single bug fix

src/transmissionReconstruction/dataFilter/dataFilter.cpp

@@ -55,9 +55,17 @@ namespace Recon {
         // 1))./(vecnorm(senderNormalBlock, 2, 1) .* vecnorm(receiverNormalBlock, 2,
         // 1)
         auto transData = ones(1, aMSenderNormalBlock.getDimSize(1));
-        auto inbetweenAngle = acosd(dot(aMSenderNormalBlock, aMReceiverNormalBlock) /
+        Aurora::Matrix inbetweenAngle;
+        {
+            auto tempM = dot(aMSenderNormalBlock, aMReceiverNormalBlock) /
                                     (vecnorm(aMSenderNormalBlock, Norm2, 1) *
-                                    vecnorm(aMReceiverNormalBlock, Norm2, 1)));
+                                    vecnorm(aMReceiverNormalBlock, Norm2, 1));
+            float* temp = new float[tempM.getDataSize()]{0};
+            std::copy(tempM.getData(),tempM.getData()+tempM.getDataSize(),temp);
+            std::copy(temp,temp+tempM.getDataSize(),tempM.getData());
+            delete [] temp;
+            inbetweenAngle = acosd(tempM);
+        }
         #pragma omp parallel for
         for (size_t i = 0; i < transData.getDataSize(); i++)
         {

src/transmissionReconstruction/dataPreperation.cpp

@@ -31,6 +31,12 @@ namespace Recon
     Aurora::Matrix prepareAScansForTransmissionDetection(const Aurora::Matrix& aMaScanBlock, const Aurora::Matrix aVGainBlock)
     {
         auto ret = aMaScanBlock/Aurora::repmat(aVGainBlock,aMaScanBlock.getDimSize(0),1);
+        {
+            float* temp = new float[ret.getDataSize()]{0};
+            std::copy(ret.getData(),ret.getData()+ret.getDataSize(),temp);
+            std::copy(temp,temp+ret.getDataSize(),ret.getData());
+            delete [] temp;
+        }
         ret = ret-Aurora::repmat(Aurora::mean(ret),aMaScanBlock.getDimSize(0),1);
         return ret;
     }

src/transmissionReconstruction/reconstruction/buildMatrix/buildMatrix.cpp

@@ -220,9 +220,7 @@ namespace Recon
 
         uint *temp = new uint[path.getDataSize()]{0};
         //uint32(path)
-        std::copy(path.getData(),path.getData()+path.getDataSize(),temp);
+        Aurora::round(path);
-        std::copy(temp,temp+path.getDataSize(),path.getData()); 
-        delete [] temp;
         result.weighting = traceLineResult.ds;
         result.path = correctPathToImgDimensions(path, dims);
         result.pathLen = result.path.getDimSize(0);

src/transmissionReconstruction/reconstruction/solvingEquationSystem/TVAL/TVAL.cpp

@@ -170,6 +170,10 @@ namespace Recon
         double * csrValues;
         sparse_index_base_t index;
         mkl_sparse_d_export_csr(csrA, &index, &n_rows, &n_cols, &rows_start, &rows_end, &col_indx, &csrValues);
+        mkl_sparse_destroy(A);
+        delete [] xIdxs;
+        delete [] yIdxs;
+        
         int *row_idx = new int[n_rows+1];
         std::copy(rows_start,rows_start+n_rows,row_idx);
         row_idx[n_rows] = rows_end[n_rows-1];
@@ -178,14 +182,9 @@ namespace Recon
         size_t bDims[3]={(size_t)b.getDimSize(0),(size_t)b.getDimSize(1),(size_t)b.getDimSize(2)};
         size_t rdims[3] = {(size_t)dims[0], (size_t)dims[1], (size_t)dims[2]};
         bool pagelocked = false;
-
-
         auto result = TVALGPU(row_idx, col_indx,  csrValues, M.getM(), M.getN(), nz, bData, bDims, rdims, opt, device, false);
-        mkl_sparse_destroy(A);
         mkl_sparse_destroy(csrA);
         delete [] row_idx;
-        delete [] xIdxs;
-        delete [] yIdxs;
         delete [] bData;
         return Aurora::Matrix::fromRawData(result.data, result.dims[0],result.dims[1],result.dims[2]);
         // return Aurora::Matrix();