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OpenCV453
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Base class for Super Resolution algorithms. [詳解]
#include <superres.hpp>
cv::Algorithm, cv::superres::FrameSourceを継承しています。
公開メンバ関数 | |
| void | setInput (const Ptr< FrameSource > &frameSource) |
| Set input frame source for Super Resolution algorithm. [詳解] | |
| void | nextFrame (OutputArray frame) CV_OVERRIDE |
| Process next frame from input and return output result. [詳解] | |
| void | reset () CV_OVERRIDE |
| virtual void | collectGarbage () |
| Clear all inner buffers. | |
| virtual int | getScale () const =0 |
| Scale factor [詳解] | |
| virtual void | setScale (int val)=0 |
| Scale factor [詳解] | |
| virtual int | getIterations () const =0 |
| Iterations count [詳解] | |
| virtual void | setIterations (int val)=0 |
| Iterations count [詳解] | |
| virtual double | getTau () const =0 |
| Asymptotic value of steepest descent method [詳解] | |
| virtual void | setTau (double val)=0 |
| Asymptotic value of steepest descent method [詳解] | |
| virtual double | getLambda () const =0 |
| Weight parameter to balance data term and smoothness term [詳解] | |
| virtual void | setLambda (double val)=0 |
| Weight parameter to balance data term and smoothness term [詳解] | |
| virtual double | getAlpha () const =0 |
| Parameter of spacial distribution in Bilateral-TV [詳解] | |
| virtual void | setAlpha (double val)=0 |
| Parameter of spacial distribution in Bilateral-TV [詳解] | |
| virtual int | getKernelSize () const =0 |
| Kernel size of Bilateral-TV filter [詳解] | |
| virtual void | setKernelSize (int val)=0 |
| Kernel size of Bilateral-TV filter [詳解] | |
| virtual int | getBlurKernelSize () const =0 |
| Gaussian blur kernel size [詳解] | |
| virtual void | setBlurKernelSize (int val)=0 |
| Gaussian blur kernel size [詳解] | |
| virtual double | getBlurSigma () const =0 |
| Gaussian blur sigma [詳解] | |
| virtual void | setBlurSigma (double val)=0 |
| Gaussian blur sigma [詳解] | |
| virtual int | getTemporalAreaRadius () const =0 |
| Radius of the temporal search area [詳解] | |
| virtual void | setTemporalAreaRadius (int val)=0 |
| Radius of the temporal search area [詳解] | |
| virtual Ptr< cv::superres::DenseOpticalFlowExt > | getOpticalFlow () const =0 |
| Dense optical flow algorithm [詳解] | |
| virtual void | setOpticalFlow (const Ptr< cv::superres::DenseOpticalFlowExt > &val)=0 |
| Dense optical flow algorithm [詳解] | |
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] | |
| 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 |
限定公開メンバ関数 | |
| virtual void | initImpl (Ptr< FrameSource > &frameSource)=0 |
| virtual void | processImpl (Ptr< FrameSource > &frameSource, OutputArray output)=0 |
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 |
限定公開変数類 | |
| bool | isUmat_ |
その他の継承メンバ | |
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] | |
Base class for Super Resolution algorithms.
The class is only used to define the common interface for the whole family of Super Resolution algorithms.
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pure virtual |
Parameter of spacial distribution in Bilateral-TV
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pure virtual |
Gaussian blur kernel size
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pure virtual |
Gaussian blur sigma
|
pure virtual |
Iterations count
|
pure virtual |
Kernel size of Bilateral-TV filter
|
pure virtual |
Weight parameter to balance data term and smoothness term
|
pure virtual |
Dense optical flow algorithm
|
pure virtual |
Scale factor
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pure virtual |
Asymptotic value of steepest descent method
|
pure virtual |
Radius of the temporal search area
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virtual |
Process next frame from input and return output result.
| frame | Output result |
cv::superres::FrameSourceを実装しています。
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virtual |
cv::superres::FrameSourceを実装しています。
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pure virtual |
Parameter of spacial distribution in Bilateral-TV
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pure virtual |
Gaussian blur kernel size
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pure virtual |
Gaussian blur sigma
| void cv::superres::SuperResolution::setInput | ( | const Ptr< FrameSource > & | frameSource | ) |
Set input frame source for Super Resolution algorithm.
| frameSource | Input frame source |
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pure virtual |
Iterations count
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pure virtual |
Kernel size of Bilateral-TV filter
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pure virtual |
Weight parameter to balance data term and smoothness term
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pure virtual |
Dense optical flow algorithm
|
pure virtual |
Scale factor
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pure virtual |
Asymptotic value of steepest descent method
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pure virtual |
Radius of the temporal search area