Wrapping class for feature detection using the goodFeaturesToTrack function. : [詳解]
#include <features2d.hpp>
cv::Feature2Dを継承しています。
公開メンバ関数 | |
| virtual CV_WRAP void | setMaxFeatures (int maxFeatures)=0 |
| virtual CV_WRAP int | getMaxFeatures () const =0 |
| virtual CV_WRAP void | setQualityLevel (double qlevel)=0 |
| virtual CV_WRAP double | getQualityLevel () const =0 |
| virtual CV_WRAP void | setMinDistance (double minDistance)=0 |
| virtual CV_WRAP double | getMinDistance () const =0 |
| virtual CV_WRAP void | setBlockSize (int blockSize)=0 |
| virtual CV_WRAP int | getBlockSize () const =0 |
| virtual CV_WRAP void | setHarrisDetector (bool val)=0 |
| virtual CV_WRAP bool | getHarrisDetector () const =0 |
| virtual CV_WRAP void | setK (double k)=0 |
| virtual CV_WRAP double | getK () const =0 |
| virtual CV_WRAP String | getDefaultName () const CV_OVERRIDE |
 基底クラス cv::Feature2D に属する継承公開メンバ関数 | |
| virtual CV_WRAP void | detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray()) |
| Detects keypoints in an image (first variant) or image set (second variant). [詳解] | |
| virtual CV_WRAP void | detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
| virtual CV_WRAP void | compute (InputArray image, CV_OUT CV_IN_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors) |
| Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). [詳解] | |
| virtual CV_WRAP void | compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
| virtual CV_WRAP void | detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
| virtual CV_WRAP int | descriptorSize () const |
| virtual CV_WRAP int | descriptorType () const |
| virtual CV_WRAP int | defaultNorm () const |
| CV_WRAP void | write (const String &fileName) const |
| CV_WRAP void | read (const String &fileName) |
| virtual void | write (FileStorage &) const CV_OVERRIDE |
| Stores algorithm parameters in a file storage [詳解] | |
| virtual CV_WRAP void | read (const FileNode &) CV_OVERRIDE |
| Reads algorithm parameters from a file storage [詳解] | |
| virtual CV_WRAP bool | empty () const CV_OVERRIDE |
| Return true if detector object is empty [詳解] | |
| CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| 基底クラス cv::Algorithm に属する継承公開メンバ関数 | |
| virtual CV_WRAP void | clear () |
| Clears the algorithm state [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 | save (const String &filename) const |
静的公開メンバ関数 | |
| static CV_WRAP Ptr< GFTTDetector > | create (int maxCorners=1000, double qualityLevel=0.01, double minDistance=1, int blockSize=3, bool useHarrisDetector=false, double k=0.04) |
| static CV_WRAP Ptr< GFTTDetector > | create (int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector=false, double k=0.04) |
| 基底クラス cv::Algorithm に属する継承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] | |
その他の継承メンバ | |
| 基底クラス cv::Algorithm に属する継承限定公開メンバ関数 | |
| void | writeFormat (FileStorage &fs) const |
詳解
Wrapping class for feature detection using the goodFeaturesToTrack function. :
関数詳解
◆ getDefaultName()
|
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を再実装しています。
このクラス詳解は次のファイルから抽出されました:
