update 更改pin偏移缺失判断条件

AlgorithmModule/src/ImgCheckAnalysisy.cpp

@@ -1897,37 +1897,40 @@ int ImgCheckAnalysisy::Pin_Qx_Det(const cv::Mat &img)
 
 		if (nTpl > 0)
 		{
-			// 1、统计模板 pin 中心与平均最小边长，用于自适应阈值
+			// 1、统计模板 pin 中心与外包矩形
 			std::vector<cv::Point2f> tplCenters(nTpl);
-			double sumMinDim = 0.0;
+			std::vector<cv::Rect> tplRects(nTpl);
 			for (int i = 0; i < nTpl; i++)
 			{
 				tplCenters[i] = getCenter(m_tplPinContours[i]);
-				cv::Rect r = cv::boundingRect(m_tplPinContours[i]);
-				sumMinDim += (r.width < r.height) ? r.width : r.height;
+				tplRects[i] = cv::boundingRect(m_tplPinContours[i]);
 			}
-			const float avgMinDim = static_cast<float>(sumMinDim / nTpl);
 
-			// 偏移阈值约 1/4 个 pin 尺寸，缺失阈值约 3/4 个 pin 尺寸
-			float offsetTh = avgMinDim * 0.5f;
-			if (offsetTh < 3.0f)
-			{
-				offsetTh = 3.0f;
-			}
-			float missTh = avgMinDim * 0.75f;
-			if (missTh < offsetTh + 1.0f)
-			{
-				missTh = offsetTh + 1.0f;
-			}
-
-			// 2、当前 pin 中心
+			// 2、当前 pin 中心与外包矩形
 			std::vector<cv::Point2f> curCenters(nCur);
+			std::vector<cv::Rect> curRects(nCur);
 			for (int i = 0; i < nCur; i++)
 			{
 				curCenters[i] = getCenter(m_curPinContours[i]);
+				curRects[i] = cv::boundingRect(m_curPinContours[i]);
 			}
 			std::vector<bool> curUsed(nCur, false);
 
+			// 3、偏移阈值由基础参数 pin_x_offset / pin_y_offset (mm) 换算为像素
+			float offsetThX = 0.0f;
+			float offsetThY = 0.0f;
+			if (m_pbaseCheckFunction != NULL)
+			{
+				if (m_fImgage_Scale_X > 0.0f)
+				{
+					offsetThX = m_pbaseCheckFunction->pinDet.pin_x_offset / m_fImgage_Scale_X;
+				}
+				if (m_fImgage_Scale_Y > 0.0f)
+				{
+					offsetThY = m_pbaseCheckFunction->pinDet.pin_y_offset / m_fImgage_Scale_Y;
+				}
+			}
+
 			// 上报缺失/偏移缺陷（缺陷类型可按需调整）
 			auto reportPinError = [&](int pinIdx, const cv::Point2f &tplCenter, const std::string &reason)
 			{
@@ -1954,7 +1957,7 @@ int ImgCheckAnalysisy::Pin_Qx_Det(const cv::Mat &img)
 			int nMiss = 0;
 			int nOffset = 0;
 
-			// 3、逐个模板 pin 找最近且未被占用的当前 pin
+			// 4、逐个模板 pin 找与其相交且未被占用的当前 pin
 			for (int i = 0; i < nTpl; i++)
 			{
 				int bestIdx = -1;
@@ -1965,6 +1968,14 @@ int ImgCheckAnalysisy::Pin_Qx_Det(const cv::Mat &img)
 					{
 						continue;
 					}
+
+					// 完全与模板没有相交 -> 不算候选
+					cv::Rect inter = tplRects[i] & curRects[j];
+					if (inter.width <= 0 || inter.height <= 0)
+					{
+						continue;
+					}
+
 					float dx = tplCenters[i].x - curCenters[j].x;
 					float dy = tplCenters[i].y - curCenters[j].y;
 					double d = std::sqrt(static_cast<double>(dx) * dx + static_cast<double>(dy) * dy);
@@ -1975,8 +1986,8 @@ int ImgCheckAnalysisy::Pin_Qx_Det(const cv::Mat &img)
 					}
 				}
 
-				// 无候选或距离过远 -> 缺失
-				if (bestIdx < 0 || bestDist > missTh)
+				// 没有相交的当前 pin -> 缺失
+				if (bestIdx < 0)
 				{
 					nMiss++;
 					reportPinError(i, tplCenters[i], "miss");
@@ -1986,14 +1997,18 @@ int ImgCheckAnalysisy::Pin_Qx_Det(const cv::Mat &img)
 
 				curUsed[bestIdx] = true;
 
-				// 距离超出偏移阈值 -> 偏移
-				if (bestDist > offsetTh)
+				// x 或 y 方向偏移超过配置阈值 -> 偏移
+				float dx = tplCenters[i].x - curCenters[bestIdx].x;
+				float dy = tplCenters[i].y - curCenters[bestIdx].y;
+				float absDx = std::fabs(dx);
+				float absDy = std::fabs(dy);
+				if (absDx > offsetThX || absDy > offsetThY)
 				{
 					nOffset++;
 					char buf[64];
-					snprintf(buf, sizeof(buf), "offset %.1fpx", bestDist);
+					snprintf(buf, sizeof(buf), "offset dx %.1f dy %.1f", absDx, absDy);
 					reportPinError(i, tplCenters[i], buf);
-					m_pdetlog->AddCheckstr(PrintLevel_0, "Pin Check", "pin %d OFFSET %.1fpx", i, bestDist);
+					m_pdetlog->AddCheckstr(PrintLevel_0, "Pin Check", "pin %d OFFSET dx %.1f dy %.1f", i, absDx, absDy);
 				}
 			}