rknn-toolkit2-v2.1.0-2024-08-08
/
rknpu2
/examples
/3rdparty
/opencv
/opencv-linux-aarch64
/include
/opencv2
/shape
/shape_distance.hpp
/*M/////////////////////////////////////////////////////////////////////////////////////// | |
// | |
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. | |
// | |
// By downloading, copying, installing or using the software you agree to this license. | |
// If you do not agree to this license, do not download, install, | |
// copy or use the software. | |
// | |
// | |
// License Agreement | |
// For Open Source Computer Vision Library | |
// | |
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. | |
// Copyright (C) 2009, Willow Garage Inc., all rights reserved. | |
// Copyright (C) 2013, OpenCV Foundation, all rights reserved. | |
// Third party copyrights are property of their respective owners. | |
// | |
// Redistribution and use in source and binary forms, with or without modification, | |
// are permitted provided that the following conditions are met: | |
// | |
// * Redistribution's of source code must retain the above copyright notice, | |
// this list of conditions and the following disclaimer. | |
// | |
// * Redistribution's in binary form must reproduce the above copyright notice, | |
// this list of conditions and the following disclaimer in the documentation | |
// and/or other materials provided with the distribution. | |
// | |
// * The name of the copyright holders may not be used to endorse or promote products | |
// derived from this software without specific prior written permission. | |
// | |
// This software is provided by the copyright holders and contributors "as is" and | |
// any express or implied warranties, including, but not limited to, the implied | |
// warranties of merchantability and fitness for a particular purpose are disclaimed. | |
// In no event shall the Intel Corporation or contributors be liable for any direct, | |
// indirect, incidental, special, exemplary, or consequential damages | |
// (including, but not limited to, procurement of substitute goods or services; | |
// loss of use, data, or profits; or business interruption) however caused | |
// and on any theory of liability, whether in contract, strict liability, | |
// or tort (including negligence or otherwise) arising in any way out of | |
// the use of this software, even if advised of the possibility of such damage. | |
// | |
//M*/ | |
namespace cv | |
{ | |
//! @addtogroup shape | |
//! @{ | |
/** @example shape_example.cpp | |
An example using shape distance algorithm | |
*/ | |
/** @brief Abstract base class for shape distance algorithms. | |
*/ | |
class CV_EXPORTS_W ShapeDistanceExtractor : public Algorithm | |
{ | |
public: | |
/** @brief Compute the shape distance between two shapes defined by its contours. | |
@param contour1 Contour defining first shape. | |
@param contour2 Contour defining second shape. | |
*/ | |
CV_WRAP virtual float computeDistance(InputArray contour1, InputArray contour2) = 0; | |
}; | |
/***********************************************************************************/ | |
/***********************************************************************************/ | |
/***********************************************************************************/ | |
/** @brief Implementation of the Shape Context descriptor and matching algorithm | |
proposed by Belongie et al. in "Shape Matching and Object Recognition Using Shape Contexts" (PAMI | |
2002). This implementation is packaged in a generic scheme, in order to allow you the | |
implementation of the common variations of the original pipeline. | |
*/ | |
class CV_EXPORTS_W ShapeContextDistanceExtractor : public ShapeDistanceExtractor | |
{ | |
public: | |
/** @brief Establish the number of angular bins for the Shape Context Descriptor used in the shape matching | |
pipeline. | |
@param nAngularBins The number of angular bins in the shape context descriptor. | |
*/ | |
CV_WRAP virtual void setAngularBins(int nAngularBins) = 0; | |
CV_WRAP virtual int getAngularBins() const = 0; | |
/** @brief Establish the number of radial bins for the Shape Context Descriptor used in the shape matching | |
pipeline. | |
@param nRadialBins The number of radial bins in the shape context descriptor. | |
*/ | |
CV_WRAP virtual void setRadialBins(int nRadialBins) = 0; | |
CV_WRAP virtual int getRadialBins() const = 0; | |
/** @brief Set the inner radius of the shape context descriptor. | |
@param innerRadius The value of the inner radius. | |
*/ | |
CV_WRAP virtual void setInnerRadius(float innerRadius) = 0; | |
CV_WRAP virtual float getInnerRadius() const = 0; | |
/** @brief Set the outer radius of the shape context descriptor. | |
@param outerRadius The value of the outer radius. | |
*/ | |
CV_WRAP virtual void setOuterRadius(float outerRadius) = 0; | |
CV_WRAP virtual float getOuterRadius() const = 0; | |
CV_WRAP virtual void setRotationInvariant(bool rotationInvariant) = 0; | |
CV_WRAP virtual bool getRotationInvariant() const = 0; | |
/** @brief Set the weight of the shape context distance in the final value of the shape distance. The shape | |
context distance between two shapes is defined as the symmetric sum of shape context matching costs | |
