From 9f5ea554152b1f4ea99c6f8163a091bbf8d238c6 Mon Sep 17 00:00:00 2001
From: liusiyang <liusiyang@aidlux.com>
Date: Thu, 3 Sep 2026 10:05:45 +0800
Subject: [PATCH] =?UTF-8?q?feat=20=E6=B7=BB=E5=8A=A0=E6=A3=80=E6=B5=8B?=
 =?UTF-8?q?=E5=BC=80=E5=85=B3?=
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---
 AlgorithmModule/src/ImgCheckAnalysisy.cpp | 25 +++++++++++++++++++----
 ConfigModule/include/CheckConfigDefine.h  |  4 ++++
 ConfigModule/src/JsonConfig.cpp           |  1 +
 3 files changed, 26 insertions(+), 4 deletions(-)

diff --git a/AlgorithmModule/src/ImgCheckAnalysisy.cpp b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
index 3a993fb..c13b81b 100644
--- a/AlgorithmModule/src/ImgCheckAnalysisy.cpp
+++ b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
@@ -837,11 +837,21 @@ int ImgCheckAnalysisy::CheckRun()
 	{
 		m_pImageAllResult->detImg = image(m_CutRoi).clone();
 	}
-	// 多线程开启 传统/AI 推理检测
+
+	// bDetect为true才进行推理输出残点图，否则直接输出全黑残点图
 	long time_AI_s = CheckUtil::getcurTime();
-	m_AItask = std::make_shared<TaskInfo>();
-	m_AItask->taskname = Task_AI;
-	m_task.sendTask(m_AItask);
+	if(m_pBasicConfig->bDetect)
+	{
+		// 多线程开启 传统/AI 推理检测
+		m_AItask = std::make_shared<TaskInfo>();
+		m_AItask->taskname = Task_AI;
+		m_task.sendTask(m_AItask);
+	}
+	else
+	{
+		// 不推理：直接输出全黑残点图
+		m_pImageAllResult->AIMaskImg = cv::Mat::zeros(m_pImageAllResult->detImg.size(), CV_8UC1);
+	}
 
 	ImgPreDet();
 	// 更新检测区域
@@ -1465,6 +1475,13 @@ int ImgCheckAnalysisy::AIMaskDet()
 	m_ImgBlobHFlagData = new unsigned char[m_pImageAllResult->detImg.rows];
 	memset(m_ImgBlobHFlagData, 0, sizeof(unsigned char) * m_pImageAllResult->detImg.rows);
 
+	// bDetect为false时不进行推理，直接输出全黑残点图
+	if(!m_pBasicConfig->bDetect)
+	{
+		m_CheckResult_shareP->resultMaskImg = m_pImageAllResult->AIMaskImg;
+		return 0;
+	}
+
 	// 传统检测路径：等待异步任务完成后，计算HFlag
 	if(m_pbaseCheckFunction->traditionDet.bOpen)
 	{
diff --git a/ConfigModule/include/CheckConfigDefine.h b/ConfigModule/include/CheckConfigDefine.h
index ed06031..7afc443 100644
--- a/ConfigModule/include/CheckConfigDefine.h
+++ b/ConfigModule/include/CheckConfigDefine.h
@@ -407,6 +407,7 @@ struct BasicConfig
 	float Product_Size_Height_mm; // 产品尺寸 高度 mm
 	float fImage_Scale_x;		  // 成像精度
 	float fImage_Scale_y;		  // 成像精度
+	bool bDetect;             	  // 是否检测
 	std::string strCamName;		  //
 	std::string strConfigVersion;	  // 配置版本
 
@@ -428,6 +429,7 @@ struct BasicConfig
 		Product_Size_Height_mm = 1000;
 		fImage_Scale_x = 0.03;
 		fImage_Scale_y = 0.03;
+		bDetect = true;
 		density_R_mm = 5;
 		strCamName = "";
 		strConfigVersion = "1.0";
@@ -452,6 +454,7 @@ struct BasicConfig
 		this->Product_Size_Height_mm = tem.Product_Size_Height_mm;
 		this->fImage_Scale_x = tem.fImage_Scale_x;
 		this->fImage_Scale_y = tem.fImage_Scale_y;
+		this->bDetect = tem.bDetect;
 		this->density_R_mm = tem.density_R_mm;
 		this->strCamearName = tem.strCamearName;
 		this->strConfigVersion = tem.strConfigVersion;
@@ -463,6 +466,7 @@ struct BasicConfig
 		printf("bCal_ImageScale %d  Product_Size_Width =%f Product_Size_Height =%f \n", bCal_ImageScale, Product_Size_Width_mm, Product_Size_Height_mm);
 		printf("fImage_Scale_x =%f fImage_Scale_y=%f \n", fImage_Scale_x, fImage_Scale_y);
 		printf("density_R_mm=%f \n", density_R_mm);
+		printf("bDetect=%d \n", bDetect);
 		// printf("height_min =%d height_max=%d \n", height_min, height_max);
 		printf("bDrawShieldRoi  %d  bShield_ZF %d DrawPreRoi %d fUP_IOU %f  density_R_mm %f\n", bDrawShieldRoi, bShield_ZF, bDrawPreRoi, fUP_IOU, density_R_mm);
 		printf("============================↑↑↑↑↑↑%s↑↑↑↑↑↑=========================\n", str.c_str());
diff --git a/ConfigModule/src/JsonConfig.cpp b/ConfigModule/src/JsonConfig.cpp
index d406f64..a582c65 100644
--- a/ConfigModule/src/JsonConfig.cpp
+++ b/ConfigModule/src/JsonConfig.cpp
@@ -62,6 +62,7 @@ void CommonParamToCheckConfigJson::toObjectFromValue(Json::Value root)
                 _config.baseConfig.Product_Size_Height_mm = value["Product_Size_H"].asFloat();
                 _config.baseConfig.fImage_Scale_x = value["Image_Scale_X"].asFloat();
                 _config.baseConfig.fImage_Scale_y = value["Image_Scale_Y"].asFloat();
+                _config.baseConfig.bDetect = value["bDetect"].asFloat();
                 if (value["Density_R"])
                 {
                     _config.baseConfig.density_R_mm = value["Density_R"].asFloat();