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video: apply CV_OVERRIDE/CV_FINAL
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@ -205,7 +205,7 @@ public:
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rate. 0 means that the background model is not updated at all, 1 means that the background model
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is completely reinitialized from the last frame.
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*/
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CV_WRAP virtual void apply(InputArray image, OutputArray fgmask, double learningRate=-1) = 0;
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CV_WRAP virtual void apply(InputArray image, OutputArray fgmask, double learningRate=-1) CV_OVERRIDE = 0;
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};
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/** @brief Creates MOG2 Background Subtractor
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@ -64,7 +64,7 @@ static const float defaultDist2Threshold = 20.0f*20.0f;//threshold on distance f
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static const unsigned char defaultnShadowDetection2 = (unsigned char)127; // value to use in the segmentation mask for shadows, set 0 not to do shadow detection
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static const float defaultfTau = 0.5f; // Tau - shadow threshold, see the paper for explanation
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class BackgroundSubtractorKNNImpl : public BackgroundSubtractorKNN
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class BackgroundSubtractorKNNImpl CV_FINAL : public BackgroundSubtractorKNN
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{
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public:
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//! the default constructor
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@ -128,12 +128,12 @@ public:
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#endif
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}
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//! the destructor
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~BackgroundSubtractorKNNImpl() {}
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~BackgroundSubtractorKNNImpl() CV_OVERRIDE {}
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//! the update operator
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void apply(InputArray image, OutputArray fgmask, double learningRate=-1);
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void apply(InputArray image, OutputArray fgmask, double learningRate) CV_OVERRIDE;
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//! computes a background image which are the mean of all background gaussians
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virtual void getBackgroundImage(OutputArray backgroundImage) const;
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virtual void getBackgroundImage(OutputArray backgroundImage) const CV_OVERRIDE;
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//! re-initialization method
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void initialize(Size _frameSize, int _frameType)
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@ -214,20 +214,20 @@ public:
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}
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}
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virtual int getHistory() const { return history; }
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virtual void setHistory(int _nframes) { history = _nframes; }
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virtual int getHistory() const CV_OVERRIDE { return history; }
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virtual void setHistory(int _nframes) CV_OVERRIDE { history = _nframes; }
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virtual int getNSamples() const { return nN; }
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virtual void setNSamples(int _nN) { nN = _nN; }//needs reinitialization!
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virtual int getNSamples() const CV_OVERRIDE { return nN; }
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virtual void setNSamples(int _nN) CV_OVERRIDE { nN = _nN; }//needs reinitialization!
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virtual int getkNNSamples() const { return nkNN; }
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virtual void setkNNSamples(int _nkNN) { nkNN = _nkNN; }
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virtual int getkNNSamples() const CV_OVERRIDE { return nkNN; }
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virtual void setkNNSamples(int _nkNN) CV_OVERRIDE { nkNN = _nkNN; }
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virtual double getDist2Threshold() const { return fTb; }
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virtual void setDist2Threshold(double _dist2Threshold) { fTb = (float)_dist2Threshold; }
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virtual double getDist2Threshold() const CV_OVERRIDE { return fTb; }
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virtual void setDist2Threshold(double _dist2Threshold) CV_OVERRIDE { fTb = (float)_dist2Threshold; }
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virtual bool getDetectShadows() const { return bShadowDetection; }
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virtual void setDetectShadows(bool detectshadows)
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virtual bool getDetectShadows() const CV_OVERRIDE { return bShadowDetection; }
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virtual void setDetectShadows(bool detectshadows) CV_OVERRIDE
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{
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if ((bShadowDetection && detectshadows) || (!bShadowDetection && !detectshadows))
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return;
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@ -241,13 +241,13 @@ public:
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#endif
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}
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virtual int getShadowValue() const { return nShadowDetection; }
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virtual void setShadowValue(int value) { nShadowDetection = (uchar)value; }
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virtual int getShadowValue() const CV_OVERRIDE { return nShadowDetection; }
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virtual void setShadowValue(int value) CV_OVERRIDE { nShadowDetection = (uchar)value; }
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virtual double getShadowThreshold() const { return fTau; }
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virtual void setShadowThreshold(double value) { fTau = (float)value; }
