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//                For Open Source Computer Vision Library
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//    Matthias Bady aegirxx ==> gmail.com
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#include "precomp.hpp"
#include "opencl_kernels.hpp"

using namespace cv;
using namespace cv::ocl;

BRIEF_OCL::BRIEF_OCL( int _bytes ) : bytes( _bytes )
{
}

void BRIEF_OCL::compute( const oclMat& image, const oclMat& keypoints, oclMat& mask, oclMat& descriptors ) const
{
    CV_Assert( image.type( ) == CV_8UC1 );
    if ( keypoints.size( ).area( ) == 0 ) return;
    descriptors = oclMat( Mat( keypoints.cols, bytes, CV_8UC1 ) );
    if( mask.cols != keypoints.cols )
    {
        mask = oclMat( Mat::ones( 1, keypoints.cols, CV_8UC1 ) );
    }
    oclMat sum;
    integral( image, sum, CV_32S );
    cl_mem sumTexture = bindTexture( sum );
    std::stringstream build_opt;
    build_opt
            << " -D BYTES=" << bytes
            << " -D KERNEL_SIZE=" << KERNEL_SIZE
            << " -D BORDER=" << getBorderSize();
    const String kernelname = "extractBriefDescriptors";
    size_t localThreads[3] = {bytes, 1, 1};
    size_t globalThreads[3] = {keypoints.cols * bytes, 1, 1};
    Context* ctx = Context::getContext( );
    std::vector< std::pair<size_t, const void *> > args;
    args.push_back( std::make_pair( sizeof (cl_mem), (void *) &sumTexture ) );
    args.push_back( std::make_pair( sizeof (cl_mem), (void *) &keypoints.data ) );
    args.push_back( std::make_pair( sizeof (cl_int), (void *) &keypoints.step ) );
    args.push_back( std::make_pair( sizeof (cl_mem), (void *) &descriptors.data ) );
    args.push_back( std::make_pair( sizeof (cl_int), (void *) &descriptors.step ) );
    args.push_back( std::make_pair( sizeof (cl_mem), (void *) &mask.data ) );
    openCLExecuteKernel( ctx, &brief, kernelname, globalThreads, localThreads, args, -1, -1, build_opt.str( ).c_str( ) );
    openCLFree( sumTexture );
}

int BRIEF_OCL::getBorderSize( )
{
    return PATCH_SIZE / 2 + KERNEL_SIZE / 2;
}