Merge pull request #1327 from alalek:ocl_master_tests_fix
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0daac6fd9d
@ -1637,6 +1637,7 @@ void cv::ocl::device::hog::compute_hists(int nbins,
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/ block_stride_x;
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int img_block_height = (height - CELLS_PER_BLOCK_Y * CELL_HEIGHT + block_stride_y)
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/ block_stride_y;
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int blocks_total = img_block_width * img_block_height;
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int grad_quadstep = grad.step >> 2;
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int qangle_step = qangle.step;
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@ -1648,14 +1649,16 @@ void cv::ocl::device::hog::compute_hists(int nbins,
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int hists_size = (nbins * CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12) * sizeof(float);
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int final_hists_size = (nbins * CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y) * sizeof(float);
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int smem = hists_size + final_hists_size;
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&width));
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int smem = (hists_size + final_hists_size) * blocks_in_group;
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&cblock_stride_x));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&cblock_stride_y));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&cnbins));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&cblock_hist_size));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&img_block_width));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&blocks_in_group));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&blocks_total));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&grad_quadstep));
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args.push_back( std::make_pair( sizeof(cl_int), (void *)&qangle_step));
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args.push_back( std::make_pair( sizeof(cl_mem), (void *)&grad.data));
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@ -1690,12 +1693,13 @@ void cv::ocl::device::hog::normalize_hists(int nbins,
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String kernelName;
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int block_hist_size = nbins * CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y;
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int nthreads = power_2up(block_hist_size);
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int img_block_width = (width - CELLS_PER_BLOCK_X * CELL_WIDTH + block_stride_x) / block_stride_x;
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int img_block_height = (height - CELLS_PER_BLOCK_Y * CELL_HEIGHT + block_stride_y) / block_stride_y;
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size_t globalThreads[3] = { img_block_width * nthreads, img_block_height, 1 };
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size_t localThreads[3] = { nthreads, 1, 1 };
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int img_block_width = (width - CELLS_PER_BLOCK_X * CELL_WIDTH + block_stride_x)
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/ block_stride_x;
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int img_block_height = (height - CELLS_PER_BLOCK_Y * CELL_HEIGHT + block_stride_y)
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/ block_stride_y;
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int nthreads;
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size_t globalThreads[3] = { 1, 1, 1 };
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size_t localThreads[3] = { 1, 1, 1 };
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if ( nbins == 9 )
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{
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@ -46,6 +46,8 @@
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#include "precomp.hpp"
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#include <iostream>
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#include "opencv2/imgproc/types_c.h"
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#include "opencv2/imgproc/imgproc_c.h"
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namespace cv
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{
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@ -53,7 +55,6 @@ namespace ocl
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{
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extern const char *moments;
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#if 0
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// The function calculates center of gravity and the central second order moments
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static void icvCompleteMomentState( CvMoments* moments )
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{
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@ -145,7 +146,7 @@ static void icvContourMoments( CvSeq* contour, CvMoments* mom )
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cl_int dst_step = (cl_int)dst_a.step;
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst_step ));
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openCLExecuteKernel(dst_a.clCxt, &moments, "icvContourMoments", globalThreads, localThreads, args, -1, -1);
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openCLExecuteKernel2(dst_a.clCxt, &moments, "icvContourMoments", globalThreads, localThreads, args, -1, -1);
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cv::Mat dst(dst_a);
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a00 = a10 = a01 = a20 = a11 = a02 = a30 = a21 = a12 = a03 = 0.0;
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@ -300,7 +301,7 @@ static void ocl_cvMoments( const void* array, CvMoments* mom, int binary )
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&coi ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&binary ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&TILE_SIZE ));
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openCLExecuteKernel(Context::getContext(), &moments, "CvMoments", globalThreads, localThreads, args, -1, depth);
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openCLExecuteKernel2(Context::getContext(), &moments, "CvMoments", globalThreads, localThreads, args, -1, depth);
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size_t localThreadss[3] = { 128, 1, 1};
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size_t globalThreadss[3] = { 128, 1, 1};
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@ -309,41 +310,34 @@ static void ocl_cvMoments( const void* array, CvMoments* mom, int binary )
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args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&tile_height ));
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args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&tile_width ));
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args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&TILE_SIZE ));
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args_sum.push_back( std::make_pair( sizeof(cl_mem) , (void *)&sum ));
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args_sum.push_back( std::make_pair( sizeof(cl_mem) , (void *)&sum.data ));
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args_sum.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
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args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst_m.step ));
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openCLExecuteKernel(Context::getContext(), &moments, "dst_sum", globalThreadss, localThreadss, args_sum, -1, -1);
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openCLExecuteKernel2(Context::getContext(), &moments, "dst_sum", globalThreadss, localThreadss, args_sum, -1, -1);
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Mat dstsum(sum);
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mom->m00 = dstsum[0];
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mom->m10 = dstsum[1];
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mom->m01 = dstsum[2];
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mom->m20 = dstsum[3];
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mom->m11 = dstsum[4];