over best matching points. The final value of the shape distance is a user-defined linear | |
combination of the shape context distance, an image appearance distance, and a bending energy. | |
@param shapeContextWeight The weight of the shape context distance in the final distance value. | |
*/ | |
CV_WRAP virtual void setShapeContextWeight(float shapeContextWeight) = 0; | |
CV_WRAP virtual float getShapeContextWeight() const = 0; | |
/** @brief Set the weight of the Image Appearance cost in the final value of the shape distance. The image | |
appearance cost is defined as the sum of squared brightness differences in Gaussian windows around | |
corresponding image points. The final value of the shape distance is a user-defined linear | |
combination of the shape context distance, an image appearance distance, and a bending energy. If | |
this value is set to a number different from 0, is mandatory to set the images that correspond to | |
each shape. | |
@param imageAppearanceWeight The weight of the appearance cost in the final distance value. | |
*/ | |
CV_WRAP virtual void setImageAppearanceWeight(float imageAppearanceWeight) = 0; | |
CV_WRAP virtual float getImageAppearanceWeight() const = 0; | |
/** @brief Set the weight of the Bending Energy in the final value of the shape distance. The bending energy | |
definition depends on what transformation is being used to align the shapes. The final value of the | |
shape distance is a user-defined linear combination of the shape context distance, an image | |
appearance distance, and a bending energy. | |
@param bendingEnergyWeight The weight of the Bending Energy in the final distance value. | |
*/ | |
CV_WRAP virtual void setBendingEnergyWeight(float bendingEnergyWeight) = 0; | |
CV_WRAP virtual float getBendingEnergyWeight() const = 0; | |
/** @brief Set the images that correspond to each shape. This images are used in the calculation of the Image | |
Appearance cost. | |
@param image1 Image corresponding to the shape defined by contours1. | |
@param image2 Image corresponding to the shape defined by contours2. | |
*/ | |
CV_WRAP virtual void setImages(InputArray image1, InputArray image2) = 0; | |
CV_WRAP virtual void getImages(OutputArray image1, OutputArray image2) const = 0; | |
CV_WRAP virtual void setIterations(int iterations) = 0; | |
CV_WRAP virtual int getIterations() const = 0; | |
/** @brief Set the algorithm used for building the shape context descriptor cost matrix. | |
@param comparer Smart pointer to a HistogramCostExtractor, an algorithm that defines the cost | |
matrix between descriptors. | |
*/ | |
CV_WRAP virtual void setCostExtractor(Ptr<HistogramCostExtractor> comparer) = 0; | |
CV_WRAP virtual Ptr<HistogramCostExtractor> getCostExtractor() const = 0; | |
/** @brief Set the value of the standard deviation for the Gaussian window for the image appearance cost. | |
@param sigma Standard Deviation. | |
*/ | |
CV_WRAP virtual void setStdDev(float sigma) = 0; | |
CV_WRAP virtual float getStdDev() const = 0; | |
/** @brief Set the algorithm used for aligning the shapes. | |
@param transformer Smart pointer to a ShapeTransformer, an algorithm that defines the aligning | |
transformation. | |
*/ | |
CV_WRAP virtual void setTransformAlgorithm(Ptr<ShapeTransformer> transformer) = 0; | |
CV_WRAP virtual Ptr<ShapeTransformer> getTransformAlgorithm() const = 0; | |
}; | |
/* Complete constructor */ | |
CV_EXPORTS_W Ptr<ShapeContextDistanceExtractor> | |
createShapeContextDistanceExtractor(int nAngularBins=12, int nRadialBins=4, | |
float innerRadius=0.2f, float outerRadius=2, int iterations=3, | |
const Ptr<HistogramCostExtractor> &comparer = createChiHistogramCostExtractor(), | |
const Ptr<ShapeTransformer> &transformer = createThinPlateSplineShapeTransformer()); | |
/***********************************************************************************/ | |
/***********************************************************************************/ | |
/***********************************************************************************/ | |
/** @brief A simple Hausdorff distance measure between shapes defined by contours | |
according to the paper "Comparing Images using the Hausdorff distance." by D.P. Huttenlocher, G.A. | |
Klanderman, and W.J. Rucklidge. (PAMI 1993). : | |
*/ | |
class CV_EXPORTS_W HausdorffDistanceExtractor : public ShapeDistanceExtractor | |
{ | |
public: | |
/** @brief Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm. | |
@param distanceFlag Flag indicating which norm is used to compute the Hausdorff distance | |
(NORM_L1, NORM_L2). | |
*/ | |
CV_WRAP virtual void setDistanceFlag(int distanceFlag) = 0; | |
CV_WRAP virtual int getDistanceFlag() const = 0; | |
/** @brief This method sets the rank proportion (or fractional value) that establish the Kth ranked value of | |
the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare | |
shapes. | |
@param rankProportion fractional value (between 0 and 1). | |
*/ | |
CV_WRAP virtual void setRankProportion(float rankProportion) = 0; | |
CV_WRAP virtual float getRankProportion() const = 0; | |
}; | |
/* Constructor */ | |
CV_EXPORTS_W Ptr<HausdorffDistanceExtractor> createHausdorffDistanceExtractor(int distanceFlag=cv::NORM_L2, float rankProp=0.6f); | |
//! @} | |
} // cv | |