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call resetDevice if gpu test fails

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This commit is contained in:
Vladislav Vinogradov
2012-12-18 16:59:00 +04:00
parent 0973e86d8a
commit ab25fe9e37
36 changed files with 9551 additions and 5795 deletions
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277
modules/gpu/test/test_softcascade.cpp
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@@ -40,7 +40,7 @@
//
//M*/
#include <test_precomp.hpp>
#include "test_precomp.hpp"
#include <time.h>
#ifdef HAVE_CUDA
@@ -158,62 +158,77 @@ GPU_TEST_P(SCascadeTestRoi, detect,
testing::Values(std::string("../cv/cascadeandhog/bahnhof/image_00000000_0.png")),
testing::Range(0, 5)))
{
cv::gpu::setDevice(GET_PARAM(0).deviceID());
cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path() + GET_PARAM(2));
ASSERT_FALSE(coloredCpu.empty());
cv::gpu::SCascade cascade;
cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(1)), cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
GpuMat colored(coloredCpu), objectBoxes(1, 16384, CV_8UC1), rois(colored.size(), CV_8UC1);
rois.setTo(0);
int nroi = GET_PARAM(3);
cv::Mat result(coloredCpu);
cv::RNG rng;
for (int i = 0; i < nroi; ++i)
try
{
cv::Rect r = getFromTable(rng(10));
GpuMat sub(rois, r);
sub.setTo(1);
cv::rectangle(result, r, cv::Scalar(0, 0, 255, 255), 1);
cv::gpu::setDevice(GET_PARAM(0).deviceID());
cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path() + GET_PARAM(2));
ASSERT_FALSE(coloredCpu.empty());
cv::gpu::SCascade cascade;
cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(1)), cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
GpuMat colored(coloredCpu), objectBoxes(1, 16384, CV_8UC1), rois(colored.size(), CV_8UC1);
rois.setTo(0);
int nroi = GET_PARAM(3);
cv::Mat result(coloredCpu);
cv::RNG rng;
for (int i = 0; i < nroi; ++i)
{
cv::Rect r = getFromTable(rng(10));
GpuMat sub(rois, r);
sub.setTo(1);
cv::rectangle(result, r, cv::Scalar(0, 0, 255, 255), 1);
}
objectBoxes.setTo(0);
cascade.detect(colored, rois, objectBoxes);
cv::Mat dt(objectBoxes);
typedef cv::gpu::SCascade::Detection Detection;
Detection* dts = ((Detection*)dt.data) + 1;
int* count = dt.ptr<int>(0);
printTotal(std::cout, *count);
for (int i = 0; i < *count; ++i)
{
Detection d = dts[i];
print(std::cout, d);
cv::rectangle(result, cv::Rect(d.x, d.y, d.w, d.h), cv::Scalar(255, 0, 0, 255), 1);
}
SHOW(result);
}
objectBoxes.setTo(0);
cascade.detect(colored, rois, objectBoxes);
cv::Mat dt(objectBoxes);
typedef cv::gpu::SCascade::Detection Detection;
Detection* dts = ((Detection*)dt.data) + 1;
int* count = dt.ptr<int>(0);
printTotal(std::cout, *count);
for (int i = 0; i < *count; ++i)
catch (...)
{
Detection d = dts[i];
print(std::cout, d);
cv::rectangle(result, cv::Rect(d.x, d.y, d.w, d.h), cv::Scalar(255, 0, 0, 255), 1);
cv::gpu::resetDevice();
throw;
}
SHOW(result);
}
TEST(SCascadeTest, readCascade)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/icf-template.xml";
cv::gpu::SCascade cascade;
try
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/icf-template.xml";
cv::gpu::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
}
catch (...)
{
cv::gpu::resetDevice();
throw;
}
}
typedef ::testing::TestWithParam<cv::gpu::DeviceInfo > SCascadeTestAll;
@@ -221,105 +236,129 @@ GPU_TEST_P(SCascadeTestAll, detect,
ALL_DEVICES
)
{
cv::gpu::setDevice(GetParam().deviceID());
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SCascade cascade;
try
{
cv::gpu::setDevice(GetParam().deviceID());
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path()
+ "../cv/cascadeandhog/bahnhof/image_00000000_0.png");
ASSERT_FALSE(coloredCpu.empty());
cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path()
+ "../cv/cascadeandhog/bahnhof/image_00000000_0.png");
ASSERT_FALSE(coloredCpu.empty());
GpuMat colored(coloredCpu), objectBoxes, rois(colored.size(), CV_8UC1);
rois.setTo(0);
GpuMat sub(rois, cv::Rect(rois.cols / 4, rois.rows / 4,rois.cols / 2, rois.rows / 2));
sub.setTo(cv::Scalar::all(1));
GpuMat colored(coloredCpu), objectBoxes, rois(colored.size(), CV_8UC1);
rois.setTo(0);
GpuMat sub(rois, cv::Rect(rois.cols / 4, rois.rows / 4,rois.cols / 2, rois.rows / 2));
sub.setTo(cv::Scalar::all(1));
objectBoxes.setTo(0);
cascade.detect(colored, rois, objectBoxes);
objectBoxes.setTo(0);
cascade.detect(colored, rois, objectBoxes);
typedef cv::gpu::SCascade::Detection Detection;
cv::Mat detections(objectBoxes);
int a = *(detections.ptr<int>(0));
ASSERT_EQ(a ,2448);
typedef cv::gpu::SCascade::Detection Detection;
cv::Mat detections(objectBoxes);
int a = *(detections.ptr<int>(0));
ASSERT_EQ(a, 2448);
}
catch (...)
