提交 0daac6fd 编写于 作者: R Roman Donchenko 提交者: OpenCV Buildbot

Merge pull request #1327 from alalek:ocl_master_tests_fix

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