feat 添加传统检测存图，传统检测区域自适应

AlgorithmModule/src/ImgCheckAnalysisy.cpp

@@ -623,6 +623,7 @@ int ImgCheckAnalysisy::Adapt_Config(Mat img, Rect cur_roi, bool b_update){
 		m_old_cur_markLine_mark1 = m_AnalysisyConfig.baseFunction.markLine.mark_local_1;
 		m_old_cur_markLine_mark2 = m_AnalysisyConfig.baseFunction.markLine.mark_local_2;
 		m_old_cur_regionConfigArr = m_AnalysisyConfig.commonCheckConfig.nodeConfigArr[0].regionConfigArr;
+		m_old_cur_traditional_region = m_AnalysisyConfig.baseFunction.traditionDet.detArea;
 	}
 
 	/*计算old_roi到new_roi的完整仿射变换矩阵(平移+缩放+旋转)*/
@@ -660,6 +661,7 @@ int ImgCheckAnalysisy::Adapt_Config(Mat img, Rect cur_roi, bool b_update){
 	cv::Point& cur_markLine_mark1 = m_AnalysisyConfig.baseFunction.markLine.mark_local_1;
 	cv::Point& cur_markLine_mark2 = m_AnalysisyConfig.baseFunction.markLine.mark_local_2;
 	std::vector<RegionConfigST>& cur_regionConfigArr = m_AnalysisyConfig.commonCheckConfig.nodeConfigArr[0].regionConfigArr;
+	std::vector<cv::Point>& cur_traditional_region = m_AnalysisyConfig.baseFunction.traditionDet.detArea;
 
 	// if (img.empty())
 	// {
@@ -717,6 +719,9 @@ int ImgCheckAnalysisy::Adapt_Config(Mat img, Rect cur_roi, bool b_update){
 			cur_regionConfigArr[i].basicInfo.pointArry[j] = affinePoint(m_old_cur_regionConfigArr[i].basicInfo.pointArry[j]);
 		}		
 	}
+	for(int i = 0; i < cur_traditional_region.size(); i++){
+		cur_traditional_region[i] = affinePoint(m_old_cur_traditional_region[i]);
+	}
 
 	/*show*/
 	// if (img.empty())
@@ -1846,6 +1851,9 @@ int ImgCheckAnalysisy::Traditional_Detect_Thread(const cv::Mat &img, cv::Mat &Re
 		cp.nFilterHigh     = traditionParam.nFilterHigh;
 		cp.nAreaFilter     = traditionParam.nAreaFilter;
 		cp.nCountFilter    = traditionParam.nCountFilter;
+		cp.productId	   = DetImgInfo_shareP->strImgProductID;
+		cp.productChannel  = m_strCurDetChannel;
+		cp.bDebugsaveImg   = DetImgInfo_shareP->bsaveProcessImg;
 		m_tcsCheck.SetChecConfig(&cp);
 	}
 

TcsCheckModule/include/TcsCheck.h

@@ -28,6 +28,10 @@ struct CHECK_PARAM{
     int nAreaFilter;           // blob filter for drawing, only draw blob with area >= nAreaFilter
 
     int nCountFilter;          // blob filter for counting, Only the first nCountFilters with areas arranged from largest to smallest
+
+    std::string productId;          // product id
+    std::string productChannel;     // product channel
+    bool bDebugsaveImg;
 };
 /*
 长宽比 >= 3 ?

TcsCheckModule/src/TcsCheck.cpp

@@ -1,5 +1,26 @@
 #include "TcsCheck.h"
 
+namespace {
+// 静默递归创建多级目录（成功或已存在返回 true）
+bool MakeDirs(const std::string& path, mode_t mode = 0755)
+{
+    if (path.empty()) {
+        return false;
+    }
+    if (mkdir(path.c_str(), mode) == 0 || errno == EEXIST) {
+        return true;
+    }
+    const std::size_t pos = path.find_last_of('/');
+    if (pos == std::string::npos || pos == 0) {
+        return false;
+    }
+    if (!MakeDirs(path.substr(0, pos), mode)) {
+        return false;
+    }
+    return (mkdir(path.c_str(), mode) == 0 || errno == EEXIST);
+}
+} // namespace
+
 class CLock
 {
 public:
@@ -178,6 +199,18 @@ cv::Mat CTcsCheck::AdaptiveBinary(cv::Mat matBlur)
 			cv::inRange(block, minGrey, maxGrey, blockBin);
 			cv::bitwise_not(blockBin, blockBin);
 			blockBin.copyTo(result(blockRect));
+
+			// 传统检测残点图存图
+			if (m_cpCfg.bDebugsaveImg)
+			{
+				std::string roi_ext = "[" + std::to_string(x) + "," + std::to_string(y) + "]";
+				std::string strSaveDir = "/home/aidlux/BOE/CELL_AOI/AI_Detect/" + m_cpCfg.productId + "/";
+				MakeDirs(strSaveDir);
+				std::string strSavePath_in = strSaveDir + m_cpCfg.productChannel +"_"+ roi_ext + "_"+ "in" + ".png";
+				std::string strSavePath_out = strSaveDir + m_cpCfg.productChannel +"_"+ roi_ext + "_"+ "out" + ".png";
+				cv::imwrite(strSavePath_in, block);
+				cv::imwrite(strSavePath_out, blockBin);
+			}
 		}
 	}
 	return result;