templateMatching::Matcher_SetTemplate(matcher, img, stTargetRect); // 设置模板 --3315会崩溃，先注释

NeoTracker/src/Arith_SkyTracker.cpp

@@ -147,7 +147,7 @@ bool SkyTracker::Init(GD_VIDEO_FRAME_S img, PIPE* pLockPipe, GLB_INPUT* p_GLB_In
     stTargetRect.h = pTrackingTarget->snSize.h;
     stTargetRect.x = SINT32(pTrackingTarget->pfCenPos.x - stTargetRect.w / 2);
     stTargetRect.y = SINT32(pTrackingTarget->pfCenPos.y - stTargetRect.h / 2);
-    templateMatching::Matcher_SetTemplate(matcher, img, stTargetRect);  // 设置模板
+    //templateMatching::Matcher_SetTemplate(matcher, img, stTargetRect);  // 设置模板  --3315会崩溃，先注释
 
 
     m_TSky_Output.m_SizeMode = SizeType::unKnown;       // 输出目标尺寸类型为未知

NeoTracker/src/Matcher/PatternMatching.cpp

@@ -47,8 +47,9 @@ namespace templateMatching {
     void LearnPattern(s_TemplData& m_TemplData, Mat& m_matDst, double& m_iMinReduceArea)
     {
         m_TemplData.clear();        // 模板清空
-
         int iTopLayer = GetTopLayer(&m_matDst, (int)sqrt((double)m_iMinReduceArea));// 获取金字塔的降采样层数
+        LOG_DEBUG("iTopLayer: {}", iTopLayer);    //监测iTopLayer是否存在溢出 iTopLayer == 0会报错
+        iTopLayer = MAX(iTopLayer, 1);
         buildPyramid(m_matDst, m_TemplData.vecPyramid, iTopLayer);      // 目标区域构建金字塔
         s_TemplData* templData = &m_TemplData;
         templData->iBorderColor = mean(m_matDst).val[0] < 128 ? 255 : 0;    // 依据图像块均值，定义边界颜色