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virtual double getShadowThreshold() const CV_OVERRIDE { return fTau; }
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virtual void setShadowThreshold(double value) CV_OVERRIDE { fTau = (float)value; }
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virtual void write(FileStorage& fs) const
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virtual void write(FileStorage& fs) const CV_OVERRIDE
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{
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writeFormat(fs);
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fs << "name" << name_
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@ -260,7 +260,7 @@ public:
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<< "shadowThreshold" << fTau;
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}
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virtual void read(const FileNode& fn)
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virtual void read(const FileNode& fn) CV_OVERRIDE
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{
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CV_Assert( (String)fn["name"] == name_ );
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history = (int)fn["history"];
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@ -546,7 +546,7 @@ public:
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m_nShadowDetection = _nShadowDetection;
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}
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void operator()(const Range& range) const
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void operator()(const Range& range) const CV_OVERRIDE
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{
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int y0 = range.start, y1 = range.end;
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int ncols = src->cols, nchannels = src->channels();
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@ -118,7 +118,7 @@ static const unsigned char defaultnShadowDetection2 = (unsigned char)127; // val
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static const float defaultfTau = 0.5f; // Tau - shadow threshold, see the paper for explanation
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class BackgroundSubtractorMOG2Impl : public BackgroundSubtractorMOG2
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class BackgroundSubtractorMOG2Impl CV_FINAL : public BackgroundSubtractorMOG2
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{
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public:
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//! the default constructor
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@ -174,12 +174,12 @@ public:
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#endif
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}
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//! the destructor
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~BackgroundSubtractorMOG2Impl() {}
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~BackgroundSubtractorMOG2Impl() CV_OVERRIDE {}
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//! the update operator
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void apply(InputArray image, OutputArray fgmask, double learningRate=-1);
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void apply(InputArray image, OutputArray fgmask, double learningRate) CV_OVERRIDE;
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//! computes a background image which are the mean of all background gaussians
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virtual void getBackgroundImage(OutputArray backgroundImage) const;
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virtual void getBackgroundImage(OutputArray backgroundImage) const CV_OVERRIDE;
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//! re-initiaization method
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void initialize(Size _frameSize, int _frameType)
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@ -236,35 +236,35 @@ public:
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}
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}
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virtual int getHistory() const { return history; }
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virtual void setHistory(int _nframes) { history = _nframes; }
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virtual int getHistory() const CV_OVERRIDE { return history; }
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virtual void setHistory(int _nframes) CV_OVERRIDE { history = _nframes; }
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virtual int getNMixtures() const { return nmixtures; }
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virtual void setNMixtures(int nmix) { nmixtures = nmix; }
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virtual int getNMixtures() const CV_OVERRIDE { return nmixtures; }
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virtual void setNMixtures(int nmix) CV_OVERRIDE { nmixtures = nmix; }
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virtual double getBackgroundRatio() const { return backgroundRatio; }
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virtual void setBackgroundRatio(double _backgroundRatio) { backgroundRatio = (float)_backgroundRatio; }
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virtual double getBackgroundRatio() const CV_OVERRIDE { return backgroundRatio; }
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virtual void setBackgroundRatio(double _backgroundRatio) CV_OVERRIDE { backgroundRatio = (float)_backgroundRatio; }
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virtual double getVarThreshold() const { return varThreshold; }
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virtual void setVarThreshold(double _varThreshold) { varThreshold = _varThreshold; }
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virtual double getVarThreshold() const CV_OVERRIDE { return varThreshold; }
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virtual void setVarThreshold(double _varThreshold) CV_OVERRIDE { varThreshold = _varThreshold; }
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virtual double getVarThresholdGen() const { return varThresholdGen; }
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virtual void setVarThresholdGen(double _varThresholdGen) { varThresholdGen = (float)_varThresholdGen; }
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virtual double getVarThresholdGen() const CV_OVERRIDE { return varThresholdGen; }
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virtual void setVarThresholdGen(double _varThresholdGen) CV_OVERRIDE { varThresholdGen = (float)_varThresholdGen; }
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virtual double getVarInit() const { return fVarInit; }
