private FinalFilterAIData AnalysisAIDataOverlap(Dictionary <string, AIData> aiData, int imageSizeX, int imageSizeY, double zoomRateX, double zoomRateY, string aiDefectCodeType)
{
Dictionary <string, FilterAIData> rtn = new Dictionary <string, FilterAIData> {
};
string state = "";
SealEdge mapCenter = new SealEdge {
adressX = Convert.ToInt16((imageSizeX / 2) / zoomRateX), adressY = Convert.ToInt16((imageSizeY / 2) / zoomRateY)
};
//迴圈篩選AI座標
foreach (KeyValuePair <string, AIData> aIDataTemp in aiData)
{
DefectData filterDataL = new DefectData {
mapX1 = 0, mapY1 = 0, mapX2 = 0, mapY2 = 0, value = 1
};
DefectData filterDataR = new DefectData {
mapX1 = 0, mapY1 = 0, mapX2 = 0, mapY2 = 0, value = 0
};
foreach (DefectData defectDataTemp in aIDataTemp.Value._data)
{
if (aiDefectCodeType == "1") //AI DefectCode為多種
{
//比較各DefectCode取最高分，資料存放 : OH00 OV00 = filterDataL, OH01 OV01 = filterDataR
switch (defectDataTemp._code)
{
case "OV00":
filterDataL = defectDataTemp.value > filterDataL.value ? defectDataTemp : filterDataL;
state = "H"; //AI偵測對象是V時代表要量測的距離方向是H的
break;
case "OH00":
filterDataL = defectDataTemp.value > filterDataL.value ? defectDataTemp : filterDataL;
state = "V"; //AI偵測對象是H時代表要量測的距離方向是V的
break;
case "OV01":
filterDataR = defectDataTemp.value > filterDataR.value ? defectDataTemp : filterDataR;
state = "H";
break;
case "OH01":
filterDataR = defectDataTemp.value > filterDataR.value ? defectDataTemp : filterDataR;
state = "V";
break;
}
}
else
{
//AI DefectCode為單一種
if (defectDataTemp.value > filterDataL.value)
{
filterDataL = defectDataTemp;
}
else if (defectDataTemp.value > filterDataR.value)
{
filterDataR = defectDataTemp;
}
if (defectDataTemp._code == "OV00") //AI偵測對象是V時代表要量測的距離方向是H的
{
state = "H";
}
else
{
state = "V";
}
}
}
if (!rtn.ContainsKey(aIDataTemp.Value.imagePath))
{
rtn.Add(aIDataTemp.Value.imagePath, new FilterAIData
{
edgeV1 = new SealEdge {
adressX = Convert.ToInt16(((filterDataL.mapX1 + filterDataL.mapX2) / 2) * zoomRateX), adressY = Convert.ToInt16(((filterDataL.mapY1 + filterDataL.mapY2) / 2) * zoomRateY)
},
edgeV2 = new SealEdge {
adressX = Convert.ToInt16(((filterDataR.mapX1 + filterDataR.mapX2) / 2) * zoomRateX), adressY = Convert.ToInt16(((filterDataR.mapY1 + filterDataR.mapY2) / 2) * zoomRateY)
},
isHorizontal = state
});
}
}
return(new FinalFilterAIData {
finalFilterAIData = rtn
});
}
private FinalFilterAIData AnalysisAIDataCorner(ImageType type, Dictionary <string, AIData> aiData, int imageSizeX, int imageSizeY, double zoomRateX, double zoomRateY, string aiDefectCodeType)
{
Dictionary <string, FilterAIData> rtn = new Dictionary <string, FilterAIData> {
};
SealEdge mapCenter = new SealEdge {
adressX = Convert.ToInt16((imageSizeX / 2) / zoomRateX), adressY = Convert.ToInt16((imageSizeY / 2) / zoomRateY)
