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Remove opencv from phonelibs (#2107) 

* remove opencv from phonelibs

* clean that up too
albatross
Adeeb Shihadeh 2020-08-30 18:23:23 -07:00 committed by GitHub
parent 4569e51b3e
commit 63436373d2
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GPG Key ID: 4AEE18F83AFDEB23
25 changed files with 1 additions and 24458 deletions
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1
SConstruct
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@ -143,7 +143,6 @@ env = Environment(
"#phonelibs/openmax/include",
"#phonelibs/json11",
"#phonelibs/curl/include",
#"#phonelibs/opencv/include", # use opencv4 instead
"#phonelibs/libgralloc/include",
"#phonelibs/android_frameworks_native/include",
"#phonelibs/android_hardware_libhardware/include",

515
phonelibs/opencv/include/opencv2/core/affine.hpp
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@ -1,515 +0,0 @@
/*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*/
#ifndef __OPENCV_CORE_AFFINE3_HPP__
#define __OPENCV_CORE_AFFINE3_HPP__
#ifdef __cplusplus
#include <opencv2/core/core.hpp>
/*! @file */
namespace cv
{
template<typename T>
class Affine3
{
public:
typedef T float_type;
typedef Matx<float_type, 3, 3> Mat3;
typedef Matx<float_type, 4, 4> Mat4;
typedef Vec<float_type, 3> Vec3;
Affine3();
//Augmented affine matrix
Affine3(const Mat4& affine);
//Rotation matrix
Affine3(const Mat3& R, const Vec3& t = Vec3::all(0));
//Rodrigues vector
Affine3(const Vec3& rvec, const Vec3& t = Vec3::all(0));
//Combines all contructors above. Supports 4x4, 4x3, 3x3, 1x3, 3x1 sizes of data matrix
explicit Affine3(const Mat& data, const Vec3& t = Vec3::all(0));
//From 16th element array
explicit Affine3(const float_type* vals);
static Affine3 Identity();
//Rotation matrix
void rotation(const Mat3& R);
//Rodrigues vector
void rotation(const Vec3& rvec);
//Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix;
void rotation(const Mat& data);
void linear(const Mat3& L);
void translation(const Vec3& t);
Mat3 rotation() const;
Mat3 linear() const;
Vec3 translation() const;
//Rodrigues vector
Vec3 rvec() const;
Affine3 inv(int method = cv::DECOMP_SVD) const;
// a.rotate(R) is equivalent to Affine(R, 0) * a;
Affine3 rotate(const Mat3& R) const;
// a.rotate(R) is equivalent to Affine(rvec, 0) * a;
Affine3 rotate(const Vec3& rvec) const;
// a.translate(t) is equivalent to Affine(E, t) * a;
Affine3 translate(const Vec3& t) const;
// a.concatenate(affine) is equivalent to affine * a;
Affine3 concatenate(const Affine3& affine) const;
template <typename Y> operator Affine3<Y>() const;
template <typename Y> Affine3<Y> cast() const;
Mat4 matrix;
#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H
Affine3(const Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>& affine);
Affine3(const Eigen::Transform<T, 3, Eigen::Affine>& affine);
operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>() const;
operator Eigen::Transform<T, 3, Eigen::Affine>() const;
#endif
};
template<typename T> static
Affine3<T> operator*(const Affine3<T>& affine1, const Affine3<T>& affine2);
template<typename T, typename V> static
V operator*(const Affine3<T>& affine, const V& vector);
typedef Affine3<float> Affine3f;
typedef Affine3<double> Affine3d;
static Vec3f operator*(const Affine3f& affine, const Vec3f& vector);
static Vec3d operator*(const Affine3d& affine, const Vec3d& vector);
template<typename _Tp> class DataType< Affine3<_Tp> >
{
public:
typedef Affine3<_Tp> value_type;
typedef Affine3<typename DataType<_Tp>::work_type> work_type;
typedef _Tp channel_type;
enum { generic_type = 0,
depth = DataType<channel_type>::depth,
channels = 16,
fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
type = CV_MAKETYPE(depth, channels)
};
typedef Vec<channel_type, channels> vec_type;
};
}
///////////////////////////////////////////////////////////////////////////////////
/// Implementaiton
template<typename T> inline
cv::Affine3<T>::Affine3()
: matrix(Mat4::eye())
{}
template<typename T> inline
cv::Affine3<T>::Affine3(const Mat4& affine)
: matrix(affine)
{}
template<typename T> inline
cv::Affine3<T>::Affine3(const Mat3& R, const Vec3& t)
{
rotation(R);
translation(t);
matrix.val[12] = matrix.val[13] = matrix.val[14] = 0;
matrix.val[15] = 1;
}
template<typename T> inline
cv::Affine3<T>::Affine3(const Vec3& _rvec, const Vec3& t)
{
rotation(_rvec);
translation(t);
matrix.val[12] = matrix.val[13] = matrix.val[14] = 0;
matrix.val[15] = 1;
}
template<typename T> inline
cv::Affine3<T>::Affine3(const cv::Mat& data, const Vec3& t)
{
CV_Assert(data.type() == cv::DataType<T>::type);
if (data.cols == 4 && data.rows == 4)
{
data.copyTo(matrix);
return;
}
else if (data.cols == 4 && data.rows == 3)
{
rotation(data(Rect(0, 0, 3, 3)));
translation(data(Rect(3, 0, 1, 3)));
}
else
{
rotation(data);
translation(t);
}
matrix.val[12] = matrix.val[13] = matrix.val[14] = 0;
matrix.val[15] = 1;
}
template<typename T> inline
cv::Affine3<T>::Affine3(const float_type* vals) : matrix(vals)
{}
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::Identity()
{
return Affine3<T>(cv::Affine3<T>::Mat4::eye());
}
template<typename T> inline
void cv::Affine3<T>::rotation(const Mat3& R)
{
linear(R);
}
template<typename T> inline
void cv::Affine3<T>::rotation(const Vec3& _rvec)
{
double rx = _rvec[0], ry = _rvec[1], rz = _rvec[2];
double theta = std::sqrt(rx*rx + ry*ry + rz*rz);
if (theta < DBL_EPSILON)
rotation(Mat3::eye());
else
{
const double I[] = { 1, 0, 0, 0, 1, 0, 0, 0, 1 };
double c = std::cos(theta);
double s = std::sin(theta);
double c1 = 1. - c;
double itheta = (theta != 0) ? 1./theta : 0.;
rx *= itheta; ry *= itheta; rz *= itheta;
double rrt[] = { rx*rx, rx*ry, rx*rz, rx*ry, ry*ry, ry*rz, rx*rz, ry*rz, rz*rz };
double _r_x_[] = { 0, -rz, ry, rz, 0, -rx, -ry, rx, 0 };
Mat3 R;
// R = cos(theta)*I + (1 - cos(theta))*r*rT + sin(theta)*[r_x]
// where [r_x] is [0 -rz ry; rz 0 -rx; -ry rx 0]
for(int k = 0; k < 9; ++k)
R.val[k] = static_cast<float_type>(c*I[k] + c1*rrt[k] + s*_r_x_[k]);
rotation(R);
}
}
//Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix;
template<typename T> inline
void cv::Affine3<T>::rotation(const cv::Mat& data)
{
CV_Assert(data.type() == cv::DataType<T>::type);
if (data.cols == 3 && data.rows == 3)
{
Mat3 R;
data.copyTo(R);
rotation(R);
}
else if ((data.cols == 3 && data.rows == 1) || (data.cols == 1 && data.rows == 3))
{
Vec3 _rvec;
data.reshape(1, 3).copyTo(_rvec);
rotation(_rvec);
}
else
CV_Assert(!"Input marix can be 3x3, 1x3 or 3x1");
}
template<typename T> inline
void cv::Affine3<T>::linear(const Mat3& L)
{
matrix.val[0] = L.val[0]; matrix.val[1] = L.val[1]; matrix.val[ 2] = L.val[2];
matrix.val[4] = L.val[3]; matrix.val[5] = L.val[4]; matrix.val[ 6] = L.val[5];
matrix.val[8] = L.val[6]; matrix.val[9] = L.val[7]; matrix.val[10] = L.val[8];
}
template<typename T> inline
void cv::Affine3<T>::translation(const Vec3& t)
{
matrix.val[3] = t[0]; matrix.val[7] = t[1]; matrix.val[11] = t[2];
}
template<typename T> inline
typename cv::Affine3<T>::Mat3 cv::Affine3<T>::rotation() const
{
return linear();
}
template<typename T> inline
typename cv::Affine3<T>::Mat3 cv::Affine3<T>::linear() const
{
typename cv::Affine3<T>::Mat3 R;
R.val[0] = matrix.val[0]; R.val[1] = matrix.val[1]; R.val[2] = matrix.val[ 2];
R.val[3] = matrix.val[4]; R.val[4] = matrix.val[5]; R.val[5] = matrix.val[ 6];
R.val[6] = matrix.val[8]; R.val[7] = matrix.val[9]; R.val[8] = matrix.val[10];
return R;
}
template<typename T> inline
typename cv::Affine3<T>::Vec3 cv::Affine3<T>::translation() const
{
return Vec3(matrix.val[3], matrix.val[7], matrix.val[11]);
}
template<typename T> inline
typename cv::Affine3<T>::Vec3 cv::Affine3<T>::rvec() const
{
cv::Vec3d w;
cv::Matx33d u, vt, R = rotation();
cv::SVD::compute(R, w, u, vt, cv::SVD::FULL_UV + cv::SVD::MODIFY_A);
R = u * vt;
double rx = R.val[7] - R.val[5];
double ry = R.val[2] - R.val[6];
double rz = R.val[3] - R.val[1];
double s = std::sqrt((rx*rx + ry*ry + rz*rz)*0.25);
double c = (R.val[0] + R.val[4] + R.val[8] - 1) * 0.5;
c = c > 1.0 ? 1.0 : c < -1.0 ? -1.0 : c;
double theta = acos(c);
if( s < 1e-5 )
{
if( c > 0 )
rx = ry = rz = 0;
else
{
double t;
t = (R.val[0] + 1) * 0.5;
rx = std::sqrt(std::max(t, 0.0));
t = (R.val[4] + 1) * 0.5;
ry = std::sqrt(std::max(t, 0.0)) * (R.val[1] < 0 ? -1.0 : 1.0);
t = (R.val[8] + 1) * 0.5;
rz = std::sqrt(std::max(t, 0.0)) * (R.val[2] < 0 ? -1.0 : 1.0);
if( fabs(rx) < fabs(ry) && fabs(rx) < fabs(rz) && (R.val[5] > 0) != (ry*rz > 0) )
rz = -rz;
theta /= std::sqrt(rx*rx + ry*ry + rz*rz);
rx *= theta;
ry *= theta;
rz *= theta;
}
}
else
{
double vth = 1/(2*s);
vth *= theta;
rx *= vth; ry *= vth; rz *= vth;
}
return cv::Vec3d(rx, ry, rz);
}
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::inv(int method) const
{
return matrix.inv(method);
}
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::rotate(const Mat3& R) const
{
Mat3 Lc = linear();
Vec3 tc = translation();
Mat4 result;
result.val[12] = result.val[13] = result.val[14] = 0;
result.val[15] = 1;
for(int j = 0; j < 3; ++j)
{
for(int i = 0; i < 3; ++i)
{
float_type value = 0;
for(int k = 0; k < 3; ++k)
value += R(j, k) * Lc(k, i);
result(j, i) = value;
}
result(j, 3) = R.row(j).dot(tc.t());
}
return result;
}
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::rotate(const Vec3& _rvec) const
{
return rotate(Affine3f(_rvec).rotation());
}
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::translate(const Vec3& t) const
{
Mat4 m = matrix;
m.val[ 3] += t[0];
m.val[ 7] += t[1];
m.val[11] += t[2];
return m;
}
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::concatenate(const Affine3<T>& affine) const
{
return (*this).rotate(affine.rotation()).translate(affine.translation());
}
template<typename T> template <typename Y> inline
cv::Affine3<T>::operator Affine3<Y>() const
{
return Affine3<Y>(matrix);
}
template<typename T> template <typename Y> inline
cv::Affine3<Y> cv::Affine3<T>::cast() const
{
return Affine3<Y>(matrix);
}
/** @cond IGNORED */
template<typename T> inline
cv::Affine3<T> cv::operator*(const cv::Affine3<T>& affine1, const cv::Affine3<T>& affine2)
{
return affine2.concatenate(affine1);
}
template<typename T, typename V> inline
V cv::operator*(const cv::Affine3<T>& affine, const V& v)
{
const typename Affine3<T>::Mat4& m = affine.matrix;
V r;
r.x = m.val[0] * v.x + m.val[1] * v.y + m.val[ 2] * v.z + m.val[ 3];
r.y = m.val[4] * v.x + m.val[5] * v.y + m.val[ 6] * v.z + m.val[ 7];
r.z = m.val[8] * v.x + m.val[9] * v.y + m.val[10] * v.z + m.val[11];
return r;
}
/** @endcond */
static inline
cv::Vec3f cv::operator*(const cv::Affine3f& affine, const cv::Vec3f& v)
{
const cv::Matx44f& m = affine.matrix;
cv::Vec3f r;
r.val[0] = m.val[0] * v[0] + m.val[1] * v[1] + m.val[ 2] * v[2] + m.val[ 3];
r.val[1] = m.val[4] * v[0] + m.val[5] * v[1] + m.val[ 6] * v[2] + m.val[ 7];
r.val[2] = m.val[8] * v[0] + m.val[9] * v[1] + m.val[10] * v[2] + m.val[11];
return r;
}
static inline
cv::Vec3d cv::operator*(const cv::Affine3d& affine, const cv::Vec3d& v)
{
const cv::Matx44d& m = affine.matrix;
cv::Vec3d r;
r.val[0] = m.val[0] * v[0] + m.val[1] * v[1] + m.val[ 2] * v[2] + m.val[ 3];
r.val[1] = m.val[4] * v[0] + m.val[5] * v[1] + m.val[ 6] * v[2] + m.val[ 7];
r.val[2] = m.val[8] * v[0] + m.val[9] * v[1] + m.val[10] * v[2] + m.val[11];
return r;
}
#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H
template<typename T> inline
cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>& affine)
{
cv::Mat(4, 4, cv::DataType<T>::type, affine.matrix().data()).copyTo(matrix);
}
template<typename T> inline
cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine>& affine)
{
Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)> a = affine;
cv::Mat(4, 4, cv::DataType<T>::type, a.matrix().data()).copyTo(matrix);
}
template<typename T> inline
cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>() const
{
Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)> r;
cv::Mat hdr(4, 4, cv::DataType<T>::type, r.matrix().data());
cv::Mat(matrix, false).copyTo(hdr);
return r;
}
template<typename T> inline
cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine>() const
{
return this->operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>();
}
#endif /* defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H */
#endif /* __cplusplus */
#endif /* __OPENCV_CORE_AFFINE3_HPP__ */

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/*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.
// 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*/
#ifndef __OPENCV_CORE_DEVPTRS_HPP__
#define __OPENCV_CORE_DEVPTRS_HPP__
#ifdef __cplusplus
#ifdef __CUDACC__
#define __CV_GPU_HOST_DEVICE__ __host__ __device__ __forceinline__
#else
#define __CV_GPU_HOST_DEVICE__
#endif
namespace cv
{
namespace gpu
{
// Simple lightweight structures that encapsulates information about an image on device.
// It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile
template <bool expr> struct StaticAssert;
template <> struct StaticAssert<true> {static __CV_GPU_HOST_DEVICE__ void check(){}};
template<typename T> struct DevPtr
{
typedef T elem_type;
typedef int index_type;
enum { elem_size = sizeof(elem_type) };
T* data;
__CV_GPU_HOST_DEVICE__ DevPtr() : data(0) {}
__CV_GPU_HOST_DEVICE__ DevPtr(T* data_) : data(data_) {}
__CV_GPU_HOST_DEVICE__ size_t elemSize() const { return elem_size; }
__CV_GPU_HOST_DEVICE__ operator T*() { return data; }
__CV_GPU_HOST_DEVICE__ operator const T*() const { return data; }
};
template<typename T> struct PtrSz : public DevPtr<T>
{
__CV_GPU_HOST_DEVICE__ PtrSz() : size(0) {}
__CV_GPU_HOST_DEVICE__ PtrSz(T* data_, size_t size_) : DevPtr<T>(data_), size(size_) {}
size_t size;
};
template<typename T> struct PtrStep : public DevPtr<T>
{
__CV_GPU_HOST_DEVICE__ PtrStep() : step(0) {}
__CV_GPU_HOST_DEVICE__ PtrStep(T* data_, size_t step_) : DevPtr<T>(data_), step(step_) {}
/** \brief stride between two consecutive rows in bytes. Step is stored always and everywhere in bytes!!! */
size_t step;
__CV_GPU_HOST_DEVICE__ T* ptr(int y = 0) { return ( T*)( ( char*)DevPtr<T>::data + y * step); }
__CV_GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr<T>::data + y * step); }
__CV_GPU_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; }
__CV_GPU_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
};
template <typename T> struct PtrStepSz : public PtrStep<T>
{
__CV_GPU_HOST_DEVICE__ PtrStepSz() : cols(0), rows(0) {}
__CV_GPU_HOST_DEVICE__ PtrStepSz(int rows_, int cols_, T* data_, size_t step_)
: PtrStep<T>(data_, step_), cols(cols_), rows(rows_) {}
template <typename U>
explicit PtrStepSz(const PtrStepSz<U>& d) : PtrStep<T>((T*)d.data, d.step), cols(d.cols), rows(d.rows){}
int cols;
int rows;
};
typedef PtrStepSz<unsigned char> PtrStepSzb;
typedef PtrStepSz<float> PtrStepSzf;
typedef PtrStepSz<int> PtrStepSzi;
typedef PtrStep<unsigned char> PtrStepb;
typedef PtrStep<float> PtrStepf;
typedef PtrStep<int> PtrStepi;
#if defined __GNUC__
#define CV_GPU_DEPRECATED __attribute__ ((deprecated))
#elif defined(__MSVC__) //|| defined(__CUDACC__)
#pragma deprecated(DevMem2D_)
#define CV_GPU_DEPRECATED __declspec(deprecated)
#else
#define CV_GPU_DEPRECATED
#endif
template <typename T> struct DevMem2D_ : public PtrStepSz<T>
{
CV_GPU_DEPRECATED DevMem2D_() {}
CV_GPU_DEPRECATED DevMem2D_(int rows_, int cols_, T* data_, size_t step_) : PtrStepSz<T>(rows_, cols_, data_, step_) {}
template <typename U>
explicit CV_GPU_DEPRECATED DevMem2D_(const DevMem2D_<U>& d) : PtrStepSz<T>(d.rows, d.cols, (T*)d.data, d.step) {}
};
typedef DevMem2D_<unsigned char> DevMem2Db;
typedef DevMem2Db DevMem2D;
typedef DevMem2D_<float> DevMem2Df;
typedef DevMem2D_<int> DevMem2Di;
template<typename T> struct PtrElemStep_ : public PtrStep<T>
{
PtrElemStep_(const DevMem2D_<T>& mem) : PtrStep<T>(mem.data, mem.step)
{
StaticAssert<256 % sizeof(T) == 0>::check();
PtrStep<T>::step /= PtrStep<T>::elem_size;
}
__CV_GPU_HOST_DEVICE__ T* ptr(int y = 0) { return PtrStep<T>::data + y * PtrStep<T>::step; }
__CV_GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return PtrStep<T>::data + y * PtrStep<T>::step; }
__CV_GPU_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; }
__CV_GPU_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
};
template<typename T> struct PtrStep_ : public PtrStep<T>
{
PtrStep_() {}
PtrStep_(const DevMem2D_<T>& mem) : PtrStep<T>(mem.data, mem.step) {}
};
typedef PtrElemStep_<unsigned char> PtrElemStep;
typedef PtrElemStep_<float> PtrElemStepf;
typedef PtrElemStep_<int> PtrElemStepi;
//#undef CV_GPU_DEPRECATED
namespace device
{
using cv::gpu::PtrSz;
using cv::gpu::PtrStep;
using cv::gpu::PtrStepSz;
using cv::gpu::PtrStepSzb;
using cv::gpu::PtrStepSzf;
using cv::gpu::PtrStepSzi;
using cv::gpu::PtrStepb;
using cv::gpu::PtrStepf;
using cv::gpu::PtrStepi;
}
}
}
#endif // __cplusplus
#endif /* __OPENCV_CORE_DEVPTRS_HPP__ */

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/*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.
// 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*/
#include "opencv2/core/cuda_devptrs.hpp"

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/*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.
// 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*/
#ifndef __OPENCV_CORE_EIGEN_HPP__
#define __OPENCV_CORE_EIGEN_HPP__
#ifdef __cplusplus
#include "opencv2/core/core_c.h"
#include "opencv2/core/core.hpp"
#if defined _MSC_VER && _MSC_VER >= 1200
#pragma warning( disable: 4714 ) //__forceinline is not inlined
#pragma warning( disable: 4127 ) //conditional expression is constant
#pragma warning( disable: 4244 ) //conversion from '__int64' to 'int', possible loss of data
#endif
namespace cv
{
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src, Mat& dst )
{
if( !(src.Flags & Eigen::RowMajorBit) )
{
Mat _src(src.cols(), src.rows(), DataType<_Tp>::type,
(void*)src.data(), src.stride()*sizeof(_Tp));
transpose(_src, dst);
}
else
{
Mat _src(src.rows(), src.cols(), DataType<_Tp>::type,
(void*)src.data(), src.stride()*sizeof(_Tp));
_src.copyTo(dst);
}
}
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
{
CV_DbgAssert(src.rows == _rows && src.cols == _cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
else if( src.cols == src.rows )
{
src.convertTo(_dst, _dst.type());
transpose(_dst, _dst);
}
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
// Matx case
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
{
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(_cols, _rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(_rows, _cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
Mat(src).copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
template<typename _Tp>
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
{
dst.resize(src.rows, src.cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
else if( src.cols == src.rows )
{
src.convertTo(_dst, _dst.type());
transpose(_dst, _dst);
}
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
// Matx case
template<typename _Tp, int _rows, int _cols>
void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
{
dst.resize(_rows, _cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(_cols, _rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(_rows, _cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
Mat(src).copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
template<typename _Tp>
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
{
CV_Assert(src.cols == 1);
dst.resize(src.rows);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
// Matx case
template<typename _Tp, int _rows>
void cv2eigen( const Matx<_Tp, _rows, 1>& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
{
dst.resize(_rows);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(1, _rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(_rows, 1, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
template<typename _Tp>
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
{
CV_Assert(src.rows == 1);
dst.resize(src.cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
//Matx
template<typename _Tp, int _cols>
void cv2eigen( const Matx<_Tp, 1, _cols>& src,
Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
{
dst.resize(_cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(_cols, 1, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(1, _cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
Mat(src).copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
}
#endif
#endif

