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Merge pull request #1739 from pengx17:2.4_ocl_overload_haar

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This commit is contained in:
Andrey Pavlenko 2013-11-06 13:31:11 +04:00 committed by OpenCV Buildbot
commit 95767676b7
5 changed files with 32 additions and 57 deletions
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3
modules/ocl/include/opencv2/ocl/ocl.hpp
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@ -901,6 +901,9 @@ namespace cv
CvSeq* oclHaarDetectObjects(oclMat &gimg, CvMemStorage *storage, double scaleFactor,
int minNeighbors, int flags, CvSize minSize = cvSize(0, 0), CvSize maxSize = cvSize(0, 0));
void detectMultiScale(oclMat &image, CV_OUT std::vector<cv::Rect>& faces,
double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0,
Size minSize = Size(), Size maxSize = Size());
};
class CV_EXPORTS OclCascadeClassifierBuf : public cv::CascadeClassifier

40
modules/ocl/perf/perf_haar.cpp
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@ -48,44 +48,6 @@
using namespace perf;
///////////// Haar ////////////////////////
namespace cv
{
namespace ocl
{
struct getRect
{
Rect operator()(const CvAvgComp &e) const
{
return e.rect;
}
};
class CascadeClassifier_GPU : public OclCascadeClassifier
{
public:
void detectMultiScale(oclMat &image,
CV_OUT std::vector<cv::Rect>& faces,
double scaleFactor = 1.1,
int minNeighbors = 3, int flags = 0,
Size minSize = Size(),
Size maxSize = Size())
{
(void)maxSize;
MemStorage storage(cvCreateMemStorage(0));
//CvMat img=image;
CvSeq *objs = oclHaarDetectObjects(image, storage, scaleFactor, minNeighbors, flags, minSize);
vector<CvAvgComp> vecAvgComp;
Seq<CvAvgComp>(objs).copyTo(vecAvgComp);
faces.resize(vecAvgComp.size());
std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect());
}
};
}
}
PERF_TEST(HaarFixture, Haar)
{
vector<Rect> faces;
@ -107,7 +69,7 @@ PERF_TEST(HaarFixture, Haar)
}
else if (RUN_OCL_IMPL)
{
ocl::CascadeClassifier_GPU faceCascade;
ocl::OclCascadeClassifier faceCascade;
ocl::oclMat oclImg(img);
ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml")))

29
modules/ocl/src/haar.cpp
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@ -1186,6 +1186,28 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
return result_seq;
}
struct getRect
{
Rect operator()(const CvAvgComp &e) const
{
return e.rect;
}
};
void cv::ocl::OclCascadeClassifier::detectMultiScale(oclMat &gimg, CV_OUT std::vector<cv::Rect>& faces,
double scaleFactor, int minNeighbors, int flags,
Size minSize, Size maxSize)
{
CvSeq* _objects;
MemStorage storage(cvCreateMemStorage(0));
_objects = oclHaarDetectObjects(gimg, storage, scaleFactor, minNeighbors, flags, minSize, maxSize);
vector<CvAvgComp> vecAvgComp;
Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
faces.resize(vecAvgComp.size());
std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect());
}
struct OclBuffers
{
cl_mem stagebuffer;
@ -1197,13 +1219,6 @@ struct OclBuffers
cl_mem newnodebuffer;
};
struct getRect
{
Rect operator()(const CvAvgComp &e) const
{
return e.rect;
}
};
void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std::vector<cv::Rect>& faces,
double scaleFactor, int minNeighbors, int flags,

11
modules/ocl/test/test_objdetect.cpp
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@ -218,14 +218,9 @@ PARAM_TEST_CASE(Haar, int, CascadeName)
OCL_TEST_P(Haar, FaceDetect)
{
MemStorage storage(cvCreateMemStorage(0));
CvSeq *_objects;
_objects = cascade.oclHaarDetectObjects(d_img, storage, 1.1, 3,
flags, Size(30, 30), Size(0, 0));
vector<CvAvgComp> vecAvgComp;
Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
oclfaces.resize(vecAvgComp.size());
std::transform(vecAvgComp.begin(), vecAvgComp.end(), oclfaces.begin(), getRect());
cascade.detectMultiScale(d_img, oclfaces, 1.1, 3,
flags,
Size(30, 30), Size(0, 0));
cpucascade.detectMultiScale(img, faces, 1.1, 3,
flags,

6
samples/ocl/facedetect.cpp
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@ -41,7 +41,7 @@ static double getTime()
static void detect( Mat& img, vector<Rect>& faces,
ocl::OclCascadeClassifierBuf& cascade,
ocl::OclCascadeClassifier& cascade,
double scale, bool calTime);
@ -87,7 +87,7 @@ int main( int argc, const char** argv )
outputName = cmd.get<string>("o");
string cascadeName = cmd.get<string>("t");
double scale = cmd.get<double>("c");
ocl::OclCascadeClassifierBuf cascade;
ocl::OclCascadeClassifier cascade;
CascadeClassifier cpu_cascade;
if( !cascade.load( cascadeName ) || !cpu_cascade.load(cascadeName) )
@ -180,7 +180,7 @@ int main( int argc, const char** argv )
}
void detect( Mat& img, vector<Rect>& faces,
ocl::OclCascadeClassifierBuf& cascade,
ocl::OclCascadeClassifier& cascade,
double scale, bool calTime)
{
ocl::oclMat image(img);