generic-library/opencv
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fixed bug with submatrix in some gpu functions

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update gpu tests
This commit is contained in:
Vladislav Vinogradov
2012-01-10 11:11:58 +00:00
parent 2ce6dd6870
commit af59a75ffc
25 changed files with 1777 additions and 2486 deletions
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42
modules/gpu/test/test_nvidia.cpp
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@@ -43,6 +43,9 @@
#ifdef HAVE_CUDA
using namespace cvtest;
using namespace testing;
enum OutputLevel
{
OutputLevelNone,
@@ -62,27 +65,22 @@ bool nvidia_NCV_Haar_Cascade_Application(const std::string& test_data_path, Outp
bool nvidia_NCV_Hypotheses_Filtration(const std::string& test_data_path, OutputLevel outputLevel);
bool nvidia_NCV_Visualization(const std::string& test_data_path, OutputLevel outputLevel);
struct NVidiaTest : testing::TestWithParam<cv::gpu::DeviceInfo>
struct NVidiaTest : TestWithParam<cv::gpu::DeviceInfo>
{
static std::string path;
cv::gpu::DeviceInfo devInfo;
static void SetUpTestCase()
{
path = std::string(cvtest::TS::ptr()->get_data_path()) + "haarcascade/";
}
std::string path;
virtual void SetUp()
{
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
path = std::string(TS::ptr()->get_data_path()) + "haarcascade/";
}
};
std::string NVidiaTest::path;
struct NPPST : NVidiaTest {};
struct NCV : NVidiaTest {};
@@ -90,8 +88,6 @@ OutputLevel nvidiaTestOutputLevel = OutputLevelNone;
TEST_P(NPPST, Integral)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -103,8 +99,6 @@ TEST_P(NPPST, Integral)
TEST_P(NPPST, SquaredIntegral)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -116,8 +110,6 @@ TEST_P(NPPST, SquaredIntegral)
TEST_P(NPPST, RectStdDev)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -129,8 +121,6 @@ TEST_P(NPPST, RectStdDev)
TEST_P(NPPST, Resize)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -142,8 +132,6 @@ TEST_P(NPPST, Resize)
TEST_P(NPPST, VectorOperations)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -155,8 +143,6 @@ TEST_P(NPPST, VectorOperations)
TEST_P(NPPST, Transpose)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -168,8 +154,6 @@ TEST_P(NPPST, Transpose)
TEST_P(NCV, VectorOperations)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -181,8 +165,6 @@ TEST_P(NCV, VectorOperations)
TEST_P(NCV, HaarCascadeLoader)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -194,8 +176,6 @@ TEST_P(NCV, HaarCascadeLoader)
TEST_P(NCV, HaarCascadeApplication)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -207,8 +187,6 @@ TEST_P(NCV, HaarCascadeApplication)
TEST_P(NCV, HypothesesFiltration)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -220,8 +198,6 @@ TEST_P(NCV, HypothesesFiltration)
TEST_P(NCV, Visualization)
{
PRINT_PARAM(devInfo);
bool res;
ASSERT_NO_THROW(
@@ -231,7 +207,7 @@ TEST_P(NCV, Visualization)
ASSERT_TRUE(res);
}
INSTANTIATE_TEST_CASE_P(NVidia, NPPST, testing::ValuesIn(devices()));
INSTANTIATE_TEST_CASE_P(NVidia, NCV, testing::ValuesIn(devices()));
INSTANTIATE_TEST_CASE_P(NVidia, NPPST, ALL_DEVICES);
INSTANTIATE_TEST_CASE_P(NVidia, NCV, ALL_DEVICES);
#endif // HAVE_CUDA