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virtual void setVarInit(double varInit) { fVarInit = (float)varInit; }
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virtual double getVarInit() const CV_OVERRIDE { return fVarInit; }
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virtual void setVarInit(double varInit) CV_OVERRIDE { fVarInit = (float)varInit; }
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virtual double getVarMin() const { return fVarMin; }
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virtual void setVarMin(double varMin) { fVarMin = (float)varMin; }
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virtual double getVarMin() const CV_OVERRIDE { return fVarMin; }
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virtual void setVarMin(double varMin) CV_OVERRIDE { fVarMin = (float)varMin; }
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virtual double getVarMax() const { return fVarMax; }
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virtual void setVarMax(double varMax) { fVarMax = (float)varMax; }
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virtual double getVarMax() const CV_OVERRIDE { return fVarMax; }
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virtual void setVarMax(double varMax) CV_OVERRIDE { fVarMax = (float)varMax; }
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virtual double getComplexityReductionThreshold() const { return fCT; }
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virtual void setComplexityReductionThreshold(double ct) { fCT = (float)ct; }
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virtual double getComplexityReductionThreshold() const CV_OVERRIDE { return fCT; }
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virtual void setComplexityReductionThreshold(double ct) CV_OVERRIDE { fCT = (float)ct; }
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virtual bool getDetectShadows() const { return bShadowDetection; }
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virtual void setDetectShadows(bool detectshadows)
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virtual bool getDetectShadows() const CV_OVERRIDE { return bShadowDetection; }
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virtual void setDetectShadows(bool detectshadows) CV_OVERRIDE
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{
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if ((bShadowDetection && detectshadows) || (!bShadowDetection && !detectshadows))
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return;
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@ -278,13 +278,13 @@ public:
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#endif
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}
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virtual int getShadowValue() const { return nShadowDetection; }
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virtual void setShadowValue(int value) { nShadowDetection = (uchar)value; }
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virtual int getShadowValue() const CV_OVERRIDE { return nShadowDetection; }
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virtual void setShadowValue(int value) CV_OVERRIDE { nShadowDetection = (uchar)value; }
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virtual double getShadowThreshold() const { return fTau; }
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virtual void setShadowThreshold(double value) { fTau = (float)value; }
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virtual double getShadowThreshold() const CV_OVERRIDE { return fTau; }
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virtual void setShadowThreshold(double value) CV_OVERRIDE { fTau = (float)value; }
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virtual void write(FileStorage& fs) const
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virtual void write(FileStorage& fs) const CV_OVERRIDE
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{
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writeFormat(fs);
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fs << "name" << name_
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@ -302,7 +302,7 @@ public:
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<< "shadowThreshold" << fTau;
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}
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virtual void read(const FileNode& fn)
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virtual void read(const FileNode& fn) CV_OVERRIDE
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{
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CV_Assert( (String)fn["name"] == name_ );
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history = (int)fn["history"];
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@ -565,7 +565,7 @@ public:
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shadowVal = _shadowVal;
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}
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void operator()(const Range& range) const
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void operator()(const Range& range) const CV_OVERRIDE
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{
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int y0 = range.start, y1 = range.end;
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int ncols = src->cols, nchannels = src->channels();
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{
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}
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virtual Size getWinSize() const {return winSize;}
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virtual void setWinSize(Size winSize_){winSize = winSize_;}
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virtual Size getWinSize() const CV_OVERRIDE { return winSize;}
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virtual void setWinSize(Size winSize_) CV_OVERRIDE { winSize = winSize_;}
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virtual int getMaxLevel() const {return maxLevel;}
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virtual void setMaxLevel(int maxLevel_){maxLevel = maxLevel_;}
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virtual int getMaxLevel() const CV_OVERRIDE { return maxLevel;}
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virtual void setMaxLevel(int maxLevel_) CV_OVERRIDE { maxLevel = maxLevel_;}
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virtual TermCriteria getTermCriteria() const {return criteria;}
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virtual void setTermCriteria(TermCriteria& crit_){criteria=crit_;}
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virtual TermCriteria getTermCriteria() const CV_OVERRIDE { return criteria;}
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virtual void setTermCriteria(TermCriteria& crit_) CV_OVERRIDE { criteria=crit_;}
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virtual int getFlags() const {return flags; }
