OpenCV453
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This is a base class for all more or less complex algorithms in OpenCV [詳解]
#include <core.hpp>
cv::AlignExposures, cv::BackgroundSubtractor, cv::BaseCascadeClassifier, cv::CLAHE, cv::CalibrateCRF, cv::DenseOpticalFlow, cv::DescriptorMatcher, cv::Feature2D [virtual]
, cv::GeneralizedHough, cv::HistogramCostExtractor, cv::LMSolver, cv::LineSegmentDetector, cv::MergeExposures, cv::MinProblemSolver, cv::ShapeDistanceExtractor, cv::ShapeTransformer, cv::SparseOpticalFlow, cv::StereoMatcher, cv::Tonemap, cv::bioinspired::Retina, cv::bioinspired::RetinaFastToneMapping, cv::bioinspired::TransientAreasSegmentationModule, cv::ccalib::CustomPattern, cv::dnn::Layer, cv::face::BIF, cv::face::FaceRecognizer, cv::face::Facemark [virtual]
, cv::face::MACE, cv::hfs::HfsSegment, cv::img_hash::ImgHashBase, cv::legacy::tracking::MultiTracker, cv::legacy::tracking::Tracker [virtual]
, cv::line_descriptor::BinaryDescriptor, cv::line_descriptor::BinaryDescriptorMatcher, cv::line_descriptor::LSDDetector, cv::mcc::CCheckerDetector, cv::optflow::GPCForest< T >, cv::optflow::GPCTree, cv::phase_unwrapping::PhaseUnwrapping [virtual]
, cv::quality::QualityBase [virtual]
, cv::rapid::Tracker, cv::rgbd::DepthCleaner, cv::rgbd::Odometry, cv::rgbd::RgbdNormals, cv::rgbd::RgbdPlane, cv::saliency::Saliency [virtual]
, cv::stereo::StereoMatcher, cv::structured_light::StructuredLightPattern [virtual]
, cv::superres::DenseOpticalFlowExt, cv::superres::SuperResolution, cv::text::ERFilter, cv::xfeatures2d::PCTSignatures, cv::xfeatures2d::PCTSignaturesSQFD, cv::ximgproc::ContourFitting, cv::ximgproc::EdgeBoxes, cv::ximgproc::EdgeDrawing, cv::ximgproc::FastLineDetector, cv::ximgproc::RidgeDetectionFilter, cv::ximgproc::segmentation::GraphSegmentation, cv::ximgproc::segmentation::SelectiveSearchSegmentation, cv::ximgproc::segmentation::SelectiveSearchSegmentationStrategy, cv::xphoto::WhiteBalancer (計62項目)に継承されています。
公開メンバ関数 | |
virtual CV_WRAP void | clear () |
Clears the algorithm state [詳解] | |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage [詳解] | |
CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。 | |
virtual CV_WRAP void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage [詳解] | |
virtual CV_WRAP bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解] | |
virtual CV_WRAP void | save (const String &filename) const |
virtual CV_WRAP String | getDefaultName () const |
静的公開メンバ関数 | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node [詳解] | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file [詳解] | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String [詳解] | |
限定公開メンバ関数 | |
void | writeFormat (FileStorage &fs) const |
This is a base class for all more or less complex algorithms in OpenCV
especially for classes of algorithms, for which there can be multiple implementations. The examples are stereo correspondence (for which there are algorithms like block matching, semi-global block matching, graph-cut etc.), background subtraction (which can be done using mixture-of-gaussians models, codebook-based algorithm etc.), optical flow (block matching, Lucas-Kanade, Horn-Schunck etc.).
Here is example of SimpleBlobDetector use in your application via Algorithm interface:
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inlinevirtual |
Clears the algorithm state
cv::DescriptorMatcher, cv::line_descriptor::BinaryDescriptorMatcher, cv::quality::QualityBase, cv::quality::QualityGMSD, cv::quality::QualityMSE, cv::quality::QualityPSNR, cv::quality::QualitySSIMで再実装されています。
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inlinevirtual |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
cv::face::BasicFaceRecognizer, cv::Feature2D, cv::DescriptorMatcher, cv::quality::QualityBase, cv::quality::QualityGMSD, cv::quality::QualityMSE, cv::quality::QualityPSNR, cv::quality::QualitySSIM, cv::face::FaceRecognizer, cv::BaseCascadeClassifierで再実装されています。
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virtual |
Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
cv::Feature2D, cv::AffineFeature, cv::SIFT, cv::BRISK, cv::ORB, cv::MSER, cv::FastFeatureDetector, cv::AgastFeatureDetector, cv::GFTTDetector, cv::SimpleBlobDetector, cv::KAZE, cv::AKAZEで再実装されています。
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inlinestatic |
Loads algorithm from the file
filename | Name of the file to read. |
objname | The optional name of the node to read (if empty, the first top-level node will be used) |
This is static template method of Algorithm. It's usage is following (in the case of SVM):
In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).
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inlinestatic |
Loads algorithm from a String
strModel | The string variable containing the model you want to load. |
objname | The optional name of the node to read (if empty, the first top-level node will be used) |
This is static template method of Algorithm. It's usage is following (in the case of SVM):
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inlinevirtual |
Reads algorithm parameters from a file storage
cv::line_descriptor::BinaryDescriptor, cv::Feature2D, cv::DescriptorMatcher, cv::face::BasicFaceRecognizer, cv::optflow::GPCTree, cv::optflow::GPCForest< T >, cv::saliency::StaticSaliencySpectralResidual, cv::face::FaceRecognizer, cv::face::BasicFaceRecognizer, cv::legacy::tracking::Trackerで再実装されています。
Reads algorithm from the file node
This is static template method of Algorithm. It's usage is following (in the case of SVM):
In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)
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virtual |
Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
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inlinevirtual |
Stores algorithm parameters in a file storage
cv::line_descriptor::BinaryDescriptor, cv::bioinspired::TransientAreasSegmentationModule, cv::Feature2D, cv::DescriptorMatcher, cv::face::BasicFaceRecognizer, cv::optflow::GPCTree, cv::optflow::GPCForest< T >, cv::saliency::StaticSaliencySpectralResidual, cv::bioinspired::Retina, cv::face::FaceRecognizer, cv::face::BasicFaceRecognizer, cv::legacy::tracking::Trackerで再実装されています。