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/*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.
// 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*/
#ifndef __OPENCV_GPUMAT_HPP__
#define __OPENCV_GPUMAT_HPP__
#ifdef __cplusplus
#include "opencv2/core/core.hpp"
#include "opencv2/core/cuda_devptrs.hpp"
namespace cv { namespace gpu
{
//////////////////////////////// Initialization & Info ////////////////////////
//! This is the only function that do not throw exceptions if the library is compiled without Cuda.
CV_EXPORTS int getCudaEnabledDeviceCount();
//! Functions below throw cv::Expception if the library is compiled without Cuda.
CV_EXPORTS void setDevice(int device);
CV_EXPORTS int getDevice();
//! Explicitly destroys and cleans up all resources associated with the current device in the current process.
//! Any subsequent API call to this device will reinitialize the device.
CV_EXPORTS void resetDevice();
enum FeatureSet
{
FEATURE_SET_COMPUTE_10 = 10,
FEATURE_SET_COMPUTE_11 = 11,
FEATURE_SET_COMPUTE_12 = 12,
FEATURE_SET_COMPUTE_13 = 13,
FEATURE_SET_COMPUTE_20 = 20,
FEATURE_SET_COMPUTE_21 = 21,
FEATURE_SET_COMPUTE_30 = 30,
FEATURE_SET_COMPUTE_35 = 35,
GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11,
SHARED_ATOMICS = FEATURE_SET_COMPUTE_12,
NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13,
WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30,
DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35
};
// Checks whether current device supports the given feature
CV_EXPORTS bool deviceSupports(FeatureSet feature_set);
// Gives information about what GPU archs this OpenCV GPU module was
// compiled for
class CV_EXPORTS TargetArchs
{
public:
static bool builtWith(FeatureSet feature_set);
static bool has(int major, int minor);
static bool hasPtx(int major, int minor);
static bool hasBin(int major, int minor);
static bool hasEqualOrLessPtx(int major, int minor);
static bool hasEqualOrGreater(int major, int minor);
static bool hasEqualOrGreaterPtx(int major, int minor);
static bool hasEqualOrGreaterBin(int major, int minor);
private:
TargetArchs();
};
// Gives information about the given GPU
class CV_EXPORTS DeviceInfo
{
public:
// Creates DeviceInfo object for the current GPU
DeviceInfo() : device_id_(getDevice()) { query(); }
// Creates DeviceInfo object for the given GPU
DeviceInfo(int device_id) : device_id_(device_id) { query(); }
std::string name() const { return name_; }
// Return compute capability versions
int majorVersion() const { return majorVersion_; }
int minorVersion() const { return minorVersion_; }
int multiProcessorCount() const { return multi_processor_count_; }
size_t sharedMemPerBlock() const;
void queryMemory(size_t& totalMemory, size_t& freeMemory) const;
size_t freeMemory() const;
size_t totalMemory() const;
// Checks whether device supports the given feature
bool supports(FeatureSet feature_set) const;
// Checks whether the GPU module can be run on the given device
bool isCompatible() const;
int deviceID() const { return device_id_; }
private:
void query();
int device_id_;
std::string name_;
int multi_processor_count_;
int majorVersion_;
int minorVersion_;
};
CV_EXPORTS void printCudaDeviceInfo(int device);
CV_EXPORTS void printShortCudaDeviceInfo(int device);
//////////////////////////////// GpuMat ///////////////////////////////
//! Smart pointer for GPU memory with reference counting. Its interface is mostly similar with cv::Mat.
class CV_EXPORTS GpuMat
{
public:
//! default constructor
GpuMat();
//! constructs GpuMatrix of the specified size and type (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
GpuMat(int rows, int cols, int type);
GpuMat(Size size, int type);
//! constucts GpuMatrix and fills it with the specified value _s.
GpuMat(int rows, int cols, int type, Scalar s);
GpuMat(Size size, int type, Scalar s);
//! copy constructor
GpuMat(const GpuMat& m);
//! constructor for GpuMatrix headers pointing to user-allocated data
GpuMat(int rows, int cols, int type, void* data, size_t step = Mat::AUTO_STEP);
GpuMat(Size size, int type, void* data, size_t step = Mat::AUTO_STEP);
//! creates a matrix header for a part of the bigger matrix
GpuMat(const GpuMat& m, Range rowRange, Range colRange);
GpuMat(const GpuMat& m, Rect roi);
//! builds GpuMat from Mat. Perfom blocking upload to device.
explicit GpuMat(const Mat& m);
//! destructor - calls release()
~GpuMat();
//! assignment operators
GpuMat& operator = (const GpuMat& m);
//! pefroms blocking upload data to GpuMat.
void upload(const Mat& m);
//! downloads data from device to host memory. Blocking calls.
void download(Mat& m) const;
//! returns a new GpuMatrix header for the specified row
GpuMat row(int y) const;
//! returns a new GpuMatrix header for the specified column
GpuMat col(int x) const;
//! ... for the specified row span
GpuMat rowRange(int startrow, int endrow) const;
GpuMat rowRange(Range r) const;
//! ... for the specified column span
GpuMat colRange(int startcol, int endcol) const;
GpuMat colRange(Range r) const;
//! returns deep copy of the GpuMatrix, i.e. the data is copied
GpuMat clone() const;
//! copies the GpuMatrix content to "m".
// It calls m.create(this->size(), this->type()).
void copyTo(GpuMat& m) const;
//! copies those GpuMatrix elements to "m" that are marked with non-zero mask elements.
void copyTo(GpuMat& m, const GpuMat& mask) const;
//! converts GpuMatrix to another datatype with optional scalng. See cvConvertScale.
void convertTo(GpuMat& m, int rtype, double alpha = 1, double beta = 0) const;
void assignTo(GpuMat& m, int type=-1) const;
//! sets every GpuMatrix element to s
GpuMat& operator = (Scalar s);
//! sets some of the GpuMatrix elements to s, according to the mask
GpuMat& setTo(Scalar s, const GpuMat& mask = GpuMat());
//! creates alternative GpuMatrix header for the same data, with different
// number of channels and/or different number of rows. see cvReshape.
GpuMat reshape(int cn, int rows = 0) const;
//! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type.
// previous data is unreferenced if needed.
void create(int rows, int cols, int type);
void create(Size size, int type);
//! decreases reference counter;
// deallocate the data when reference counter reaches 0.
void release();
//! swaps with other smart pointer
void swap(GpuMat& mat);
//! locates GpuMatrix header within a parent GpuMatrix. See below
void locateROI(Size& wholeSize, Point& ofs) const;
//! moves/resizes the current GpuMatrix ROI inside the parent GpuMatrix.
GpuMat& adjustROI(int dtop, int dbottom, int dleft, int dright);
//! extracts a rectangular sub-GpuMatrix
// (this is a generalized form of row, rowRange etc.)
GpuMat operator()(Range rowRange, Range colRange) const;
GpuMat operator()(Rect roi) const;
//! returns true iff the GpuMatrix data is continuous
// (i.e. when there are no gaps between successive rows).
// similar to CV_IS_GpuMat_CONT(cvGpuMat->type)
bool isContinuous() const;
//! returns element size in bytes,
// similar to CV_ELEM_SIZE(cvMat->type)
size_t elemSize() const;
//! returns the size of element channel in bytes.
size_t elemSize1() const;
//! returns element type, similar to CV_MAT_TYPE(cvMat->type)
int type() const;
//! returns element type, similar to CV_MAT_DEPTH(cvMat->type)
int depth() const;
//! returns element type, similar to CV_MAT_CN(cvMat->type)
int channels() const;
//! returns step/elemSize1()
size_t step1() const;
//! returns GpuMatrix size:
// width == number of columns, height == number of rows
Size size() const;
//! returns true if GpuMatrix data is NULL
bool empty() const;
//! returns pointer to y-th row
uchar* ptr(int y = 0);
const uchar* ptr(int y = 0) const;
//! template version of the above method
template<typename _Tp> _Tp* ptr(int y = 0);
template<typename _Tp> const _Tp* ptr(int y = 0) const;
template <typename _Tp> operator PtrStepSz<_Tp>() const;
template <typename _Tp> operator PtrStep<_Tp>() const;
// Deprecated function
template <typename _Tp> CV_GPU_DEPRECATED operator DevMem2D_<_Tp>() const;
template <typename _Tp> CV_GPU_DEPRECATED operator PtrStep_<_Tp>() const;
#undef CV_GPU_DEPRECATED
/*! includes several bit-fields:
- the magic signature
- continuity flag
- depth
- number of channels
*/
int flags;
//! the number of rows and columns
int rows, cols;
//! a distance between successive rows in bytes; includes the gap if any
size_t step;
//! pointer to the data
uchar* data;
//! pointer to the reference counter;
// when GpuMatrix points to user-allocated data, the pointer is NULL
int* refcount;
//! helper fields used in locateROI and adjustROI
uchar* datastart;
uchar* dataend;
};
//! Creates continuous GPU matrix
CV_EXPORTS void createContinuous(int rows, int cols, int type, GpuMat& m);
CV_EXPORTS GpuMat createContinuous(int rows, int cols, int type);
CV_EXPORTS void createContinuous(Size size, int type, GpuMat& m);
CV_EXPORTS GpuMat createContinuous(Size size, int type);
//! Ensures that size of the given matrix is not less than (rows, cols) size
//! and matrix type is match specified one too
CV_EXPORTS void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m);
CV_EXPORTS void ensureSizeIsEnough(Size size, int type, GpuMat& m);
CV_EXPORTS GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat);
////////////////////////////////////////////////////////////////////////
// Error handling
CV_EXPORTS void error(const char* error_string, const char* file, const int line, const char* func = "");
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
inline GpuMat::GpuMat()
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
{
}
inline GpuMat::GpuMat(int rows_, int cols_, int type_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
{
if (rows_ > 0 && cols_ > 0)
create(rows_, cols_, type_);
}
inline GpuMat::GpuMat(Size size_, int type_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
{
if (size_.height > 0 && size_.width > 0)
create(size_.height, size_.width, type_);
}
inline GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
{
if (rows_ > 0 && cols_ > 0)
{
create(rows_, cols_, type_);
setTo(s_);
}
}
inline GpuMat::GpuMat(Size size_, int type_, Scalar s_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
{
if (size_.height > 0 && size_.width > 0)
{
create(size_.height, size_.width, type_);
setTo(s_);
}
}
inline GpuMat::~GpuMat()
{
release();
}
inline GpuMat GpuMat::clone() const
{
GpuMat m;
copyTo(m);
return m;
}
inline void GpuMat::assignTo(GpuMat& m, int _type) const
{
if (_type < 0)
m = *this;
else
convertTo(m, _type);
}
inline size_t GpuMat::step1() const
{
return step / elemSize1();
}
inline bool GpuMat::empty() const
{
return data == 0;
}
template<typename _Tp> inline _Tp* GpuMat::ptr(int y)
{
return (_Tp*)ptr(y);
}
template<typename _Tp> inline const _Tp* GpuMat::ptr(int y) const
{
return (const _Tp*)ptr(y);
}
inline void swap(GpuMat& a, GpuMat& b)
{
a.swap(b);
}
inline GpuMat GpuMat::row(int y) const
{
return GpuMat(*this, Range(y, y+1), Range::all());
}
inline GpuMat GpuMat::col(int x) const
{
return GpuMat(*this, Range::all(), Range(x, x+1));
}
inline GpuMat GpuMat::rowRange(int startrow, int endrow) const
{
return GpuMat(*this, Range(startrow, endrow), Range::all());
}
inline GpuMat GpuMat::rowRange(Range r) const
{
return GpuMat(*this, r, Range::all());
}
inline GpuMat GpuMat::colRange(int startcol, int endcol) const
{
return GpuMat(*this, Range::all(), Range(startcol, endcol));
}
inline GpuMat GpuMat::colRange(Range r) const
{
return GpuMat(*this, Range::all(), r);
}
inline void GpuMat::create(Size size_, int type_)
{
create(size_.height, size_.width, type_);
}
inline GpuMat GpuMat::operator()(Range _rowRange, Range _colRange) const
{
return GpuMat(*this, _rowRange, _colRange);
}
inline GpuMat GpuMat::operator()(Rect roi) const
{
return GpuMat(*this, roi);
}
inline bool GpuMat::isContinuous() const
{
return (flags & Mat::CONTINUOUS_FLAG) != 0;
}
inline size_t GpuMat::elemSize() const
{
return CV_ELEM_SIZE(flags);
}
inline size_t GpuMat::elemSize1() const
{
return CV_ELEM_SIZE1(flags);
}
inline int GpuMat::type() const
{
return CV_MAT_TYPE(flags);
}
inline int GpuMat::depth() const
{
return CV_MAT_DEPTH(flags);
}
inline int GpuMat::channels() const
{
return CV_MAT_CN(flags);
}
inline Size GpuMat::size() const
{
return Size(cols, rows);
}
inline uchar* GpuMat::ptr(int y)
{
CV_DbgAssert((unsigned)y < (unsigned)rows);
return data + step * y;
}
inline const uchar* GpuMat::ptr(int y) const
{
CV_DbgAssert((unsigned)y < (unsigned)rows);
return data + step * y;
}
inline GpuMat& GpuMat::operator = (Scalar s)
{
setTo(s);
return *this;
}
/** @cond IGNORED */
template <class T> inline GpuMat::operator PtrStepSz<T>() const
{
return PtrStepSz<T>(rows, cols, (T*)data, step);
}
template <class T> inline GpuMat::operator PtrStep<T>() const
{
return PtrStep<T>((T*)data, step);
}
template <class T> inline GpuMat::operator DevMem2D_<T>() const
{
return DevMem2D_<T>(rows, cols, (T*)data, step);
}
template <class T> inline GpuMat::operator PtrStep_<T>() const
{
return PtrStep_<T>(static_cast< DevMem2D_<T> >(*this));
}
/** @endcond */
inline GpuMat createContinuous(int rows, int cols, int type)
{
GpuMat m;
createContinuous(rows, cols, type, m);
return m;
}
inline void createContinuous(Size size, int type, GpuMat& m)
{
createContinuous(size.height, size.width, type, m);
}
inline GpuMat createContinuous(Size size, int type)
{
GpuMat m;
createContinuous(size, type, m);
return m;
}
inline void ensureSizeIsEnough(Size size, int type, GpuMat& m)
{
ensureSizeIsEnough(size.height, size.width, type, m);
}
}}
#endif // __cplusplus
#endif // __OPENCV_GPUMAT_HPP__

