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Brought matlab module into cv namespace

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This commit is contained in:
hbristow
2013-08-30 12:39:01 +10:00
parent bc93edac34
commit 8f62a52b9b
5 changed files with 146 additions and 130 deletions
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2
modules/matlab/generator/templates/template_class_base.cpp
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@@ -15,6 +15,8 @@
#include <opencv2/matlab/bridge.hpp>
#include <opencv2/core.hpp>
using namespace cv;
using namespace matlab;
using namespace bridge;
namespace {

2
modules/matlab/generator/templates/template_function_base.cpp
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@@ -15,6 +15,8 @@
#include <opencv2/matlab/bridge.hpp>
#include <opencv2/{{includes}}.hpp>
using namespace cv;
using namespace matlab;
using namespace bridge;
/*
* {{ fun.name }}

73
modules/matlab/include/opencv2/matlab/bridge.hpp
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@@ -49,6 +49,9 @@
#include <opencv2/core.hpp>
#include <opencv2/calib3d.hpp>
namespace cv {
namespace bridge {
/*
* Custom typedefs
* Parsed names from the hdr_parser
@@ -72,10 +75,10 @@ typedef cv::Ptr<cv::FeatureDetector> Ptr_FeatureDetector;
class Bridge;
template <typename InputScalar, typename OutputScalar>
void deepCopyAndTranspose(const cv::Mat& src, MxArray& dst);
void deepCopyAndTranspose(const cv::Mat& src, matlab::MxArray& dst);
template <typename InputScalar, typename OutputScalar>
void deepCopyAndTranspose(const MxArray& src, cv::Mat& dst);
void deepCopyAndTranspose(const matlab::MxArray& src, cv::Mat& dst);
@@ -104,7 +107,7 @@ void deepCopyAndTranspose(const MxArray& src, cv::Mat& dst);
* you can add your own custom type conversions.
*
* Because Matlab uses a homogeneous storage type, all operations are provided
* relative to Matlab's type. That is, Bridge always stores an MxArray object
* relative to Matlab's type. That is, Bridge always stores an matlab::MxArray object
* and converts to and from other object types on demand.
*
* NOTE: for the explicit conversion function, the object name must be
@@ -126,7 +129,7 @@ void deepCopyAndTranspose(const MxArray& src, cv::Mat& dst);
*/
class Bridge {
private:
MxArray ptr_;
matlab::MxArray ptr_;
public:
// bridges are default constructible
Bridge() {}
@@ -145,11 +148,11 @@ public:
// check that the object is actually of correct type before unpacking
// TODO: Traverse class hierarchy?
if (!ptr_.isClass(name)) {
error(std::string("Expected class ").append(std::string(name))
matlab::error(std::string("Expected class ").append(std::string(name))
.append(" but was given ").append(ptr_.className()));
}
// get the instance field
MxArray inst = ptr_.field("inst_");
matlab::MxArray inst = ptr_.field("inst_");
Object* obj = NULL;
// make sure the pointer is the correct size for the system
if (sizeof(void *) == 8 && inst.ID() == mxUINT64_CLASS) {
@@ -160,11 +163,11 @@ public:
// 32-bit pointers
obj = reinterpret_cast<Object *>(inst.scalar<uint32_t>());
} else {
error("Incorrect pointer type stored for architecture");
matlab::error("Incorrect pointer type stored for architecture");
}
// finally check if the object is NULL
conditionalError(obj, std::string("Object ").append(std::string(name)).append(std::string(" is NULL")));
matlab::conditionalError(obj, std::string("Object ").append(std::string(name)).append(std::string(" is NULL")));
return obj;
}
@@ -173,10 +176,10 @@ public:
// MATLAB TYPES
// --------------------------------------------------------------------------
Bridge& operator=(const mxArray* obj) { ptr_ = obj; return *this; }
Bridge& operator=(const MxArray& obj) { ptr_ = obj; return *this; }
Bridge(const MxArray& obj) : ptr_(obj) {}
Bridge& operator=(const matlab::MxArray& obj) { ptr_ = obj; return *this; }
Bridge(const matlab::MxArray& obj) : ptr_(obj) {}
Bridge(const mxArray* obj) : ptr_(obj) {}
MxArray toMxArray() { return ptr_; }
matlab::MxArray toMxArray() { return ptr_; }
// --------------------------------------------------------------------------
@@ -187,8 +190,8 @@ public:
operator cv::Mat() const { return toMat(); }
template <typename Scalar>
static MxArray FromMat(const cv::Mat& mat) {
MxArray arr(mat.rows, mat.cols, mat.channels(), Matlab::Traits<Scalar>::ScalarType);
static matlab::MxArray FromMat(const cv::Mat& mat) {
matlab::MxArray arr(mat.rows, mat.cols, mat.channels(), matlab::Traits<Scalar>::ScalarType);
switch (mat.depth()) {
case CV_8U: deepCopyAndTranspose<uint8_t, Scalar>(mat, arr); break;
case CV_8S: deepCopyAndTranspose<int8_t, Scalar>(mat, arr); break;
@@ -197,7 +200,7 @@ public:
case CV_32S: deepCopyAndTranspose<int32_t, Scalar>(mat, arr); break;
case CV_32F: deepCopyAndTranspose<float, Scalar>(mat, arr); break;
case CV_64F: deepCopyAndTranspose<double, Scalar>(mat, arr); break;
default: error("Attempted to convert from unknown class");
default: matlab::error("Attempted to convert from unknown class");
}
return arr;
}
@@ -218,7 +221,7 @@ public:
