using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace SmartCoalApplication.Base.AutoMeasure
{

    public class AutoMeasureAnalysis
    {
        public bool erzhichuli = false;// true;//false;
        public bool fanweibuchang = false;
        public bool daodianbu = false;
        public int number;

        public int wrongNumber;

        public int success;

        public Mat result = new Mat();

        public bool isNewSuanfa = true;

        public List<DataInfor> dataInfors = new List<DataInfor>();
        public void UpdateSuccessLine()
        {
            success++;
            wrongNumber = number - success;
        }

        public void setErzhichuli(bool isErzhichuli)
        {
            this.erzhichuli = isErzhichuli;
        }

        public void setFanweibuchang(bool isFanweibuchang)
        {
            this.fanweibuchang = isFanweibuchang;
        }

        public void setBool(bool isDaodianbu) 
        {
            this.daodianbu = isDaodianbu;
        }

        public void setIsNewSuanfa(bool isNewSuanfa)
        {
            this.isNewSuanfa = isNewSuanfa;
        }

        public void Label(Mat image)
        {
            Point p1 = new Point();
            Point p2 = new Point();
            Ceju ceju = new Ceju();
            for (int i = 0; i < dataInfors.Count; i++)
            {
                p1.X = dataInfors[i].point1.X;
                p1.Y = dataInfors[i].point1.Y;
                p2.X = dataInfors[i].point2.X;
                p2.Y = dataInfors[i].point2.Y;
                if (dataInfors[i].point1.Y == dataInfors[i].point2.Y)
                {
                    ceju.LabelHorizontal(image, p1, p2, dataInfors[i].value);
                }
                else
                {
                    ceju.LabelVertical(image, p1, p2, dataInfors[i].value);
                }
            }
        }

        public virtual void Compute(Mat mat, bool flag, int X, int Y)
        {
        }

    }
}