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@ -1159,16 +1159,137 @@ static void ofs2idx(const Mat& a, size_t ofs, int* idx) |
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namespace cv |
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{ |
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template <typename T> |
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void getMinMaxRes(const Mat &minv, const Mat &maxv, const Mat &minl, const Mat &maxl, double* minVal, |
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double* maxVal, int* minLoc, int* maxLoc, const int groupnum, const int cn, const int cols) |
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{ |
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T min = std::numeric_limits<T>::max(); |
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T max = std::numeric_limits<T>::min() > 0 ? -std::numeric_limits<T>::max() : std::numeric_limits<T>::min(); |
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int minloc = INT_MAX, maxloc = INT_MAX; |
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for( int i = 0; i < groupnum; i++) |
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{ |
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T current_min = minv.at<T>(0,i); |
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T current_max = maxv.at<T>(0,i); |
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T oldmin = min, oldmax = max; |
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min = std::min(min, current_min); |
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max = std::max(max, current_max); |
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if (cn == 1) |
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{ |
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int current_minloc = minl.at<int>(0,i); |
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int current_maxloc = maxl.at<int>(0,i); |
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if(current_minloc < 0 || current_maxloc < 0) continue; |
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minloc = (oldmin == current_min) ? std::min(minloc, current_minloc) : (oldmin < current_min) ? minloc : current_minloc; |
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maxloc = (oldmax == current_max) ? std::min(maxloc, current_maxloc) : (oldmax > current_max) ? maxloc : current_maxloc; |
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} |
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} |
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bool zero_mask = (maxloc == INT_MAX) || (minloc == INT_MAX); |
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if(minVal) |
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*minVal = zero_mask ? 0 : (double)min; |
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if(maxVal) |
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*maxVal = zero_mask ? 0 : (double)max; |
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if(minLoc) |
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{ |
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minLoc[0] = zero_mask ? -1 : minloc/cols; |
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minLoc[1] = zero_mask ? -1 : minloc%cols; |
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} |
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if(maxLoc) |
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{ |
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maxLoc[0] = zero_mask ? -1 : maxloc/cols; |
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maxLoc[1] = zero_mask ? -1 : maxloc%cols; |
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} |
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} |
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typedef void (*getMinMaxResFunc)(const Mat &minv, const Mat &maxv, const Mat &minl, const Mat &maxl, double *minVal, |
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double *maxVal, int *minLoc, int *maxLoc, const int gropunum, const int cn, const int cols); |
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static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc, int* maxLoc, InputArray _mask) |
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{ |
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CV_Assert( (_src.channels() == 1 && (_mask.empty() || _mask.type() == CV_8U)) || |
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(_src.channels() >= 1 && _mask.empty() && !minLoc && !maxLoc) ); |
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int type = _src.type(), depth = CV_MAT_DEPTH(type); |
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bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0; |
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if (depth == CV_64F && !doubleSupport) |
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return false; |
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int groupnum = ocl::Device::getDefault().maxComputeUnits(); |
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size_t wgs = ocl::Device::getDefault().maxWorkGroupSize(); |
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int wgs2_aligned = 1; |
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while (wgs2_aligned < (int)wgs) |
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wgs2_aligned <<= 1; |
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wgs2_aligned >>= 1; |
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String opts = format("-D DEPTH_%d -D OP_MIN_MAX_LOC%s -D WGS=%d -D WGS2_ALIGNED=%d %s", |
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depth, _mask.empty() ? "" : "_MASK", (int)wgs, wgs2_aligned, doubleSupport ? "-D DOUBLE_SUPPORT" : ""); |
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ocl::Kernel k("reduce", ocl::core::reduce_oclsrc, opts); |
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if (k.empty()) |
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return false; |
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UMat src = _src.getUMat(), minval(1, groupnum, src.type()), |
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maxval(1, groupnum, src.type()), minloc( 1, groupnum, CV_32SC1), |
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maxloc( 1, groupnum, CV_32SC1), mask; |
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if(!_mask.empty()) |
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mask = _mask.getUMat(); |
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if(src.channels()>1) |
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src = src.reshape(1); |
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if(mask.empty()) |
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k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(), |
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groupnum, ocl::KernelArg::PtrWriteOnly(minval), ocl::KernelArg::PtrWriteOnly(maxval), |
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ocl::KernelArg::PtrWriteOnly(minloc), ocl::KernelArg::PtrWriteOnly(maxloc)); |
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else |
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k.args(ocl::KernelArg::ReadOnlyNoSize(src), src.cols, (int)src.total(), groupnum, |
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ocl::KernelArg::PtrWriteOnly(minval), ocl::KernelArg::PtrWriteOnly(maxval), |
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ocl::KernelArg::PtrWriteOnly(minloc), ocl::KernelArg::PtrWriteOnly(maxloc), ocl::KernelArg::ReadOnlyNoSize(mask)); |
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size_t globalsize = groupnum * wgs; |
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if (!k.run(1, &globalsize, &wgs, true)) |
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return false; |
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Mat minv = minval.getMat(ACCESS_READ), maxv = maxval.getMat(ACCESS_READ), |
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minl = minloc.getMat(ACCESS_READ), maxl = maxloc.getMat(ACCESS_READ); |
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static getMinMaxResFunc functab[7] = |
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{ |
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getMinMaxRes<uchar>, |
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getMinMaxRes<char>, |
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getMinMaxRes<ushort>, |
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getMinMaxRes<short>, |
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getMinMaxRes<int>, |
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getMinMaxRes<float>, |
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getMinMaxRes<double> |
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}; |
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getMinMaxResFunc func; |
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func = functab[depth]; |
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func(minv, maxv, minl, maxl, minVal, maxVal, minLoc, maxLoc, groupnum, src.channels(), src.cols); |
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return true; |
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} |
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} |
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void cv::minMaxIdx(InputArray _src, double* minVal, |
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double* maxVal, int* minIdx, int* maxIdx, |
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InputArray _mask) |
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{ |
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CV_Assert( (_src.channels() == 1 && (_mask.empty() || _mask.type() == CV_8U)) || |
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(_src.channels() >= 1 && _mask.empty() && !minIdx && !maxIdx) ); |
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if( ocl::useOpenCL() && _src.isUMat() && _src.dims() <= 2 && ( _mask.empty() || _src.size() == _mask.size() ) |
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&& ocl_minMaxIdx(_src, minVal, maxVal, minIdx, maxIdx, _mask) ) |
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return; |
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Mat src = _src.getMat(), mask = _mask.getMat(); |
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int depth = src.depth(), cn = src.channels(); |
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CV_Assert( (cn == 1 && (mask.empty() || mask.type() == CV_8U)) || |
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(cn >= 1 && mask.empty() && !minIdx && !maxIdx) ); |
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7) |
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size_t total_size = src.total(); |
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int rows = src.size[0], cols = (int)(total_size/rows); |
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@ -1289,8 +1410,7 @@ void cv::minMaxIdx(InputArray _src, double* minVal, |
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void cv::minMaxLoc( InputArray _img, double* minVal, double* maxVal, |
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Point* minLoc, Point* maxLoc, InputArray mask ) |
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{ |
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Mat img = _img.getMat(); |
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CV_Assert(img.dims <= 2); |
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CV_Assert(_img.dims() <= 2); |
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minMaxIdx(_img, minVal, maxVal, (int*)minLoc, (int*)maxLoc, mask); |
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if( minLoc ) |
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