case mxDOUBLE_CLASS: deepCopyAndTranspose<double, Scalar>(ptr_, mat); break;
case mxCHAR_CLASS: deepCopyAndTranspose<char, Scalar>(ptr_, mat); break;
case mxLOGICAL_CLASS: deepCopyAndTranspose<int8_t, Scalar>(ptr_, mat); break;
default: error("Attempted to convert from unknown class");
default: matlab::error("Attempted to convert from unknown class");
}
return mat;
}
@@ -393,9 +396,13 @@ public:
Ptr_FeatureDetector toPtrFeatureDetector() { return Ptr_FeatureDetector(); }
operator Ptr_FeatureDetector() { return toPtrFeatureDetector(); }
}; // class Bridge
};
// --------------------------------------------------------------------------
// SPECIALIZATIONS
// --------------------------------------------------------------------------
/*!
* @brief template specialization for inheriting types
@@ -407,7 +414,7 @@ public:
* that gets mapped to an unsigned 8-bit value
*/
template <>
MxArray Bridge::FromMat<Matlab::InheritType>(const cv::Mat& mat) {
matlab::MxArray Bridge::FromMat<matlab::InheritType>(const cv::Mat& mat) {
switch (mat.depth()) {
case CV_8U: return FromMat<uint8_t>(mat);
case CV_8S: return FromMat<int8_t>(mat);
@@ -416,9 +423,9 @@ MxArray Bridge::FromMat<Matlab::InheritType>(const cv::Mat& mat) {
case CV_32S: return FromMat<int32_t>(mat);
case CV_32F: return FromMat<double>(mat); //NOTE: Matlab uses double as native type!
case CV_64F: return FromMat<double>(mat);
default: error("Attempted to convert from unknown class");
default: matlab::error("Attempted to convert from unknown class");
}
return MxArray();
return matlab::MxArray();
}
/*!
@@ -430,7 +437,7 @@ MxArray Bridge::FromMat<Matlab::InheritType>(const cv::Mat& mat) {
* to unsignd 8-bit value.
*/
template <>
cv::Mat Bridge::toMat<Matlab::InheritType>() const {
cv::Mat Bridge::toMat<matlab::InheritType>() const {
switch (ptr_.ID()) {
case mxINT8_CLASS: return toMat<int8_t>();
case mxUINT8_CLASS: return toMat<uint8_t>();
@@ -444,13 +451,13 @@ cv::Mat Bridge::toMat<Matlab::InheritType>() const {
case mxDOUBLE_CLASS: return toMat<float>(); //NOTE: OpenCV uses float as native type!
case mxCHAR_CLASS: return toMat<int8_t>();
case mxLOGICAL_CLASS: return toMat<int8_t>();
default: error("Attempted to convert from unknown class");
default: matlab::error("Attempted to convert from unknown class");
}
return cv::Mat();
}
Bridge& Bridge::operator=(const cv::Mat& mat) { ptr_ = FromMat<Matlab::InheritType>(mat); return *this; }
cv::Mat Bridge::toMat() const { return toMat<Matlab::InheritType>(); }
Bridge& Bridge::operator=(const cv::Mat& mat) { ptr_ = FromMat<matlab::InheritType>(mat); return *this; }
cv::Mat Bridge::toMat() const { return toMat<matlab::InheritType>(); }
// ----------------------------------------------------------------------------
@@ -459,10 +466,10 @@ cv::Mat Bridge::toMat() const { return toMat<Matlab::InheritType>(); }
template <typename InputScalar, typename OutputScalar>
void deepCopyAndTranspose(const cv::Mat& in, MxArray& out) {
conditionalError(static_cast<size_t>(in.rows) == out.rows(), "Matrices must have the same number of rows");
conditionalError(static_cast<size_t>(in.cols) == out.cols(), "Matrices must have the same number of cols");
conditionalError(static_cast<size_t>(in.channels()) == out.channels(), "Matrices must have the same number of channels");
void deepCopyAndTranspose(const cv::Mat& in, matlab::MxArray& out) {
matlab::conditionalError(static_cast<size_t>(in.rows) == out.rows(), "Matrices must have the same number of rows");
matlab::conditionalError(static_cast<size_t>(in.cols) == out.cols(), "Matrices must have the same number of cols");
matlab::conditionalError(static_cast<size_t>(in.channels()) == out.channels(), "Matrices must have the same number of channels");
std::vector<cv::Mat> channels;
cv::split(in, channels);
for (size_t c = 0; c < out.channels(); ++c) {
@@ -478,10 +485,10 @@ void deepCopyAndTranspose(const cv::Mat& in, MxArray& out) {
}
template <typename InputScalar, typename OutputScalar>
void deepCopyAndTranspose(const MxArray& in, cv::Mat& out) {
conditionalError(in.rows() == static_cast<size_t>(out.rows), "Matrices must have the same number of rows");
conditionalError(in.cols() == static_cast<size_t>(out.cols), "Matrices must have the same number of cols");
conditionalError(in.channels() == static_cast<size_t>(out.channels()), "Matrices must have the same number of channels");
void deepCopyAndTranspose(const matlab::MxArray& in, cv::Mat& out) {
matlab::conditionalError(in.rows() == static_cast<size_t>(out.rows), "Matrices must have the same number of rows");
matlab::conditionalError(in.cols() == static_cast<size_t>(out.cols), "Matrices must have the same number of cols");
matlab::conditionalError(in.channels() == static_cast<size_t>(out.channels()), "Matrices must have the same number of channels");
std::vector<cv::Mat> channels;
for (size_t c = 0; c < in.channels(); ++c) {
cv::Mat outmat;
@@ -499,4 +506,8 @@ void deepCopyAndTranspose(const MxArray& in, cv::Mat& out) {
}
} // namespace bridge
} // namespace cv
#endif