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phonelibs/opencv/include/opencv2/core/internal.hpp
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@ -1,799 +0,0 @@
/*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.
// 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*/
/* The header is for internal use and it is likely to change.
It contains some macro definitions that are used in cxcore, cv, cvaux
and, probably, other libraries. If you need some of this functionality,
the safe way is to copy it into your code and rename the macros.
*/
#ifndef __OPENCV_CORE_INTERNAL_HPP__
#define __OPENCV_CORE_INTERNAL_HPP__
#include <vector>
#include "opencv2/core/core.hpp"
#include "opencv2/core/types_c.h"
#if defined WIN32 || defined _WIN32
# ifndef WIN32
# define WIN32
# endif
# ifndef _WIN32
# define _WIN32
# endif
#endif
#if !defined WIN32 && !defined WINCE
# include <pthread.h>
#endif
#ifdef __BORLANDC__
# ifndef WIN32
# define WIN32
# endif
# ifndef _WIN32
# define _WIN32
# endif
# define CV_DLL
# undef _CV_ALWAYS_PROFILE_
# define _CV_ALWAYS_NO_PROFILE_
#endif
#ifndef FALSE
# define FALSE 0
#endif
#ifndef TRUE
# define TRUE 1
#endif
#define __BEGIN__ __CV_BEGIN__
#define __END__ __CV_END__
#define EXIT __CV_EXIT__
#ifdef HAVE_IPP
# include "ipp.h"
CV_INLINE IppiSize ippiSize(int width, int height)
{
IppiSize size = { width, height };
return size;
}
CV_INLINE IppiSize ippiSize(const cv::Size & _size)
{
IppiSize size = { _size.width, _size.height };
return size;
}
#if IPP_VERSION_MAJOR >= 9 // IPP 9+ is not supported
#undef HAVE_IPP
#undef IPP_VERSION_MAJOR
#endif
#endif
#ifndef IPPI_CALL
# define IPPI_CALL(func) CV_Assert((func) >= 0)
#endif
#if defined __SSE2__ || defined _M_X64 || (defined _M_IX86_FP && _M_IX86_FP >= 2)
# include "emmintrin.h"
# define CV_SSE 1
# define CV_SSE2 1
# if defined __SSE3__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include "pmmintrin.h"
# define CV_SSE3 1
# endif
# if defined __SSSE3__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include "tmmintrin.h"
# define CV_SSSE3 1
# endif
# if defined __SSE4_1__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include <smmintrin.h>
# define CV_SSE4_1 1
# endif
# if defined __SSE4_2__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include <nmmintrin.h>
# define CV_SSE4_2 1
# endif
# if defined __AVX__ || (defined _MSC_FULL_VER && _MSC_FULL_VER >= 160040219)
// MS Visual Studio 2010 (2012?) has no macro pre-defined to identify the use of /arch:AVX
// See: http://connect.microsoft.com/VisualStudio/feedback/details/605858/arch-avx-should-define-a-predefined-macro-in-x64-and-set-a-unique-value-for-m-ix86-fp-in-win32
# include <immintrin.h>
# define CV_AVX 1
# if defined(_XCR_XFEATURE_ENABLED_MASK)
# define __xgetbv() _xgetbv(_XCR_XFEATURE_ENABLED_MASK)
# else
# define __xgetbv() 0
# endif
# endif
# if defined __AVX2__
# include <immintrin.h>
# define CV_AVX2 1
# endif
#endif
#if (defined WIN32 || defined _WIN32) && defined(_M_ARM)
# include <Intrin.h>
# include "arm_neon.h"
# define CV_NEON 1
# define CPU_HAS_NEON_FEATURE (true)
#elif defined(__ARM_NEON__) || defined(__ARM_NEON)
# include <arm_neon.h>
# define CV_NEON 1
# define CPU_HAS_NEON_FEATURE (true)
#endif
#ifndef CV_SSE
# define CV_SSE 0
#endif
#ifndef CV_SSE2
# define CV_SSE2 0
#endif
#ifndef CV_SSE3
# define CV_SSE3 0
#endif
#ifndef CV_SSSE3
# define CV_SSSE3 0
#endif
#ifndef CV_SSE4_1
# define CV_SSE4_1 0
#endif
#ifndef CV_SSE4_2
# define CV_SSE4_2 0
#endif
#ifndef CV_AVX
# define CV_AVX 0
#endif
#ifndef CV_AVX2
# define CV_AVX2 0
#endif
#ifndef CV_NEON
# define CV_NEON 0
#endif
#ifdef HAVE_TBB
# include "tbb/tbb_stddef.h"
# if TBB_VERSION_MAJOR*100 + TBB_VERSION_MINOR >= 202
# include "tbb/tbb.h"
# include "tbb/task.h"
# undef min
# undef max
# else
# undef HAVE_TBB
# endif
#endif
#ifdef HAVE_EIGEN
# if defined __GNUC__ && defined __APPLE__
# pragma GCC diagnostic ignored "-Wshadow"
# endif
# include <Eigen/Core>
# include "opencv2/core/eigen.hpp"
#endif
#ifdef __cplusplus
namespace cv
{
#ifdef HAVE_TBB
typedef tbb::blocked_range<int> BlockedRange;
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
tbb::parallel_for(range, body);
}
template<typename Iterator, typename Body> static inline
void parallel_do( Iterator first, Iterator last, const Body& body )
{
tbb::parallel_do(first, last, body);
}
typedef tbb::split Split;
template<typename Body> static inline
void parallel_reduce( const BlockedRange& range, Body& body )
{
tbb::parallel_reduce(range, body);
}
typedef tbb::concurrent_vector<Rect> ConcurrentRectVector;
typedef tbb::concurrent_vector<double> ConcurrentDoubleVector;
#else
class BlockedRange
{
public:
BlockedRange() : _begin(0), _end(0), _grainsize(0) {}
BlockedRange(int b, int e, int g=1) : _begin(b), _end(e), _grainsize(g) {}
int begin() const { return _begin; }
int end() const { return _end; }
int grainsize() const { return _grainsize; }
protected:
int _begin, _end, _grainsize;
};
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
body(range);
}
typedef std::vector<Rect> ConcurrentRectVector;
typedef std::vector<double> ConcurrentDoubleVector;
template<typename Iterator, typename Body> static inline
void parallel_do( Iterator first, Iterator last, const Body& body )
{
for( ; first != last; ++first )
body(*first);
}
class Split {};
template<typename Body> static inline
void parallel_reduce( const BlockedRange& range, Body& body )
{
body(range);
}
#endif
// Returns a static string if there is a parallel framework,
// NULL otherwise.
CV_EXPORTS const char* currentParallelFramework();
} //namespace cv
#define CV_INIT_ALGORITHM(classname, algname, memberinit) \
static ::cv::Algorithm* create##classname() \
{ \
return new classname; \
} \
\
static ::cv::AlgorithmInfo& classname##_info() \
{ \
static ::cv::AlgorithmInfo classname##_info_var(algname, create##classname); \
return classname##_info_var; \
} \
\
CV_ATTR_USED static ::cv::AlgorithmInfo& classname##_info_auto = classname##_info(); \
\
::cv::AlgorithmInfo* classname::info() const \
{ \
static volatile bool initialized = false; \
\
if( !initialized ) \
{ \
initialized = true; \
classname obj; \
memberinit; \
} \
return &classname##_info(); \
}
#endif //__cplusplus
/* maximal size of vector to run matrix operations on it inline (i.e. w/o ipp calls) */
#define CV_MAX_INLINE_MAT_OP_SIZE 10
/* maximal linear size of matrix to allocate it on stack. */
#define CV_MAX_LOCAL_MAT_SIZE 32
/* maximal size of local memory storage */
#define CV_MAX_LOCAL_SIZE \
(CV_MAX_LOCAL_MAT_SIZE*CV_MAX_LOCAL_MAT_SIZE*(int)sizeof(double))
/* default image row align (in bytes) */
#define CV_DEFAULT_IMAGE_ROW_ALIGN 4
/* matrices are continuous by default */
#define CV_DEFAULT_MAT_ROW_ALIGN 1
/* maximum size of dynamic memory buffer.
cvAlloc reports an error if a larger block is requested. */
#define CV_MAX_ALLOC_SIZE (((size_t)1 << (sizeof(size_t)*8-2)))
/* the alignment of all the allocated buffers */
#define CV_MALLOC_ALIGN 16
/* default alignment for dynamic data strucutures, resided in storages. */
#define CV_STRUCT_ALIGN ((int)sizeof(double))
/* default storage block size */
#define CV_STORAGE_BLOCK_SIZE ((1<<16) - 128)
/* default memory block for sparse array elements */
#define CV_SPARSE_MAT_BLOCK (1<<12)
/* initial hash table size */
#define CV_SPARSE_HASH_SIZE0 (1<<10)
/* maximal average node_count/hash_size ratio beyond which hash table is resized */
#define CV_SPARSE_HASH_RATIO 3
/* max length of strings */
#define CV_MAX_STRLEN 1024
#if 0 /*def CV_CHECK_FOR_NANS*/
# define CV_CHECK_NANS( arr ) cvCheckArray((arr))
#else
# define CV_CHECK_NANS( arr )
#endif
/****************************************************************************************\
* Common declarations *
\****************************************************************************************/
#ifdef __GNUC__
# define CV_DECL_ALIGNED(x) __attribute__ ((aligned (x)))
#elif defined _MSC_VER
# define CV_DECL_ALIGNED(x) __declspec(align(x))
#else
# define CV_DECL_ALIGNED(x)
#endif
#ifndef CV_IMPL
# define CV_IMPL CV_EXTERN_C
#endif
#define CV_DBG_BREAK() { volatile int* crashMe = 0; *crashMe = 0; }
/* default step, set in case of continuous data
to work around checks for valid step in some ipp functions */
#define CV_STUB_STEP (1 << 30)
#define CV_SIZEOF_FLOAT ((int)sizeof(float))
#define CV_SIZEOF_SHORT ((int)sizeof(short))
#define CV_ORIGIN_TL 0
#define CV_ORIGIN_BL 1
/* IEEE754 constants and macros */
#define CV_POS_INF 0x7f800000
#define CV_NEG_INF 0x807fffff /* CV_TOGGLE_FLT(0xff800000) */
#define CV_1F 0x3f800000
#define CV_TOGGLE_FLT(x) ((x)^((int)(x) < 0 ? 0x7fffffff : 0))
#define CV_TOGGLE_DBL(x) \
((x)^((int64)(x) < 0 ? CV_BIG_INT(0x7fffffffffffffff) : 0))
#define CV_NOP(a) (a)
#define CV_ADD(a, b) ((a) + (b))
#define CV_SUB(a, b) ((a) - (b))
#define CV_MUL(a, b) ((a) * (b))
#define CV_AND(a, b) ((a) & (b))
#define CV_OR(a, b) ((a) | (b))
#define CV_XOR(a, b) ((a) ^ (b))
#define CV_ANDN(a, b) (~(a) & (b))
#define CV_ORN(a, b) (~(a) | (b))
#define CV_SQR(a) ((a) * (a))
#define CV_LT(a, b) ((a) < (b))
#define CV_LE(a, b) ((a) <= (b))
#define CV_EQ(a, b) ((a) == (b))
#define CV_NE(a, b) ((a) != (b))
#define CV_GT(a, b) ((a) > (b))
#define CV_GE(a, b) ((a) >= (b))
#define CV_NONZERO(a) ((a) != 0)
#define CV_NONZERO_FLT(a) (((a)+(a)) != 0)
/* general-purpose saturation macros */
#define CV_CAST_8U(t) (uchar)(!((t) & ~255) ? (t) : (t) > 0 ? 255 : 0)
#define CV_CAST_8S(t) (schar)(!(((t)+128) & ~255) ? (t) : (t) > 0 ? 127 : -128)
#define CV_CAST_16U(t) (ushort)(!((t) & ~65535) ? (t) : (t) > 0 ? 65535 : 0)
#define CV_CAST_16S(t) (short)(!(((t)+32768) & ~65535) ? (t) : (t) > 0 ? 32767 : -32768)
#define CV_CAST_32S(t) (int)(t)
#define CV_CAST_64S(t) (int64)(t)
#define CV_CAST_32F(t) (float)(t)
#define CV_CAST_64F(t) (double)(t)
#define CV_PASTE2(a,b) a##b
#define CV_PASTE(a,b) CV_PASTE2(a,b)
#define CV_EMPTY
#define CV_MAKE_STR(a) #a
#define CV_ZERO_OBJ(x) memset((x), 0, sizeof(*(x)))
#define CV_DIM(static_array) ((int)(sizeof(static_array)/sizeof((static_array)[0])))
#define cvUnsupportedFormat "Unsupported format"
CV_INLINE void* cvAlignPtr( const void* ptr, int align CV_DEFAULT(32) )
{
assert( (align & (align-1)) == 0 );
return (void*)( ((size_t)ptr + align - 1) & ~(size_t)(align-1) );
}
CV_INLINE int cvAlign( int size, int align )
{
assert( (align & (align-1)) == 0 && size < INT_MAX );
return (size + align - 1) & -align;
}
CV_INLINE CvSize cvGetMatSize( const CvMat* mat )
{
CvSize size;
size.width = mat->cols;
size.height = mat->rows;
return size;
}
#define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n))
#define CV_FLT_TO_FIX(x,n) cvRound((x)*(1<<(n)))
/****************************************************************************************\
Generic implementation of QuickSort algorithm.
----------------------------------------------
Using this macro user can declare customized sort function that can be much faster
than built-in qsort function because of lower overhead on elements
comparison and exchange. The macro takes less_than (or LT) argument - a macro or function
that takes 2 arguments returns non-zero if the first argument should be before the second
one in the sorted sequence and zero otherwise.
Example:
Suppose that the task is to sort points by ascending of y coordinates and if
y's are equal x's should ascend.
The code is:
------------------------------------------------------------------------------
#define cmp_pts( pt1, pt2 ) \
((pt1).y < (pt2).y || ((pt1).y < (pt2).y && (pt1).x < (pt2).x))
[static] CV_IMPLEMENT_QSORT( icvSortPoints, CvPoint, cmp_pts )
------------------------------------------------------------------------------
After that the function "void icvSortPoints( CvPoint* array, size_t total, int aux );"
is available to user.
aux is an additional parameter, which can be used when comparing elements.
The current implementation was derived from *BSD system qsort():
* Copyright (c) 1992, 1993
* The Regents of the University of California. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions 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.
* 3. All advertising materials mentioning features or use of this software
* must display the following acknowledgement:
* This product includes software developed by the University of
* California, Berkeley and its contributors.
* 4. Neither the name of the University nor the names of its contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE REGENTS 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 REGENTS 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.
\****************************************************************************************/
#define CV_IMPLEMENT_QSORT_EX( func_name, T, LT, user_data_type ) \
void func_name( T *array, size_t total, user_data_type aux ) \
{ \
int isort_thresh = 7; \
T t; \
int sp = 0; \
\
struct \
{ \
T *lb; \
T *ub; \
} \
stack[48]; \
\
(void)aux; \
\
if( total <= 1 ) \
return; \
\
stack[0].lb = array; \
stack[0].ub = array + (total - 1); \
\
while( sp >= 0 ) \
{ \
T* left = stack[sp].lb; \
T* right = stack[sp--].ub; \
\
for(;;) \
{ \
int i, n = (int)(right - left) + 1, m; \
T* ptr; \
T* ptr2; \
\
if( n <= isort_thresh ) \
{ \
insert_sort: \
for( ptr = left + 1; ptr <= right; ptr++ ) \
{ \
for( ptr2 = ptr; ptr2 > left && LT(ptr2[0],ptr2[-1]); ptr2--) \
CV_SWAP( ptr2[0], ptr2[-1], t ); \
} \
break; \
} \
else \
{ \
T* left0; \
T* left1; \
T* right0; \
T* right1; \
T* pivot; \
T* a; \
T* b; \
T* c; \
int swap_cnt = 0; \
\
left0 = left; \
right0 = right; \
pivot = left + (n/2); \
\
if( n > 40 ) \
{ \
int d = n / 8; \
a = left, b = left + d, c = left + 2*d; \
left = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \
: (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \
\
a = pivot - d, b = pivot, c = pivot + d; \
pivot = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \
: (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \
\
a = right - 2*d, b = right - d, c = right; \
right = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \
: (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \
} \
\
a = left, b = pivot, c = right; \
pivot = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \
: (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \
if( pivot != left0 ) \
{ \
CV_SWAP( *pivot, *left0, t ); \
pivot = left0; \
} \
left = left1 = left0 + 1; \
right = right1 = right0; \
\
for(;;) \
{ \
while( left <= right && !LT(*pivot, *left) ) \
{ \
if( !LT(*left, *pivot) ) \
{ \
if( left > left1 ) \
CV_SWAP( *left1, *left, t ); \
swap_cnt = 1; \
left1++; \
} \
left++; \
} \
\
while( left <= right && !LT(*right, *pivot) ) \
{ \
if( !LT(*pivot, *right) ) \
{ \
if( right < right1 ) \
CV_SWAP( *right1, *right, t ); \
swap_cnt = 1; \
right1--; \
} \
right--; \
} \
\
if( left > right ) \
break; \
CV_SWAP( *left, *right, t ); \
swap_cnt = 1; \
left++; \
right--; \
} \
\
if( swap_cnt == 0 ) \
{ \
left = left0, right = right0; \
goto insert_sort; \
} \
\
n = MIN( (int)(left1 - left0), (int)(left - left1) ); \
for( i = 0; i < n; i++ ) \
CV_SWAP( left0[i], left[i-n], t ); \
\
n = MIN( (int)(right0 - right1), (int)(right1 - right) ); \
for( i = 0; i < n; i++ ) \
CV_SWAP( left[i], right0[i-n+1], t ); \
n = (int)(left - left1); \
m = (int)(right1 - right); \
if( n > 1 ) \
{ \
if( m > 1 ) \
{ \
if( n > m ) \
{ \
stack[++sp].lb = left0; \
stack[sp].ub = left0 + n - 1; \
left = right0 - m + 1, right = right0; \
} \
else \
{ \
stack[++sp].lb = right0 - m + 1; \
stack[sp].ub = right0; \
left = left0, right = left0 + n - 1; \
} \
} \
else \
left = left0, right = left0 + n - 1; \
} \
else if( m > 1 ) \
left = right0 - m + 1, right = right0; \
else \
break; \
} \
} \
} \
}
#define CV_IMPLEMENT_QSORT( func_name, T, cmp ) \
CV_IMPLEMENT_QSORT_EX( func_name, T, cmp, int )
/****************************************************************************************\
* Structures and macros for integration with IPP *
\****************************************************************************************/
/* IPP-compatible return codes */
typedef enum CvStatus
{
CV_BADMEMBLOCK_ERR = -113,
CV_INPLACE_NOT_SUPPORTED_ERR= -112,
CV_UNMATCHED_ROI_ERR = -111,
CV_NOTFOUND_ERR = -110,
CV_BADCONVERGENCE_ERR = -109,
CV_BADDEPTH_ERR = -107,
CV_BADROI_ERR = -106,
CV_BADHEADER_ERR = -105,
CV_UNMATCHED_FORMATS_ERR = -104,
CV_UNSUPPORTED_COI_ERR = -103,
CV_UNSUPPORTED_CHANNELS_ERR = -102,
CV_UNSUPPORTED_DEPTH_ERR = -101,
CV_UNSUPPORTED_FORMAT_ERR = -100,
CV_BADARG_ERR = -49, //ipp comp
CV_NOTDEFINED_ERR = -48, //ipp comp
CV_BADCHANNELS_ERR = -47, //ipp comp
CV_BADRANGE_ERR = -44, //ipp comp
CV_BADSTEP_ERR = -29, //ipp comp
CV_BADFLAG_ERR = -12,
CV_DIV_BY_ZERO_ERR = -11, //ipp comp
CV_BADCOEF_ERR = -10,
CV_BADFACTOR_ERR = -7,
CV_BADPOINT_ERR = -6,
CV_BADSCALE_ERR = -4,
CV_OUTOFMEM_ERR = -3,
CV_NULLPTR_ERR = -2,
CV_BADSIZE_ERR = -1,
CV_NO_ERR = 0,
CV_OK = CV_NO_ERR
}
CvStatus;
#define CV_NOTHROW throw()
typedef struct CvFuncTable
{
void* fn_2d[CV_DEPTH_MAX];
}
CvFuncTable;
typedef struct CvBigFuncTable
{
void* fn_2d[CV_DEPTH_MAX*4];
} CvBigFuncTable;
#define CV_INIT_FUNC_TAB( tab, FUNCNAME, FLAG ) \
(tab).fn_2d[CV_8U] = (void*)FUNCNAME##_8u##FLAG; \
(tab).fn_2d[CV_8S] = 0; \
(tab).fn_2d[CV_16U] = (void*)FUNCNAME##_16u##FLAG; \
(tab).fn_2d[CV_16S] = (void*)FUNCNAME##_16s##FLAG; \
(tab).fn_2d[CV_32S] = (void*)FUNCNAME##_32s##FLAG; \
(tab).fn_2d[CV_32F] = (void*)FUNCNAME##_32f##FLAG; \
(tab).fn_2d[CV_64F] = (void*)FUNCNAME##_64f##FLAG
#ifdef __cplusplus
// < Deprecated
class CV_EXPORTS CvOpenGlFuncTab
{
public:
virtual ~CvOpenGlFuncTab();
virtual void genBuffers(int n, unsigned int* buffers) const = 0;
virtual void deleteBuffers(int n, const unsigned int* buffers) const = 0;
virtual void bufferData(unsigned int target, ptrdiff_t size, const void* data, unsigned int usage) const = 0;
virtual void bufferSubData(unsigned int target, ptrdiff_t offset, ptrdiff_t size, const void* data) const = 0;
virtual void bindBuffer(unsigned int target, unsigned int buffer) const = 0;
virtual void* mapBuffer(unsigned int target, unsigned int access) const = 0;
virtual void unmapBuffer(unsigned int target) const = 0;
virtual void generateBitmapFont(const std::string& family, int height, int weight, bool italic, bool underline, int start, int count, int base) const = 0;
virtual bool isGlContextInitialized() const = 0;
};
CV_EXPORTS void icvSetOpenGlFuncTab(const CvOpenGlFuncTab* tab);
CV_EXPORTS bool icvCheckGlError(const char* file, const int line, const char* func = "");
// >
namespace cv { namespace ogl {
CV_EXPORTS bool checkError(const char* file, const int line, const char* func = "");
}}
#define CV_CheckGlError() CV_DbgAssert( (cv::ogl::checkError(__FILE__, __LINE__, CV_Func)) )
#endif //__cplusplus
#endif // __OPENCV_CORE_INTERNAL_HPP__

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/*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.
// 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*/
#ifndef __OPENCV_OPENGL_INTEROP_HPP__
#define __OPENCV_OPENGL_INTEROP_HPP__
#ifdef __cplusplus
#include "opencv2/core/core.hpp"
#include "opencv2/core/opengl_interop_deprecated.hpp"
namespace cv { namespace ogl {
/////////////////// OpenGL Objects ///////////////////
//! Smart pointer for OpenGL buffer memory with reference counting.
class CV_EXPORTS Buffer
{
public:
enum Target
{
ARRAY_BUFFER = 0x8892, //!< The buffer will be used as a source for vertex data
ELEMENT_ARRAY_BUFFER = 0x8893, //!< The buffer will be used for indices (in glDrawElements, for example)
PIXEL_PACK_BUFFER = 0x88EB, //!< The buffer will be used for reading from OpenGL textures
PIXEL_UNPACK_BUFFER = 0x88EC //!< The buffer will be used for writing to OpenGL textures
};
enum Access
{
READ_ONLY = 0x88B8,
WRITE_ONLY = 0x88B9,
READ_WRITE = 0x88BA
};
//! create empty buffer
Buffer();
//! create buffer from existed buffer id
Buffer(int arows, int acols, int atype, unsigned int abufId, bool autoRelease = false);
Buffer(Size asize, int atype, unsigned int abufId, bool autoRelease = false);
//! create buffer
Buffer(int arows, int acols, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false);
Buffer(Size asize, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false);
//! copy from host/device memory
explicit Buffer(InputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false);
//! create buffer
void create(int arows, int acols, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false);
void create(Size asize, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false) { create(asize.height, asize.width, atype, target, autoRelease); }
//! release memory and delete buffer object
void release();
//! set auto release mode (if true, release will be called in object's destructor)
void setAutoRelease(bool flag);
//! copy from host/device memory
void copyFrom(InputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false);
//! copy to host/device memory
void copyTo(OutputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false) const;
//! create copy of current buffer
Buffer clone(Target target = ARRAY_BUFFER, bool autoRelease = false) const;
//! bind buffer for specified target
void bind(Target target) const;
//! unbind any buffers from specified target
static void unbind(Target target);
//! map to host memory
Mat mapHost(Access access);
void unmapHost();
//! map to device memory
gpu::GpuMat mapDevice();
void unmapDevice();
int rows() const { return rows_; }
int cols() const { return cols_; }
Size size() const { return Size(cols_, rows_); }
bool empty() const { return rows_ == 0 || cols_ == 0; }
int type() const { return type_; }
int depth() const { return CV_MAT_DEPTH(type_); }
int channels() const { return CV_MAT_CN(type_); }
int elemSize() const { return CV_ELEM_SIZE(type_); }
int elemSize1() const { return CV_ELEM_SIZE1(type_); }
unsigned int bufId() const;
class Impl;
private:
Ptr<Impl> impl_;
int rows_;
int cols_;
int type_;
};
//! Smart pointer for OpenGL 2D texture memory with reference counting.
class CV_EXPORTS Texture2D
{
public:
enum Format
{
NONE = 0,
DEPTH_COMPONENT = 0x1902, //!< Depth
RGB = 0x1907, //!< Red, Green, Blue
RGBA = 0x1908 //!< Red, Green, Blue, Alpha
};
//! create empty texture
Texture2D();
//! create texture from existed texture id
Texture2D(int arows, int acols, Format aformat, unsigned int atexId, bool autoRelease = false);
Texture2D(Size asize, Format aformat, unsigned int atexId, bool autoRelease = false);
//! create texture
Texture2D(int arows, int acols, Format aformat, bool autoRelease = false);
Texture2D(Size asize, Format aformat, bool autoRelease = false);
//! copy from host/device memory
explicit Texture2D(InputArray arr, bool autoRelease = false);
//! create texture
void create(int arows, int acols, Format aformat, bool autoRelease = false);
void create(Size asize, Format aformat, bool autoRelease = false) { create(asize.height, asize.width, aformat, autoRelease); }
//! release memory and delete texture object
void release();
//! set auto release mode (if true, release will be called in object's destructor)
void setAutoRelease(bool flag);
//! copy from host/device memory
void copyFrom(InputArray arr, bool autoRelease = false);
//! copy to host/device memory
void copyTo(OutputArray arr, int ddepth = CV_32F, bool autoRelease = false) const;
//! bind texture to current active texture unit for GL_TEXTURE_2D target
void bind() const;
int rows() const { return rows_; }
int cols() const { return cols_; }
Size size() const { return Size(cols_, rows_); }
bool empty() const { return rows_ == 0 || cols_ == 0; }
Format format() const { return format_; }
unsigned int texId() const;
class Impl;
private:
Ptr<Impl> impl_;
int rows_;
int cols_;
Format format_;
};
//! OpenGL Arrays
class CV_EXPORTS Arrays
{
public:
Arrays();
void setVertexArray(InputArray vertex);
void resetVertexArray();
void setColorArray(InputArray color);
void resetColorArray();
void setNormalArray(InputArray normal);
void resetNormalArray();
void setTexCoordArray(InputArray texCoord);
void resetTexCoordArray();
void release();
void setAutoRelease(bool flag);
void bind() const;
int size() const { return size_; }
bool empty() const { return size_ == 0; }
private:
int size_;
Buffer vertex_;
Buffer color_;
Buffer normal_;
Buffer texCoord_;
};
/////////////////// Render Functions ///////////////////
//! render texture rectangle in window
CV_EXPORTS void render(const Texture2D& tex,
Rect_<double> wndRect = Rect_<double>(0.0, 0.0, 1.0, 1.0),
Rect_<double> texRect = Rect_<double>(0.0, 0.0, 1.0, 1.0));
//! render mode
enum {
POINTS = 0x0000,
LINES = 0x0001,
LINE_LOOP = 0x0002,
LINE_STRIP = 0x0003,
TRIANGLES = 0x0004,
TRIANGLE_STRIP = 0x0005,
TRIANGLE_FAN = 0x0006,
QUADS = 0x0007,
QUAD_STRIP = 0x0008,
POLYGON = 0x0009
};
//! render OpenGL arrays
CV_EXPORTS void render(const Arrays& arr, int mode = POINTS, Scalar color = Scalar::all(255));
CV_EXPORTS void render(const Arrays& arr, InputArray indices, int mode = POINTS, Scalar color = Scalar::all(255));
}} // namespace cv::gl
namespace cv { namespace gpu {
//! set a CUDA device to use OpenGL interoperability
CV_EXPORTS void setGlDevice(int device = 0);
}}
namespace cv {
template <> CV_EXPORTS void Ptr<cv::ogl::Buffer::Impl>::delete_obj();
template <> CV_EXPORTS void Ptr<cv::ogl::Texture2D::Impl>::delete_obj();
}
#endif // __cplusplus
#endif // __OPENCV_OPENGL_INTEROP_HPP__

