly upload linux mex files if possible. I am failing to compile using gcc on linux.
Thanks in advance
I forgot to mention that it's better to use the ICC compiler from Intel composer instead of MSVC for some linkage problems and/or crash. It's not my fault. Please download the excellent package to setup your intel compiler at :
For windows plateform, I observed some crashs when using the inshipped BLAS/LACPACK lib. Please download the intel MKL and you shoud mex functions as:
mex -v -DOMP -DBLAS yael_gmm.c "C:\Program Files (x86)\Intel\Composer XE 2013\mkl\lib\intel64\mkl_core.lib" "C:\Program Files (x86)\Intel\Composer XE 2013\mkl\lib\intel64\mkl_intel_lp64.lib" "C:\Program Files (x86)\Intel\Composer XE 2013\mkl\lib\intel64\mkl_intel_thread.lib" -largeArrayDims
Hope will help you.
P.S The main problems occurs usually during linkage and I can't check all configuration systems ..
It's a excellent open source code, but it crashed on my platform when calling the yael_gmm() function. my platform is windows 7, matlab 2010b, compiler is Microsoft Visual C++ 2010. Thank you very much
- Fix some compilation issues in mexme_yael_gmm
-Fix/include denseSIFT.c mex-compilation
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