/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
//     and/or other materials provided with the distribution.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

#ifndef __OPENCV_NONFREE_GPU_HPP__
#define __OPENCV_NONFREE_GPU_HPP__

#include "opencv2/core/gpumat.hpp"

namespace cv { namespace gpu {

class CV_EXPORTS SURF_GPU
{
public:
    enum KeypointLayout
    {
        X_ROW = 0,
        Y_ROW,
        LAPLACIAN_ROW,
        OCTAVE_ROW,
        SIZE_ROW,
        ANGLE_ROW,
        HESSIAN_ROW,
        ROWS_COUNT
    };

    //! the default constructor
    SURF_GPU();
    //! the full constructor taking all the necessary parameters
    explicit SURF_GPU(double _hessianThreshold, int _nOctaves=4,
         int _nOctaveLayers=2, bool _extended=false, float _keypointsRatio=0.01f, bool _upright = false);

    //! returns the descriptor size in float's (64 or 128)
    int descriptorSize() const;

    //! upload host keypoints to device memory
    void uploadKeypoints(const std::vector<KeyPoint>& keypoints, GpuMat& keypointsGPU);
    //! download keypoints from device to host memory
    void downloadKeypoints(const GpuMat& keypointsGPU, std::vector<KeyPoint>& keypoints);

    //! download descriptors from device to host memory
    void downloadDescriptors(const GpuMat& descriptorsGPU, std::vector<float>& descriptors);

    //! finds the keypoints using fast hessian detector used in SURF
    //! supports CV_8UC1 images
    //! keypoints will have nFeature cols and 6 rows
    //! keypoints.ptr<float>(X_ROW)[i] will contain x coordinate of i'th feature
    //! keypoints.ptr<float>(Y_ROW)[i] will contain y coordinate of i'th feature
    //! keypoints.ptr<float>(LAPLACIAN_ROW)[i] will contain laplacian sign of i'th feature
    //! keypoints.ptr<float>(OCTAVE_ROW)[i] will contain octave of i'th feature
    //! keypoints.ptr<float>(SIZE_ROW)[i] will contain size of i'th feature
    //! keypoints.ptr<float>(ANGLE_ROW)[i] will contain orientation of i'th feature
    //! keypoints.ptr<float>(HESSIAN_ROW)[i] will contain response of i'th feature
    void operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints);
    //! finds the keypoints and computes their descriptors.
    //! Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction
    void operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors,
        bool useProvidedKeypoints = false);

    void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints);
    void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints, GpuMat& descriptors,
        bool useProvidedKeypoints = false);

    void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints, std::vector<float>& descriptors,
        bool useProvidedKeypoints = false);

    void releaseMemory();

    // SURF parameters
    double hessianThreshold;
    int nOctaves;
    int nOctaveLayers;
    bool extended;
    bool upright;

    //! max keypoints = min(keypointsRatio * img.size().area(), 65535)
    float keypointsRatio;

    GpuMat sum, mask1, maskSum, intBuffer;

    GpuMat det, trace;

    GpuMat maxPosBuffer;
};

} // namespace gpu

} // namespace cv

#endif // __OPENCV_NONFREE_GPU_HPP__
