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removed the old C API for Haar-based object detection; use CascadeClassifier from now on

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This commit is contained in:
Vadim Pisarevsky
2018-11-06 15:39:37 +03:00
parent 687fa6a8ca
commit b8175f8976
7 changed files with 12 additions and 2863 deletions
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modules/objdetect/test/test_cascadeandhog.cpp
-36
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@@ -404,7 +404,6 @@ protected:
virtual void readDetector( const FileNode& fn );
virtual void writeDetector( FileStorage& fs, int di );
virtual int detectMultiScale( int di, const Mat& img, vector<Rect>& objects );
virtual int detectMultiScale_C( const string& filename, int di, const Mat& img, vector<Rect>& objects );
vector<int> flags;
};
@@ -434,36 +433,6 @@ void CV_CascadeDetectorTest::writeDetector( FileStorage& fs, int di )
fs << C_SCALE_CASCADE << sc;
}
int CV_CascadeDetectorTest::detectMultiScale_C( const string& filename,
int di, const Mat& img,
vector<Rect>& objects )
{
Ptr<CvHaarClassifierCascade> c_cascade(cvLoadHaarClassifierCascade(filename.c_str(), cvSize(0,0)));
Ptr<CvMemStorage> storage(cvCreateMemStorage());
if( !c_cascade )
{
ts->printf( cvtest::TS::LOG, "cascade %s can not be opened");
return cvtest::TS::FAIL_INVALID_TEST_DATA;
}
Mat grayImg;
cvtColor( img, grayImg, COLOR_BGR2GRAY );
equalizeHist( grayImg, grayImg );
CvMat c_gray = cvMat(grayImg);
CvSeq* rs = cvHaarDetectObjects(&c_gray, c_cascade, storage, 1.1, 3, flags[di] );
objects.clear();
for( int i = 0; i < rs->total; i++ )
{
Rect r = *(Rect*)cvGetSeqElem(rs, i);
objects.push_back(r);
}
return cvtest::TS::OK;
}
int CV_CascadeDetectorTest::detectMultiScale( int di, const Mat& img,
vector<Rect>& objects)
{
@@ -471,11 +440,6 @@ int CV_CascadeDetectorTest::detectMultiScale( int di, const Mat& img,
filename = dataPath + detectorFilenames[di];
const string pattern = "haarcascade_frontalface_default.xml";
if( filename.size() >= pattern.size() &&
strcmp(filename.c_str() + (filename.size() - pattern.size()),
pattern.c_str()) == 0 )
return detectMultiScale_C(filename, di, img, objects);
CascadeClassifier cascade( filename );
if( cascade.empty() )
{