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/*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.
// 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*/
#ifndef __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__
#define __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__
#ifdef __cplusplus
#include "opencv2/core/core.hpp"
namespace cv
{
//! Smart pointer for OpenGL buffer memory with reference counting.
class CV_EXPORTS GlBuffer
{
public:
enum Usage
{
ARRAY_BUFFER = 0x8892, // buffer will use for OpenGL arrays (vertices, colors, normals, etc)
TEXTURE_BUFFER = 0x88EC // buffer will ise for OpenGL textures
};
//! create empty buffer
explicit GlBuffer(Usage usage);
//! create buffer
GlBuffer(int rows, int cols, int type, Usage usage);
GlBuffer(Size size, int type, Usage usage);
//! copy from host/device memory
GlBuffer(InputArray mat, Usage usage);
void create(int rows, int cols, int type, Usage usage);
void create(Size size, int type, Usage usage);
void create(int rows, int cols, int type);
void create(Size size, int type);
void release();
//! copy from host/device memory
void copyFrom(InputArray mat);
void bind() const;
void unbind() const;
//! map to host memory
Mat mapHost();
void unmapHost();
//! map to device memory
gpu::GpuMat mapDevice();
void unmapDevice();
inline int rows() const { return rows_; }
inline int cols() const { return cols_; }
inline Size size() const { return Size(cols_, rows_); }
inline bool empty() const { return rows_ == 0 || cols_ == 0; }
inline int type() const { return type_; }
inline int depth() const { return CV_MAT_DEPTH(type_); }
inline int channels() const { return CV_MAT_CN(type_); }
inline int elemSize() const { return CV_ELEM_SIZE(type_); }
inline int elemSize1() const { return CV_ELEM_SIZE1(type_); }
inline Usage usage() const { return usage_; }
class Impl;
private:
int rows_;
int cols_;
int type_;
Usage usage_;
Ptr<Impl> impl_;
};
template <> CV_EXPORTS void Ptr<GlBuffer::Impl>::delete_obj();
//! Smart pointer for OpenGL 2d texture memory with reference counting.
class CV_EXPORTS GlTexture
{
public:
//! create empty texture
GlTexture();
//! create texture
GlTexture(int rows, int cols, int type);
GlTexture(Size size, int type);
//! copy from host/device memory
explicit GlTexture(InputArray mat, bool bgra = true);
void create(int rows, int cols, int type);
void create(Size size, int type);
void release();
//! copy from host/device memory
void copyFrom(InputArray mat, bool bgra = true);
void bind() const;
void unbind() const;
inline int rows() const { return rows_; }
inline int cols() const { return cols_; }
inline Size size() const { return Size(cols_, rows_); }
inline bool empty() const { return rows_ == 0 || cols_ == 0; }
inline int type() const { return type_; }
inline int depth() const { return CV_MAT_DEPTH(type_); }
inline int channels() const { return CV_MAT_CN(type_); }
inline int elemSize() const { return CV_ELEM_SIZE(type_); }
inline int elemSize1() const { return CV_ELEM_SIZE1(type_); }
class Impl;
private:
int rows_;
int cols_;
int type_;
Ptr<Impl> impl_;
GlBuffer buf_;
};
template <> CV_EXPORTS void Ptr<GlTexture::Impl>::delete_obj();
//! OpenGL Arrays
class CV_EXPORTS GlArrays
{
public:
inline GlArrays()
: vertex_(GlBuffer::ARRAY_BUFFER), color_(GlBuffer::ARRAY_BUFFER), normal_(GlBuffer::ARRAY_BUFFER), texCoord_(GlBuffer::ARRAY_BUFFER)
{
}
void setVertexArray(InputArray vertex);
inline void resetVertexArray() { vertex_.release(); }
void setColorArray(InputArray color, bool bgra = true);
inline void resetColorArray() { color_.release(); }
void setNormalArray(InputArray normal);
inline void resetNormalArray() { normal_.release(); }
void setTexCoordArray(InputArray texCoord);
inline void resetTexCoordArray() { texCoord_.release(); }
void bind() const;
void unbind() const;
inline int rows() const { return vertex_.rows(); }
inline int cols() const { return vertex_.cols(); }
inline Size size() const { return vertex_.size(); }
inline bool empty() const { return vertex_.empty(); }
private:
GlBuffer vertex_;
GlBuffer color_;
GlBuffer normal_;
GlBuffer texCoord_;
};
//! OpenGL Font
class CV_EXPORTS GlFont
{
public:
enum Weight
{
WEIGHT_LIGHT = 300,
WEIGHT_NORMAL = 400,
WEIGHT_SEMIBOLD = 600,
WEIGHT_BOLD = 700,
WEIGHT_BLACK = 900
};
enum Style
{
STYLE_NORMAL = 0,
STYLE_ITALIC = 1,
STYLE_UNDERLINE = 2
};
static Ptr<GlFont> get(const std::string& family, int height = 12, Weight weight = WEIGHT_NORMAL, Style style = STYLE_NORMAL);
void draw(const char* str, int len) const;
inline const std::string& family() const { return family_; }
inline int height() const { return height_; }
inline Weight weight() const { return weight_; }
inline Style style() const { return style_; }
private:
GlFont(const std::string& family, int height, Weight weight, Style style);
std::string family_;
int height_;
Weight weight_;
Style style_;
unsigned int base_;
GlFont(const GlFont&);
GlFont& operator =(const GlFont&);
};
//! render functions
//! render texture rectangle in window
CV_EXPORTS void render(const GlTexture& tex,
Rect_<double> wndRect = Rect_<double>(0.0, 0.0, 1.0, 1.0),
Rect_<double> texRect = Rect_<double>(0.0, 0.0, 1.0, 1.0));
//! render mode
namespace RenderMode {
enum {
POINTS = 0x0000,
LINES = 0x0001,
LINE_LOOP = 0x0002,
LINE_STRIP = 0x0003,
TRIANGLES = 0x0004,
TRIANGLE_STRIP = 0x0005,
TRIANGLE_FAN = 0x0006,
QUADS = 0x0007,
QUAD_STRIP = 0x0008,
POLYGON = 0x0009
};
}
//! render OpenGL arrays
CV_EXPORTS void render(const GlArrays& arr, int mode = RenderMode::POINTS, Scalar color = Scalar::all(255));
CV_EXPORTS void render(const std::string& str, const Ptr<GlFont>& font, Scalar color, Point2d pos);
//! OpenGL camera
class CV_EXPORTS GlCamera
{
public:
GlCamera();
void lookAt(Point3d eye, Point3d center, Point3d up);
void setCameraPos(Point3d pos, double yaw, double pitch, double roll);
void setScale(Point3d scale);
void setProjectionMatrix(const Mat& projectionMatrix, bool transpose = true);
void setPerspectiveProjection(double fov, double aspect, double zNear, double zFar);
void setOrthoProjection(double left, double right, double bottom, double top, double zNear, double zFar);
void setupProjectionMatrix() const;
void setupModelViewMatrix() const;
};
inline void GlBuffer::create(Size _size, int _type, Usage _usage) { create(_size.height, _size.width, _type, _usage); }
inline void GlBuffer::create(int _rows, int _cols, int _type) { create(_rows, _cols, _type, usage()); }
inline void GlBuffer::create(Size _size, int _type) { create(_size.height, _size.width, _type, usage()); }
inline void GlTexture::create(Size _size, int _type) { create(_size.height, _size.width, _type); }
} // namespace cv
#endif // __cplusplus
#endif // __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__

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/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright( C) 2000, Intel Corporation, 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 Intel Corporation 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*/
/*
definition of the current version of OpenCV
Usefull to test in user programs
*/
#ifndef __OPENCV_VERSION_HPP__
#define __OPENCV_VERSION_HPP__
#define CV_VERSION_EPOCH 2
#define CV_VERSION_MAJOR 4
#define CV_VERSION_MINOR 13
#define CV_VERSION_REVISION 6
#define CVAUX_STR_EXP(__A) #__A
#define CVAUX_STR(__A) CVAUX_STR_EXP(__A)
#define CVAUX_STRW_EXP(__A) L ## #__A
#define CVAUX_STRW(__A) CVAUX_STRW_EXP(__A)
#if CV_VERSION_REVISION
# define CV_VERSION CVAUX_STR(CV_VERSION_EPOCH) "." CVAUX_STR(CV_VERSION_MAJOR) "." CVAUX_STR(CV_VERSION_MINOR) "." CVAUX_STR(CV_VERSION_REVISION)
#else
# define CV_VERSION CVAUX_STR(CV_VERSION_EPOCH) "." CVAUX_STR(CV_VERSION_MAJOR) "." CVAUX_STR(CV_VERSION_MINOR)
#endif
/* old style version constants*/
#define CV_MAJOR_VERSION CV_VERSION_EPOCH
#define CV_MINOR_VERSION CV_VERSION_MAJOR
#define CV_SUBMINOR_VERSION CV_VERSION_MINOR
#endif

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///////////////////////////////////////////////////////////////////////////////
// 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) 2008, Google, 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 Intel Corporation or contributors 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.
/////////////////////////////////////////////////////////////////////////////////
//
// Image class which provides a thin layer around an IplImage. The goals
// of the class design are:
// 1. All the data has explicit ownership to avoid memory leaks
// 2. No hidden allocations or copies for performance.
// 3. Easy access to OpenCV methods (which will access IPP if available)
// 4. Can easily treat external data as an image
// 5. Easy to create images which are subsets of other images
// 6. Fast pixel access which can take advantage of number of channels
// if known at compile time.
//
// The WImage class is the image class which provides the data accessors.
// The 'W' comes from the fact that it is also a wrapper around the popular
// but inconvenient IplImage class. A WImage can be constructed either using a
// WImageBuffer class which allocates and frees the data,
// or using a WImageView class which constructs a subimage or a view into
// external data. The view class does no memory management. Each class
// actually has two versions, one when the number of channels is known at
// compile time and one when it isn't. Using the one with the number of
// channels specified can provide some compile time optimizations by using the
// fact that the number of channels is a constant.
//
// We use the convention (c,r) to refer to column c and row r with (0,0) being
// the upper left corner. This is similar to standard Euclidean coordinates
// with the first coordinate varying in the horizontal direction and the second
// coordinate varying in the vertical direction.
// Thus (c,r) is usually in the domain [0, width) X [0, height)
//
// Example usage:
// WImageBuffer3_b im(5,7); // Make a 5X7 3 channel image of type uchar
// WImageView3_b sub_im(im, 2,2, 3,3); // 3X3 submatrix
// vector<float> vec(10, 3.0f);
// WImageView1_f user_im(&vec[0], 2, 5); // 2X5 image w/ supplied data
//
// im.SetZero(); // same as cvSetZero(im.Ipl())
// *im(2, 3) = 15; // Modify the element at column 2, row 3
// MySetRand(&sub_im);
//
// // Copy the second row into the first. This can be done with no memory
// // allocation and will use SSE if IPP is available.
// int w = im.Width();
// im.View(0,0, w,1).CopyFrom(im.View(0,1, w,1));
//
// // Doesn't care about source of data since using WImage
// void MySetRand(WImage_b* im) { // Works with any number of channels
// for (int r = 0; r < im->Height(); ++r) {
// float* row = im->Row(r);
// for (int c = 0; c < im->Width(); ++c) {
// for (int ch = 0; ch < im->Channels(); ++ch, ++row) {
// *row = uchar(rand() & 255);
// }
// }
// }
// }
//
// Functions that are not part of the basic image allocation, viewing, and
// access should come from OpenCV, except some useful functions that are not
// part of OpenCV can be found in wimage_util.h
#ifndef __OPENCV_CORE_WIMAGE_HPP__
#define __OPENCV_CORE_WIMAGE_HPP__
#include "opencv2/core/core_c.h"
#ifdef __cplusplus
namespace cv {
template <typename T> class WImage;
template <typename T> class WImageBuffer;
template <typename T> class WImageView;
template<typename T, int C> class WImageC;
template<typename T, int C> class WImageBufferC;
template<typename T, int C> class WImageViewC;
// Commonly used typedefs.
typedef WImage<uchar> WImage_b;
typedef WImageView<uchar> WImageView_b;
typedef WImageBuffer<uchar> WImageBuffer_b;
typedef WImageC<uchar, 1> WImage1_b;
typedef WImageViewC<uchar, 1> WImageView1_b;
typedef WImageBufferC<uchar, 1> WImageBuffer1_b;
typedef WImageC<uchar, 3> WImage3_b;
typedef WImageViewC<uchar, 3> WImageView3_b;
typedef WImageBufferC<uchar, 3> WImageBuffer3_b;
typedef WImage<float> WImage_f;
typedef WImageView<float> WImageView_f;
typedef WImageBuffer<float> WImageBuffer_f;
typedef WImageC<float, 1> WImage1_f;
typedef WImageViewC<float, 1> WImageView1_f;
typedef WImageBufferC<float, 1> WImageBuffer1_f;
typedef WImageC<float, 3> WImage3_f;
typedef WImageViewC<float, 3> WImageView3_f;
typedef WImageBufferC<float, 3> WImageBuffer3_f;
// There isn't a standard for signed and unsigned short so be more
// explicit in the typename for these cases.
typedef WImage<short> WImage_16s;
typedef WImageView<short> WImageView_16s;
typedef WImageBuffer<short> WImageBuffer_16s;
typedef WImageC<short, 1> WImage1_16s;
typedef WImageViewC<short, 1> WImageView1_16s;
typedef WImageBufferC<short, 1> WImageBuffer1_16s;
typedef WImageC<short, 3> WImage3_16s;
typedef WImageViewC<short, 3> WImageView3_16s;
typedef WImageBufferC<short, 3> WImageBuffer3_16s;
typedef WImage<ushort> WImage_16u;
typedef WImageView<ushort> WImageView_16u;
typedef WImageBuffer<ushort> WImageBuffer_16u;
typedef WImageC<ushort, 1> WImage1_16u;
typedef WImageViewC<ushort, 1> WImageView1_16u;
typedef WImageBufferC<ushort, 1> WImageBuffer1_16u;
typedef WImageC<ushort, 3> WImage3_16u;
typedef WImageViewC<ushort, 3> WImageView3_16u;
typedef WImageBufferC<ushort, 3> WImageBuffer3_16u;
//
// WImage definitions
//
// This WImage class gives access to the data it refers to. It can be
// constructed either by allocating the data with a WImageBuffer class or
// using the WImageView class to refer to a subimage or outside data.
template<typename T>
class WImage
{
public:
typedef T BaseType;
// WImage is an abstract class with no other virtual methods so make the
// destructor virtual.
virtual ~WImage() = 0;
// Accessors
IplImage* Ipl() {return image_; }
const IplImage* Ipl() const {return image_; }
T* ImageData() { return reinterpret_cast<T*>(image_->imageData); }
const T* ImageData() const {
return reinterpret_cast<const T*>(image_->imageData);
}
int Width() const {return image_->width; }
int Height() const {return image_->height; }
// WidthStep is the number of bytes to go to the pixel with the next y coord
int WidthStep() const {return image_->widthStep; }
int Channels() const {return image_->nChannels; }
int ChannelSize() const {return sizeof(T); } // number of bytes per channel
// Number of bytes per pixel
int PixelSize() const {return Channels() * ChannelSize(); }
// Return depth type (e.g. IPL_DEPTH_8U, IPL_DEPTH_32F) which is the number
// of bits per channel and with the signed bit set.
// This is known at compile time using specializations.
int Depth() const;
inline const T* Row(int r) const {
return reinterpret_cast<T*>(image_->imageData + r*image_->widthStep);
}
inline T* Row(int r) {
return reinterpret_cast<T*>(image_->imageData + r*image_->widthStep);
}
// Pixel accessors which returns a pointer to the start of the channel
inline T* operator() (int c, int r) {
return reinterpret_cast<T*>(image_->imageData + r*image_->widthStep) +
c*Channels();
}
inline const T* operator() (int c, int r) const {
return reinterpret_cast<T*>(image_->imageData + r*image_->widthStep) +
c*Channels();
}
// Copy the contents from another image which is just a convenience to cvCopy
void CopyFrom(const WImage<T>& src) { cvCopy(src.Ipl(), image_); }
// Set contents to zero which is just a convenient to cvSetZero
void SetZero() { cvSetZero(image_); }
// Construct a view into a region of this image
WImageView<T> View(int c, int r, int width, int height);
protected:
// Disallow copy and assignment
WImage(const WImage&);
void operator=(const WImage&);
explicit WImage(IplImage* img) : image_(img) {
assert(!img || img->depth == Depth());
}
void SetIpl(IplImage* image) {
assert(!image || image->depth == Depth());
image_ = image;
}
IplImage* image_;
};
// Image class when both the pixel type and number of channels
// are known at compile time. This wrapper will speed up some of the operations
// like accessing individual pixels using the () operator.
template<typename T, int C>
class WImageC : public WImage<T>
{
public:
typedef typename WImage<T>::BaseType BaseType;
enum { kChannels = C };
explicit WImageC(IplImage* img) : WImage<T>(img) {
assert(!img || img->nChannels == Channels());
}
// Construct a view into a region of this image
WImageViewC<T, C> View(int c, int r, int width, int height);
// Copy the contents from another image which is just a convenience to cvCopy
void CopyFrom(const WImageC<T, C>& src) {
cvCopy(src.Ipl(), WImage<T>::image_);
}
// WImageC is an abstract class with no other virtual methods so make the
// destructor virtual.
virtual ~WImageC() = 0;
int Channels() const {return C; }
protected:
// Disallow copy and assignment
WImageC(const WImageC&);
void operator=(const WImageC&);
void SetIpl(IplImage* image) {
assert(!image || image->depth == WImage<T>::Depth());
WImage<T>::SetIpl(image);
}
};
//
// WImageBuffer definitions
//
// Image class which owns the data, so it can be allocated and is always
// freed. It cannot be copied but can be explicity cloned.
//
template<typename T>
class WImageBuffer : public WImage<T>
{
public:
typedef typename WImage<T>::BaseType BaseType;
// Default constructor which creates an object that can be
WImageBuffer() : WImage<T>(0) {}
WImageBuffer(int width, int height, int nchannels) : WImage<T>(0) {
Allocate(width, height, nchannels);
}
// Constructor which takes ownership of a given IplImage so releases
// the image on destruction.
explicit WImageBuffer(IplImage* img) : WImage<T>(img) {}
// Allocate an image. Does nothing if current size is the same as
// the new size.
void Allocate(int width, int height, int nchannels);
// Set the data to point to an image, releasing the old data
void SetIpl(IplImage* img) {
ReleaseImage();
WImage<T>::SetIpl(img);
}
// Clone an image which reallocates the image if of a different dimension.
void CloneFrom(const WImage<T>& src) {
Allocate(src.Width(), src.Height(), src.Channels());
CopyFrom(src);
}
~WImageBuffer() {
ReleaseImage();
}
// Release the image if it isn't null.
void ReleaseImage() {
if (WImage<T>::image_) {
IplImage* image = WImage<T>::image_;
cvReleaseImage(&image);
WImage<T>::SetIpl(0);
}
}
bool IsNull() const {return WImage<T>::image_ == NULL; }
private:
// Disallow copy and assignment
WImageBuffer(const WImageBuffer&);
void operator=(const WImageBuffer&);
};
// Like a WImageBuffer class but when the number of channels is known
// at compile time.
template<typename T, int C>
class WImageBufferC : public WImageC<T, C>
{
public:
typedef typename WImage<T>::BaseType BaseType;
enum { kChannels = C };
// Default constructor which creates an object that can be
WImageBufferC() : WImageC<T, C>(0) {}
WImageBufferC(int width, int height) : WImageC<T, C>(0) {
Allocate(width, height);
}
// Constructor which takes ownership of a given IplImage so releases
// the image on destruction.
explicit WImageBufferC(IplImage* img) : WImageC<T, C>(img) {}
// Allocate an image. Does nothing if current size is the same as
// the new size.
void Allocate(int width, int height);
// Set the data to point to an image, releasing the old data
void SetIpl(IplImage* img) {
ReleaseImage();
WImageC<T, C>::SetIpl(img);
}
// Clone an image which reallocates the image if of a different dimension.
void CloneFrom(const WImageC<T, C>& src) {
Allocate(src.Width(), src.Height());
CopyFrom(src);
}
~WImageBufferC() {
ReleaseImage();
}
// Release the image if it isn't null.
void ReleaseImage() {
if (WImage<T>::image_) {
IplImage* image = WImage<T>::image_;
cvReleaseImage(&image);
WImageC<T, C>::SetIpl(0);
}
}
bool IsNull() const {return WImage<T>::image_ == NULL; }
private:
// Disallow copy and assignment
WImageBufferC(const WImageBufferC&);
void operator=(const WImageBufferC&);
};
//
// WImageView definitions
//
// View into an image class which allows treating a subimage as an image
// or treating external data as an image
//
template<typename T>
class WImageView : public WImage<T>
{
public:
typedef typename WImage<T>::BaseType BaseType;
// Construct a subimage. No checks are done that the subimage lies
// completely inside the original image.
WImageView(WImage<T>* img, int c, int r, int width, int height);
// Refer to external data.
// If not given width_step assumed to be same as width.
WImageView(T* data, int width, int height, int channels, int width_step = -1);
// Refer to external data. This does NOT take ownership
// of the supplied IplImage.
WImageView(IplImage* img) : WImage<T>(img) {}
// Copy constructor
WImageView(const WImage<T>& img) : WImage<T>(0) {
header_ = *(img.Ipl());
WImage<T>::SetIpl(&header_);
}
WImageView& operator=(const WImage<T>& img) {
header_ = *(img.Ipl());
WImage<T>::SetIpl(&header_);
return *this;
}
protected:
IplImage header_;
};
template<typename T, int C>
class WImageViewC : public WImageC<T, C>
{
public:
typedef typename WImage<T>::BaseType BaseType;
enum { kChannels = C };
// Default constructor needed for vectors of views.
WImageViewC();
virtual ~WImageViewC() {}
// Construct a subimage. No checks are done that the subimage lies
// completely inside the original image.
WImageViewC(WImageC<T, C>* img,
int c, int r, int width, int height);
// Refer to external data
WImageViewC(T* data, int width, int height, int width_step = -1);
// Refer to external data. This does NOT take ownership
// of the supplied IplImage.
WImageViewC(IplImage* img) : WImageC<T, C>(img) {}
// Copy constructor which does a shallow copy to allow multiple views
// of same data. gcc-4.1.1 gets confused if both versions of
// the constructor and assignment operator are not provided.
WImageViewC(const WImageC<T, C>& img) : WImageC<T, C>(0) {
header_ = *(img.Ipl());
WImageC<T, C>::SetIpl(&header_);
}
WImageViewC(const WImageViewC<T, C>& img) : WImageC<T, C>(0) {
header_ = *(img.Ipl());
WImageC<T, C>::SetIpl(&header_);
}
WImageViewC& operator=(const WImageC<T, C>& img) {
header_ = *(img.Ipl());
WImageC<T, C>::SetIpl(&header_);
return *this;
}
WImageViewC& operator=(const WImageViewC<T, C>& img) {
header_ = *(img.Ipl());
WImageC<T, C>::SetIpl(&header_);
return *this;
}
protected:
IplImage header_;
};
// Specializations for depth
template<>
inline int WImage<uchar>::Depth() const {return IPL_DEPTH_8U; }
template<>
inline int WImage<signed char>::Depth() const {return IPL_DEPTH_8S; }
template<>
inline int WImage<short>::Depth() const {return IPL_DEPTH_16S; }
template<>
inline int WImage<ushort>::Depth() const {return IPL_DEPTH_16U; }
template<>
inline int WImage<int>::Depth() const {return IPL_DEPTH_32S; }
template<>
inline int WImage<float>::Depth() const {return IPL_DEPTH_32F; }
template<>
inline int WImage<double>::Depth() const {return IPL_DEPTH_64F; }
//
// Pure virtual destructors still need to be defined.
//
template<typename T> inline WImage<T>::~WImage() {}
template<typename T, int C> inline WImageC<T, C>::~WImageC() {}
//
// Allocate ImageData
//
template<typename T>
inline void WImageBuffer<T>::Allocate(int width, int height, int nchannels)
{
if (IsNull() || WImage<T>::Width() != width ||
WImage<T>::Height() != height || WImage<T>::Channels() != nchannels) {
ReleaseImage();
WImage<T>::image_ = cvCreateImage(cvSize(width, height),
WImage<T>::Depth(), nchannels);
}
}
template<typename T, int C>
inline void WImageBufferC<T, C>::Allocate(int width, int height)
{
if (IsNull() || WImage<T>::Width() != width || WImage<T>::Height() != height) {
ReleaseImage();
WImageC<T, C>::SetIpl(cvCreateImage(cvSize(width, height),WImage<T>::Depth(), C));
}
}
//
// ImageView methods
//
template<typename T>
WImageView<T>::WImageView(WImage<T>* img, int c, int r, int width, int height)
: WImage<T>(0)
{
header_ = *(img->Ipl());
header_.imageData = reinterpret_cast<char*>((*img)(c, r));
header_.width = width;
header_.height = height;
WImage<T>::SetIpl(&header_);
}
template<typename T>
WImageView<T>::WImageView(T* data, int width, int height, int nchannels, int width_step)
: WImage<T>(0)
{
cvInitImageHeader(&header_, cvSize(width, height), WImage<T>::Depth(), nchannels);
header_.imageData = reinterpret_cast<char*>(data);
if (width_step > 0) {
header_.widthStep = width_step;
}
WImage<T>::SetIpl(&header_);
}
template<typename T, int C>
WImageViewC<T, C>::WImageViewC(WImageC<T, C>* img, int c, int r, int width, int height)
: WImageC<T, C>(0)
{
header_ = *(img->Ipl());
header_.imageData = reinterpret_cast<char*>((*img)(c, r));
header_.width = width;
header_.height = height;
WImageC<T, C>::SetIpl(&header_);
}
template<typename T, int C>
WImageViewC<T, C>::WImageViewC() : WImageC<T, C>(0) {
cvInitImageHeader(&header_, cvSize(0, 0), WImage<T>::Depth(), C);
header_.imageData = reinterpret_cast<char*>(0);
WImageC<T, C>::SetIpl(&header_);
}
template<typename T, int C>
WImageViewC<T, C>::WImageViewC(T* data, int width, int height, int width_step)
: WImageC<T, C>(0)
{
cvInitImageHeader(&header_, cvSize(width, height), WImage<T>::Depth(), C);
header_.imageData = reinterpret_cast<char*>(data);
if (width_step > 0) {
header_.widthStep = width_step;
}
WImageC<T, C>::SetIpl(&header_);
}
// Construct a view into a region of an image
template<typename T>
WImageView<T> WImage<T>::View(int c, int r, int width, int height) {
return WImageView<T>(this, c, r, width, height);
}
template<typename T, int C>
WImageViewC<T, C> WImageC<T, C>::View(int c, int r, int width, int height) {
return WImageViewC<T, C>(this, c, r, width, height);
}
} // end of namespace
#endif // __cplusplus
#endif

