OpenCV  3.4.11-pre
Open Source Computer Vision
Classes | Macros | Typedefs | Functions
objdetect_c.h File Reference
#include "opencv2/core/core_c.h"
#include <deque>
#include <vector>

Classes

struct  CvAvgComp
 
struct  CvHaarClassifier
 
struct  CvHaarClassifierCascade
 
struct  CvHaarFeature
 
struct  CvHaarStageClassifier
 

Macros

#define CV_HAAR_DO_CANNY_PRUNING   1
 
#define CV_HAAR_DO_ROUGH_SEARCH   8
 
#define CV_HAAR_FEATURE_MAX   3
 
#define CV_HAAR_FIND_BIGGEST_OBJECT   4
 
#define CV_HAAR_MAGIC_VAL   0x42500000
 
#define CV_HAAR_SCALE_IMAGE   2
 
#define CV_HAAR_STAGE_MAX   1000
 
#define CV_IS_HAAR_CLASSIFIER(haar)
 
#define CV_TYPE_NAME_HAAR   "opencv-haar-classifier"
 

Typedefs

typedef struct CvHidHaarClassifierCascade CvHidHaarClassifierCascade
 

Functions

CvSeqcvHaarDetectObjects (const CvArr *image, CvHaarClassifierCascade *cascade, CvMemStorage *storage, double scale_factor=1.1, int min_neighbors=3, int flags=0, CvSize min_size=cvSize(0, 0), CvSize max_size=cvSize(0, 0))
 
CvSeqcvHaarDetectObjectsForROC (const CvArr *image, CvHaarClassifierCascade *cascade, CvMemStorage *storage, std::vector< int > &rejectLevels, std::vector< double > &levelWeightds, double scale_factor=1.1, int min_neighbors=3, int flags=0, CvSize min_size=cvSize(0, 0), CvSize max_size=cvSize(0, 0), bool outputRejectLevels=false)
 
CvHaarClassifierCascadecvLoadHaarClassifierCascade (const char *directory, CvSize orig_window_size)
 
void cvReleaseHaarClassifierCascade (CvHaarClassifierCascade **cascade)
 
int cvRunHaarClassifierCascade (const CvHaarClassifierCascade *cascade, CvPoint pt, int start_stage=0)
 
void cvSetImagesForHaarClassifierCascade (CvHaarClassifierCascade *cascade, const CvArr *sum, const CvArr *sqsum, const CvArr *tilted_sum, double scale)
 

Function Documentation

◆ cvHaarDetectObjectsForROC()

CvSeq* cvHaarDetectObjectsForROC ( const CvArr image,
CvHaarClassifierCascade cascade,
CvMemStorage storage,
std::vector< int > &  rejectLevels,
std::vector< double > &  levelWeightds,
double  scale_factor = 1.1,
int  min_neighbors = 3,
int  flags = 0,
CvSize  min_size = cvSize(0, 0),
CvSize  max_size = cvSize(0, 0),
bool  outputRejectLevels = false 
)