Commit 36fbabf2 authored by Vadim Pisarevsky's avatar Vadim Pisarevsky

Merge pull request #189 from mshabunin/fix-headers

Replaced property macros in headers
parents 63a86ac4 da7ff82d
......@@ -20,13 +20,19 @@ namespace cv { namespace face {
class CV_EXPORTS_W BasicFaceRecognizer : public FaceRecognizer
{
public:
CV_PURE_PROPERTY(int, NumComponents)
CV_PURE_PROPERTY(double, Threshold)
CV_PURE_PROPERTY_RO(std::vector<cv::Mat>, Projections)
CV_PURE_PROPERTY_RO(cv::Mat, Labels)
CV_PURE_PROPERTY_RO(cv::Mat, EigenValues)
CV_PURE_PROPERTY_RO(cv::Mat, EigenVectors)
CV_PURE_PROPERTY_RO(cv::Mat, Mean)
/** @see setNumComponents */
virtual int getNumComponents() const = 0;
/** @copybrief getNumComponents @see getNumComponents */
virtual void setNumComponents(int val) = 0;
/** @see setThreshold */
virtual double getThreshold() const = 0;
/** @copybrief getThreshold @see getThreshold */
virtual void setThreshold(double val) = 0;
virtual std::vector<cv::Mat> getProjections() const = 0;
virtual cv::Mat getLabels() const = 0;
virtual cv::Mat getEigenValues() const = 0;
virtual cv::Mat getEigenVectors() const = 0;
virtual cv::Mat getMean() const = 0;
};
/**
......@@ -95,13 +101,28 @@ CV_EXPORTS_W Ptr<BasicFaceRecognizer> createFisherFaceRecognizer(int num_compone
class CV_EXPORTS_W LBPHFaceRecognizer : public FaceRecognizer
{
public:
CV_PURE_PROPERTY(int, GridX)
CV_PURE_PROPERTY(int, GridY)
CV_PURE_PROPERTY(int, Radius)
CV_PURE_PROPERTY(int, Neighbors)
CV_PURE_PROPERTY(double, Threshold)
CV_PURE_PROPERTY_RO(std::vector<cv::Mat>, Histograms)
CV_PURE_PROPERTY_RO(cv::Mat, Labels)
/** @see setGridX */
virtual int getGridX() const = 0;
/** @copybrief getGridX @see getGridX */
virtual void setGridX(int val) = 0;
/** @see setGridY */
virtual int getGridY() const = 0;
/** @copybrief getGridY @see getGridY */
virtual void setGridY(int val) = 0;
/** @see setRadius */
virtual int getRadius() const = 0;
/** @copybrief getRadius @see getRadius */
virtual void setRadius(int val) = 0;
/** @see setNeighbors */
virtual int getNeighbors() const = 0;
/** @copybrief getNeighbors @see getNeighbors */
virtual void setNeighbors(int val) = 0;
/** @see setThreshold */
virtual double getThreshold() const = 0;
/** @copybrief getThreshold @see getThreshold */
virtual void setThreshold(double val) = 0;
virtual std::vector<cv::Mat> getHistograms() const = 0;
virtual cv::Mat getLabels() const = 0;
};
/**
......
......@@ -150,12 +150,54 @@ namespace rgbd
void
initialize() const;
CV_IMPL_PROPERTY(int, Rows, rows_)
CV_IMPL_PROPERTY(int, Cols, cols_)
CV_IMPL_PROPERTY(int, WindowSize, window_size_)
CV_IMPL_PROPERTY(int, Depth, depth_)
CV_IMPL_PROPERTY_S(cv::Mat, K, K_)
CV_IMPL_PROPERTY(int, Method, method_)
int getRows() const
{
return rows_;
}
void setRows(int val)
{
rows_ = val;
}
int getCols() const
{
return cols_;
}
void setCols(int val)
{
cols_ = val;
}
int getWindowSize() const
{
return window_size_;
}
void setWindowSize(int val)
{
window_size_ = val;
}
int getDepth() const
{
return depth_;
}
void setDepth(int val)
{
depth_ = val;
}
cv::Mat getK() const
{
return K_;
}
void setK(const cv::Mat &val)
{
K_ = val;
}
int getMethod() const
{
return method_;
}
void setMethod(int val)
{
method_ = val;
}
protected:
void
......@@ -213,9 +255,30 @@ namespace rgbd
void
initialize() const;
CV_IMPL_PROPERTY(int, WindowSize, window_size_)
CV_IMPL_PROPERTY(int, Depth, depth_)
CV_IMPL_PROPERTY(int, Method, method_)
int getWindowSize() const
{
return window_size_;
}
void setWindowSize(int val)
{
window_size_ = val;
}
int getDepth() const
{
return depth_;
}
void setDepth(int val)
{
depth_ = val;
}
int getMethod() const
{
return method_;
}
void setMethod(int val)
{
method_ = val;
}
protected:
void
......@@ -305,13 +368,62 @@ namespace rgbd
void
operator()(InputArray points3d, OutputArray mask, OutputArray plane_coefficients);
