From 5ad8f89815f16f47ca89d58e89ac0667fd56e10f Mon Sep 17 00:00:00 2001
From: liusiyang <liusiyang@aidlux.com>
Date: Mon, 19 Oct 2026 17:40:51 +0800
Subject: [PATCH] =?UTF-8?q?fix=20=E5=88=86=E7=B1=BB=E6=B7=BB=E5=8A=A0panel?=
 =?UTF-8?q?=EF=BC=8C=E5=88=86=E7=B1=BB=E5=88=86=E6=95=B0=E4=B8=8D=E5=81=9A?=
 =?UTF-8?q?softmax?=
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---
 AIEngineModule/src/AIModel_Impl.cpp       |  4 ++--
 AlgorithmModule/include/AICommonDefine.h  |  2 ++
 AlgorithmModule/src/ImgCheckAnalysisy.cpp | 12 +++++++++---
 3 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/AIEngineModule/src/AIModel_Impl.cpp b/AIEngineModule/src/AIModel_Impl.cpp
index faeb525..476c2db 100644
--- a/AIEngineModule/src/AIModel_Impl.cpp
+++ b/AIEngineModule/src/AIModel_Impl.cpp
@@ -600,8 +600,8 @@ int AIModel_Impl::F2softmaxId(float *data, int class_num, float *fmaxScore)
     std::vector<float> output(cls_num);
     for (int i = 0; i < output.size(); i++)
     {
-        float outi = (float)exp(data[i]) / (float)total;
-        output[i] = outi;
+        // float outi = (float)exp(data[i]) / (float)total;
+        output[i] = data[i];    // 不做softmax处理（模型已经做了）
         // output.push_back(outi);
         // std::cout<<"output["<<i<<"]="<<output[i]<<std::endl;
     }
diff --git a/AlgorithmModule/include/AICommonDefine.h b/AlgorithmModule/include/AICommonDefine.h
index 2b52cf9..70705e1 100644
--- a/AlgorithmModule/include/AICommonDefine.h
+++ b/AlgorithmModule/include/AICommonDefine.h
@@ -20,6 +20,7 @@ enum AI_CLass_QX_NAME_
     AI_CLass_QX_NAME_QueXi,       // 缺锡
     AI_CLass_QX_NAME_YiWu,        // 异物
     AI_CLass_QX_NAME_C_BianXing,  // C型卡口异常
+    AI_CLass_QX_NAME_Panel,  // 其他
     AI_CLass_QX_NAME_count,
 };
 // 缺陷项对应在参数中的名称
@@ -32,6 +33,7 @@ static const std::string AI_CLass_QX_NAME_Names[] =
         "QueXi",
         "YiWu",
         "C_BianXing",
+        "Panel",
     };
 
 #endif
\ No newline at end of file
diff --git a/AlgorithmModule/src/ImgCheckAnalysisy.cpp b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
index 18e8685..2ac3ca5 100644
--- a/AlgorithmModule/src/ImgCheckAnalysisy.cpp
+++ b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
@@ -180,6 +180,9 @@ static int GetClsTypeByLabel(int nLabel)
 	case 6:
 		cls_num = AI_CLass_QX_NAME_C_BianXing;
 		break;
+	case 7:
+		cls_num = AI_CLass_QX_NAME_Panel;
+		break;
 	default:
 		break;
 	}
@@ -1927,8 +1930,8 @@ int ImgCheckAnalysisy::AI_QX_Class_Thread()
 			// 分类 label 映射：优先读映射配置文件（KK_cls.txt），读不到用默认顺序
 			int cls_num = GetClsTypeByLabel(temClass);
 
-			// std::string strclassName = AI_CLass_QX_NAME_Names[cls_num];
-			// printf("AI Class num %d = %s  %f\n", cls_num, strclassName.c_str(), result->cls_score);
+			std::string strclassName = AI_CLass_QX_NAME_Names[cls_num];
+			m_pdetlog->AddCheckstr(PrintLevel_1, "AI Class num", "%d = %s  %f\n", cls_num, strclassName.c_str(), result->cls_score);
 
 			// 分类存图 开启。
 			if (m_pbaseCheckFunction->saveImg.bSaveClsImg)
@@ -2186,7 +2189,7 @@ int ImgCheckAnalysisy::AIClassTypeToConfigType(int nAIQXType)
 {
 
 	// 无对应缺陷类型时返回 CONFIG_QX_NAME_count（缺陷列表已移除 other）
-	int resultError_type = CONFIG_QX_NAME_count;
+	int resultError_type = AI_CLass_QX_NAME_Panel;
 	switch (nAIQXType)
 	{
 	case AI_CLass_QX_NAME_PIN_PoSun:
@@ -2210,6 +2213,9 @@ int ImgCheckAnalysisy::AIClassTypeToConfigType(int nAIQXType)
 	case AI_CLass_QX_NAME_C_BianXing:
 		resultError_type = CONFIG_QX_NAME_C_BianXing;
 		break;
+	case AI_CLass_QX_NAME_Panel:
+		resultError_type = CONFIG_QX_NAME_Panel;
+		break;
 	default:
 		break;
 	}