3
modules/matlab/include/opencv2/matlab/map.hpp
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@@ -43,6 +43,7 @@
#ifndef OPENCV_MAP_HPP_
#define OPENCV_MAP_HPP_
namespace matlab {
#if __cplusplus >= 201103L
// If we have C++11 support, we just want to use unordered_map
@@ -84,5 +85,7 @@ public:
}
};
} // namespace matlab
#endif
#endif

22
modules/matlab/include/opencv2/matlab/mxarray.hpp
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@@ -66,8 +66,6 @@ typedef std::set<std::string> StringSet;
* Matlab does not ship headers for the mkl functions, so we define them
* here.
*
* This operation is used extensively to copy between Matlab's column-major
* format and OpenCV's row-major format.
*/
#ifdef __cplusplus
extern "C" {
@@ -76,7 +74,7 @@ extern "C" {
}
#endif
namespace matlab {
/*!
* @brief raise error if condition fails
*
@@ -101,7 +99,6 @@ static void error(const std::string& str) {
// ----------------------------------------------------------------------------
// MATLAB TRAITS
// ----------------------------------------------------------------------------
namespace Matlab {
class DefaultTraits {};
class InheritType {};
static const int Dynamic = -1;
@@ -186,11 +183,10 @@ namespace Matlab {
static std::string ToString() { return "char"; }
};
// inherited type
template<> class Traits<Matlab::InheritType> {
template<> class Traits<matlab::InheritType> {
public:
static std::string ToString() { return "Inherited type"; }
};
}
@@ -244,7 +240,7 @@ public:
*
* Construct a valid 0x0 matrix (so all other methods do not need validity checks
*/
MxArray() : ptr_(mxCreateDoubleMatrix(1, 1, Matlab::Traits<>::Real)), owns_(true) {}
MxArray() : ptr_(mxCreateDoubleMatrix(1, 1, matlab::Traits<>::Real)), owns_(true) {}
/*!
* @brief inheriting constructor
@@ -265,7 +261,7 @@ public:
*
* This constructor explicitly creates an MxArray of the given size and type.
*/
MxArray(size_t m, size_t n, size_t k, mxClassID id, mxComplexity com = Matlab::Traits<>::Real) : owns_(true) {
MxArray(size_t m, size_t n, size_t k, mxClassID id, mxComplexity com = matlab::Traits<>::Real) : owns_(true) {
mwSize dims[] = { static_cast<mwSize>(m), static_cast<mwSize>(n), static_cast<mwSize>(k) };
ptr_ = mxCreateNumericArray(3, dims, id, com);
}
@@ -278,7 +274,7 @@ public:
*/
template <typename Scalar>
static MxArray Tensor(size_t m, size_t n, size_t k=1) {
return MxArray(m, n, k, Matlab::Traits<Scalar>::ScalarType);
return MxArray(m, n, k, matlab::Traits<Scalar>::ScalarType);
}
/*!
@@ -289,7 +285,7 @@ public:
*/
template <typename Scalar>
static MxArray Matrix(size_t m, size_t n) {
return MxArray(m, n, 1, Matlab::Traits<Scalar>::ScalarType);
return MxArray(m, n, 1, matlab::Traits<Scalar>::ScalarType);
}
/*!
@@ -300,7 +296,7 @@ public:
*/
template <typename Scalar>
static MxArray Vector(size_t m) {
return MxArray(m, 1, 1, Matlab::Traits<Scalar>::ScalarType);
return MxArray(m, 1, 1, matlab::Traits<Scalar>::ScalarType);
}
/*!
@@ -311,7 +307,7 @@ public:
*/
template <typename ScalarType>
static MxArray Scalar(ScalarType value = 0) {
MxArray s(1, 1, 1, Matlab::Traits<ScalarType>::ScalarType);
MxArray s(1, 1, 1, matlab::Traits<ScalarType>::ScalarType);
s.real<ScalarType>()[0] = value;
return s;
}
@@ -653,4 +649,6 @@ public:
}
};
} // namespace matlab
#endif