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/* For iOS video I/O
* by Eduard Feicho on 29/07/12
* Copyright 2012. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* 2. Redistributions 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.
* 3. The name of the author may not be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR "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 AUTHOR 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.
*
*/
#import <UIKit/UIKit.h>
#import <Accelerate/Accelerate.h>
#import <AVFoundation/AVFoundation.h>
#import <ImageIO/ImageIO.h>
#include "opencv2/core/core.hpp"
/////////////////////////////////////// CvAbstractCamera /////////////////////////////////////
@class CvAbstractCamera;
@interface CvAbstractCamera : NSObject
{
AVCaptureSession* captureSession;
AVCaptureConnection* videoCaptureConnection;
AVCaptureVideoPreviewLayer *captureVideoPreviewLayer;
UIDeviceOrientation currentDeviceOrientation;
BOOL cameraAvailable;
BOOL captureSessionLoaded;
BOOL running;
BOOL useAVCaptureVideoPreviewLayer;
AVCaptureDevicePosition defaultAVCaptureDevicePosition;
AVCaptureVideoOrientation defaultAVCaptureVideoOrientation;
NSString *const defaultAVCaptureSessionPreset;
int defaultFPS;
UIView* parentView;
int imageWidth;
int imageHeight;
}
@property (nonatomic, retain) AVCaptureSession* captureSession;
@property (nonatomic, retain) AVCaptureConnection* videoCaptureConnection;
@property (nonatomic, readonly) BOOL running;
@property (nonatomic, readonly) BOOL captureSessionLoaded;
@property (nonatomic, assign) int defaultFPS;
@property (nonatomic, readonly) AVCaptureVideoPreviewLayer *captureVideoPreviewLayer;
@property (nonatomic, assign) AVCaptureDevicePosition defaultAVCaptureDevicePosition;
@property (nonatomic, assign) AVCaptureVideoOrientation defaultAVCaptureVideoOrientation;
@property (nonatomic, assign) BOOL useAVCaptureVideoPreviewLayer;
@property (nonatomic, strong) NSString *const defaultAVCaptureSessionPreset;
@property (nonatomic, assign) int imageWidth;
@property (nonatomic, assign) int imageHeight;
@property (nonatomic, retain) UIView* parentView;
- (void)start;
- (void)stop;
- (void)switchCameras;
- (id)initWithParentView:(UIView*)parent;
- (void)createCaptureOutput;
- (void)createVideoPreviewLayer;
- (void)updateOrientation;
- (void)lockFocus;
- (void)unlockFocus;
- (void)lockExposure;
- (void)unlockExposure;
- (void)lockBalance;
- (void)unlockBalance;
@end
///////////////////////////////// CvVideoCamera ///////////////////////////////////////////
@class CvVideoCamera;
@protocol CvVideoCameraDelegate <NSObject>
#ifdef __cplusplus
// delegate method for processing image frames
- (void)processImage:(cv::Mat&)image;
#endif
@end
@interface CvVideoCamera : CvAbstractCamera<AVCaptureVideoDataOutputSampleBufferDelegate>
{
AVCaptureVideoDataOutput *videoDataOutput;
dispatch_queue_t videoDataOutputQueue;
CALayer *customPreviewLayer;
BOOL grayscaleMode;
BOOL recordVideo;
BOOL rotateVideo;
AVAssetWriterInput* recordAssetWriterInput;
AVAssetWriterInputPixelBufferAdaptor* recordPixelBufferAdaptor;
AVAssetWriter* recordAssetWriter;
CMTime lastSampleTime;
}
@property (nonatomic, assign) id<CvVideoCameraDelegate> delegate;
@property (nonatomic, assign) BOOL grayscaleMode;
@property (nonatomic, assign) BOOL recordVideo;
@property (nonatomic, assign) BOOL rotateVideo;
@property (nonatomic, retain) AVAssetWriterInput* recordAssetWriterInput;
@property (nonatomic, retain) AVAssetWriterInputPixelBufferAdaptor* recordPixelBufferAdaptor;
@property (nonatomic, retain) AVAssetWriter* recordAssetWriter;
- (void)adjustLayoutToInterfaceOrientation:(UIInterfaceOrientation)interfaceOrientation;
- (void)layoutPreviewLayer;
- (void)saveVideo;
- (NSURL *)videoFileURL;
- (NSString *)videoFileString;
@end
///////////////////////////////// CvPhotoCamera ///////////////////////////////////////////
@class CvPhotoCamera;
@protocol CvPhotoCameraDelegate <NSObject>
- (void)photoCamera:(CvPhotoCamera*)photoCamera capturedImage:(UIImage *)image;
- (void)photoCameraCancel:(CvPhotoCamera*)photoCamera;
@end
@interface CvPhotoCamera : CvAbstractCamera
{
AVCaptureStillImageOutput *stillImageOutput;
}
@property (nonatomic, assign) id<CvPhotoCameraDelegate> delegate;
- (void)takePicture;
@end

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/*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.
// 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*/
#ifndef __OPENCV_HIGHGUI_HPP__
#define __OPENCV_HIGHGUI_HPP__
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui_c.h"
#ifdef __cplusplus
struct CvCapture;
struct CvVideoWriter;
namespace cv
{
enum {
// Flags for namedWindow
WINDOW_NORMAL = CV_WINDOW_NORMAL, // the user can resize the window (no constraint) / also use to switch a fullscreen window to a normal size
WINDOW_AUTOSIZE = CV_WINDOW_AUTOSIZE, // the user cannot resize the window, the size is constrainted by the image displayed
WINDOW_OPENGL = CV_WINDOW_OPENGL, // window with opengl support
// Flags for set / getWindowProperty
WND_PROP_FULLSCREEN = CV_WND_PROP_FULLSCREEN, // fullscreen property
WND_PROP_AUTOSIZE = CV_WND_PROP_AUTOSIZE, // autosize property
WND_PROP_ASPECT_RATIO = CV_WND_PROP_ASPECTRATIO, // window's aspect ration
WND_PROP_OPENGL = CV_WND_PROP_OPENGL // opengl support
};
CV_EXPORTS_W void namedWindow(const string& winname, int flags = WINDOW_AUTOSIZE);
CV_EXPORTS_W void destroyWindow(const string& winname);
CV_EXPORTS_W void destroyAllWindows();
CV_EXPORTS_W int startWindowThread();
CV_EXPORTS_W int waitKey(int delay = 0);
CV_EXPORTS_W void imshow(const string& winname, InputArray mat);
CV_EXPORTS_W void resizeWindow(const string& winname, int width, int height);
CV_EXPORTS_W void moveWindow(const string& winname, int x, int y);
CV_EXPORTS_W void setWindowProperty(const string& winname, int prop_id, double prop_value);//YV
CV_EXPORTS_W double getWindowProperty(const string& winname, int prop_id);//YV
enum
{
EVENT_MOUSEMOVE =0,
EVENT_LBUTTONDOWN =1,
EVENT_RBUTTONDOWN =2,
EVENT_MBUTTONDOWN =3,
EVENT_LBUTTONUP =4,
EVENT_RBUTTONUP =5,
EVENT_MBUTTONUP =6,
EVENT_LBUTTONDBLCLK =7,
EVENT_RBUTTONDBLCLK =8,
EVENT_MBUTTONDBLCLK =9
};
enum
{
EVENT_FLAG_LBUTTON =1,
EVENT_FLAG_RBUTTON =2,
EVENT_FLAG_MBUTTON =4,
EVENT_FLAG_CTRLKEY =8,
EVENT_FLAG_SHIFTKEY =16,
EVENT_FLAG_ALTKEY =32
};
typedef void (*MouseCallback)(int event, int x, int y, int flags, void* userdata);
//! assigns callback for mouse events
CV_EXPORTS void setMouseCallback(const string& winname, MouseCallback onMouse, void* userdata = 0);
typedef void (CV_CDECL *TrackbarCallback)(int pos, void* userdata);
CV_EXPORTS int createTrackbar(const string& trackbarname, const string& winname,
int* value, int count,
TrackbarCallback onChange = 0,
void* userdata = 0);
CV_EXPORTS_W int getTrackbarPos(const string& trackbarname, const string& winname);
CV_EXPORTS_W void setTrackbarPos(const string& trackbarname, const string& winname, int pos);
// OpenGL support
typedef void (*OpenGlDrawCallback)(void* userdata);
CV_EXPORTS void setOpenGlDrawCallback(const string& winname, OpenGlDrawCallback onOpenGlDraw, void* userdata = 0);
CV_EXPORTS void setOpenGlContext(const string& winname);
CV_EXPORTS void updateWindow(const string& winname);
// < Deperecated
CV_EXPORTS void pointCloudShow(const string& winname, const GlCamera& camera, const GlArrays& arr);
CV_EXPORTS void pointCloudShow(const string& winname, const GlCamera& camera, InputArray points, InputArray colors = noArray());
// >
//Only for Qt
CV_EXPORTS CvFont fontQt(const string& nameFont, int pointSize=-1,
Scalar color=Scalar::all(0), int weight=CV_FONT_NORMAL,
int style=CV_STYLE_NORMAL, int spacing=0);
CV_EXPORTS void addText( const Mat& img, const string& text, Point org, CvFont font);
CV_EXPORTS void displayOverlay(const string& winname, const string& text, int delayms CV_DEFAULT(0));
CV_EXPORTS void displayStatusBar(const string& winname, const string& text, int delayms CV_DEFAULT(0));
CV_EXPORTS void saveWindowParameters(const string& windowName);
CV_EXPORTS void loadWindowParameters(const string& windowName);
CV_EXPORTS int startLoop(int (*pt2Func)(int argc, char *argv[]), int argc, char* argv[]);
CV_EXPORTS void stopLoop();
typedef void (CV_CDECL *ButtonCallback)(int state, void* userdata);
CV_EXPORTS int createButton( const string& bar_name, ButtonCallback on_change,
void* userdata=NULL, int type=CV_PUSH_BUTTON,
bool initial_button_state=0);
//-------------------------
enum
{
// 8bit, color or not
IMREAD_UNCHANGED =-1,
// 8bit, gray
IMREAD_GRAYSCALE =0,
// ?, color
IMREAD_COLOR =1,
// any depth, ?
IMREAD_ANYDEPTH =2,
// ?, any color
IMREAD_ANYCOLOR =4
};
enum
{
IMWRITE_JPEG_QUALITY =1,
IMWRITE_PNG_COMPRESSION =16,
IMWRITE_PNG_STRATEGY =17,
IMWRITE_PNG_BILEVEL =18,
IMWRITE_PNG_STRATEGY_DEFAULT =0,
IMWRITE_PNG_STRATEGY_FILTERED =1,
IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY =2,
IMWRITE_PNG_STRATEGY_RLE =3,
IMWRITE_PNG_STRATEGY_FIXED =4,
IMWRITE_PXM_BINARY =32
};
CV_EXPORTS_W Mat imread( const string& filename, int flags=1 );
CV_EXPORTS_W bool imwrite( const string& filename, InputArray img,
const vector<int>& params=vector<int>());
CV_EXPORTS_W Mat imdecode( InputArray buf, int flags );
CV_EXPORTS Mat imdecode( InputArray buf, int flags, Mat* dst );
CV_EXPORTS_W bool imencode( const string& ext, InputArray img,
CV_OUT vector<uchar>& buf,
const vector<int>& params=vector<int>());
#ifndef CV_NO_VIDEO_CAPTURE_CPP_API
template<> void CV_EXPORTS Ptr<CvCapture>::delete_obj();
template<> void CV_EXPORTS Ptr<CvVideoWriter>::delete_obj();
class CV_EXPORTS_W VideoCapture
{
public:
CV_WRAP VideoCapture();
CV_WRAP VideoCapture(const string& filename);
CV_WRAP VideoCapture(int device);
virtual ~VideoCapture();
CV_WRAP virtual bool open(const string& filename);
CV_WRAP virtual bool open(int device);
CV_WRAP virtual bool isOpened() const;
CV_WRAP virtual void release();
CV_WRAP virtual bool grab();
CV_WRAP virtual bool retrieve(CV_OUT Mat& image, int channel=0);
virtual VideoCapture& operator >> (CV_OUT Mat& image);
CV_WRAP virtual bool read(CV_OUT Mat& image);
CV_WRAP virtual bool set(int propId, double value);
CV_WRAP virtual double get(int propId);
protected:
Ptr<CvCapture> cap;
};
class CV_EXPORTS_W VideoWriter
{
public:
CV_WRAP VideoWriter();
CV_WRAP VideoWriter(const string& filename, int fourcc, double fps,
Size frameSize, bool isColor=true);
virtual ~VideoWriter();
CV_WRAP virtual bool open(const string& filename, int fourcc, double fps,
Size frameSize, bool isColor=true);
CV_WRAP virtual bool isOpened() const;
CV_WRAP virtual void release();
virtual VideoWriter& operator << (const Mat& image);
CV_WRAP virtual void write(const Mat& image);
protected:
Ptr<CvVideoWriter> writer;
};
#endif
}
#endif
#endif