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mom->m02 = dstsum[5];
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mom->m30 = dstsum[6];
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mom->m21 = dstsum[7];
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mom->m12 = dstsum[8];
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mom->m03 = dstsum[9];
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mom->m00 = dstsum.at<double>(0, 0);
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mom->m10 = dstsum.at<double>(0, 1);
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mom->m01 = dstsum.at<double>(0, 2);
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mom->m20 = dstsum.at<double>(0, 3);
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mom->m11 = dstsum.at<double>(0, 4);
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mom->m02 = dstsum.at<double>(0, 5);
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mom->m30 = dstsum.at<double>(0, 6);
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mom->m21 = dstsum.at<double>(0, 7);
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mom->m12 = dstsum.at<double>(0, 8);
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mom->m03 = dstsum.at<double>(0, 9);
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icvCompleteMomentState( mom );
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}
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#endif
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Moments ocl_moments( InputArray _array, bool binaryImage )
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{
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#if 0
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CvMoments om;
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Mat arr = _array.getMat();
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CvMat c_array = arr;
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ocl_cvMoments(&c_array, &om, binaryImage);
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return om;
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#endif
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CV_Error(Error::StsNotImplemented, "ocl_moments is not implemented");
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(void)_array;
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(void)binaryImage;
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return Moments();
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}
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}
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@ -43,11 +43,12 @@
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#ifdef HAVE_OPENCL
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using namespace std;
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using std::cout;
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using std::endl;
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void print_info()
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{
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@ -86,11 +87,11 @@ int main(int argc, char **argv)
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CommandLineParser cmd(argc, argv, keys);
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if (cmd.get<string>("h")=="true")
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{
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cout << "Avaible options besides goole test option:" << endl;
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cout << "Available options besides google test options:" << endl;
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cmd.printMessage();
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return 0;
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}
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string type = cmd.get<string>("t");
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string type = cmd.get<String>("t");
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unsigned int pid = cmd.get<unsigned int>("p");
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int device = cmd.get<int>("d");
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@ -7,8 +7,7 @@ using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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extern string workdir;
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PARAM_TEST_CASE(MomentsTest, MatType, bool)
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{
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int type;
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@ -63,9 +62,9 @@ TEST_P(MomentsTest, Mat)
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cv::Moments oclMom = cv::ocl::ocl_moments(_array, binaryImage);
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Compare(CvMom, oclMom);
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}
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}
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INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MomentsTest, Combine(
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Values(CV_8UC1, CV_16UC1, CV_16SC1, CV_64FC1), Values(true,false)));
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#endif // HAVE_OPENCL
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@ -46,14 +46,11 @@
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#include "test_precomp.hpp"
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#include "opencv2/objdetect.hpp"
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using namespace std;
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using namespace cv;
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using namespace testing;
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#ifdef HAVE_OPENCL
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extern string workdir;
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///////////////////// HOG /////////////////////////////
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PARAM_TEST_CASE(HOG, Size, int)
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{
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@ -196,14 +193,14 @@ PARAM_TEST_CASE(Haar, int, CascadeName)
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int flags;
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std::string cascadeName;
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vector<Rect> faces, oclfaces;
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std::vector<Rect> faces, oclfaces;
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Mat img;
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ocl::oclMat d_img;
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virtual void SetUp()
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{
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flags = GET_PARAM(0);
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cascadeName = (string(cvtest::TS::ptr()->get_data_path()) + "cv/cascadeandhog/cascades/").append(GET_PARAM(1));
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cascadeName = (std::string(cvtest::TS::ptr()->get_data_path()) + "cv/cascadeandhog/cascades/").append(GET_PARAM(1));
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ASSERT_TRUE(cascade.load( cascadeName ));
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ASSERT_TRUE(cpucascade.load(cascadeName));
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img = readImage("cv/shared/lena.png", IMREAD_GRAYSCALE);
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@ -52,10 +52,6 @@ using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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extern string workdir;
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//////////////////////////////////////////////////////
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// GoodFeaturesToTrack
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@ -144,7 +140,7 @@ PARAM_TEST_CASE(TVL1, bool)
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};
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TEST_P(TVL1, Accuracy)
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TEST_P(TVL1, DISABLED_Accuracy) // TODO implementations of TV1 in video module are different in 2.4 and master branches
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{
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cv::Mat frame0 = readImage("gpu/opticalflow/rubberwhale1.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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