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#include "precomp.hpp"
#include <algorithm>
#include <vector>

#include <iostream>
#include <iomanip>

namespace cv
{
namespace xfeatures2d
{

/*
 * BRIEF Descriptor
 */
class BriefDescriptorExtractorImpl : public BriefDescriptorExtractor
{
public:
    enum { PATCH_SIZE = 48, KERNEL_SIZE = 9 };

    // bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes.
    BriefDescriptorExtractorImpl( int bytes = 32 );

    virtual void read( const FileNode& );
    virtual void write( FileStorage& ) const;

    virtual int descriptorSize() const;
    virtual int descriptorType() const;
    virtual int defaultNorm() const;

    virtual void compute(InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors);

protected:
    typedef void(*PixelTestFn)(InputArray, const std::vector<KeyPoint>&, OutputArray);
    
    int bytes_;
    PixelTestFn test_fn_;
};

Ptr<BriefDescriptorExtractor> BriefDescriptorExtractor::create( int bytes )
{
    return makePtr<BriefDescriptorExtractorImpl>(bytes);
}

inline int smoothedSum(const Mat& sum, const KeyPoint& pt, int y, int x)
{
    static const int HALF_KERNEL = BriefDescriptorExtractorImpl::KERNEL_SIZE / 2;

    int img_y = (int)(pt.pt.y + 0.5) + y;
    int img_x = (int)(pt.pt.x + 0.5) + x;
    return   sum.at<int>(img_y + HALF_KERNEL + 1, img_x + HALF_KERNEL + 1)
           - sum.at<int>(img_y + HALF_KERNEL + 1, img_x - HALF_KERNEL)
           - sum.at<int>(img_y - HALF_KERNEL, img_x + HALF_KERNEL + 1)
           + sum.at<int>(img_y - HALF_KERNEL, img_x - HALF_KERNEL);
}

static void pixelTests16(InputArray _sum, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors)
{
    Mat sum = _sum.getMat(), descriptors = _descriptors.getMat();
    for (int i = 0; i < (int)keypoints.size(); ++i)
    {
        uchar* desc = descriptors.ptr(i);
        const KeyPoint& pt = keypoints[i];
#include "generated_16.i"
    }
}

static void pixelTests32(InputArray _sum, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors)
{
    Mat sum = _sum.getMat(), descriptors = _descriptors.getMat();
    for (int i = 0; i < (int)keypoints.size(); ++i)
    {
        uchar* desc = descriptors.ptr(i);
        const KeyPoint& pt = keypoints[i];

#include "generated_32.i"
    }
}

static void pixelTests64(InputArray _sum, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors)
{
    Mat sum = _sum.getMat(), descriptors = _descriptors.getMat();
    for (int i = 0; i < (int)keypoints.size(); ++i)
    {
        uchar* desc = descriptors.ptr(i);
        const KeyPoint& pt = keypoints[i];

#include "generated_64.i"
    }
}

BriefDescriptorExtractorImpl::BriefDescriptorExtractorImpl(int bytes) :
    bytes_(bytes), test_fn_(NULL)
{
    switch (bytes)
    {
        case 16:
            test_fn_ = pixelTests16;
            break;
        case 32:
            test_fn_ = pixelTests32;
            break;
        case 64:
            test_fn_ = pixelTests64;
            break;
        default:
            CV_Error(Error::StsBadArg, "bytes must be 16, 32, or 64");
    }
}

int BriefDescriptorExtractorImpl::descriptorSize() const
{
    return bytes_;
}

int BriefDescriptorExtractorImpl::descriptorType() const
{
    return CV_8UC1;
}

int BriefDescriptorExtractorImpl::defaultNorm() const
{
    return NORM_HAMMING;
}

void BriefDescriptorExtractorImpl::read( const FileNode& fn)
{
    int dSize = fn["descriptorSize"];
    switch (dSize)
    {
        case 16:
            test_fn_ = pixelTests16;
            break;
        case 32:
            test_fn_ = pixelTests32;
            break;
        case 64:
            test_fn_ = pixelTests64;
            break;
        default:
            CV_Error(Error::StsBadArg, "descriptorSize must be 16, 32, or 64");
    }
    bytes_ = dSize;
}

void BriefDescriptorExtractorImpl::write( FileStorage& fs) const
{
    fs << "descriptorSize" << bytes_;
}

void BriefDescriptorExtractorImpl::compute(InputArray image,
                                           std::vector<KeyPoint>& keypoints,
                                           OutputArray descriptors)
{
    // Construct integral image for fast smoothing (box filter)
    Mat sum;

    Mat grayImage = image.getMat();
    if( image.type() != CV_8U ) cvtColor( image, grayImage, COLOR_BGR2GRAY );

    ///TODO allow the user to pass in a precomputed integral image
    //if(image.type() == CV_32S)
    //  sum = image;
    //else

    integral( grayImage, sum, CV_32S);

    //Remove keypoints very close to the border
    KeyPointsFilter::runByImageBorder(keypoints, image.size(), PATCH_SIZE/2 + KERNEL_SIZE/2);

    descriptors.create((int)keypoints.size(), bytes_, CV_8U);
    descriptors.setTo(Scalar::all(0));
    test_fn_(sum, keypoints, descriptors);
}

}
} // namespace cv