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phonelibs/opencv/include/opencv2/highgui/highgui_c.h
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@ -1,660 +0,0 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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*/
#ifndef __OPENCV_HIGHGUI_H__
#define __OPENCV_HIGHGUI_H__
#include "opencv2/core/core_c.h"
#ifdef __cplusplus
extern "C" {
#endif /* __cplusplus */
/****************************************************************************************\
* Basic GUI functions *
\****************************************************************************************/
//YV
//-----------New for Qt
/* For font */
enum { CV_FONT_LIGHT = 25,//QFont::Light,
CV_FONT_NORMAL = 50,//QFont::Normal,
CV_FONT_DEMIBOLD = 63,//QFont::DemiBold,
CV_FONT_BOLD = 75,//QFont::Bold,
CV_FONT_BLACK = 87 //QFont::Black
};
enum { CV_STYLE_NORMAL = 0,//QFont::StyleNormal,
CV_STYLE_ITALIC = 1,//QFont::StyleItalic,
CV_STYLE_OBLIQUE = 2 //QFont::StyleOblique
};
/* ---------*/
//for color cvScalar(blue_component, green_component, red\_component[, alpha_component])
//and alpha= 0 <-> 0xFF (not transparent <-> transparent)
CVAPI(CvFont) cvFontQt(const char* nameFont, int pointSize CV_DEFAULT(-1), CvScalar color CV_DEFAULT(cvScalarAll(0)), int weight CV_DEFAULT(CV_FONT_NORMAL), int style CV_DEFAULT(CV_STYLE_NORMAL), int spacing CV_DEFAULT(0));
CVAPI(void) cvAddText(const CvArr* img, const char* text, CvPoint org, CvFont *arg2);
CVAPI(void) cvDisplayOverlay(const char* name, const char* text, int delayms CV_DEFAULT(0));
CVAPI(void) cvDisplayStatusBar(const char* name, const char* text, int delayms CV_DEFAULT(0));
CVAPI(void) cvSaveWindowParameters(const char* name);
CVAPI(void) cvLoadWindowParameters(const char* name);
CVAPI(int) cvStartLoop(int (*pt2Func)(int argc, char *argv[]), int argc, char* argv[]);
CVAPI(void) cvStopLoop( void );
typedef void (CV_CDECL *CvButtonCallback)(int state, void* userdata);
enum {CV_PUSH_BUTTON = 0, CV_CHECKBOX = 1, CV_RADIOBOX = 2};
CVAPI(int) cvCreateButton( const char* button_name CV_DEFAULT(NULL),CvButtonCallback on_change CV_DEFAULT(NULL), void* userdata CV_DEFAULT(NULL) , int button_type CV_DEFAULT(CV_PUSH_BUTTON), int initial_button_state CV_DEFAULT(0));
//----------------------
/* this function is used to set some external parameters in case of X Window */
CVAPI(int) cvInitSystem( int argc, char** argv );
CVAPI(int) cvStartWindowThread( void );
// --------- YV ---------
enum
{
//These 3 flags are used by cvSet/GetWindowProperty
CV_WND_PROP_FULLSCREEN = 0, //to change/get window's fullscreen property
CV_WND_PROP_AUTOSIZE = 1, //to change/get window's autosize property
CV_WND_PROP_ASPECTRATIO= 2, //to change/get window's aspectratio property
CV_WND_PROP_OPENGL = 3, //to change/get window's opengl support
//These 2 flags are used by cvNamedWindow and cvSet/GetWindowProperty
CV_WINDOW_NORMAL = 0x00000000, //the user can resize the window (no constraint) / also use to switch a fullscreen window to a normal size
CV_WINDOW_AUTOSIZE = 0x00000001, //the user cannot resize the window, the size is constrainted by the image displayed
CV_WINDOW_OPENGL = 0x00001000, //window with opengl support
//Those flags are only for Qt
CV_GUI_EXPANDED = 0x00000000, //status bar and tool bar
CV_GUI_NORMAL = 0x00000010, //old fashious way
//These 3 flags are used by cvNamedWindow and cvSet/GetWindowProperty
CV_WINDOW_FULLSCREEN = 1,//change the window to fullscreen
CV_WINDOW_FREERATIO = 0x00000100,//the image expends as much as it can (no ratio constraint)
CV_WINDOW_KEEPRATIO = 0x00000000//the ration image is respected.
};
/* create window */
CVAPI(int) cvNamedWindow( const char* name, int flags CV_DEFAULT(CV_WINDOW_AUTOSIZE) );
/* Set and Get Property of the window */
CVAPI(void) cvSetWindowProperty(const char* name, int prop_id, double prop_value);
CVAPI(double) cvGetWindowProperty(const char* name, int prop_id);
/* display image within window (highgui windows remember their content) */
CVAPI(void) cvShowImage( const char* name, const CvArr* image );
/* resize/move window */
CVAPI(void) cvResizeWindow( const char* name, int width, int height );
CVAPI(void) cvMoveWindow( const char* name, int x, int y );
/* destroy window and all the trackers associated with it */
CVAPI(void) cvDestroyWindow( const char* name );
CVAPI(void) cvDestroyAllWindows(void);
/* get native window handle (HWND in case of Win32 and Widget in case of X Window) */
CVAPI(void*) cvGetWindowHandle( const char* name );
/* get name of highgui window given its native handle */
CVAPI(const char*) cvGetWindowName( void* window_handle );
typedef void (CV_CDECL *CvTrackbarCallback)(int pos);
/* create trackbar and display it on top of given window, set callback */
CVAPI(int) cvCreateTrackbar( const char* trackbar_name, const char* window_name,
int* value, int count, CvTrackbarCallback on_change CV_DEFAULT(NULL));
typedef void (CV_CDECL *CvTrackbarCallback2)(int pos, void* userdata);
CVAPI(int) cvCreateTrackbar2( const char* trackbar_name, const char* window_name,
int* value, int count, CvTrackbarCallback2 on_change,
void* userdata CV_DEFAULT(0));
/* retrieve or set trackbar position */
CVAPI(int) cvGetTrackbarPos( const char* trackbar_name, const char* window_name );
CVAPI(void) cvSetTrackbarPos( const char* trackbar_name, const char* window_name, int pos );
CVAPI(void) cvSetTrackbarMax(const char* trackbar_name, const char* window_name, int maxval);
enum
{
CV_EVENT_MOUSEMOVE =0,
CV_EVENT_LBUTTONDOWN =1,
CV_EVENT_RBUTTONDOWN =2,
CV_EVENT_MBUTTONDOWN =3,
CV_EVENT_LBUTTONUP =4,
CV_EVENT_RBUTTONUP =5,
CV_EVENT_MBUTTONUP =6,
CV_EVENT_LBUTTONDBLCLK =7,
CV_EVENT_RBUTTONDBLCLK =8,
CV_EVENT_MBUTTONDBLCLK =9
};
enum
{
CV_EVENT_FLAG_LBUTTON =1,
CV_EVENT_FLAG_RBUTTON =2,
CV_EVENT_FLAG_MBUTTON =4,
CV_EVENT_FLAG_CTRLKEY =8,
CV_EVENT_FLAG_SHIFTKEY =16,
CV_EVENT_FLAG_ALTKEY =32
};
typedef void (CV_CDECL *CvMouseCallback )(int event, int x, int y, int flags, void* param);
/* assign callback for mouse events */
CVAPI(void) cvSetMouseCallback( const char* window_name, CvMouseCallback on_mouse,
void* param CV_DEFAULT(NULL));
enum
{
/* 8bit, color or not */
CV_LOAD_IMAGE_UNCHANGED =-1,
/* 8bit, gray */
CV_LOAD_IMAGE_GRAYSCALE =0,
/* ?, color */
CV_LOAD_IMAGE_COLOR =1,
/* any depth, ? */
CV_LOAD_IMAGE_ANYDEPTH =2,
/* ?, any color */
CV_LOAD_IMAGE_ANYCOLOR =4
};
/* load image from file
iscolor can be a combination of above flags where CV_LOAD_IMAGE_UNCHANGED
overrides the other flags
using CV_LOAD_IMAGE_ANYCOLOR alone is equivalent to CV_LOAD_IMAGE_UNCHANGED
unless CV_LOAD_IMAGE_ANYDEPTH is specified images are converted to 8bit
*/
CVAPI(IplImage*) cvLoadImage( const char* filename, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR));
CVAPI(CvMat*) cvLoadImageM( const char* filename, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR));
enum
{
CV_IMWRITE_JPEG_QUALITY =1,
CV_IMWRITE_PNG_COMPRESSION =16,
CV_IMWRITE_PNG_STRATEGY =17,
CV_IMWRITE_PNG_BILEVEL =18,
CV_IMWRITE_PNG_STRATEGY_DEFAULT =0,
CV_IMWRITE_PNG_STRATEGY_FILTERED =1,
CV_IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY =2,
CV_IMWRITE_PNG_STRATEGY_RLE =3,
CV_IMWRITE_PNG_STRATEGY_FIXED =4,
CV_IMWRITE_PXM_BINARY =32
};
/* save image to file */
CVAPI(int) cvSaveImage( const char* filename, const CvArr* image,
const int* params CV_DEFAULT(0) );
/* decode image stored in the buffer */
CVAPI(IplImage*) cvDecodeImage( const CvMat* buf, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR));
CVAPI(CvMat*) cvDecodeImageM( const CvMat* buf, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR));
/* encode image and store the result as a byte vector (single-row 8uC1 matrix) */
CVAPI(CvMat*) cvEncodeImage( const char* ext, const CvArr* image,
const int* params CV_DEFAULT(0) );
enum
{
CV_CVTIMG_FLIP =1,
CV_CVTIMG_SWAP_RB =2
};
/* utility function: convert one image to another with optional vertical flip */
CVAPI(void) cvConvertImage( const CvArr* src, CvArr* dst, int flags CV_DEFAULT(0));
/* wait for key event infinitely (delay<=0) or for "delay" milliseconds */
CVAPI(int) cvWaitKey(int delay CV_DEFAULT(0));
// OpenGL support
typedef void (CV_CDECL *CvOpenGlDrawCallback)(void* userdata);
CVAPI(void) cvSetOpenGlDrawCallback(const char* window_name, CvOpenGlDrawCallback callback, void* userdata CV_DEFAULT(NULL));
CVAPI(void) cvSetOpenGlContext(const char* window_name);
CVAPI(void) cvUpdateWindow(const char* window_name);
/****************************************************************************************\
* Working with Video Files and Cameras *
\****************************************************************************************/
/* "black box" capture structure */
typedef struct CvCapture CvCapture;
/* start capturing frames from video file */
CVAPI(CvCapture*) cvCreateFileCapture( const char* filename );
enum
{
CV_CAP_ANY =0, // autodetect
CV_CAP_MIL =100, // MIL proprietary drivers
CV_CAP_VFW =200, // platform native
CV_CAP_V4L =200,
CV_CAP_V4L2 =200,
CV_CAP_FIREWARE =300, // IEEE 1394 drivers
CV_CAP_FIREWIRE =300,
CV_CAP_IEEE1394 =300,
CV_CAP_DC1394 =300,
CV_CAP_CMU1394 =300,
CV_CAP_STEREO =400, // TYZX proprietary drivers
CV_CAP_TYZX =400,
CV_TYZX_LEFT =400,
CV_TYZX_RIGHT =401,
CV_TYZX_COLOR =402,
CV_TYZX_Z =403,
CV_CAP_QT =500, // QuickTime
CV_CAP_UNICAP =600, // Unicap drivers
CV_CAP_DSHOW =700, // DirectShow (via videoInput)
CV_CAP_MSMF =1400, // Microsoft Media Foundation (via videoInput)
CV_CAP_PVAPI =800, // PvAPI, Prosilica GigE SDK
CV_CAP_OPENNI =900, // OpenNI (for Kinect)
CV_CAP_OPENNI_ASUS =910, // OpenNI (for Asus Xtion)
CV_CAP_ANDROID =1000, // Android
CV_CAP_ANDROID_BACK =CV_CAP_ANDROID+99, // Android back camera
CV_CAP_ANDROID_FRONT =CV_CAP_ANDROID+98, // Android front camera
CV_CAP_XIAPI =1100, // XIMEA Camera API
CV_CAP_AVFOUNDATION = 1200, // AVFoundation framework for iOS (OS X Lion will have the same API)
CV_CAP_GIGANETIX = 1300, // Smartek Giganetix GigEVisionSDK
CV_CAP_INTELPERC = 1500 // Intel Perceptual Computing SDK
};
/* start capturing frames from camera: index = camera_index + domain_offset (CV_CAP_*) */
CVAPI(CvCapture*) cvCreateCameraCapture( int index );
/* grab a frame, return 1 on success, 0 on fail.
this function is thought to be fast */
CVAPI(int) cvGrabFrame( CvCapture* capture );
/* get the frame grabbed with cvGrabFrame(..)
This function may apply some frame processing like
frame decompression, flipping etc.
!!!DO NOT RELEASE or MODIFY the retrieved frame!!! */
CVAPI(IplImage*) cvRetrieveFrame( CvCapture* capture, int streamIdx CV_DEFAULT(0) );
/* Just a combination of cvGrabFrame and cvRetrieveFrame
!!!DO NOT RELEASE or MODIFY the retrieved frame!!! */
CVAPI(IplImage*) cvQueryFrame( CvCapture* capture );
/* stop capturing/reading and free resources */
CVAPI(void) cvReleaseCapture( CvCapture** capture );
enum
{
// modes of the controlling registers (can be: auto, manual, auto single push, absolute Latter allowed with any other mode)
// every feature can have only one mode turned on at a time
CV_CAP_PROP_DC1394_OFF = -4, //turn the feature off (not controlled manually nor automatically)
CV_CAP_PROP_DC1394_MODE_MANUAL = -3, //set automatically when a value of the feature is set by the user
CV_CAP_PROP_DC1394_MODE_AUTO = -2,
CV_CAP_PROP_DC1394_MODE_ONE_PUSH_AUTO = -1,
CV_CAP_PROP_POS_MSEC =0,
CV_CAP_PROP_POS_FRAMES =1,
CV_CAP_PROP_POS_AVI_RATIO =2,
CV_CAP_PROP_FRAME_WIDTH =3,
CV_CAP_PROP_FRAME_HEIGHT =4,
CV_CAP_PROP_FPS =5,
CV_CAP_PROP_FOURCC =6,
CV_CAP_PROP_FRAME_COUNT =7,
CV_CAP_PROP_FORMAT =8,
CV_CAP_PROP_MODE =9,
CV_CAP_PROP_BRIGHTNESS =10,
CV_CAP_PROP_CONTRAST =11,
CV_CAP_PROP_SATURATION =12,
CV_CAP_PROP_HUE =13,
CV_CAP_PROP_GAIN =14,
CV_CAP_PROP_EXPOSURE =15,
CV_CAP_PROP_CONVERT_RGB =16,
CV_CAP_PROP_WHITE_BALANCE_U =17,
CV_CAP_PROP_RECTIFICATION =18,
CV_CAP_PROP_MONOCROME =19,
CV_CAP_PROP_SHARPNESS =20,
CV_CAP_PROP_AUTO_EXPOSURE =21, // exposure control done by camera,
// user can adjust refernce level
// using this feature
CV_CAP_PROP_GAMMA =22,
CV_CAP_PROP_TEMPERATURE =23,
CV_CAP_PROP_TRIGGER =24,
CV_CAP_PROP_TRIGGER_DELAY =25,
CV_CAP_PROP_WHITE_BALANCE_V =26,
CV_CAP_PROP_ZOOM =27,
CV_CAP_PROP_FOCUS =28,
CV_CAP_PROP_GUID =29,
CV_CAP_PROP_ISO_SPEED =30,
CV_CAP_PROP_MAX_DC1394 =31,
CV_CAP_PROP_BACKLIGHT =32,
CV_CAP_PROP_PAN =33,
CV_CAP_PROP_TILT =34,
CV_CAP_PROP_ROLL =35,
CV_CAP_PROP_IRIS =36,
CV_CAP_PROP_SETTINGS =37,
CV_CAP_PROP_BUFFERSIZE =38,
CV_CAP_PROP_AUTOGRAB =1024, // property for highgui class CvCapture_Android only
CV_CAP_PROP_SUPPORTED_PREVIEW_SIZES_STRING=1025, // readonly, tricky property, returns cpnst char* indeed
CV_CAP_PROP_PREVIEW_FORMAT=1026, // readonly, tricky property, returns cpnst char* indeed
// OpenNI map generators
CV_CAP_OPENNI_DEPTH_GENERATOR = 1 << 31,
CV_CAP_OPENNI_IMAGE_GENERATOR = 1 << 30,
CV_CAP_OPENNI_GENERATORS_MASK = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_OPENNI_IMAGE_GENERATOR,
// Properties of cameras available through OpenNI interfaces
CV_CAP_PROP_OPENNI_OUTPUT_MODE = 100,
CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH = 101, // in mm
CV_CAP_PROP_OPENNI_BASELINE = 102, // in mm
CV_CAP_PROP_OPENNI_FOCAL_LENGTH = 103, // in pixels
CV_CAP_PROP_OPENNI_REGISTRATION = 104, // flag
CV_CAP_PROP_OPENNI_REGISTRATION_ON = CV_CAP_PROP_OPENNI_REGISTRATION, // flag that synchronizes the remapping depth map to image map
// by changing depth generator's view point (if the flag is "on") or
// sets this view point to its normal one (if the flag is "off").
CV_CAP_PROP_OPENNI_APPROX_FRAME_SYNC = 105,
CV_CAP_PROP_OPENNI_MAX_BUFFER_SIZE = 106,
CV_CAP_PROP_OPENNI_CIRCLE_BUFFER = 107,
CV_CAP_PROP_OPENNI_MAX_TIME_DURATION = 108,
CV_CAP_PROP_OPENNI_GENERATOR_PRESENT = 109,
CV_CAP_OPENNI_IMAGE_GENERATOR_PRESENT = CV_CAP_OPENNI_IMAGE_GENERATOR + CV_CAP_PROP_OPENNI_GENERATOR_PRESENT,
CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE = CV_CAP_OPENNI_IMAGE_GENERATOR + CV_CAP_PROP_OPENNI_OUTPUT_MODE,
CV_CAP_OPENNI_DEPTH_GENERATOR_BASELINE = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_BASELINE,
CV_CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_FOCAL_LENGTH,
CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_REGISTRATION,
CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION_ON = CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION,
// Properties of cameras available through GStreamer interface
CV_CAP_GSTREAMER_QUEUE_LENGTH = 200, // default is 1
// PVAPI
CV_CAP_PROP_PVAPI_MULTICASTIP = 300, // ip for anable multicast master mode. 0 for disable multicast
CV_CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE = 301, // FrameStartTriggerMode: Determines how a frame is initiated
CV_CAP_PROP_PVAPI_DECIMATIONHORIZONTAL = 302, // Horizontal sub-sampling of the image
CV_CAP_PROP_PVAPI_DECIMATIONVERTICAL = 303, // Vertical sub-sampling of the image
CV_CAP_PROP_PVAPI_BINNINGX = 304, // Horizontal binning factor
CV_CAP_PROP_PVAPI_BINNINGY = 305, // Vertical binning factor
CV_CAP_PROP_PVAPI_PIXELFORMAT = 306, // Pixel format
// Properties of cameras available through XIMEA SDK interface
CV_CAP_PROP_XI_DOWNSAMPLING = 400, // Change image resolution by binning or skipping.
CV_CAP_PROP_XI_DATA_FORMAT = 401, // Output data format.
CV_CAP_PROP_XI_OFFSET_X = 402, // Horizontal offset from the origin to the area of interest (in pixels).
CV_CAP_PROP_XI_OFFSET_Y = 403, // Vertical offset from the origin to the area of interest (in pixels).
CV_CAP_PROP_XI_TRG_SOURCE = 404, // Defines source of trigger.
CV_CAP_PROP_XI_TRG_SOFTWARE = 405, // Generates an internal trigger. PRM_TRG_SOURCE must be set to TRG_SOFTWARE.
CV_CAP_PROP_XI_GPI_SELECTOR = 406, // Selects general purpose input
CV_CAP_PROP_XI_GPI_MODE = 407, // Set general purpose input mode
CV_CAP_PROP_XI_GPI_LEVEL = 408, // Get general purpose level
CV_CAP_PROP_XI_GPO_SELECTOR = 409, // Selects general purpose output
CV_CAP_PROP_XI_GPO_MODE = 410, // Set general purpose output mode
CV_CAP_PROP_XI_LED_SELECTOR = 411, // Selects camera signalling LED
CV_CAP_PROP_XI_LED_MODE = 412, // Define camera signalling LED functionality
CV_CAP_PROP_XI_MANUAL_WB = 413, // Calculates White Balance(must be called during acquisition)
CV_CAP_PROP_XI_AUTO_WB = 414, // Automatic white balance
CV_CAP_PROP_XI_AEAG = 415, // Automatic exposure/gain
CV_CAP_PROP_XI_EXP_PRIORITY = 416, // Exposure priority (0.5 - exposure 50%, gain 50%).
CV_CAP_PROP_XI_AE_MAX_LIMIT = 417, // Maximum limit of exposure in AEAG procedure
CV_CAP_PROP_XI_AG_MAX_LIMIT = 418, // Maximum limit of gain in AEAG procedure
CV_CAP_PROP_XI_AEAG_LEVEL = 419, // Average intensity of output signal AEAG should achieve(in %)
CV_CAP_PROP_XI_TIMEOUT = 420, // Image capture timeout in milliseconds
// Properties for Android cameras
CV_CAP_PROP_ANDROID_FLASH_MODE = 8001,
CV_CAP_PROP_ANDROID_FOCUS_MODE = 8002,
CV_CAP_PROP_ANDROID_WHITE_BALANCE = 8003,
CV_CAP_PROP_ANDROID_ANTIBANDING = 8004,
CV_CAP_PROP_ANDROID_FOCAL_LENGTH = 8005,
CV_CAP_PROP_ANDROID_FOCUS_DISTANCE_NEAR = 8006,
CV_CAP_PROP_ANDROID_FOCUS_DISTANCE_OPTIMAL = 8007,
CV_CAP_PROP_ANDROID_FOCUS_DISTANCE_FAR = 8008,
CV_CAP_PROP_ANDROID_EXPOSE_LOCK = 8009,
CV_CAP_PROP_ANDROID_WHITEBALANCE_LOCK = 8010,
// Properties of cameras available through AVFOUNDATION interface
CV_CAP_PROP_IOS_DEVICE_FOCUS = 9001,
CV_CAP_PROP_IOS_DEVICE_EXPOSURE = 9002,
CV_CAP_PROP_IOS_DEVICE_FLASH = 9003,
CV_CAP_PROP_IOS_DEVICE_WHITEBALANCE = 9004,
CV_CAP_PROP_IOS_DEVICE_TORCH = 9005,
// Properties of cameras available through Smartek Giganetix Ethernet Vision interface
/* --- Vladimir Litvinenko (litvinenko.vladimir@gmail.com) --- */
CV_CAP_PROP_GIGA_FRAME_OFFSET_X = 10001,
CV_CAP_PROP_GIGA_FRAME_OFFSET_Y = 10002,
CV_CAP_PROP_GIGA_FRAME_WIDTH_MAX = 10003,
CV_CAP_PROP_GIGA_FRAME_HEIGH_MAX = 10004,
CV_CAP_PROP_GIGA_FRAME_SENS_WIDTH = 10005,
CV_CAP_PROP_GIGA_FRAME_SENS_HEIGH = 10006,
CV_CAP_PROP_INTELPERC_PROFILE_COUNT = 11001,
CV_CAP_PROP_INTELPERC_PROFILE_IDX = 11002,
CV_CAP_PROP_INTELPERC_DEPTH_LOW_CONFIDENCE_VALUE = 11003,
CV_CAP_PROP_INTELPERC_DEPTH_SATURATION_VALUE = 11004,
CV_CAP_PROP_INTELPERC_DEPTH_CONFIDENCE_THRESHOLD = 11005,
CV_CAP_PROP_INTELPERC_DEPTH_FOCAL_LENGTH_HORZ = 11006,
CV_CAP_PROP_INTELPERC_DEPTH_FOCAL_LENGTH_VERT = 11007,
// Intel PerC streams
CV_CAP_INTELPERC_DEPTH_GENERATOR = 1 << 29,
CV_CAP_INTELPERC_IMAGE_GENERATOR = 1 << 28,
CV_CAP_INTELPERC_GENERATORS_MASK = CV_CAP_INTELPERC_DEPTH_GENERATOR + CV_CAP_INTELPERC_IMAGE_GENERATOR
};
enum
{
// Data given from depth generator.
CV_CAP_OPENNI_DEPTH_MAP = 0, // Depth values in mm (CV_16UC1)
CV_CAP_OPENNI_POINT_CLOUD_MAP = 1, // XYZ in meters (CV_32FC3)
CV_CAP_OPENNI_DISPARITY_MAP = 2, // Disparity in pixels (CV_8UC1)
CV_CAP_OPENNI_DISPARITY_MAP_32F = 3, // Disparity in pixels (CV_32FC1)
CV_CAP_OPENNI_VALID_DEPTH_MASK = 4, // CV_8UC1
// Data given from RGB image generator.
CV_CAP_OPENNI_BGR_IMAGE = 5,
CV_CAP_OPENNI_GRAY_IMAGE = 6
};
// Supported output modes of OpenNI image generator
enum
{
CV_CAP_OPENNI_VGA_30HZ = 0,
CV_CAP_OPENNI_SXGA_15HZ = 1,
CV_CAP_OPENNI_SXGA_30HZ = 2,
CV_CAP_OPENNI_QVGA_30HZ = 3,
CV_CAP_OPENNI_QVGA_60HZ = 4
};
//supported by Android camera output formats
enum
{
CV_CAP_ANDROID_COLOR_FRAME_BGR = 0, //BGR
CV_CAP_ANDROID_COLOR_FRAME = CV_CAP_ANDROID_COLOR_FRAME_BGR,
CV_CAP_ANDROID_GREY_FRAME = 1, //Y
CV_CAP_ANDROID_COLOR_FRAME_RGB = 2,
CV_CAP_ANDROID_COLOR_FRAME_BGRA = 3,
CV_CAP_ANDROID_COLOR_FRAME_RGBA = 4
};
// supported Android camera flash modes
enum
{
CV_CAP_ANDROID_FLASH_MODE_AUTO = 0,
CV_CAP_ANDROID_FLASH_MODE_OFF,
CV_CAP_ANDROID_FLASH_MODE_ON,
CV_CAP_ANDROID_FLASH_MODE_RED_EYE,
CV_CAP_ANDROID_FLASH_MODE_TORCH
};
// supported Android camera focus modes
enum
{
CV_CAP_ANDROID_FOCUS_MODE_AUTO = 0,
CV_CAP_ANDROID_FOCUS_MODE_CONTINUOUS_PICTURE,
CV_CAP_ANDROID_FOCUS_MODE_CONTINUOUS_VIDEO,
CV_CAP_ANDROID_FOCUS_MODE_EDOF,
CV_CAP_ANDROID_FOCUS_MODE_FIXED,
CV_CAP_ANDROID_FOCUS_MODE_INFINITY,
CV_CAP_ANDROID_FOCUS_MODE_MACRO
};
// supported Android camera white balance modes
enum
{
CV_CAP_ANDROID_WHITE_BALANCE_AUTO = 0,
CV_CAP_ANDROID_WHITE_BALANCE_CLOUDY_DAYLIGHT,
CV_CAP_ANDROID_WHITE_BALANCE_DAYLIGHT,
CV_CAP_ANDROID_WHITE_BALANCE_FLUORESCENT,
CV_CAP_ANDROID_WHITE_BALANCE_INCANDESCENT,
CV_CAP_ANDROID_WHITE_BALANCE_SHADE,
CV_CAP_ANDROID_WHITE_BALANCE_TWILIGHT,
CV_CAP_ANDROID_WHITE_BALANCE_WARM_FLUORESCENT
};
// supported Android camera antibanding modes
enum
{
CV_CAP_ANDROID_ANTIBANDING_50HZ = 0,
CV_CAP_ANDROID_ANTIBANDING_60HZ,
CV_CAP_ANDROID_ANTIBANDING_AUTO,
CV_CAP_ANDROID_ANTIBANDING_OFF
};
enum
{
CV_CAP_INTELPERC_DEPTH_MAP = 0, // Each pixel is a 16-bit integer. The value indicates the distance from an object to the camera's XY plane or the Cartesian depth.
CV_CAP_INTELPERC_UVDEPTH_MAP = 1, // Each pixel contains two 32-bit floating point values in the range of 0-1, representing the mapping of depth coordinates to the color coordinates.
CV_CAP_INTELPERC_IR_MAP = 2, // Each pixel is a 16-bit integer. The value indicates the intensity of the reflected laser beam.
CV_CAP_INTELPERC_IMAGE = 3
};
/* retrieve or set capture properties */
CVAPI(double) cvGetCaptureProperty( CvCapture* capture, int property_id );
CVAPI(int) cvSetCaptureProperty( CvCapture* capture, int property_id, double value );
// Return the type of the capturer (eg, CV_CAP_V4W, CV_CAP_UNICAP), which is unknown if created with CV_CAP_ANY
CVAPI(int) cvGetCaptureDomain( CvCapture* capture);
/* "black box" video file writer structure */
typedef struct CvVideoWriter CvVideoWriter;
#define CV_FOURCC_MACRO(c1, c2, c3, c4) (((c1) & 255) + (((c2) & 255) << 8) + (((c3) & 255) << 16) + (((c4) & 255) << 24))
CV_INLINE int CV_FOURCC(char c1, char c2, char c3, char c4)
{
return CV_FOURCC_MACRO(c1, c2, c3, c4);
}
#define CV_FOURCC_PROMPT -1 /* Open Codec Selection Dialog (Windows only) */
#define CV_FOURCC_DEFAULT CV_FOURCC('I', 'Y', 'U', 'V') /* Use default codec for specified filename (Linux only) */
/* initialize video file writer */
CVAPI(CvVideoWriter*) cvCreateVideoWriter( const char* filename, int fourcc,
double fps, CvSize frame_size,
int is_color CV_DEFAULT(1));
//CVAPI(CvVideoWriter*) cvCreateImageSequenceWriter( const char* filename,
// int is_color CV_DEFAULT(1));
/* write frame to video file */
CVAPI(int) cvWriteFrame( CvVideoWriter* writer, const IplImage* image );
/* close video file writer */
CVAPI(void) cvReleaseVideoWriter( CvVideoWriter** writer );
/****************************************************************************************\
* Obsolete functions/synonyms *
\****************************************************************************************/
#define cvCaptureFromFile cvCreateFileCapture
#define cvCaptureFromCAM cvCreateCameraCapture
#define cvCaptureFromAVI cvCaptureFromFile
#define cvCreateAVIWriter cvCreateVideoWriter
#define cvWriteToAVI cvWriteFrame
#define cvAddSearchPath(path)
#define cvvInitSystem cvInitSystem
#define cvvNamedWindow cvNamedWindow
#define cvvShowImage cvShowImage
#define cvvResizeWindow cvResizeWindow
#define cvvDestroyWindow cvDestroyWindow
#define cvvCreateTrackbar cvCreateTrackbar
#define cvvLoadImage(name) cvLoadImage((name),1)
#define cvvSaveImage cvSaveImage
#define cvvAddSearchPath cvAddSearchPath
#define cvvWaitKey(name) cvWaitKey(0)
#define cvvWaitKeyEx(name,delay) cvWaitKey(delay)
#define cvvConvertImage cvConvertImage
#define HG_AUTOSIZE CV_WINDOW_AUTOSIZE
#define set_preprocess_func cvSetPreprocessFuncWin32
#define set_postprocess_func cvSetPostprocessFuncWin32
#if defined WIN32 || defined _WIN32
CVAPI(void) cvSetPreprocessFuncWin32_(const void* callback);
CVAPI(void) cvSetPostprocessFuncWin32_(const void* callback);
#define cvSetPreprocessFuncWin32(callback) cvSetPreprocessFuncWin32_((const void*)(callback))
#define cvSetPostprocessFuncWin32(callback) cvSetPostprocessFuncWin32_((const void*)(callback))
#endif
#ifdef __cplusplus
}
#endif
#endif

