#pragma once
#include <opencv2/opencv.hpp>
#include "OptimizeCal.h"
#include "MfcLabel.h"
#include "FusionAndTailor.cuh"
#include <queue>

const int OVERLAP_WIDEN = 20;

const int FUSION_WINDOW_SIZE = 5;

#define CATCH_OPENCV_ERROR(Func) \
	try \
	{ \
		Func; \
	} \
	catch (cv::Exception& e) \
	{ \
		std::cout << e.what() << std::endl; \
	} \

typedef std::vector<cv::Mat> vMat;

/// <summary>
/// the class is used to fuse the image
/// </summary>
class ImageFusion
{
public:
	
	ImageFusion();

	//********************************laplace fusion function**************************

	//set a function to initialize the laplace ImageFusion
	void Init(unsigned char * pImage, int nPanoWidth, int nPanoHeight,int nPanoPitch);

	void Init_Gpu(unsigned char* pImage, int nPanoWidth, int nPanoHeight, int nPanoPitch);

	//set a function to get the Image laplace Pyramid
	void GetLaplacePyramid(cv::Mat& Image, std::vector<cv::Mat>& vLaplacePyramid,int nLayer,int nSize,float Sigma);

	void GetDogPyramid(cv::Mat& Mask, std::vector<cv::Mat>& DogPyr,int nLevel);

	//set a function to get the Image gauss Pyramid
	void GetGaussPyramid(cv::Mat& Image, std::vector<cv::Mat>& vGaussPyramid, int nLayer, int nSize, float Sigma);

	//set a funcion to cal the blend image
	void CalBlendImage(vMat& vInferPy, vMat& vTargetPy, vMat& vMaskPy, vMat& vResultPy);

	//the function to use laplace pyramid to fuse the image
	void FusionImageByLaplacePyramid(cv::Mat* pLeft,cv::Mat* Right,int nLayer,int nSize,float Sigma);

	//cv::Mat Pano 
	void FusionImageByLaplacePyramid(cv::Mat* pPano,cv::Rect InferRc ,cv::Mat* pCvTarget, int nLayer, int nSize, float Sigma);

	//unsigned char* Pano
	void FusionImageByLaplacePyramid(unsigned char* pPano, cv::Rect InferRc,unsigned char* pCvTarget,cv::Size SzTargetMat, int nLayer, int nSize, float Sigma, cv::Point LeftTop);

	//get result
	void GetLaplaceFusionImage(unsigned char* pFusionImage, int& nWidth, int& nHeight, int& nPitch);

	/***************************Thin Rect Window Slide Mean Fusion***********************************************************/
	//define a function to fusion image by mean image
	void FusionImageByThinRectWindowSlideMean(unsigned char* pPano, cv::Rect InferRc, int nSize, int nType = 0, float Sigma = 0);
	
	//define a function to fusion image by mean image,fusion single refresh mode
	void FusionImageByThinRectWindowSlideMean(unsigned char* pPano, cv::Rect InferRc, cv::Mat& InferImg,cv::Rect CurCoordinateRc,cv::Mat& TargetImg,cv::Rect TargetRc,int nSize, int nType=0, float Sigma=0);

	cv::Mat CreateThinRectWindow(int nHeight, int nWidth, int nType, int nChannels);
	//
	double CaculateGaussWeight(double x, double sigma);

	void Convolution2D(cv::Mat& Src, cv::Mat& Dst, cv::Mat& Kernel);

	//1d convolution 
	void Convolution1D(cv::Mat& Src, cv::Mat& Dst, cv::Mat& Kernel);

	/*****************************Blending gradient*********************************/
	void FusionImageByBlendingGradient(unsigned char* pPano, cv::Rect InferRc, cv::Mat& InferImg, cv::Rect CurCoordinateRc, cv::Mat& TargetImg, cv::Rect TargetRc);

	void FusionImageByBlendingGradientYUV(
		unsigned char* pPano,
		cv::Rect InferRc,
		unsigned char* pInfer,
		int nInferWidth,
		int nInferHeight,
		int nInferPitch,
		cv::Rect CurCoordinateRc,
		unsigned char* pTarget,
		int nTargetWidth,
		int nTargetHeight,
		int nTargetPitch,
		cv::Rect TargetRc,
		bool bUseSSE2 = false
	);

	void FusionImageByBlendingGradientYUVByGpu(
		unsigned char* pPano,
		cv::Rect InferRc,
		unsigned char* pInfer,
		int nInferWidth,
		int nInferHeight,
		int nInferPitch,
		cv::Rect CurCoordinateRc,
		unsigned char* pTarget,
		int nTargetWidth,
		int nTargetHeight,
		int nTargetPitch,
		cv::Rect TargetRc
	);

	void GetGradientMask(cv::Rect Infer, cv::Rect Target, cv::Mat& MaskTarget,cv::Mat& MaskInfer ,std::vector<bool>& bAddOrSub);

	/*****************************Blending gradient by yuv***************************************************/

	void BlendingLinearYUV(
		unsigned char* pInfer,
		int nInferWidth,
		int nInferHeight,
		int nInferPitch,
		unsigned char* pTarget,
		int nTargetWidth,
		int nTargetHeight,
		int nTargetPitch,
		cv::Mat& cvInferWeight,
		cv::Mat& cvTargetWeight,
		unsigned char*& pResult,
		bool bUseAVX = false
	);

	void BlendingLinearYUVByGpu(
		unsigned char* pInfer,
		int nInferWidth,
		int nInferHeight,
		int nInferPitch,
		unsigned char* pTarget,
		int nTargetWidth,
		int nTargetHeight,
		int nTargetPitch,
		cv::Mat& cvInferWeight,
		cv::Mat& cvTargetWeight,
		unsigned char*& pResult
	);

	/*****************************************粘贴指定部分yuv图像到yuv全景上面*************************************/
	void PastePartInWholeImageYUV(
		unsigned char* pPanoImg, int nPanoWidth, int nPanoHeight, int nPanoPitch,
		unsigned char* pPartImg, int nPartWidth, int nPartHeight, int nPartPitch,
		int nLeft, int nTop,
		bool bUseAVX = false
	);

	void PastePartInWholeImageYUVByGpu(
		unsigned char* pPanoImg, int nPanoWidth, int nPanoHeight, int nPanoPitch,
		unsigned char* pPartImg, int nPartWidth, int nPartHeight, int nPartPitch,
		int nLeft, int nTop,
		CUstream* pStream = NULL
	);


	/****************************************************GPU初始化**************************************************/

	

private:
	//pointer to store the image,and this image has been aligned4
	unsigned char* pPanoImageBuffer;

	//设置一个用于存放gpu运算的buffer
	unsigned char* pPanoImageBufferGpu;

	//pano image width
	int nPanoWidth;
	//pano image height
	int nPanoHeight;
	//pano image pitch
	int nPanoPitch;

	//Additional Window Widen 
	int nAdditionalWiden;

	//create a queue to send the command let the painter process work
	bool bIsModified;

};