#pragma once
#include "Eigen/Dense"
#include "Rect.h"
namespace ByteTrack
{
    class KalmanFilter
    {
    public:
        using DetectBox = Xyah<float>;

        using StateMean = Eigen::Matrix<float, 1, 8, Eigen::RowMajor>;
        using StateCov = Eigen::Matrix<float, 8, 8, Eigen::RowMajor>;

        using StateHMean = Eigen::Matrix<float, 1, 4, Eigen::RowMajor>;
        using StateHCov = Eigen::Matrix<float, 4, 4, Eigen::RowMajor>;

        KalmanFilter(const float& std_weight_position = 1. / 20,
                     const float& std_weight_velocity = 1. / 160);

        void initiate(StateMean& mean, StateCov& covariance, const DetectBox& measurement);

        void predict(StateMean& mean, StateCov& covariance);

        void update(StateMean& mean, StateCov& covariance, const DetectBox& measurement);

    private:
        float std_weight_position_;
        float std_weight_velocity_;

        Eigen::Matrix<float, 8, 8, Eigen::RowMajor> motion_mat_;
        Eigen::Matrix<float, 4, 8, Eigen::RowMajor> update_mat_;

        void project(StateHMean &projected_mean, StateHCov &projected_covariance,
                     const StateMean& mean, const StateCov& covariance);
    };
}