{
cv::gpu::resetDevice();
throw;
}
}
GPU_TEST_P(SCascadeTestAll, detectOnIntegral,
ALL_DEVICES
)
{
cv::gpu::setDevice(GetParam().deviceID());
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
std::string intPath = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/integrals.xml";
cv::FileStorage fsi(intPath, cv::FileStorage::READ);
ASSERT_TRUE(fsi.isOpened());
GpuMat hogluv(121 * 10, 161, CV_32SC1);
for (int i = 0; i < 10; ++i)
try
{
cv::Mat channel;
fsi[std::string("channel") + itoa(i)] >> channel;
GpuMat gchannel(hogluv, cv::Rect(0, 121 * i, 161, 121));
gchannel.upload(channel);
cv::gpu::setDevice(GetParam().deviceID());
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
std::string intPath = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/integrals.xml";
cv::FileStorage fsi(intPath, cv::FileStorage::READ);
ASSERT_TRUE(fsi.isOpened());
GpuMat hogluv(121 * 10, 161, CV_32SC1);
for (int i = 0; i < 10; ++i)
{
cv::Mat channel;
fsi[std::string("channel") + itoa(i)] >> channel;
GpuMat gchannel(hogluv, cv::Rect(0, 121 * i, 161, 121));
gchannel.upload(channel);
}
GpuMat objectBoxes(1, 100000, CV_8UC1), rois(cv::Size(640, 480), CV_8UC1);
rois.setTo(1);
objectBoxes.setTo(0);
cascade.detect(hogluv, rois, objectBoxes);
typedef cv::gpu::SCascade::Detection Detection;
cv::Mat detections(objectBoxes);
int a = *(detections.ptr<int>(0));
ASSERT_EQ(a, 1024);
}
catch (...)
{
cv::gpu::resetDevice();
throw;
}
GpuMat objectBoxes(1, 100000, CV_8UC1), rois(cv::Size(640, 480), CV_8UC1);
rois.setTo(1);
objectBoxes.setTo(0);
cascade.detect(hogluv, rois, objectBoxes);
typedef cv::gpu::SCascade::Detection Detection;
cv::Mat detections(objectBoxes);
int a = *(detections.ptr<int>(0));
ASSERT_EQ( a ,1024);
}
GPU_TEST_P(SCascadeTestAll, detectStream,
ALL_DEVICES
)
{
cv::gpu::setDevice(GetParam().deviceID());
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SCascade cascade;
try
{
cv::gpu::setDevice(GetParam().deviceID());
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path()
+ "../cv/cascadeandhog/bahnhof/image_00000000_0.png");
ASSERT_FALSE(coloredCpu.empty());
cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path()
+ "../cv/cascadeandhog/bahnhof/image_00000000_0.png");
ASSERT_FALSE(coloredCpu.empty());
GpuMat colored(coloredCpu), objectBoxes(1, 100000, CV_8UC1), rois(colored.size(), CV_8UC1);
rois.setTo(0);
GpuMat sub(rois, cv::Rect(rois.cols / 4, rois.rows / 4,rois.cols / 2, rois.rows / 2));
sub.setTo(cv::Scalar::all(1));
GpuMat colored(coloredCpu), objectBoxes(1, 100000, CV_8UC1), rois(colored.size(), CV_8UC1);
rois.setTo(0);
GpuMat sub(rois, cv::Rect(rois.cols / 4, rois.rows / 4,rois.cols / 2, rois.rows / 2));
sub.setTo(cv::Scalar::all(1));
cv::gpu::Stream s;
cv::gpu::Stream s;
objectBoxes.setTo(0);
cascade.detect(colored, rois, objectBoxes, s);
s.waitForCompletion();
objectBoxes.setTo(0);
cascade.detect(colored, rois, objectBoxes, s);
s.waitForCompletion();
typedef cv::gpu::SCascade::Detection Detection;
cv::Mat detections(objectBoxes);
int a = *(detections.ptr<int>(0));
ASSERT_EQ(a ,2448);
typedef cv::gpu::SCascade::Detection Detection;
cv::Mat detections(objectBoxes);
int a = *(detections.ptr<int>(0));
ASSERT_EQ(a, 2448);
}
catch (...)
{
cv::gpu::resetDevice();
throw;
}
}
#endif
#endif