#pragma once
#include "IObjectDetector.h"
#include "dnninfer.h"
#include "opencv2/core/base.hpp"
#include <vector>


class CSegDetector : public IObjectDetector
{
public:
	CSegDetector(const char* strModelFile, int iBatchSize = 1, int iInferMode = 1, int iDeviceIndex = 0);
	virtual ~CSegDetector();
	//初始化对象
	virtual bool Init();
	//释放对象
	virtual bool UnInit();
	//获取对象名
	virtual const char* GetType() { return "CSegDetector"; };
	//执行infer
	virtual bool Execute(cv::Mat& image);
	virtual bool Execute(std::vector<cv::Mat>& images);
	virtual bool ExecuteV2(cv::Mat& image);
	virtual bool ExecuteV3(cv::Mat& image);
	//获取结果
	virtual bool GetResults(std::vector<DetectorResult>& vecDetectorResults);
	void   EnableMask(bool bEnableMask);
	void   EnableContourArea(bool bEnableContourArea);
	void   SetMinAreaAndHeight(int minArea, int minHeight);
protected:

	bool ProcessInput(cv::Mat& cvInput, Datum& input, double& fx, double& fy, double& xoffset, double& yoffset);
	bool ProcessInputs(std::vector<cv::Mat>& cvInput, Datum& input, double& fx, double& fy, double& xoffset, double& yoffset);

	bool ProcessInput(cv::Mat& cvInputImage, cv::Mat& cvProcessedImage, double& fx, double& fy, double& xoffset, double& yoffset);
	bool MaskToDetectResult(const cv::Mat& mask, float min_area, float min_height, const cv::Size& image_size, std::vector<DetectorResult>& vecDetectResult);
	bool ProbToDetectResult(Datum& probDatum, float min_area, float min_height, const cv::Size& image_size, std::vector<DetectorResult>& vecDetectResult);
private:
	bool							m_bInit;
	int								m_iBatchSize;
	int								m_iInferMode;
	int								m_iDeviceInedx;
	std::string						m_strModelFile;
	std::vector<DetectorResult>		m_vecDetectResult;
	void* m_pInfer;
	int								m_iChannel;
	int								m_iHeight;
	int								m_iWidth;
	int								m_iLabelNum;

	int								m_iMinArea;
	int								m_iMinHeight;

	Datum							m_inputDatum;
	Datum							m_outputDatum;
	Datum							m_outputProbDatum;
	bool							m_bEnableMask;
	bool							m_bEnableContourArea;
};