/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Peng Xiao, pengxiao@outlook.com // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors as is and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include #include #include "test_precomp.hpp" using namespace std; using namespace cvtest; using namespace testing; using namespace cv; namespace { IMPLEMENT_PARAM_CLASS(IsGreaterThan, bool) IMPLEMENT_PARAM_CLASS(InputSize, int) IMPLEMENT_PARAM_CLASS(SortMethod, int) template struct KV_CVTYPE{ static int toType() {return 0;} }; template<> struct KV_CVTYPE { static int toType() {return CV_32SC1;} }; template<> struct KV_CVTYPE{ static int toType() {return CV_32FC1;} }; template<> struct KV_CVTYPE{ static int toType() {return CV_32SC2;} }; template<> struct KV_CVTYPE{ static int toType() {return CV_32FC2;} }; template bool kvgreater(pair p1, pair p2) { return p1.first > p2.first; } template bool kvless(pair p1, pair p2) { return p1.first < p2.first; } template void toKVPair( MatConstIterator_ kit, MatConstIterator_ vit, int vecSize, vector >& kvres ) { kvres.clear(); for(int i = 0; i < vecSize; i ++) { kvres.push_back(make_pair(*kit, *vit)); ++kit; ++vit; } } template void kvquicksort(Mat& keys, Mat& vals, bool isGreater = false) { vector > kvres; toKVPair(keys.begin(), vals.begin(), keys.cols, kvres); if(isGreater) { std::sort(kvres.begin(), kvres.end(), kvgreater); } else { std::sort(kvres.begin(), kvres.end(), kvless); } key_type * kptr = keys.ptr(); val_type * vptr = vals.ptr(); for(int i = 0; i < keys.cols; i ++) { kptr[i] = kvres[i].first; vptr[i] = kvres[i].second; } } class SortByKey_STL { public: static void sort(cv::Mat&, cv::Mat&, bool is_gt); private: typedef void (*quick_sorter)(cv::Mat&, cv::Mat&, bool); SortByKey_STL(); quick_sorter quick_sorters[CV_64FC4][CV_64FC4]; static SortByKey_STL instance; }; SortByKey_STL SortByKey_STL::instance = SortByKey_STL(); SortByKey_STL::SortByKey_STL() { memset(instance.quick_sorters, 0, sizeof(quick_sorters)); #define NEW_SORTER(KT, VT) \ instance.quick_sorters[KV_CVTYPE::toType()][KV_CVTYPE::toType()] = kvquicksort; NEW_SORTER(int, int); NEW_SORTER(int, Vec2i); NEW_SORTER(int, float); NEW_SORTER(int, Vec2f); NEW_SORTER(float, int); NEW_SORTER(float, Vec2i); NEW_SORTER(float, float); NEW_SORTER(float, Vec2f); #undef NEW_SORTER } void SortByKey_STL::sort(cv::Mat& keys, cv::Mat& vals, bool is_gt) { instance.quick_sorters[keys.type()][vals.type()](keys, vals, is_gt); } bool checkUnstableSorterResult(const Mat& gkeys_, const Mat& gvals_, const Mat& /*dkeys_*/, const Mat& dvals_) { int cn_val = gvals_.channels(); int count = gkeys_.cols; //for convenience we convert depth to float and channels to 1 Mat gkeys, gvals, dkeys, dvals; gkeys_.reshape(1).convertTo(gkeys, CV_32F); gvals_.reshape(1).convertTo(gvals, CV_32F); //dkeys_.reshape(1).convertTo(dkeys, CV_32F); dvals_.reshape(1).convertTo(dvals, CV_32F); float * gkptr = gkeys.ptr(); float * gvptr = gvals.ptr(); //float * dkptr = dkeys.ptr(); float * dvptr = dvals.ptr(); for(int i = 0; i < count - 1; ++i) { int iden_count = 0; // firstly calculate the number of identical keys while(gkptr[i + iden_count] == gkptr[i + 1 + iden_count]) { ++ iden_count; } // sort dv and gv int num_of_val = (iden_count + 1) * cn_val; std::sort(gvptr + i * cn_val, gvptr + i * cn_val + num_of_val); std::sort(dvptr + i * cn_val, dvptr + i * cn_val + num_of_val); // then check if [i, i + iden_count) is the same for(int j = 0; j < num_of_val; ++j) { if(gvptr[i + j] != dvptr[i + j]) { return false; } } i += iden_count; } return true; } } #define INPUT_SIZES Values(InputSize(0x10), InputSize(0x100), InputSize(0x10000)) //2^4, 2^8, 2^16 #define KEY_TYPES Values(MatType(CV_32SC1), MatType(CV_32FC1)) #define VAL_TYPES Values(MatType(CV_32SC1), MatType(CV_32SC2), MatType(CV_32FC1), MatType(CV_32FC2)) #define SORT_METHODS Values(SortMethod(cv::ocl::SORT_BITONIC),SortMethod(cv::ocl::SORT_MERGE),SortMethod(cv::ocl::SORT_RADIX)/*,SortMethod(cv::ocl::SORT_SELECTION)*/) #define F_OR_T Values(IsGreaterThan(false), IsGreaterThan(true)) PARAM_TEST_CASE(SortByKey, InputSize, MatType, MatType, SortMethod, IsGreaterThan) { InputSize input_size; MatType key_type, val_type; SortMethod method; IsGreaterThan is_gt; Mat mat_key, mat_val; virtual void SetUp() { input_size = GET_PARAM(0); key_type = GET_PARAM(1); val_type = GET_PARAM(2); method = GET_PARAM(3); is_gt = GET_PARAM(4); using namespace cv; // fill key and val mat_key = randomMat(Size(input_size, 1), key_type, INT_MIN, INT_MAX); mat_val = randomMat(Size(input_size, 1), val_type, INT_MIN, INT_MAX); } }; OCL_TEST_P(SortByKey, Accuracy) { using namespace cv; ocl::oclMat oclmat_key(mat_key); ocl::oclMat oclmat_val(mat_val); ocl::sortByKey(oclmat_key, oclmat_val, method, is_gt); SortByKey_STL::sort(mat_key, mat_val, is_gt); EXPECT_MAT_NEAR(mat_key, oclmat_key, 0.0); EXPECT_TRUE(checkUnstableSorterResult(mat_key, mat_val, oclmat_key, oclmat_val)); } INSTANTIATE_TEST_CASE_P(OCL_SORT, SortByKey, Combine(INPUT_SIZES, KEY_TYPES, VAL_TYPES, SORT_METHODS, F_OR_T));