CV_IMPL_PROPERTY(int, BlockSize, block_size_)
CV_IMPL_PROPERTY(int, MinSize, min_size_)
CV_IMPL_PROPERTY(int, Method, method_)
CV_IMPL_PROPERTY(double, Threshold, threshold_)
CV_IMPL_PROPERTY(double, SensorErrorA, sensor_error_a_)
CV_IMPL_PROPERTY(double, SensorErrorB, sensor_error_b_)
CV_IMPL_PROPERTY(double, SensorErrorC, sensor_error_c_)
int getBlockSize() const
{
return block_size_;
}
void setBlockSize(int val)
{
block_size_ = val;
}
int getMinSize() const
{
return min_size_;
}
void setMinSize(int val)
{
min_size_ = val;
}
int getMethod() const
{
return method_;
}
void setMethod(int val)
{
method_ = val;
}
double getThreshold() const
{
return threshold_;
}
void setThreshold(double val)
{
threshold_ = val;
}
double getSensorErrorA() const
{
return sensor_error_a_;
}
void setSensorErrorA(double val)
{
sensor_error_a_ = val;
}
double getSensorErrorB() const
{
return sensor_error_b_;
}
void setSensorErrorB(double val)
{
sensor_error_b_ = val;
}
double getSensorErrorC() const
{
return sensor_error_c_;
}
void setSensorErrorC(double val)
{
sensor_error_c_ = val;
}
private:
/** The method to use to compute the planes */
......@@ -466,16 +578,14 @@ namespace rgbd
static Ptr<Odometry> create(const String & odometryType);
//TODO: which properties are common for all Odometry successors?
CV_PURE_PROPERTY_S(cv::Mat, CameraMatrix)
// CV_PURE_PROPERTY(double, MinDepth)
// CV_PURE_PROPERTY(double, MaxDepth)
// CV_PURE_PROPERTY(double, MaxDepthDiff)
// CV_PURE_PROPERTY_S(cv::Mat, IterationCounts)
// CV_PURE_PROPERTY(double, MaxPointsPart)
CV_PURE_PROPERTY(int, TransformType)
// CV_PURE_PROPERTY(double, MaxTranslation)
// CV_PURE_PROPERTY(double, MaxRotation)
/** @see setCameraMatrix */
virtual cv::Mat getCameraMatrix() const = 0;
/** @copybrief getCameraMatrix @see getCameraMatrix */
virtual void setCameraMatrix(const cv::Mat &val) = 0;
/** @see setTransformType */
virtual int getTransformType() const = 0;
/** @copybrief getTransformType @see getTransformType */
virtual void setTransformType(int val) = 0;
protected:
virtual void
......@@ -512,16 +622,86 @@ namespace rgbd
virtual Size prepareFrameCache(Ptr<OdometryFrame>& frame, int cacheType) const;
CV_IMPL_PROPERTY_S(cv::Mat, CameraMatrix, cameraMatrix)
CV_IMPL_PROPERTY(double, MinDepth, minDepth)
CV_IMPL_PROPERTY(double, MaxDepth, maxDepth)
CV_IMPL_PROPERTY(double, MaxDepthDiff, maxDepthDiff)
CV_IMPL_PROPERTY_S(cv::Mat, IterationCounts, iterCounts)
CV_IMPL_PROPERTY_S(cv::Mat, MinGradientMagnitudes, minGradientMagnitudes)
CV_IMPL_PROPERTY(double, MaxPointsPart, maxPointsPart)
CV_IMPL_PROPERTY(int, TransformType, transformType)
CV_IMPL_PROPERTY(double, MaxTranslation, maxTranslation)
CV_IMPL_PROPERTY(double, MaxRotation, maxRotation)
cv::Mat getCameraMatrix() const
{
return cameraMatrix;
}
void setCameraMatrix(const cv::Mat &val)
{
cameraMatrix = val;
}
double getMinDepth() const
{
return minDepth;
}
void setMinDepth(double val)
{
minDepth = val;
}
double getMaxDepth() const
{
return maxDepth;
}
void setMaxDepth(double val)
{
maxDepth = val;
}
double getMaxDepthDiff() const
{
return maxDepthDiff;
}
void setMaxDepthDiff(double val)
{
maxDepthDiff = val;
}
cv::Mat getIterationCounts() const
{
return iterCounts;
}
void setIterationCounts(const cv::Mat &val)
{
iterCounts = val;
}
cv::Mat getMinGradientMagnitudes() const
{
return minGradientMagnitudes;
}
void setMinGradientMagnitudes(const cv::Mat &val)
{
minGradientMagnitudes = val;
}
double getMaxPointsPart() const
{
return maxPointsPart;
}
void setMaxPointsPart(double val)
{
maxPointsPart = val;
}
int getTransformType() const
{
return transformType;
}
void setTransformType(int val)
{
transformType = val;
}
double getMaxTranslation() const
{
return maxTranslation;
}
void setMaxTranslation(double val)
{
maxTranslation = val;
}
double getMaxRotation() const
{
return maxRotation;
}
void setMaxRotation(double val)