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virtual void setFlags(int flags_){flags=flags_;}
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virtual int getFlags() const CV_OVERRIDE { return flags; }
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virtual void setFlags(int flags_) CV_OVERRIDE { flags=flags_;}
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virtual double getMinEigThreshold() const {return minEigThreshold;}
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virtual void setMinEigThreshold(double minEigThreshold_){minEigThreshold=minEigThreshold_;}
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virtual double getMinEigThreshold() const CV_OVERRIDE { return minEigThreshold;}
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virtual void setMinEigThreshold(double minEigThreshold_) CV_OVERRIDE { minEigThreshold=minEigThreshold_;}
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virtual void calc(InputArray prevImg, InputArray nextImg,
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InputArray prevPts, InputOutputArray nextPts,
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OutputArray status,
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OutputArray err = cv::noArray());
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OutputArray err = cv::noArray()) CV_OVERRIDE;
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private:
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#ifdef HAVE_OPENCL
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Size _winSize, TermCriteria _criteria,
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int _level, int _maxLevel, int _flags, float _minEigThreshold );
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void operator()(const Range& range) const;
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void operator()(const Range& range) const CV_OVERRIDE;
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const Mat* prevImg;
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const Mat* nextImg;
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{
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}
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virtual int getNumLevels() const { return numLevels_; }
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virtual void setNumLevels(int numLevels) { numLevels_ = numLevels; }
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virtual int getNumLevels() const CV_OVERRIDE { return numLevels_; }
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virtual void setNumLevels(int numLevels) CV_OVERRIDE { numLevels_ = numLevels; }
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virtual double getPyrScale() const { return pyrScale_; }
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virtual void setPyrScale(double pyrScale) { pyrScale_ = pyrScale; }
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virtual double getPyrScale() const CV_OVERRIDE { return pyrScale_; }
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virtual void setPyrScale(double pyrScale) CV_OVERRIDE { pyrScale_ = pyrScale; }
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virtual bool getFastPyramids() const { return fastPyramids_; }
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virtual void setFastPyramids(bool fastPyramids) { fastPyramids_ = fastPyramids; }
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virtual bool getFastPyramids() const CV_OVERRIDE { return fastPyramids_; }
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virtual void setFastPyramids(bool fastPyramids) CV_OVERRIDE { fastPyramids_ = fastPyramids; }
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virtual int getWinSize() const { return winSize_; }
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virtual void setWinSize(int winSize) { winSize_ = winSize; }
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virtual int getWinSize() const CV_OVERRIDE { return winSize_; }
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virtual void setWinSize(int winSize) CV_OVERRIDE { winSize_ = winSize; }
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virtual int getNumIters() const { return numIters_; }
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virtual void setNumIters(int numIters) { numIters_ = numIters; }
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virtual int getNumIters() const CV_OVERRIDE { return numIters_; }
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virtual void setNumIters(int numIters) CV_OVERRIDE { numIters_ = numIters; }
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virtual int getPolyN() const { return polyN_; }
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virtual void setPolyN(int polyN) { polyN_ = polyN; }
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virtual int getPolyN() const CV_OVERRIDE { return polyN_; }
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virtual void setPolyN(int polyN) CV_OVERRIDE { polyN_ = polyN; }
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virtual double getPolySigma() const { return polySigma_; }
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virtual void setPolySigma(double polySigma) { polySigma_ = polySigma; }
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virtual double getPolySigma() const CV_OVERRIDE { return polySigma_; }
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virtual void setPolySigma(double polySigma) CV_OVERRIDE { polySigma_ = polySigma; }
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virtual int getFlags() const { return flags_; }
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virtual void setFlags(int flags) { flags_ = flags; }
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virtual int getFlags() const CV_OVERRIDE { return flags_; }
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virtual void setFlags(int flags) CV_OVERRIDE { flags_ = flags; }
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virtual void calc(InputArray I0, InputArray I1, InputOutputArray flow);
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virtual void calc(InputArray I0, InputArray I1, InputOutputArray flow) CV_OVERRIDE;
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private:
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int numLevels_;
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flowy = curFlowY;
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return true;
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}
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virtual void collectGarbage(){
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virtual void collectGarbage() CV_OVERRIDE {
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releaseMemory();
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}
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void releaseMemory()
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@ -1089,7 +1089,7 @@ private:
