Performance optimization for impulse_nr on multi-core-systems (Issue 1671)
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@@ -62,9 +62,9 @@ void ImProcFunctions::impulse_nr (LabImage* lab, double thresh) {
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int i1, j1;
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int i1, j1;
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//rangeblur<unsigned short, unsigned int> (lab->L, lpf, impish /*used as buffer here*/, width, height, thresh, false);
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//rangeblur<unsigned short, unsigned int> (lab->L, lpf, impish /*used as buffer here*/, width, height, thresh, false);
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#ifdef _OPENMP
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#ifdef _OPENMP
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#pragma omp parallel
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#pragma omp parallel
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#endif
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#endif
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{
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{
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AlignedBufferMP<double> buffer(max(width,height));
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AlignedBufferMP<double> buffer(max(width,height));
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@@ -75,7 +75,11 @@ void ImProcFunctions::impulse_nr (LabImage* lab, double thresh) {
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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float impthr = max(1.0,5.5-thresh);
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float impthr = max(1.0,5.5-thresh);
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float impthrDiv24 = impthr / 24.0f; //Issue 1671: moved the Division outside the loop, impthr can be optimized out too, but I let in the code at the moment
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#ifdef _OPENMP
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#pragma omp parallel for private(hpfabs, hfnbrave,i1,j1)
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#endif
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for (int i=0; i < height; i++)
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for (int i=0; i < height; i++)
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for (int j=0; j < width; j++) {
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for (int j=0; j < width; j++) {
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@@ -85,11 +89,19 @@ void ImProcFunctions::impulse_nr (LabImage* lab, double thresh) {
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for (j1=max(0,j-2); j1<=min(j+2,width-1); j1++ ) {
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for (j1=max(0,j-2); j1<=min(j+2,width-1); j1++ ) {
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hfnbrave += fabs(lab->L[i1][j1]-lpf[i1][j1]);
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hfnbrave += fabs(lab->L[i1][j1]-lpf[i1][j1]);
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}
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}
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hfnbrave = (hfnbrave-hpfabs)/24;
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impish[i][j] = (hpfabs>((hfnbrave-hpfabs)*impthrDiv24));
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hpfabs>(hfnbrave*impthr) ? impish[i][j]=1 : impish[i][j]=0;
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}//now impulsive values have been identified
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}//now impulsive values have been identified
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// Issue 1671:
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// often, noise isn't evenly distributed, e.g. only a few noisy pixels in the bright sky, but many in the dark foreground,
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// so it's better to schedule dynamic and let every thread only process 16 rows, to avoid running big threads out of work
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// Measured it and in fact gives better performance than without schedule(dynamic,16). Of course, there could be a better
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// choice for the chunk_size than 16
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// race conditions are avoided by the array impish
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#ifdef _OPENMP
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#pragma omp parallel for private(wtdsum,norm,dirwt,i1,j1) schedule(dynamic,16)
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#endif
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for (int i=0; i < height; i++)
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for (int i=0; i < height; i++)
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for (int j=0; j < width; j++) {
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for (int j=0; j < width; j++) {
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if (!impish[i][j]) continue;
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if (!impish[i][j]) continue;
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