public void RecognitionByML(Image <Gray, byte> src)
{
for (int i = 0; i < this.CVQuestionList.Count; i++)
{
var q = this.CVQuestionList[i];
if (q.ResultStatus != QuestionResultStatus.Absence)
{
continue;
}
for (int j = 0; j < q.OptionRectList.Count; j++)
{
var rect = q.OptionRectList[j];
//智能识别
var queRect = rect.Rectangle;
queRect.Offset(this.Area.Location);
using (var copy = src.Copy(queRect))
{
var isAnswer = MLearner.IsAnswer(copy);
if (!q.Results.Contains(j) && isAnswer)
{
q.Results.Add(j);
}
new CVHelper().SaveMat(copy.Mat, "需要智能之别的" + isAnswer);
}
}
}
}
/// <summary>
/// 该区域的图片
/// </summary>
/// <param name="src"></param>
/// <param name="myThreshold"></param>
public void Recognition(Image <Gray, byte> src, int myThreshold = 180)
{
////思路：第一次正常识别--->初步智能筛选---->再次智能筛选---》再次智能(如果未选，继续多次，如果多选)
////var src = new Image<Gray, byte>(bitmap);
var thresholdMat = src.CopyBlank().Mat;
CvInvoke.Threshold(src, thresholdMat, myThreshold, 255, Emgu.CV.CvEnum.ThresholdType.BinaryInv);
new CVHelper().SaveMat(src.Mat, "原始的");
//思路 open -膨胀
//形态学膨胀
Mat mat_dilate = CVHelper.MyDilateS(thresholdMat, Emgu.CV.CvEnum.MorphOp.Open);
new CVHelper().SaveMat(mat_dilate, "Open行学");
mat_dilate = CVHelper.MyDilateS(mat_dilate, Emgu.CV.CvEnum.MorphOp.Dilate);
new CVHelper().SaveMat(mat_dilate, "Dilate行学");
//补充偏移置换
//src = Max(src);
foreach (var question in this.CVQuestionList)
{
for (int i = 0; i < question.OptionRectList.Count; i++)
{
var cvRect = question.OptionRectList[i];
//计算平均灰度值
//var fileName = $"{this.Name}第";
cvRect.CalVagGrayValueAndHist(src);
//计算面积比
cvRect.CalAreaPercent(src);
if (cvRect.AreaPercent > CVArea.valAreaPercent)
{
question.Results.Add(i);
}
}
}
//打印初步识别的
//new CommonUse().DrawRectCircleAndSave(src.Mat.Clone(), this.GetRectList(), $"{this.Name}-初步识别的", -this.Area.X, -this.Area.Y, points: this.GetResultPointList(false));
this.DrawDetail(src.Clone(), this.Name);
//初步筛选
this.Check();
new CVHelper().DrawRectCircleAndSave(src.Mat.Clone(), this.GetRectList(false), $"{this.Name}-初步筛选结果", points: this.GetResultPointList(false));
//再次智能处理异常的
this.CVQuestionList.ForEach(q =>
{
this.IntelligentChose(src, q);
int total = 11;
for (int i = 2; i <= total; i++)
{
if (q.ResultStatus == QuestionResultStatus.Right)
{
break;
}
else if (q.ResultStatus == QuestionResultStatus.Absence)
{
q.IntelligentChoseByAbsence(src, i);
}
}
});
//再次通过神经网络识别
//this.RecognitionByML();
for (int i = 0; i < this.CVQuestionList.Count; i++)
{
var q = this.CVQuestionList[i];
if (q.ResultStatus != QuestionResultStatus.Absence)
{
continue;
}
//针对只有一个的选框的不适用人工智能网络)
//if (this.GetOptionCount() == 1)
//{
// continue;
//}
for (int j = 0; j < q.OptionRectList.Count; j++)
{
var rect = q.OptionRectList[j];
if (rect.AreaPercent == 0 && rect.AvgGrayValue == 0)
{
continue;
}
//智能识别
var queRect = rect.Rectangle;
using (var copy = src.Copy(queRect))
{
var isAnswer = MLearner.IsAnswer(copy);
if (!q.Results.Contains(j) && isAnswer)
{
q.Results.Add(j);
}
new CVHelper().SaveMat(copy.Mat, "需要智能之别的" + isAnswer, dictory: "MLReg\\");
}
}
}
//脱离原rectangle，再次智能筛选
try {
DoMLAgain(src);
}
catch (Exception ex)
{
Console.WriteLine("再次智能之别是，发生错误");
Console.WriteLine(ex);
}
}
/// <summary>
/// 再次智能识别
/// </summary>
/// <param name="src"></param>
private void DoMLAgain(Image <Gray, byte> src)
{
//正对使用了偏移块还不准的区域再次识别
if (!this.IsAbsence())
{
return;
}
var cvHelper = new CVHelper();
var rectList = cvHelper.GetRectListFromBitmap(src.Bitmap, isAutoFillFull: true);
if (rectList.Count != this.GetOptionCount())// || rectList.Count==1 针对只有一个的选框的不适用
{
return;
}
var rectListDic = cvHelper.OrderRectList(rectList, this.IsOrderByRow());
var anwserDir = new Dictionary <int, List <int> >();
foreach (var key in rectListDic.Keys)
{
var queOptions = rectListDic[key];
var tmpResult = new List <int>();
for (int i = 0; i < queOptions.Count; i++)
{
var queRect = queOptions[i];
using (var copy = src.Copy(queRect))
{
var isAnswer = MLearner.IsAnswer(copy);
if (isAnswer)
{
tmpResult.Add(i);
}
#if DEBUG
new CVHelper().SaveMat(copy.Mat, "再次智能之别的" + isAnswer, dictory: "MLReg2\\");
#endif
}
}
anwserDir.Add(key, tmpResult);
}
//合并答案
foreach (var key in anwserDir.Keys)
{
var result = anwserDir[key];
if (this.CVQuestionList[key - 1].ResultStatus == QuestionResultStatus.Absence)
{
this.CVQuestionList[key - 1].Results = result;
}
}
#if DEBUG
//画出再次智能出来的框和识别出来的中心点
var tmpRectList = new List <Rectangle>();
var tmpPointList = new List <Point>();
foreach (var key in rectListDic.Keys)
{
tmpRectList.AddRange(rectListDic[key]);
anwserDir[key].ForEach(i =>
{
var rect = rectListDic[key][i];
var point = rect.Location;
point.Offset(rect.Width / 2, rect.Height / 2);
tmpPointList.Add(point);
});
}
cvHelper.DrawRectCircleAndSave(src.Mat, tmpRectList, "再次智能后", points: tmpPointList, dictory: "MLReg2\\");
#endif
}
