#include <objdetect.hpp>
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| CascadeClassifier () |
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| CascadeClassifier (const string &filename) |
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virtual | ~CascadeClassifier () |
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virtual bool | empty () const |
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bool | load (const string &filename) |
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virtual bool | read (const FileNode &node) |
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virtual void | detectMultiScale (const Mat &image, CV_OUT vector< Rect > &objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size()) |
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virtual void | detectMultiScale (const Mat &image, CV_OUT vector< Rect > &objects, vector< int > &rejectLevels, vector< double > &levelWeights, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size(), bool outputRejectLevels=false) |
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bool | isOldFormatCascade () const |
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virtual Size | getOriginalWindowSize () const |
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int | getFeatureType () const |
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bool | setImage (const Mat &) |
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void | setMaskGenerator (Ptr< MaskGenerator > maskGenerator) |
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Ptr< MaskGenerator > | getMaskGenerator () |
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void | setFaceDetectionMaskGenerator () |
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virtual bool | detectSingleScale (const Mat &image, int stripCount, Size processingRectSize, int stripSize, int yStep, double factor, vector< Rect > &candidates, vector< int > &rejectLevels, vector< double > &levelWeights, bool outputRejectLevels=false) |
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bool | setImage (Ptr< FeatureEvaluator > &feval, const Mat &image) |
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virtual int | runAt (Ptr< FeatureEvaluator > &feval, Point pt, double &weight) |
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§ anonymous enum
§ anonymous enum
Enumerator |
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DO_CANNY_PRUNING | |
SCALE_IMAGE | |
FIND_BIGGEST_OBJECT | |
DO_ROUGH_SEARCH | |
§ CascadeClassifier() [1/2]
cv::CascadeClassifier::CascadeClassifier |
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§ CascadeClassifier() [2/2]
cv::CascadeClassifier::CascadeClassifier |
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const string & |
filename | ) |
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§ ~CascadeClassifier()
virtual cv::CascadeClassifier::~CascadeClassifier |
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virtual |
§ detectMultiScale() [1/2]
virtual void cv::CascadeClassifier::detectMultiScale |
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const Mat & |
image, |
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CV_OUT vector< Rect > & |
objects, |
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double |
scaleFactor = 1.1 , |
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int |
minNeighbors = 3 , |
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int |
flags = 0 , |
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Size |
minSize = Size() , |
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Size |
maxSize = Size() |
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) |
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virtual |
§ detectMultiScale() [2/2]
virtual void cv::CascadeClassifier::detectMultiScale |
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const Mat & |
image, |
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CV_OUT vector< Rect > & |
objects, |
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vector< int > & |
rejectLevels, |
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vector< double > & |
levelWeights, |
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double |
scaleFactor = 1.1 , |
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int |
minNeighbors = 3 , |
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int |
flags = 0 , |
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Size |
minSize = Size() , |
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Size |
maxSize = Size() , |
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bool |
outputRejectLevels = false |
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) |
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virtual |
§ detectSingleScale()
virtual bool cv::CascadeClassifier::detectSingleScale |
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const Mat & |
image, |
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int |
stripCount, |
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Size |
processingRectSize, |
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int |
stripSize, |
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int |
yStep, |
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double |
factor, |
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vector< Rect > & |
candidates, |
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vector< int > & |
rejectLevels, |
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vector< double > & |
levelWeights, |
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bool |
outputRejectLevels = false |
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) |
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protectedvirtual |
§ empty()
virtual bool cv::CascadeClassifier::empty |
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const |
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virtual |
§ getFeatureType()
int cv::CascadeClassifier::getFeatureType |
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const |
§ getMaskGenerator()
§ getOriginalWindowSize()
virtual Size cv::CascadeClassifier::getOriginalWindowSize |
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const |
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§ isOldFormatCascade()
bool cv::CascadeClassifier::isOldFormatCascade |
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const |
§ load()
bool cv::CascadeClassifier::load |
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const string & |
filename | ) |
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§ read()
virtual bool cv::CascadeClassifier::read |
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const FileNode & |
node | ) |
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virtual |
§ runAt()
§ setFaceDetectionMaskGenerator()
void cv::CascadeClassifier::setFaceDetectionMaskGenerator |
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§ setImage() [1/2]
bool cv::CascadeClassifier::setImage |
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const Mat & |
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§ setImage() [2/2]
§ setMaskGenerator()
§ CascadeClassifierInvoker
friend class CascadeClassifierInvoker |
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friend |
§ predictCategorical
§ predictCategoricalStump
§ predictOrdered
§ predictOrderedStump
§ data
Data cv::CascadeClassifier::data |
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protected |
§ featureEvaluator
§ maskGenerator
§ oldCascade
The documentation for this class was generated from the following file: