generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

add sanity check to performance tests for soft cascade

Browse Source
This commit is contained in:
marina.kolpakova 2012-10-15 18:13:58 +04:00
parent ca81628a9a
commit fa55d51b6a
1 changed files with 53 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

59
modules/gpu/perf/perf_softcascade.cpp
View File

@ -5,7 +5,7 @@
public:\
fixture##_##name() {}\
protected:\
virtual void __cpu();\
virtual void __cpu();\
virtual void __gpu();\
virtual void PerfTestBody();\
};\
@ -22,6 +22,44 @@
#define FAIL_NO_CPU(fixture, name)\
void fixture##_##name::__cpu() { FAIL() << "No such CPU implementation analogy";}
namespace {
struct DetectionLess
{
bool operator()(const cv::gpu::SoftCascade::Detection& a,
const cv::gpu::SoftCascade::Detection& b) const
{
if (a.x != b.x) return a.x < b.x;
else if (a.y != b.y) return a.y < b.y;
else if (a.w != b.w) return a.w < b.w;
else return a.h < b.h;
}
bool operator()(const cv::SoftCascade::Detection& a,
const cv::SoftCascade::Detection& b) const
{
const cv::Rect& ra = a.rect;
const cv::Rect& rb = b.rect;
if (ra.x != rb.x) return ra.x < rb.x;
else if (ra.y != rb.y) return ra.y < rb.y;
else if (ra.width != rb.width) return ra.width < rb.width;
else return ra.height < rb.height;
}
};
cv::Mat sortDetections(cv::gpu::GpuMat& objects)
{
cv::Mat detections(objects);
typedef cv::gpu::SoftCascade::Detection Detection;
Detection* begin = (Detection*)(detections.ptr<char>(0));
Detection* end = (Detection*)(detections.ptr<char>(0) + detections.cols);
std::sort(begin, end, DetectionLess());
return detections;
}
}
typedef std::tr1::tuple<std::string, std::string> fixture_t;
typedef perf::TestBaseWithParam<fixture_t> SoftCascadeTest;
@ -41,7 +79,7 @@ RUN_GPU(SoftCascadeTest, detect)
cv::gpu::SoftCascade cascade;
ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath(GET_PARAM(0))));
cv::gpu::GpuMat objectBoxes(1, 16384, CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1), trois;
cv::gpu::GpuMat objectBoxes(1, 10000 * sizeof(cv::gpu::SoftCascade::Detection), CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1), trois;
rois.setTo(1);
cv::gpu::transpose(rois, trois);
@ -53,6 +91,8 @@ RUN_GPU(SoftCascadeTest, detect)
curr = objectBoxes;
cascade.detectMultiScale(colored, trois, curr);
}
SANITY_CHECK(sortDetections(curr));
}
RUN_CPU(SoftCascadeTest, detect)
@ -66,13 +106,16 @@ RUN_CPU(SoftCascadeTest, detect)
std::vector<cv::Rect> rois;
typedef cv::SoftCascade::Detection Detection;
std::vector<Detection>objectBoxes;
cascade.detectMultiScale(colored, rois, objectBoxes);
std::vector<Detection>objects;
cascade.detectMultiScale(colored, rois, objects);
TEST_CYCLE()
{
cascade.detectMultiScale(colored, rois, objectBoxes);
cascade.detectMultiScale(colored, rois, objects);
}
std::sort(objects.begin(), objects.end(), DetectionLess());
SANITY_CHECK(objects);
}
static cv::Rect getFromTable(int idx)
@ -137,6 +180,8 @@ RUN_GPU(SoftCascadeTestRoi, detectInRoi)
curr = objectBoxes;
cascade.detectMultiScale(colored, trois, curr);
}
SANITY_CHECK(sortDetections(curr));
}
FAIL_NO_CPU(SoftCascadeTestRoi, detectInRoi)
@ -177,6 +222,8 @@ RUN_GPU(SoftCascadeTestRoi, detectEachRoi)
curr = objectBoxes;
cascade.detectMultiScale(colored, trois, curr);
}
SANITY_CHECK(sortDetections(curr));
}
FAIL_NO_CPU(SoftCascadeTestRoi, detectEachRoi)
FAIL_NO_CPU(SoftCascadeTestRoi, detectEachRoi)