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/*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.
// 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*/
#include "opencv2/core/core.hpp"
#import "opencv2/highgui/cap_ios.h"
UIImage* MatToUIImage(const cv::Mat& image);
void UIImageToMat(const UIImage* image,
cv::Mat& m, bool alphaExist = false);

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/*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.
// 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*/
#ifndef __OPENCV_IMGPROC_IMGPROC_C_H__
#define __OPENCV_IMGPROC_IMGPROC_C_H__
#include "opencv2/core/core_c.h"
#include "opencv2/imgproc/types_c.h"
#ifdef __cplusplus
extern "C" {
#endif
/*********************** Background statistics accumulation *****************************/
/* Adds image to accumulator */
CVAPI(void) cvAcc( const CvArr* image, CvArr* sum,
const CvArr* mask CV_DEFAULT(NULL) );
/* Adds squared image to accumulator */
CVAPI(void) cvSquareAcc( const CvArr* image, CvArr* sqsum,
const CvArr* mask CV_DEFAULT(NULL) );
/* Adds a product of two images to accumulator */
CVAPI(void) cvMultiplyAcc( const CvArr* image1, const CvArr* image2, CvArr* acc,
const CvArr* mask CV_DEFAULT(NULL) );
/* Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha */
CVAPI(void) cvRunningAvg( const CvArr* image, CvArr* acc, double alpha,
const CvArr* mask CV_DEFAULT(NULL) );
/****************************************************************************************\
* Image Processing *
\****************************************************************************************/
/* Copies source 2D array inside of the larger destination array and
makes a border of the specified type (IPL_BORDER_*) around the copied area. */
CVAPI(void) cvCopyMakeBorder( const CvArr* src, CvArr* dst, CvPoint offset,
int bordertype, CvScalar value CV_DEFAULT(cvScalarAll(0)));
/* Smoothes array (removes noise) */
CVAPI(void) cvSmooth( const CvArr* src, CvArr* dst,
int smoothtype CV_DEFAULT(CV_GAUSSIAN),
int size1 CV_DEFAULT(3),
int size2 CV_DEFAULT(0),
double sigma1 CV_DEFAULT(0),
double sigma2 CV_DEFAULT(0));
/* Convolves the image with the kernel */
CVAPI(void) cvFilter2D( const CvArr* src, CvArr* dst, const CvMat* kernel,
CvPoint anchor CV_DEFAULT(cvPoint(-1,-1)));
/* Finds integral image: SUM(X,Y) = sum(x<X,y<Y)I(x,y) */
CVAPI(void) cvIntegral( const CvArr* image, CvArr* sum,
CvArr* sqsum CV_DEFAULT(NULL),
CvArr* tilted_sum CV_DEFAULT(NULL));
/*
Smoothes the input image with gaussian kernel and then down-samples it.
dst_width = floor(src_width/2)[+1],
dst_height = floor(src_height/2)[+1]
*/
CVAPI(void) cvPyrDown( const CvArr* src, CvArr* dst,
int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
/*
Up-samples image and smoothes the result with gaussian kernel.
dst_width = src_width*2,
dst_height = src_height*2
*/
CVAPI(void) cvPyrUp( const CvArr* src, CvArr* dst,
int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
/* Builds pyramid for an image */
CVAPI(CvMat**) cvCreatePyramid( const CvArr* img, int extra_layers, double rate,
const CvSize* layer_sizes CV_DEFAULT(0),
CvArr* bufarr CV_DEFAULT(0),
int calc CV_DEFAULT(1),
int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
/* Releases pyramid */
CVAPI(void) cvReleasePyramid( CvMat*** pyramid, int extra_layers );
/* Filters image using meanshift algorithm */
CVAPI(void) cvPyrMeanShiftFiltering( const CvArr* src, CvArr* dst,
double sp, double sr, int max_level CV_DEFAULT(1),
CvTermCriteria termcrit CV_DEFAULT(cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,5,1)));
/* Segments image using seed "markers" */
CVAPI(void) cvWatershed( const CvArr* image, CvArr* markers );
/* Calculates an image derivative using generalized Sobel
(aperture_size = 1,3,5,7) or Scharr (aperture_size = -1) operator.
Scharr can be used only for the first dx or dy derivative */
CVAPI(void) cvSobel( const CvArr* src, CvArr* dst,
int xorder, int yorder,
int aperture_size CV_DEFAULT(3));
/* Calculates the image Laplacian: (d2/dx + d2/dy)I */
CVAPI(void) cvLaplace( const CvArr* src, CvArr* dst,
int aperture_size CV_DEFAULT(3) );
/* Converts input array pixels from one color space to another */
CVAPI(void) cvCvtColor( const CvArr* src, CvArr* dst, int code );
/* Resizes image (input array is resized to fit the destination array) */
CVAPI(void) cvResize( const CvArr* src, CvArr* dst,
int interpolation CV_DEFAULT( CV_INTER_LINEAR ));
/* Warps image with affine transform */
CVAPI(void) cvWarpAffine( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
/* Computes affine transform matrix for mapping src[i] to dst[i] (i=0,1,2) */
CVAPI(CvMat*) cvGetAffineTransform( const CvPoint2D32f * src,
const CvPoint2D32f * dst,
CvMat * map_matrix );
/* Computes rotation_matrix matrix */
CVAPI(CvMat*) cv2DRotationMatrix( CvPoint2D32f center, double angle,
double scale, CvMat* map_matrix );
/* Warps image with perspective (projective) transform */
CVAPI(void) cvWarpPerspective( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
/* Computes perspective transform matrix for mapping src[i] to dst[i] (i=0,1,2,3) */
CVAPI(CvMat*) cvGetPerspectiveTransform( const CvPoint2D32f* src,
const CvPoint2D32f* dst,
CvMat* map_matrix );
/* Performs generic geometric transformation using the specified coordinate maps */
CVAPI(void) cvRemap( const CvArr* src, CvArr* dst,
const CvArr* mapx, const CvArr* mapy,
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
/* Converts mapx & mapy from floating-point to integer formats for cvRemap */
CVAPI(void) cvConvertMaps( const CvArr* mapx, const CvArr* mapy,
CvArr* mapxy, CvArr* mapalpha );
/* Performs forward or inverse log-polar image transform */
CVAPI(void) cvLogPolar( const CvArr* src, CvArr* dst,
CvPoint2D32f center, double M,
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
/* Performs forward or inverse linear-polar image transform */
CVAPI(void) cvLinearPolar( const CvArr* src, CvArr* dst,
CvPoint2D32f center, double maxRadius,
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
/* Transforms the input image to compensate lens distortion */
CVAPI(void) cvUndistort2( const CvArr* src, CvArr* dst,
const CvMat* camera_matrix,
const CvMat* distortion_coeffs,
const CvMat* new_camera_matrix CV_DEFAULT(0) );
/* Computes transformation map from intrinsic camera parameters
that can used by cvRemap */
CVAPI(void) cvInitUndistortMap( const CvMat* camera_matrix,
const CvMat* distortion_coeffs,
CvArr* mapx, CvArr* mapy );
/* Computes undistortion+rectification map for a head of stereo camera */
CVAPI(void) cvInitUndistortRectifyMap( const CvMat* camera_matrix,
const CvMat* dist_coeffs,
const CvMat *R, const CvMat* new_camera_matrix,
CvArr* mapx, CvArr* mapy );
/* Computes the original (undistorted) feature coordinates
from the observed (distorted) coordinates */
CVAPI(void) cvUndistortPoints( const CvMat* src, CvMat* dst,
const CvMat* camera_matrix,
const CvMat* dist_coeffs,
const CvMat* R CV_DEFAULT(0),
const CvMat* P CV_DEFAULT(0));
/* creates structuring element used for morphological operations */
CVAPI(IplConvKernel*) cvCreateStructuringElementEx(
int cols, int rows, int anchor_x, int anchor_y,
int shape, int* values CV_DEFAULT(NULL) );
/* releases structuring element */
CVAPI(void) cvReleaseStructuringElement( IplConvKernel** element );
/* erodes input image (applies minimum filter) one or more times.
If element pointer is NULL, 3x3 rectangular element is used */
CVAPI(void) cvErode( const CvArr* src, CvArr* dst,
IplConvKernel* element CV_DEFAULT(NULL),
int iterations CV_DEFAULT(1) );
/* dilates input image (applies maximum filter) one or more times.
If element pointer is NULL, 3x3 rectangular element is used */
CVAPI(void) cvDilate( const CvArr* src, CvArr* dst,
IplConvKernel* element CV_DEFAULT(NULL),
int iterations CV_DEFAULT(1) );
/* Performs complex morphological transformation */
CVAPI(void) cvMorphologyEx( const CvArr* src, CvArr* dst,
CvArr* temp, IplConvKernel* element,
int operation, int iterations CV_DEFAULT(1) );
/* Calculates all spatial and central moments up to the 3rd order */
CVAPI(void) cvMoments( const CvArr* arr, CvMoments* moments, int binary CV_DEFAULT(0));
/* Retrieve particular spatial, central or normalized central moments */
CVAPI(double) cvGetSpatialMoment( CvMoments* moments, int x_order, int y_order );
CVAPI(double) cvGetCentralMoment( CvMoments* moments, int x_order, int y_order );
CVAPI(double) cvGetNormalizedCentralMoment( CvMoments* moments,
int x_order, int y_order );
/* Calculates 7 Hu's invariants from precalculated spatial and central moments */
CVAPI(void) cvGetHuMoments( CvMoments* moments, CvHuMoments* hu_moments );
/*********************************** data sampling **************************************/
/* Fetches pixels that belong to the specified line segment and stores them to the buffer.
Returns the number of retrieved points. */
CVAPI(int) cvSampleLine( const CvArr* image, CvPoint pt1, CvPoint pt2, void* buffer,
int connectivity CV_DEFAULT(8));
/* Retrieves the rectangular image region with specified center from the input array.
dst(x,y) <- src(x + center.x - dst_width/2, y + center.y - dst_height/2).
Values of pixels with fractional coordinates are retrieved using bilinear interpolation*/
CVAPI(void) cvGetRectSubPix( const CvArr* src, CvArr* dst, CvPoint2D32f center );
/* Retrieves quadrangle from the input array.
matrixarr = ( a11 a12 | b1 ) dst(x,y) <- src(A[x y]' + b)
( a21 a22 | b2 ) (bilinear interpolation is used to retrieve pixels
with fractional coordinates)
*/
CVAPI(void) cvGetQuadrangleSubPix( const CvArr* src, CvArr* dst,
const CvMat* map_matrix );
/* Measures similarity between template and overlapped windows in the source image
and fills the resultant image with the measurements */
CVAPI(void) cvMatchTemplate( const CvArr* image, const CvArr* templ,
CvArr* result, int method );
/* Computes earth mover distance between
two weighted point sets (called signatures) */
CVAPI(float) cvCalcEMD2( const CvArr* signature1,
const CvArr* signature2,
int distance_type,
CvDistanceFunction distance_func CV_DEFAULT(NULL),
const CvArr* cost_matrix CV_DEFAULT(NULL),
CvArr* flow CV_DEFAULT(NULL),
float* lower_bound CV_DEFAULT(NULL),
void* userdata CV_DEFAULT(NULL));
/****************************************************************************************\
* Contours retrieving *
\****************************************************************************************/
/* Retrieves outer and optionally inner boundaries of white (non-zero) connected
components in the black (zero) background */
CVAPI(int) cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** first_contour,
int header_size CV_DEFAULT(sizeof(CvContour)),
int mode CV_DEFAULT(CV_RETR_LIST),
int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
CvPoint offset CV_DEFAULT(cvPoint(0,0)));
/* Initializes contour retrieving process.
Calls cvStartFindContours.
Calls cvFindNextContour until null pointer is returned
or some other condition becomes true.
Calls cvEndFindContours at the end. */
CVAPI(CvContourScanner) cvStartFindContours( CvArr* image, CvMemStorage* storage,
int header_size CV_DEFAULT(sizeof(CvContour)),
int mode CV_DEFAULT(CV_RETR_LIST),
int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
CvPoint offset CV_DEFAULT(cvPoint(0,0)));
/* Retrieves next contour */
CVAPI(CvSeq*) cvFindNextContour( CvContourScanner scanner );
/* Substitutes the last retrieved contour with the new one
(if the substitutor is null, the last retrieved contour is removed from the tree) */
CVAPI(void) cvSubstituteContour( CvContourScanner scanner, CvSeq* new_contour );
/* Releases contour scanner and returns pointer to the first outer contour */
CVAPI(CvSeq*) cvEndFindContours( CvContourScanner* scanner );
/* Approximates a single Freeman chain or a tree of chains to polygonal curves */
CVAPI(CvSeq*) cvApproxChains( CvSeq* src_seq, CvMemStorage* storage,
int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
double parameter CV_DEFAULT(0),
int minimal_perimeter CV_DEFAULT(0),
int recursive CV_DEFAULT(0));
/* Initializes Freeman chain reader.
The reader is used to iteratively get coordinates of all the chain points.
If the Freeman codes should be read as is, a simple sequence reader should be used */
CVAPI(void) cvStartReadChainPoints( CvChain* chain, CvChainPtReader* reader );
/* Retrieves the next chain point */
CVAPI(CvPoint) cvReadChainPoint( CvChainPtReader* reader );
/****************************************************************************************\
* Contour Processing and Shape Analysis *
\****************************************************************************************/
/* Approximates a single polygonal curve (contour) or
a tree of polygonal curves (contours) */
CVAPI(CvSeq*) cvApproxPoly( const void* src_seq,
int header_size, CvMemStorage* storage,
int method, double eps,
int recursive CV_DEFAULT(0));
/* Calculates perimeter of a contour or length of a part of contour */
CVAPI(double) cvArcLength( const void* curve,
CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
int is_closed CV_DEFAULT(-1));
CV_INLINE double cvContourPerimeter( const void* contour )
{
return cvArcLength( contour, CV_WHOLE_SEQ, 1 );
}
/* Calculates contour bounding rectangle (update=1) or
just retrieves pre-calculated rectangle (update=0) */
CVAPI(CvRect) cvBoundingRect( CvArr* points, int update CV_DEFAULT(0) );
/* Calculates area of a contour or contour segment */
CVAPI(double) cvContourArea( const CvArr* contour,
CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
int oriented CV_DEFAULT(0));
/* Finds minimum area rotated rectangle bounding a set of points */
CVAPI(CvBox2D) cvMinAreaRect2( const CvArr* points,
CvMemStorage* storage CV_DEFAULT(NULL));
/* Finds minimum enclosing circle for a set of points */
CVAPI(int) cvMinEnclosingCircle( const CvArr* points,
CvPoint2D32f* center, float* radius );
/* Compares two contours by matching their moments */
CVAPI(double) cvMatchShapes( const void* object1, const void* object2,
int method, double parameter CV_DEFAULT(0));
/* Calculates exact convex hull of 2d point set */
CVAPI(CvSeq*) cvConvexHull2( const CvArr* input,
void* hull_storage CV_DEFAULT(NULL),
int orientation CV_DEFAULT(CV_CLOCKWISE),
int return_points CV_DEFAULT(0));
/* Checks whether the contour is convex or not (returns 1 if convex, 0 if not) */
CVAPI(int) cvCheckContourConvexity( const CvArr* contour );
/* Finds convexity defects for the contour */
CVAPI(CvSeq*) cvConvexityDefects( const CvArr* contour, const CvArr* convexhull,
CvMemStorage* storage CV_DEFAULT(NULL));
/* Fits ellipse into a set of 2d points */
CVAPI(CvBox2D) cvFitEllipse2( const CvArr* points );
/* Finds minimum rectangle containing two given rectangles */
CVAPI(CvRect) cvMaxRect( const CvRect* rect1, const CvRect* rect2 );
/* Finds coordinates of the box vertices */
CVAPI(void) cvBoxPoints( CvBox2D box, CvPoint2D32f pt[4] );
/* Initializes sequence header for a matrix (column or row vector) of points -
a wrapper for cvMakeSeqHeaderForArray (it does not initialize bounding rectangle!!!) */
CVAPI(CvSeq*) cvPointSeqFromMat( int seq_kind, const CvArr* mat,
CvContour* contour_header,
CvSeqBlock* block );
/* Checks whether the point is inside polygon, outside, on an edge (at a vertex).
Returns positive, negative or zero value, correspondingly.
Optionally, measures a signed distance between
the point and the nearest polygon edge (measure_dist=1) */
CVAPI(double) cvPointPolygonTest( const CvArr* contour,
CvPoint2D32f pt, int measure_dist );
/****************************************************************************************\
* Histogram functions *
\****************************************************************************************/
/* Creates new histogram */
CVAPI(CvHistogram*) cvCreateHist( int dims, int* sizes, int type,
float** ranges CV_DEFAULT(NULL),
int uniform CV_DEFAULT(1));
/* Assignes histogram bin ranges */
CVAPI(void) cvSetHistBinRanges( CvHistogram* hist, float** ranges,
int uniform CV_DEFAULT(1));
/* Creates histogram header for array */
CVAPI(CvHistogram*) cvMakeHistHeaderForArray(
int dims, int* sizes, CvHistogram* hist,
float* data, float** ranges CV_DEFAULT(NULL),
int uniform CV_DEFAULT(1));
/* Releases histogram */
CVAPI(void) cvReleaseHist( CvHistogram** hist );
/* Clears all the histogram bins */
CVAPI(void) cvClearHist( CvHistogram* hist );
/* Finds indices and values of minimum and maximum histogram bins */
CVAPI(void) cvGetMinMaxHistValue( const CvHistogram* hist,
float* min_value, float* max_value,
int* min_idx CV_DEFAULT(NULL),
int* max_idx CV_DEFAULT(NULL));
/* Normalizes histogram by dividing all bins by sum of the bins, multiplied by <factor>.
After that sum of histogram bins is equal to <factor> */
CVAPI(void) cvNormalizeHist( CvHistogram* hist, double factor );
/* Clear all histogram bins that are below the threshold */
CVAPI(void) cvThreshHist( CvHistogram* hist, double threshold );
/* Compares two histogram */
CVAPI(double) cvCompareHist( const CvHistogram* hist1,
const CvHistogram* hist2,
int method);
/* Copies one histogram to another. Destination histogram is created if
the destination pointer is NULL */
CVAPI(void) cvCopyHist( const CvHistogram* src, CvHistogram** dst );
/* Calculates bayesian probabilistic histograms
(each or src and dst is an array of <number> histograms */
CVAPI(void) cvCalcBayesianProb( CvHistogram** src, int number,
CvHistogram** dst);
/* Calculates array histogram */
CVAPI(void) cvCalcArrHist( CvArr** arr, CvHistogram* hist,
int accumulate CV_DEFAULT(0),
const CvArr* mask CV_DEFAULT(NULL) );
CV_INLINE void cvCalcHist( IplImage** image, CvHistogram* hist,
int accumulate CV_DEFAULT(0),
const CvArr* mask CV_DEFAULT(NULL) )
{
cvCalcArrHist( (CvArr**)image, hist, accumulate, mask );
}
/* Calculates back project */
CVAPI(void) cvCalcArrBackProject( CvArr** image, CvArr* dst,
const CvHistogram* hist );
#define cvCalcBackProject(image, dst, hist) cvCalcArrBackProject((CvArr**)image, dst, hist)
/* Does some sort of template matching but compares histograms of
template and each window location */
CVAPI(void) cvCalcArrBackProjectPatch( CvArr** image, CvArr* dst, CvSize range,
CvHistogram* hist, int method,
double factor );
#define cvCalcBackProjectPatch( image, dst, range, hist, method, factor ) \
cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor )
/* calculates probabilistic density (divides one histogram by another) */
CVAPI(void) cvCalcProbDensity( const CvHistogram* hist1, const CvHistogram* hist2,
CvHistogram* dst_hist, double scale CV_DEFAULT(255) );
/* equalizes histogram of 8-bit single-channel image */
CVAPI(void) cvEqualizeHist( const CvArr* src, CvArr* dst );
/* Applies distance transform to binary image */
CVAPI(void) cvDistTransform( const CvArr* src, CvArr* dst,
int distance_type CV_DEFAULT(CV_DIST_L2),
int mask_size CV_DEFAULT(3),
const float* mask CV_DEFAULT(NULL),
CvArr* labels CV_DEFAULT(NULL),
int labelType CV_DEFAULT(CV_DIST_LABEL_CCOMP));
/* Applies fixed-level threshold to grayscale image.
This is a basic operation applied before retrieving contours */
CVAPI(double) cvThreshold( const CvArr* src, CvArr* dst,
double threshold, double max_value,
int threshold_type );
/* Applies adaptive threshold to grayscale image.
The two parameters for methods CV_ADAPTIVE_THRESH_MEAN_C and
CV_ADAPTIVE_THRESH_GAUSSIAN_C are:
neighborhood size (3, 5, 7 etc.),
and a constant subtracted from mean (...,-3,-2,-1,0,1,2,3,...) */
CVAPI(void) cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double max_value,
int adaptive_method CV_DEFAULT(CV_ADAPTIVE_THRESH_MEAN_C),
int threshold_type CV_DEFAULT(CV_THRESH_BINARY),
int block_size CV_DEFAULT(3),
double param1 CV_DEFAULT(5));
/* Fills the connected component until the color difference gets large enough */
CVAPI(void) cvFloodFill( CvArr* image, CvPoint seed_point,
CvScalar new_val, CvScalar lo_diff CV_DEFAULT(cvScalarAll(0)),
CvScalar up_diff CV_DEFAULT(cvScalarAll(0)),
CvConnectedComp* comp CV_DEFAULT(NULL),
int flags CV_DEFAULT(4),
CvArr* mask CV_DEFAULT(NULL));
/****************************************************************************************\
* Feature detection *
\****************************************************************************************/
/* Runs canny edge detector */
CVAPI(void) cvCanny( const CvArr* image, CvArr* edges, double threshold1,
double threshold2, int aperture_size CV_DEFAULT(3) );
/* Calculates constraint image for corner detection
Dx^2 * Dyy + Dxx * Dy^2 - 2 * Dx * Dy * Dxy.
Applying threshold to the result gives coordinates of corners */
CVAPI(void) cvPreCornerDetect( const CvArr* image, CvArr* corners,
int aperture_size CV_DEFAULT(3) );
/* Calculates eigen values and vectors of 2x2
gradient covariation matrix at every image pixel */
CVAPI(void) cvCornerEigenValsAndVecs( const CvArr* image, CvArr* eigenvv,
int block_size, int aperture_size CV_DEFAULT(3) );
/* Calculates minimal eigenvalue for 2x2 gradient covariation matrix at
every image pixel */
CVAPI(void) cvCornerMinEigenVal( const CvArr* image, CvArr* eigenval,
int block_size, int aperture_size CV_DEFAULT(3) );
/* Harris corner detector:
Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel */
CVAPI(void) cvCornerHarris( const CvArr* image, CvArr* harris_response,
int block_size, int aperture_size CV_DEFAULT(3),
double k CV_DEFAULT(0.04) );
/* Adjust corner position using some sort of gradient search */
CVAPI(void) cvFindCornerSubPix( const CvArr* image, CvPoint2D32f* corners,
int count, CvSize win, CvSize zero_zone,
CvTermCriteria criteria );
/* Finds a sparse set of points within the selected region
that seem to be easy to track */
CVAPI(void) cvGoodFeaturesToTrack( const CvArr* image, CvArr* eig_image,
CvArr* temp_image, CvPoint2D32f* corners,
int* corner_count, double quality_level,
double min_distance,
const CvArr* mask CV_DEFAULT(NULL),
int block_size CV_DEFAULT(3),
int use_harris CV_DEFAULT(0),
double k CV_DEFAULT(0.04) );
/* Finds lines on binary image using one of several methods.
line_storage is either memory storage or 1 x <max number of lines> CvMat, its
number of columns is changed by the function.
method is one of CV_HOUGH_*;
rho, theta and threshold are used for each of those methods;
param1 ~ line length, param2 ~ line gap - for probabilistic,
param1 ~ srn, param2 ~ stn - for multi-scale */
CVAPI(CvSeq*) cvHoughLines2( CvArr* image, void* line_storage, int method,
double rho, double theta, int threshold,
double param1 CV_DEFAULT(0), double param2 CV_DEFAULT(0));
/* Finds circles in the image */
CVAPI(CvSeq*) cvHoughCircles( CvArr* image, void* circle_storage,
int method, double dp, double min_dist,
double param1 CV_DEFAULT(100),
double param2 CV_DEFAULT(100),
int min_radius CV_DEFAULT(0),
int max_radius CV_DEFAULT(0));
/* Fits a line into set of 2d or 3d points in a robust way (M-estimator technique) */
CVAPI(void) cvFitLine( const CvArr* points, int dist_type, double param,
double reps, double aeps, float* line );
#ifdef __cplusplus
}
#endif
#endif