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return true;
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}
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#else // HAVE_OPENCL
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virtual void collectGarbage(){}
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virtual void collectGarbage() CV_OVERRIDE {}
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#endif
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};
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}
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OpticalFlowDual_TVL1();
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void calc(InputArray I0, InputArray I1, InputOutputArray flow);
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void collectGarbage();
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void calc(InputArray I0, InputArray I1, InputOutputArray flow) CV_OVERRIDE;
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void collectGarbage() CV_OVERRIDE;
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CV_IMPL_PROPERTY(double, Tau, tau)
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CV_IMPL_PROPERTY(double, Lambda, lambda)
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CV_IMPL_PROPERTY(double, Theta, theta)
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CV_IMPL_PROPERTY(double, Gamma, gamma)
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CV_IMPL_PROPERTY(int, ScalesNumber, nscales)
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CV_IMPL_PROPERTY(int, WarpingsNumber, warps)
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CV_IMPL_PROPERTY(double, Epsilon, epsilon)
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CV_IMPL_PROPERTY(int, InnerIterations, innerIterations)
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CV_IMPL_PROPERTY(int, OuterIterations, outerIterations)
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CV_IMPL_PROPERTY(bool, UseInitialFlow, useInitialFlow)
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CV_IMPL_PROPERTY(double, ScaleStep, scaleStep)
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CV_IMPL_PROPERTY(int, MedianFiltering, medianFiltering)
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inline double getTau() const CV_OVERRIDE { return tau; }
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inline void setTau(double val) CV_OVERRIDE { tau = val; }
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inline double getLambda() const CV_OVERRIDE { return lambda; }
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inline void setLambda(double val) CV_OVERRIDE { lambda = val; }
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inline double getTheta() const CV_OVERRIDE { return theta; }
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inline void setTheta(double val) CV_OVERRIDE { theta = val; }
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inline double getGamma() const CV_OVERRIDE { return gamma; }
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inline void setGamma(double val) CV_OVERRIDE { gamma = val; }
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inline int getScalesNumber() const CV_OVERRIDE { return nscales; }
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inline void setScalesNumber(int val) CV_OVERRIDE { nscales = val; }
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inline int getWarpingsNumber() const CV_OVERRIDE { return warps; }
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inline void setWarpingsNumber(int val) CV_OVERRIDE { warps = val; }
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inline double getEpsilon() const CV_OVERRIDE { return epsilon; }
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inline void setEpsilon(double val) CV_OVERRIDE { epsilon = val; }
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inline int getInnerIterations() const CV_OVERRIDE { return innerIterations; }
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inline void setInnerIterations(int val) CV_OVERRIDE { innerIterations = val; }
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inline int getOuterIterations() const CV_OVERRIDE { return outerIterations; }
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inline void setOuterIterations(int val) CV_OVERRIDE { outerIterations = val; }
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inline bool getUseInitialFlow() const CV_OVERRIDE { return useInitialFlow; }
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inline void setUseInitialFlow(bool val) CV_OVERRIDE { useInitialFlow = val; }
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inline double getScaleStep() const CV_OVERRIDE { return scaleStep; }
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inline void setScaleStep(double val) CV_OVERRIDE { scaleStep = val; }
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inline int getMedianFiltering() const CV_OVERRIDE { return medianFiltering; }
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inline void setMedianFiltering(int val) CV_OVERRIDE { medianFiltering = val; }
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protected:
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double tau;
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@ -628,7 +640,7 @@ bool OpticalFlowDual_TVL1::calc_ocl(InputArray _I0, InputArray _I1, InputOutputA
|
||||
|
||||
struct BuildFlowMapBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> u1;
|
||||
Mat_<float> u2;
|
||||
@ -675,7 +687,7 @@ void buildFlowMap(const Mat_<float>& u1, const Mat_<float>& u2, Mat_<float>& map
|
||||
|
||||
struct CenteredGradientBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> src;
|
||||
mutable Mat_<float> dx;
|
||||
@ -762,7 +774,7 @@ void centeredGradient(const Mat_<float>& src, Mat_<float>& dx, Mat_<float>& dy)
|
||||
|
||||
struct ForwardGradientBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> src;
|
||||
mutable Mat_<float> dx;
|
||||
@ -832,7 +844,7 @@ void forwardGradient(const Mat_<float>& src, Mat_<float>& dx, Mat_<float>& dy)
|
||||
|
||||
struct DivergenceBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> v1;
|
||||
Mat_<float> v2;
|
||||
@ -891,7 +903,7 @@ void divergence(const Mat_<float>& v1, const Mat_<float>& v2, Mat_<float>& div)
|
||||
|
||||
struct CalcGradRhoBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> I0;
|
||||
Mat_<float> I1w;
|
||||
@ -961,7 +973,7 @@ void calcGradRho(const Mat_<float>& I0, const Mat_<float>& I1w, const Mat_<float
|
||||
|
||||
struct EstimateVBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> I1wx;
|
||||
Mat_<float> I1wy;
|
||||
@ -1108,7 +1120,7 @@ float estimateU(const Mat_<float>& v1, const Mat_<float>& v2, const Mat_<float>&
|
||||
|
||||
struct EstimateDualVariablesBody : ParallelLoopBody
|
||||
{
|
||||
void operator() (const Range& range) const;
|
||||
void operator() (const Range& range) const CV_OVERRIDE;
|
||||
|
||||
Mat_<float> u1x;
|
||||
Mat_<float> u1y;
|
||||
|
Loading…
Reference in New Issue
Block a user