};
//迴圈篩選AI座標
foreach (KeyValuePair <string, AIData> aIDataTemp in aiData)
{
DefectData filterDataH1 = new DefectData {
mapX1 = 0, mapY1 = 0, mapX2 = 0, mapY2 = 0, value = 1
};
DefectData filterDataH2 = new DefectData {
mapX1 = 0, mapY1 = 0, mapX2 = 0, mapY2 = 0, value = 0
};
DefectData filterDataV1 = new DefectData {
mapX1 = 0, mapY1 = 0, mapX2 = 0, mapY2 = 0, value = 1
};
DefectData filterDataV2 = new DefectData {
mapX1 = 0, mapY1 = 0, mapX2 = 0, mapY2 = 0, value = 0
};
foreach (DefectData defectDataTemp in aIDataTemp.Value._data)
{
if (aiDefectCodeType == "1") //AI DefectCode為多種
{
//比較各DefectCode取最高分，資料存放 : CH00 = filterDataH1, CH01 = filterDataH2, CV00 = filterDataV1, CV01 = filterDataV2
switch (defectDataTemp._code)
{
case "CH00":
filterDataH1 = defectDataTemp.value > filterDataH1.value ? defectDataTemp : filterDataH1;
break;
case "CH01":
filterDataH2 = defectDataTemp.value > filterDataH2.value ? defectDataTemp : filterDataH2;
break;
case "CV00":
filterDataV1 = defectDataTemp.value > filterDataV1.value ? defectDataTemp : filterDataV1;
break;
case "CV01":
filterDataV2 = defectDataTemp.value > filterDataV2.value ? defectDataTemp : filterDataV2;
break;
}
}
else
{
//AI DefectCode為單一種
//水平CH00
if (defectDataTemp._code == "CH00")
{
if (filterDataH1.value > filterDataH2.value)
{
filterDataH2 = defectDataTemp.value > filterDataH2.value ? defectDataTemp : filterDataH2;
}
else
{
filterDataH1 = defectDataTemp.value > filterDataH1.value ? defectDataTemp : filterDataH1;
}
}
else if (defectDataTemp._code == "CV00")
{
if (filterDataV1.value > filterDataV2.value)
{
filterDataV2 = defectDataTemp.value > filterDataV2.value ? defectDataTemp : filterDataV2;
}
else
{
filterDataV1 = defectDataTemp.value > filterDataV1.value ? defectDataTemp : filterDataV1;
}
}
}
}
if (!rtn.ContainsKey(aIDataTemp.Value.imagePath))
{
rtn.Add(aIDataTemp.Value.imagePath, new FilterAIData
{
edgeH1 = new SealEdge {
adressX = Convert.ToInt16(((filterDataH1.mapX1 + filterDataH1.mapX2) / 2) * zoomRateX), adressY = Convert.ToInt16(((filterDataH1.mapY1 + filterDataH1.mapY2) / 2) * zoomRateY)
},
edgeH2 = new SealEdge {
adressX = Convert.ToInt16(((filterDataH2.mapX1 + filterDataH2.mapX2) / 2) * zoomRateX), adressY = Convert.ToInt16(((filterDataH2.mapY1 + filterDataH2.mapY2) / 2) * zoomRateY)
},
edgeV1 = new SealEdge {
adressX = Convert.ToInt16(((filterDataV1.mapX1 + filterDataV1.mapX2) / 2) * zoomRateX), adressY = Convert.ToInt16(((filterDataV1.mapY1 + filterDataV1.mapY2) / 2) * zoomRateY)
},
edgeV2 = new SealEdge {
adressX = Convert.ToInt16(((filterDataV2.mapX1 + filterDataV2.mapX2) / 2) * zoomRateX), adressY = Convert.ToInt16(((filterDataV2.mapY1 + filterDataV2.mapY2) / 2) * zoomRateY)
}
});
}
}
return(new FinalFilterAIData {
finalFilterAIData = rtn
});
}