{
maxRotation = val;
}
protected:
virtual void
......@@ -569,16 +749,82 @@ namespace rgbd
virtual Size prepareFrameCache(Ptr<OdometryFrame>& frame, int cacheType) const;
CV_IMPL_PROPERTY_S(cv::Mat, CameraMatrix, cameraMatrix)
CV_IMPL_PROPERTY(double, MinDepth, minDepth)
CV_IMPL_PROPERTY(double, MaxDepth, maxDepth)
CV_IMPL_PROPERTY(double, MaxDepthDiff, maxDepthDiff)
CV_IMPL_PROPERTY_S(cv::Mat, IterationCounts, iterCounts)
CV_IMPL_PROPERTY(double, MaxPointsPart, maxPointsPart)
CV_IMPL_PROPERTY(int, TransformType, transformType)
CV_IMPL_PROPERTY(double, MaxTranslation, maxTranslation)
CV_IMPL_PROPERTY(double, MaxRotation, maxRotation)
CV_IMPL_PROPERTY_RO(Ptr<RgbdNormals>, NormalsComputer, normalsComputer)
cv::Mat getCameraMatrix() const
{
return cameraMatrix;
}
void setCameraMatrix(const cv::Mat &val)
{
cameraMatrix = val;
}
double getMinDepth() const
{
return minDepth;
}
void setMinDepth(double val)
{
minDepth = val;
}
double getMaxDepth() const
{
return maxDepth;
}
void setMaxDepth(double val)
{
maxDepth = val;
}
double getMaxDepthDiff() const
{
return maxDepthDiff;
}
void setMaxDepthDiff(double val)
{
maxDepthDiff = val;
}
cv::Mat getIterationCounts() const
{
return iterCounts;
}
void setIterationCounts(const cv::Mat &val)
{
iterCounts = val;
}
double getMaxPointsPart() const
{
return maxPointsPart;
}
void setMaxPointsPart(double val)
{
maxPointsPart = val;
}
int getTransformType() const
{
return transformType;
}
void setTransformType(int val)
{
transformType = val;
}
double getMaxTranslation() const
{
return maxTranslation;
}
void setMaxTranslation(double val)
{
maxTranslation = val;
}
double getMaxRotation() const
{
return maxRotation;
}
void setMaxRotation(double val)
{
maxRotation = val;
}
Ptr<RgbdNormals> getNormalsComputer() const
{
return normalsComputer;
}
protected:
virtual void
......@@ -631,17 +877,90 @@ namespace rgbd
virtual Size prepareFrameCache(Ptr<OdometryFrame>& frame, int cacheType) const;
CV_IMPL_PROPERTY_S(cv::Mat, CameraMatrix, cameraMatrix)
CV_IMPL_PROPERTY(double, MinDepth, minDepth)
CV_IMPL_PROPERTY(double, MaxDepth, maxDepth)
CV_IMPL_PROPERTY(double, MaxDepthDiff, maxDepthDiff)
CV_IMPL_PROPERTY(double, MaxPointsPart, maxPointsPart)
CV_IMPL_PROPERTY_S(cv::Mat, IterationCounts, iterCounts)
CV_IMPL_PROPERTY_S(cv::Mat, MinGradientMagnitudes, minGradientMagnitudes)
CV_IMPL_PROPERTY(int, TransformType, transformType)
CV_IMPL_PROPERTY(double, MaxTranslation, maxTranslation)
CV_IMPL_PROPERTY(double, MaxRotation, maxRotation)
CV_IMPL_PROPERTY_RO(Ptr<RgbdNormals>, NormalsComputer, normalsComputer)
cv::Mat getCameraMatrix() const
{
return cameraMatrix;
}
void setCameraMatrix(const cv::Mat &val)
{
cameraMatrix = val;
}
double getMinDepth() const
{
return minDepth;
}
void setMinDepth(double val)
{
minDepth = val;
}
double getMaxDepth() const
{
return maxDepth;
}
void setMaxDepth(double val)
{
maxDepth = val;
}
double getMaxDepthDiff() const
{
return maxDepthDiff;
}
void setMaxDepthDiff(double val)
{
maxDepthDiff = val;
}
double getMaxPointsPart() const
{
return maxPointsPart;
}
void setMaxPointsPart(double val)
{
maxPointsPart = val;
}
cv::Mat getIterationCounts() const
{
return iterCounts;
}
void setIterationCounts(const cv::Mat &val)
{
iterCounts = val;
}
cv::Mat getMinGradientMagnitudes() const
{
return minGradientMagnitudes;
}
void setMinGradientMagnitudes(const cv::Mat &val)
{
minGradientMagnitudes = val;
}
int getTransformType() const
{
return transformType;
}
void setTransformType(int val)
{
transformType = val;
}
double getMaxTranslation() const
{
return maxTranslation;
}
void setMaxTranslation(double val)
{
maxTranslation = val;
}
double getMaxRotation() const
{
return maxRotation;
}
void setMaxRotation(double val)
{
maxRotation = val;
}
Ptr<RgbdNormals> getNormalsComputer() const
{
return normalsComputer;
}
protected:
virtual void
......