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@ -1,640 +0,0 @@
/*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.
// 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*/
#ifndef __OPENCV_IMGPROC_TYPES_C_H__
#define __OPENCV_IMGPROC_TYPES_C_H__
#include "opencv2/core/core_c.h"
#ifdef __cplusplus
extern "C" {
#endif
/* Connected component structure */
typedef struct CvConnectedComp
{
double area; /* area of the connected component */
CvScalar value; /* average color of the connected component */
CvRect rect; /* ROI of the component */
CvSeq* contour; /* optional component boundary
(the contour might have child contours corresponding to the holes)*/
}
CvConnectedComp;
/* Image smooth methods */
enum
{
CV_BLUR_NO_SCALE =0,
CV_BLUR =1,
CV_GAUSSIAN =2,
CV_MEDIAN =3,
CV_BILATERAL =4
};
/* Filters used in pyramid decomposition */
enum
{
CV_GAUSSIAN_5x5 = 7
};
/* Special filters */
enum
{
CV_SCHARR =-1,
CV_MAX_SOBEL_KSIZE =7
};
/* Constants for color conversion */
enum
{
CV_BGR2BGRA =0,
CV_RGB2RGBA =CV_BGR2BGRA,
CV_BGRA2BGR =1,
CV_RGBA2RGB =CV_BGRA2BGR,
CV_BGR2RGBA =2,
CV_RGB2BGRA =CV_BGR2RGBA,
CV_RGBA2BGR =3,
CV_BGRA2RGB =CV_RGBA2BGR,
CV_BGR2RGB =4,
CV_RGB2BGR =CV_BGR2RGB,
CV_BGRA2RGBA =5,
CV_RGBA2BGRA =CV_BGRA2RGBA,
CV_BGR2GRAY =6,
CV_RGB2GRAY =7,
CV_GRAY2BGR =8,
CV_GRAY2RGB =CV_GRAY2BGR,
CV_GRAY2BGRA =9,
CV_GRAY2RGBA =CV_GRAY2BGRA,
CV_BGRA2GRAY =10,
CV_RGBA2GRAY =11,
CV_BGR2BGR565 =12,
CV_RGB2BGR565 =13,
CV_BGR5652BGR =14,
CV_BGR5652RGB =15,
CV_BGRA2BGR565 =16,
CV_RGBA2BGR565 =17,
CV_BGR5652BGRA =18,
CV_BGR5652RGBA =19,
CV_GRAY2BGR565 =20,
CV_BGR5652GRAY =21,
CV_BGR2BGR555 =22,
CV_RGB2BGR555 =23,
CV_BGR5552BGR =24,
CV_BGR5552RGB =25,
CV_BGRA2BGR555 =26,
CV_RGBA2BGR555 =27,
CV_BGR5552BGRA =28,
CV_BGR5552RGBA =29,
CV_GRAY2BGR555 =30,
CV_BGR5552GRAY =31,
CV_BGR2XYZ =32,
CV_RGB2XYZ =33,
CV_XYZ2BGR =34,
CV_XYZ2RGB =35,
CV_BGR2YCrCb =36,
CV_RGB2YCrCb =37,
CV_YCrCb2BGR =38,
CV_YCrCb2RGB =39,
CV_BGR2HSV =40,
CV_RGB2HSV =41,
CV_BGR2Lab =44,
CV_RGB2Lab =45,
CV_BayerBG2BGR =46,
CV_BayerGB2BGR =47,
CV_BayerRG2BGR =48,
CV_BayerGR2BGR =49,
CV_BayerBG2RGB =CV_BayerRG2BGR,
CV_BayerGB2RGB =CV_BayerGR2BGR,
CV_BayerRG2RGB =CV_BayerBG2BGR,
CV_BayerGR2RGB =CV_BayerGB2BGR,
CV_BGR2Luv =50,
CV_RGB2Luv =51,
CV_BGR2HLS =52,
CV_RGB2HLS =53,
CV_HSV2BGR =54,
CV_HSV2RGB =55,
CV_Lab2BGR =56,
CV_Lab2RGB =57,
CV_Luv2BGR =58,
CV_Luv2RGB =59,
CV_HLS2BGR =60,
CV_HLS2RGB =61,
CV_BayerBG2BGR_VNG =62,
CV_BayerGB2BGR_VNG =63,
CV_BayerRG2BGR_VNG =64,
CV_BayerGR2BGR_VNG =65,
CV_BayerBG2RGB_VNG =CV_BayerRG2BGR_VNG,
CV_BayerGB2RGB_VNG =CV_BayerGR2BGR_VNG,
CV_BayerRG2RGB_VNG =CV_BayerBG2BGR_VNG,
CV_BayerGR2RGB_VNG =CV_BayerGB2BGR_VNG,
CV_BGR2HSV_FULL = 66,
CV_RGB2HSV_FULL = 67,
CV_BGR2HLS_FULL = 68,
CV_RGB2HLS_FULL = 69,
CV_HSV2BGR_FULL = 70,
CV_HSV2RGB_FULL = 71,
CV_HLS2BGR_FULL = 72,
CV_HLS2RGB_FULL = 73,
CV_LBGR2Lab = 74,
CV_LRGB2Lab = 75,
CV_LBGR2Luv = 76,
CV_LRGB2Luv = 77,
CV_Lab2LBGR = 78,
CV_Lab2LRGB = 79,
CV_Luv2LBGR = 80,
CV_Luv2LRGB = 81,
CV_BGR2YUV = 82,
CV_RGB2YUV = 83,
CV_YUV2BGR = 84,
CV_YUV2RGB = 85,
CV_BayerBG2GRAY = 86,
CV_BayerGB2GRAY = 87,
CV_BayerRG2GRAY = 88,
CV_BayerGR2GRAY = 89,
//YUV 4:2:0 formats family
CV_YUV2RGB_NV12 = 90,
CV_YUV2BGR_NV12 = 91,
CV_YUV2RGB_NV21 = 92,
CV_YUV2BGR_NV21 = 93,
CV_YUV420sp2RGB = CV_YUV2RGB_NV21,
CV_YUV420sp2BGR = CV_YUV2BGR_NV21,
CV_YUV2RGBA_NV12 = 94,
CV_YUV2BGRA_NV12 = 95,
CV_YUV2RGBA_NV21 = 96,
CV_YUV2BGRA_NV21 = 97,
CV_YUV420sp2RGBA = CV_YUV2RGBA_NV21,
CV_YUV420sp2BGRA = CV_YUV2BGRA_NV21,
CV_YUV2RGB_YV12 = 98,
CV_YUV2BGR_YV12 = 99,
CV_YUV2RGB_IYUV = 100,
CV_YUV2BGR_IYUV = 101,
CV_YUV2RGB_I420 = CV_YUV2RGB_IYUV,
CV_YUV2BGR_I420 = CV_YUV2BGR_IYUV,
CV_YUV420p2RGB = CV_YUV2RGB_YV12,
CV_YUV420p2BGR = CV_YUV2BGR_YV12,
CV_YUV2RGBA_YV12 = 102,
CV_YUV2BGRA_YV12 = 103,
CV_YUV2RGBA_IYUV = 104,
CV_YUV2BGRA_IYUV = 105,
CV_YUV2RGBA_I420 = CV_YUV2RGBA_IYUV,
CV_YUV2BGRA_I420 = CV_YUV2BGRA_IYUV,
CV_YUV420p2RGBA = CV_YUV2RGBA_YV12,
CV_YUV420p2BGRA = CV_YUV2BGRA_YV12,
CV_YUV2GRAY_420 = 106,
CV_YUV2GRAY_NV21 = CV_YUV2GRAY_420,
CV_YUV2GRAY_NV12 = CV_YUV2GRAY_420,
CV_YUV2GRAY_YV12 = CV_YUV2GRAY_420,
CV_YUV2GRAY_IYUV = CV_YUV2GRAY_420,
CV_YUV2GRAY_I420 = CV_YUV2GRAY_420,
CV_YUV420sp2GRAY = CV_YUV2GRAY_420,
CV_YUV420p2GRAY = CV_YUV2GRAY_420,
//YUV 4:2:2 formats family
CV_YUV2RGB_UYVY = 107,
CV_YUV2BGR_UYVY = 108,
//CV_YUV2RGB_VYUY = 109,
//CV_YUV2BGR_VYUY = 110,
CV_YUV2RGB_Y422 = CV_YUV2RGB_UYVY,
CV_YUV2BGR_Y422 = CV_YUV2BGR_UYVY,
CV_YUV2RGB_UYNV = CV_YUV2RGB_UYVY,
CV_YUV2BGR_UYNV = CV_YUV2BGR_UYVY,
CV_YUV2RGBA_UYVY = 111,
CV_YUV2BGRA_UYVY = 112,
//CV_YUV2RGBA_VYUY = 113,
//CV_YUV2BGRA_VYUY = 114,
CV_YUV2RGBA_Y422 = CV_YUV2RGBA_UYVY,
CV_YUV2BGRA_Y422 = CV_YUV2BGRA_UYVY,
CV_YUV2RGBA_UYNV = CV_YUV2RGBA_UYVY,
CV_YUV2BGRA_UYNV = CV_YUV2BGRA_UYVY,
CV_YUV2RGB_YUY2 = 115,
CV_YUV2BGR_YUY2 = 116,
CV_YUV2RGB_YVYU = 117,
CV_YUV2BGR_YVYU = 118,
CV_YUV2RGB_YUYV = CV_YUV2RGB_YUY2,
CV_YUV2BGR_YUYV = CV_YUV2BGR_YUY2,
CV_YUV2RGB_YUNV = CV_YUV2RGB_YUY2,
CV_YUV2BGR_YUNV = CV_YUV2BGR_YUY2,
CV_YUV2RGBA_YUY2 = 119,
CV_YUV2BGRA_YUY2 = 120,
CV_YUV2RGBA_YVYU = 121,
CV_YUV2BGRA_YVYU = 122,
CV_YUV2RGBA_YUYV = CV_YUV2RGBA_YUY2,
CV_YUV2BGRA_YUYV = CV_YUV2BGRA_YUY2,
CV_YUV2RGBA_YUNV = CV_YUV2RGBA_YUY2,
CV_YUV2BGRA_YUNV = CV_YUV2BGRA_YUY2,
CV_YUV2GRAY_UYVY = 123,
CV_YUV2GRAY_YUY2 = 124,
//CV_YUV2GRAY_VYUY = CV_YUV2GRAY_UYVY,
CV_YUV2GRAY_Y422 = CV_YUV2GRAY_UYVY,
CV_YUV2GRAY_UYNV = CV_YUV2GRAY_UYVY,
CV_YUV2GRAY_YVYU = CV_YUV2GRAY_YUY2,
CV_YUV2GRAY_YUYV = CV_YUV2GRAY_YUY2,
CV_YUV2GRAY_YUNV = CV_YUV2GRAY_YUY2,
// alpha premultiplication
CV_RGBA2mRGBA = 125,
CV_mRGBA2RGBA = 126,
CV_RGB2YUV_I420 = 127,
CV_BGR2YUV_I420 = 128,
CV_RGB2YUV_IYUV = CV_RGB2YUV_I420,
CV_BGR2YUV_IYUV = CV_BGR2YUV_I420,
CV_RGBA2YUV_I420 = 129,
CV_BGRA2YUV_I420 = 130,
CV_RGBA2YUV_IYUV = CV_RGBA2YUV_I420,
CV_BGRA2YUV_IYUV = CV_BGRA2YUV_I420,
CV_RGB2YUV_YV12 = 131,
CV_BGR2YUV_YV12 = 132,
CV_RGBA2YUV_YV12 = 133,
CV_BGRA2YUV_YV12 = 134,
CV_COLORCVT_MAX = 135
};
/* Sub-pixel interpolation methods */
enum
{
CV_INTER_NN =0,
CV_INTER_LINEAR =1,
CV_INTER_CUBIC =2,
CV_INTER_AREA =3,
CV_INTER_LANCZOS4 =4
};
/* ... and other image warping flags */
enum
{
CV_WARP_FILL_OUTLIERS =8,
CV_WARP_INVERSE_MAP =16
};
/* Shapes of a structuring element for morphological operations */
enum
{
CV_SHAPE_RECT =0,
CV_SHAPE_CROSS =1,
CV_SHAPE_ELLIPSE =2,
CV_SHAPE_CUSTOM =100
};
/* Morphological operations */
enum
{
CV_MOP_ERODE =0,
CV_MOP_DILATE =1,
CV_MOP_OPEN =2,
CV_MOP_CLOSE =3,
CV_MOP_GRADIENT =4,
CV_MOP_TOPHAT =5,
CV_MOP_BLACKHAT =6
};
/* Spatial and central moments */
typedef struct CvMoments
{
double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; /* spatial moments */
double mu20, mu11, mu02, mu30, mu21, mu12, mu03; /* central moments */
double inv_sqrt_m00; /* m00 != 0 ? 1/sqrt(m00) : 0 */
}
CvMoments;
/* Hu invariants */
typedef struct CvHuMoments
{
double hu1, hu2, hu3, hu4, hu5, hu6, hu7; /* Hu invariants */
}
CvHuMoments;
/* Template matching methods */
enum
{
CV_TM_SQDIFF =0,
CV_TM_SQDIFF_NORMED =1,
CV_TM_CCORR =2,
CV_TM_CCORR_NORMED =3,
CV_TM_CCOEFF =4,
CV_TM_CCOEFF_NORMED =5
};
typedef float (CV_CDECL * CvDistanceFunction)( const float* a, const float* b, void* user_param );
/* Contour retrieval modes */
enum
{
CV_RETR_EXTERNAL=0,
CV_RETR_LIST=1,
CV_RETR_CCOMP=2,
CV_RETR_TREE=3,
CV_RETR_FLOODFILL=4
};
/* Contour approximation methods */
enum
{
CV_CHAIN_CODE=0,
CV_CHAIN_APPROX_NONE=1,
CV_CHAIN_APPROX_SIMPLE=2,
CV_CHAIN_APPROX_TC89_L1=3,
CV_CHAIN_APPROX_TC89_KCOS=4,
CV_LINK_RUNS=5
};
/*
Internal structure that is used for sequental retrieving contours from the image.
It supports both hierarchical and plane variants of Suzuki algorithm.
*/
typedef struct _CvContourScanner* CvContourScanner;
/* Freeman chain reader state */
typedef struct CvChainPtReader
{
CV_SEQ_READER_FIELDS()
char code;
CvPoint pt;
schar deltas[8][2];
}
CvChainPtReader;
/* initializes 8-element array for fast access to 3x3 neighborhood of a pixel */
#define CV_INIT_3X3_DELTAS( deltas, step, nch ) \
((deltas)[0] = (nch), (deltas)[1] = -(step) + (nch), \
(deltas)[2] = -(step), (deltas)[3] = -(step) - (nch), \
(deltas)[4] = -(nch), (deltas)[5] = (step) - (nch), \
(deltas)[6] = (step), (deltas)[7] = (step) + (nch))
/****************************************************************************************\
* Planar subdivisions *
\****************************************************************************************/
typedef size_t CvSubdiv2DEdge;
#define CV_QUADEDGE2D_FIELDS() \
int flags; \
struct CvSubdiv2DPoint* pt[4]; \
CvSubdiv2DEdge next[4];
#define CV_SUBDIV2D_POINT_FIELDS()\
int flags; \
CvSubdiv2DEdge first; \
CvPoint2D32f pt; \
int id;
#define CV_SUBDIV2D_VIRTUAL_POINT_FLAG (1 << 30)
typedef struct CvQuadEdge2D
{
CV_QUADEDGE2D_FIELDS()
}
CvQuadEdge2D;
typedef struct CvSubdiv2DPoint
{
CV_SUBDIV2D_POINT_FIELDS()
}
CvSubdiv2DPoint;
#define CV_SUBDIV2D_FIELDS() \
CV_GRAPH_FIELDS() \
int quad_edges; \
int is_geometry_valid; \
CvSubdiv2DEdge recent_edge; \
CvPoint2D32f topleft; \
CvPoint2D32f bottomright;
typedef struct CvSubdiv2D
{
CV_SUBDIV2D_FIELDS()
}
CvSubdiv2D;
typedef enum CvSubdiv2DPointLocation
{
CV_PTLOC_ERROR = -2,
CV_PTLOC_OUTSIDE_RECT = -1,
CV_PTLOC_INSIDE = 0,
CV_PTLOC_VERTEX = 1,
CV_PTLOC_ON_EDGE = 2
}
CvSubdiv2DPointLocation;
typedef enum CvNextEdgeType
{
CV_NEXT_AROUND_ORG = 0x00,
CV_NEXT_AROUND_DST = 0x22,
CV_PREV_AROUND_ORG = 0x11,
CV_PREV_AROUND_DST = 0x33,
CV_NEXT_AROUND_LEFT = 0x13,
CV_NEXT_AROUND_RIGHT = 0x31,
CV_PREV_AROUND_LEFT = 0x20,
CV_PREV_AROUND_RIGHT = 0x02
}
CvNextEdgeType;
/* get the next edge with the same origin point (counterwise) */
#define CV_SUBDIV2D_NEXT_EDGE( edge ) (((CvQuadEdge2D*)((edge) & ~3))->next[(edge)&3])
/* Contour approximation algorithms */
enum
{
CV_POLY_APPROX_DP = 0
};
/* Shape matching methods */
enum
{
CV_CONTOURS_MATCH_I1 =1,
CV_CONTOURS_MATCH_I2 =2,
CV_CONTOURS_MATCH_I3 =3
};
/* Shape orientation */
enum
{
CV_CLOCKWISE =1,
CV_COUNTER_CLOCKWISE =2
};
/* Convexity defect */
typedef struct CvConvexityDefect
{
CvPoint* start; /* point of the contour where the defect begins */
CvPoint* end; /* point of the contour where the defect ends */
CvPoint* depth_point; /* the farthest from the convex hull point within the defect */
float depth; /* distance between the farthest point and the convex hull */
} CvConvexityDefect;
/* Histogram comparison methods */
enum
{
CV_COMP_CORREL =0,
CV_COMP_CHISQR =1,
CV_COMP_INTERSECT =2,
CV_COMP_BHATTACHARYYA =3,
CV_COMP_HELLINGER =CV_COMP_BHATTACHARYYA
};
/* Mask size for distance transform */
enum
{
CV_DIST_MASK_3 =3,
CV_DIST_MASK_5 =5,
CV_DIST_MASK_PRECISE =0
};
/* Content of output label array: connected components or pixels */
enum
{
CV_DIST_LABEL_CCOMP = 0,
CV_DIST_LABEL_PIXEL = 1
};
/* Distance types for Distance Transform and M-estimators */
enum
{
CV_DIST_USER =-1, /* User defined distance */
CV_DIST_L1 =1, /* distance = |x1-x2| + |y1-y2| */
CV_DIST_L2 =2, /* the simple euclidean distance */
CV_DIST_C =3, /* distance = max(|x1-x2|,|y1-y2|) */
CV_DIST_L12 =4, /* L1-L2 metric: distance = 2(sqrt(1+x*x/2) - 1)) */
CV_DIST_FAIR =5, /* distance = c^2(|x|/c-log(1+|x|/c)), c = 1.3998 */
CV_DIST_WELSCH =6, /* distance = c^2/2(1-exp(-(x/c)^2)), c = 2.9846 */
CV_DIST_HUBER =7 /* distance = |x|<c ? x^2/2 : c(|x|-c/2), c=1.345 */
};
/* Threshold types */
enum
{
CV_THRESH_BINARY =0, /* value = value > threshold ? max_value : 0 */
CV_THRESH_BINARY_INV =1, /* value = value > threshold ? 0 : max_value */
CV_THRESH_TRUNC =2, /* value = value > threshold ? threshold : value */
CV_THRESH_TOZERO =3, /* value = value > threshold ? value : 0 */
CV_THRESH_TOZERO_INV =4, /* value = value > threshold ? 0 : value */
CV_THRESH_MASK =7,
CV_THRESH_OTSU =8 /* use Otsu algorithm to choose the optimal threshold value;
combine the flag with one of the above CV_THRESH_* values */
};
/* Adaptive threshold methods */
enum
{
CV_ADAPTIVE_THRESH_MEAN_C =0,
CV_ADAPTIVE_THRESH_GAUSSIAN_C =1
};
/* FloodFill flags */
enum
{
CV_FLOODFILL_FIXED_RANGE =(1 << 16),
CV_FLOODFILL_MASK_ONLY =(1 << 17)
};
/* Canny edge detector flags */
enum
{
CV_CANNY_L2_GRADIENT =(1 << 31)
};
/* Variants of a Hough transform */
enum
{
CV_HOUGH_STANDARD =0,
CV_HOUGH_PROBABILISTIC =1,
CV_HOUGH_MULTI_SCALE =2,
CV_HOUGH_GRADIENT =3
};
/* Fast search data structures */
struct CvFeatureTree;
struct CvLSH;
struct CvLSHOperations;
#ifdef __cplusplus
}
#endif
#endif

2
selfdrive/camerad/SConscript
View File

@ -24,8 +24,8 @@ else:
env.Append(CFLAGS = '-DWEBCAM')
env.Append(CPPPATH = '/usr/local/include/opencv4')
else:
libs += []
cameras = ['cameras/camera_frame_stream.cc']
if arch == "Darwin":
del libs[libs.index('OpenCL')]
env = env.Clone()