Fix slowdown when creating thumb from non-raw file
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7ef19b5126
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0544d15b16
@ -46,6 +46,7 @@ int rtengine::getCoarseBitMask( const procparams::CoarseTransformParams &coarse)
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return tr;
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}
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int rtengine::igammasrgb(float in) {
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return Color::igamma_srgb(in);
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}
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const LUTf& rtengine::getigammatab() {
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return Color::igammatab_srgb;
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}
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@ -59,7 +59,7 @@ extern const char sImage16[];
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extern const char sImagefloat[];
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int getCoarseBitMask(const procparams::CoarseTransformParams& coarse);
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int igammasrgb(float in);
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const LUTf& getigammatab();
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enum TypeInterpolation { TI_Nearest, TI_Bilinear };
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@ -958,17 +958,35 @@ public:
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histogram(65536 >> histcompr);
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histogram.clear();
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const LUTf& igammatab = getigammatab();
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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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float r_, g_, b_;
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convertTo<T, float>(r(i, j), r_);
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convertTo<T, float>(g(i, j), g_);
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convertTo<T, float>(b(i, j), b_);
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histogram[igammasrgb (r_) >> histcompr]++;
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histogram[igammasrgb (g_) >> histcompr]++;
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histogram[igammasrgb (b_) >> histcompr]++;
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#ifdef _OPENMP
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#pragma omp parallel
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#endif
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{
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LUTu histThr(histogram.getSize());
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histThr.clear();
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#ifdef _OPENMP
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#pragma omp for schedule(dynamic,16) nowait
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#endif
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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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float r_, g_, b_;
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convertTo<T, float>(r(i, j), r_);
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convertTo<T, float>(g(i, j), g_);
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convertTo<T, float>(b(i, j), b_);
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histThr[static_cast<int>(igammatab[r_]) >> histcompr]++;
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histThr[static_cast<int>(igammatab[g_]) >> histcompr]++;
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histThr[static_cast<int>(igammatab[b_]) >> histcompr]++;
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}
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}
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#ifdef _OPENMP
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#pragma omp critical
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#endif
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{
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histogram += histThr;
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}
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}
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}
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void computeHistogramAutoWB (double &avg_r, double &avg_g, double &avg_b, int &n, LUTu &histogram, const int compression) const override
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@ -976,16 +994,16 @@ public:
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histogram.clear();
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avg_r = avg_g = avg_b = 0.;
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n = 0;
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const LUTf& igammatab = getigammatab();
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for (unsigned int i = 0; i < (unsigned int)(height); i++)
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for (unsigned int j = 0; j < (unsigned int)(width); j++) {
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float r_, g_, b_;
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convertTo<T, float>(r(i, j), r_);
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convertTo<T, float>(g(i, j), g_);
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convertTo<T, float>(b(i, j), b_);
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int rtemp = igammasrgb (r_);
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int gtemp = igammasrgb (g_);
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int btemp = igammasrgb (b_);
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int rtemp = igammatab[r_];
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int gtemp = igammatab[g_];
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int btemp = igammatab[b_];
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histogram[rtemp >> compression]++;
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histogram[gtemp >> compression] += 2;
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@ -1012,6 +1030,9 @@ public:
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int n = 0;
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//int p = 6;
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#ifdef _OPENMP
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#pragma omp parallel for reduction(+:avg_r,avg_g,avg_b,n) schedule(dynamic,16)
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#endif
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for (unsigned int i = 0; i < (unsigned int)(height); i++)
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for (unsigned int j = 0; j < (unsigned int)(width); j++) {
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float r_, g_, b_;
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@ -1567,17 +1588,35 @@ public:
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histogram(65536 >> histcompr);
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histogram.clear();
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const LUTf& igammatab = getigammatab();
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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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float r_, g_, b_;
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convertTo<T, float>(r(i, j), r_);
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convertTo<T, float>(g(i, j), g_);
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convertTo<T, float>(b(i, j), b_);
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histogram[igammasrgb (r_) >> histcompr]++;
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histogram[igammasrgb (g_) >> histcompr]++;
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histogram[igammasrgb (b_) >> histcompr]++;
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#ifdef _OPENMP
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#pragma omp parallel
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#endif
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{
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LUTu histThr(histogram.getSize());
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histThr.clear();
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#ifdef _OPENMP
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#pragma omp for schedule(dynamic,16) nowait
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#endif
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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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float r_, g_, b_;
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convertTo<T, float>(r(i, j), r_);
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convertTo<T, float>(g(i, j), g_);
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convertTo<T, float>(b(i, j), b_);
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histThr[static_cast<int>(igammatab[r_]) >> histcompr]++;
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histThr[static_cast<int>(igammatab[g_]) >> histcompr]++;
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histThr[static_cast<int>(igammatab[b_]) >> histcompr]++;
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}
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}
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#ifdef _OPENMP
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#pragma omp critical
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#endif
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{
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histogram += histThr;
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}
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}
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}
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void computeHistogramAutoWB (double &avg_r, double &avg_g, double &avg_b, int &n, LUTu &histogram, const int compression) const override
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@ -1585,6 +1624,7 @@ public:
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histogram.clear();
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avg_r = avg_g = avg_b = 0.;
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n = 0;
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const LUTf& igammatab = getigammatab();
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for (unsigned int i = 0; i < (unsigned int)(height); i++)
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for (unsigned int j = 0; j < (unsigned int)(width); j++) {
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@ -1592,9 +1632,9 @@ public:
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convertTo<T, float>(r(i, j), r_);
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convertTo<T, float>(g(i, j), g_);
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convertTo<T, float>(b(i, j), b_);
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int rtemp = igammasrgb (r_);
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int gtemp = igammasrgb (g_);
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int btemp = igammasrgb (b_);
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int rtemp = igammatab[r_];
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int gtemp = igammatab[g_];
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int btemp = igammatab[b_];
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histogram[rtemp >> compression]++;
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histogram[gtemp >> compression] += 2;
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@ -1621,6 +1661,9 @@ public:
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int n = 0;
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//int p = 6;
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#ifdef _OPENMP
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#pragma omp parallel for reduction(+:avg_r,avg_g,avg_b,n) schedule(dynamic,16)
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#endif
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for (unsigned int i = 0; i < (unsigned int)(height); i++)
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for (unsigned int j = 0; j < (unsigned int)(width); j++) {
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float r_, g_, b_;
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