......@@ -76,8 +76,22 @@ public:
void read( const FileNode& fn );
void write( FileStorage& fs ) const;
CV_IMPL_PROPERTY(int, ImageWidth, resImWidth)
CV_IMPL_PROPERTY(int, ImageHeight, resImHeight)
int getImageWidth() const
{
return resImWidth;
}
inline void setImageWidth(int val)
{
resImWidth = val;
}
int getImageHeight() const
{
return resImHeight;
}
void setImageHeight(int val)
{
resImHeight = val;
}
protected:
bool computeSaliencyImpl( const InputArray image, OutputArray saliencyMap );
......@@ -114,8 +128,22 @@ public:
*/
bool init();
CV_IMPL_PROPERTY(int, ImageWidth, imageWidth)
CV_IMPL_PROPERTY(int, ImageHeight, imageHeight)
int getImageWidth() const
{
return imageWidth;
}
inline void setImageWidth(int val)
{
imageWidth = val;
}
int getImageHeight() const
{
return imageHeight;
}
void setImageHeight(int val)
{
imageHeight = val;
}
protected:
/** @brief Performs all the operations and calls all internal functions necessary for the accomplishment of the
......@@ -205,9 +233,30 @@ public:
*/
void setBBResDir( std::string resultsDir );
CV_IMPL_PROPERTY(double, Base, _base)
CV_IMPL_PROPERTY(int, NSS, _NSS)
CV_IMPL_PROPERTY(int, W, _W)
double getBase() const
{
return _base;
}
inline void setBase(double val)
{
_base = val;
}
int getNSS() const
{
return _NSS;
}
void setNSS(int val)
{
_NSS = val;
}
int getW() const
{
return _W;
}
void setW(int val)
{
_W = val;
}
protected:
/** @brief Performs all the operations and calls all internal functions necessary for the
......
......@@ -217,12 +217,30 @@ public:
CV_WRAP static Ptr<AdaptiveManifoldFilter> create();
CV_PURE_PROPERTY(double, SigmaS)
CV_PURE_PROPERTY(double, SigmaR)
CV_PURE_PROPERTY(int, TreeHeight)
CV_PURE_PROPERTY(int, PCAIterations)
CV_PURE_PROPERTY(bool, AdjustOutliers)
CV_PURE_PROPERTY(bool, UseRNG)
/** @see setSigmaS */
virtual double getSigmaS() const = 0;
/** @copybrief getSigmaS @see getSigmaS */
virtual void setSigmaS(double val) = 0;
/** @see setSigmaR */
virtual double getSigmaR() const = 0;
/** @copybrief getSigmaR @see getSigmaR */
virtual void setSigmaR(double val) = 0;
/** @see setTreeHeight */
virtual int getTreeHeight() const = 0;
/** @copybrief getTreeHeight @see getTreeHeight */
virtual void setTreeHeight(int val) = 0;
/** @see setPCAIterations */
virtual int getPCAIterations() const = 0;
/** @copybrief getPCAIterations @see getPCAIterations */
virtual void setPCAIterations(int val) = 0;
/** @see setAdjustOutliers */
virtual bool getAdjustOutliers() const = 0;
/** @copybrief getAdjustOutliers @see getAdjustOutliers */
virtual void setAdjustOutliers(bool val) = 0;
/** @see setUseRNG */
virtual bool getUseRNG() const = 0;
/** @copybrief getUseRNG @see getUseRNG */
virtual void setUseRNG(bool val) = 0;
};
/** @brief Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines.
......
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