Classes
Discriminant feature described by its location and label.
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Represents a modality operating over an image pyramid.
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Candidate feature with a score.
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Interface for modalities that plug into the LINE template matching representation.
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Modality that computes quantized gradient orientations from a color image.
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Modality that computes quantized surface normals from a dense depth map.
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Represents a successful template match.
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Object detector using the LINE template matching algorithm with any set of modalities.
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Namespaces
Macros
Typedefs
Enumerations
Functions
CvSeq *
cvHaarDetectObjectsForROC (const
CvArr *image,
CvHaarClassifierCascade *cascade,
CvMemStorage *storage, std::vector<
int > &rejectLevels, std::vector< double > &levelWeightds, double scale_factor
CV_DEFAULT(1.1),
int min_neighbors
CV_DEFAULT(3),
int flags CV_DEFAULT(0),
CvSize min_size
CV_DEFAULT(
cvSize(0, 0)),
CvSize max_size
CV_DEFAULT(
cvSize(0, 0)), bool outputRejectLevels=false)
void cv::groupRectangles (vector< Rect > &rectList, vector<
int > &rejectLevels, vector< double > &levelWeights,
int groupThreshold, double eps=0.2)
void cv::groupRectangles_meanshift (vector< Rect > &rectList, vector< double > &foundWeights, vector< double > &foundScales, double detectThreshold=0.0, Size winDetSize=Size(64, 128))
void cv::findDataMatrix (InputArray image,
CV_OUT vector< string > &codes, OutputArray corners=noArray(), OutputArrayOfArrays dmtx=noArray())
Debug function to colormap a quantized image for viewing.
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Factory function for detector using LINE algorithm with color gradients.
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Factory function for detector using LINE-MOD algorithm with color gradients and depth normals.
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Macro Definition Documentation
#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_IS_HAAR_CLASSIFIER
(
haar )
Value:((haar) != NULL && \
#define CV_MAGIC_MASK
Definition: core/include/opencv2/core/types_c.h:668
#define CV_HAAR_MAGIC_VAL
Definition: objdetect/objdetect.hpp:59
Definition: objdetect/objdetect.hpp:101
#define CV_TYPE_NAME_HAAR "opencv-haar-classifier"
Typedef Documentation
Function Documentation
double scale_factor
CV_DEFAULT1.1,
int min_neighbors
CV_DEFAULT3,
CvSize min_size
CV_DEFAULTcvSize(0, 0),
CvSize max_size
CV_DEFAULTcvSize(0, 0)
)
CvSeq* cvHaarDetectObjectsForROC
(
const
CvArr *
image,
std::vector<
int > &
rejectLevels,
std::vector< double > &
levelWeightds,
double scale_factor
CV_DEFAULT1.1,
int min_neighbors
CV_DEFAULT3,
CvSize min_size
CV_DEFAULTcvSize(0, 0),
CvSize max_size
CV_DEFAULTcvSize(0, 0),
bool
outputRejectLevels = false
)
float overlap_threshold
CV_DEFAULT0.5f,
int numThreads
CV_DEFAULT-1
)
int start_stage
CV_DEFAULT0
)
const
CvArr *
tilted_sum,
double
scale
)