Fix the problem of haar caused by merge

This commit is contained in:
yao
2013-07-22 17:53:56 +08:00
parent 616dbd53f0
commit 3d3e9ab635
7 changed files with 55 additions and 791 deletions

View File

@@ -44,9 +44,7 @@
//M*/
#include "precomp.hpp"
#include "opencv2/objdetect.hpp"
#include "opencv2/objdetect/objdetect_c.h"
using namespace std;
using namespace cv;
@@ -188,18 +186,11 @@ INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
testing::Values(Size(64, 128), Size(48, 96)),
testing::Values(MatType(CV_8UC1), MatType(CV_8UC4))));
#if 0
///////////////////////////// Haar //////////////////////////////
IMPLEMENT_PARAM_CLASS(CascadeName, std::string);
CascadeName cascade_frontalface_alt(std::string("haarcascade_frontalface_alt.xml"));
CascadeName cascade_frontalface_alt2(std::string("haarcascade_frontalface_alt2.xml"));
struct getRect
{
Rect operator ()(const CvAvgComp &e) const
{
return e.rect;
}
};
PARAM_TEST_CASE(Haar, int, CascadeName)
{
@@ -234,49 +225,18 @@ PARAM_TEST_CASE(Haar, int, CascadeName)
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));
cpucascade.detectMultiScale(img, faces, 1.1, 3,
flags,
Size(30, 30), Size(0, 0));
EXPECT_LT(checkRectSimilarity(img.size(), faces, oclfaces), 1.0);
}
TEST_P(Haar, FaceDetectUseBuf)
{
ocl::OclCascadeClassifierBuf cascadebuf;
if(!cascadebuf.load(cascadeName))
{
std::cout << "ERROR: Could not load classifier cascade for FaceDetectUseBuf!" << std::endl;
return;
}
cascadebuf.detectMultiScale(d_img, oclfaces, 1.1, 3,
flags,
Size(30, 30), Size(0, 0));
cpucascade.detectMultiScale(img, faces, 1.1, 3,
flags,
Size(30, 30), Size(0, 0));
// intentionally run ocl facedetect again and check if it still works after the first run
cascadebuf.detectMultiScale(d_img, oclfaces, 1.1, 3,
flags,
Size(30, 30));
cascadebuf.release();
cpucascade.detectMultiScale(img, faces, 1.1, 3,
flags, Size(30, 30));
EXPECT_LT(checkRectSimilarity(img.size(), faces, oclfaces), 1.0);
}
INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, Haar,
Combine(Values(CV_HAAR_SCALE_IMAGE, 0),
Values(cascade_frontalface_alt/*, cascade_frontalface_alt2*/)));
#endif
Combine(Values((int)CASCADE_SCALE_IMAGE, 0),
Values(cascade_frontalface_alt, cascade_frontalface_alt2)));
#endif //HAVE_OPENCL