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Merge remote-tracking branch 'refs/remotes/upstream/master'

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This commit is contained in:
Olexa Bilaniuk 2015-03-18 02:21:36 -04:00
commit 8a1d8c8470
25 changed files with 340 additions and 236 deletions
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20
CMakeLists.txt
View File

@ -274,8 +274,6 @@ endif()
if(ANDROID OR WIN32)
set(OPENCV_DOC_INSTALL_PATH doc)
elseif(INSTALL_TO_MANGLED_PATHS)
set(OPENCV_DOC_INSTALL_PATH share/OpenCV-${OPENCV_VERSION}/doc)
else()
set(OPENCV_DOC_INSTALL_PATH share/OpenCV/doc)
endif()
@ -309,6 +307,10 @@ if(NOT OPENCV_TEST_INSTALL_PATH)
set(OPENCV_TEST_INSTALL_PATH "${OPENCV_BIN_INSTALL_PATH}")
endif()
if (OPENCV_TEST_DATA_PATH)
get_filename_component(OPENCV_TEST_DATA_PATH ${OPENCV_TEST_DATA_PATH} ABSOLUTE)
endif()
if(OPENCV_TEST_DATA_PATH AND NOT OPENCV_TEST_DATA_INSTALL_PATH)
if(ANDROID)
set(OPENCV_TEST_DATA_INSTALL_PATH "sdk/etc/testdata")
@ -327,9 +329,11 @@ if(ANDROID)
set(OPENCV_CONFIG_INSTALL_PATH sdk/native/jni)
set(OPENCV_INCLUDE_INSTALL_PATH sdk/native/jni/include)
set(OPENCV_SAMPLES_SRC_INSTALL_PATH samples/native)
set(OPENCV_OTHER_INSTALL_PATH sdk/etc)
else()
set(LIBRARY_OUTPUT_PATH "${OpenCV_BINARY_DIR}/lib")
set(3P_LIBRARY_OUTPUT_PATH "${OpenCV_BINARY_DIR}/3rdparty/lib${LIB_SUFFIX}")
if(WIN32 AND CMAKE_HOST_SYSTEM_NAME MATCHES Windows)
if(OpenCV_STATIC)
set(OPENCV_LIB_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib${LIB_SUFFIX}")
@ -338,10 +342,14 @@ else()
endif()
set(OPENCV_3P_LIB_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib${LIB_SUFFIX}")
set(OPENCV_SAMPLES_SRC_INSTALL_PATH samples/native)
set(OPENCV_JAR_INSTALL_PATH java)
set(OPENCV_OTHER_INSTALL_PATH etc)
else()
set(OPENCV_LIB_INSTALL_PATH lib${LIB_SUFFIX})
set(OPENCV_3P_LIB_INSTALL_PATH share/OpenCV/3rdparty/${OPENCV_LIB_INSTALL_PATH})
set(OPENCV_SAMPLES_SRC_INSTALL_PATH share/OpenCV/samples)
set(OPENCV_JAR_INSTALL_PATH share/OpenCV/java)
set(OPENCV_OTHER_INSTALL_PATH share/OpenCV)
endif()
set(OPENCV_INCLUDE_INSTALL_PATH "include")
@ -358,8 +366,16 @@ set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
if(INSTALL_TO_MANGLED_PATHS)
set(OPENCV_INCLUDE_INSTALL_PATH ${OPENCV_INCLUDE_INSTALL_PATH}/opencv-${OPENCV_VERSION})
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_3P_LIB_INSTALL_PATH "${OPENCV_3P_LIB_INSTALL_PATH}")
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_SAMPLES_SRC_INSTALL_PATH "${OPENCV_SAMPLES_SRC_INSTALL_PATH}")
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_CONFIG_INSTALL_PATH "${OPENCV_CONFIG_INSTALL_PATH}")
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_DOC_INSTALL_PATH "${OPENCV_DOC_INSTALL_PATH}")
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_JAR_INSTALL_PATH "${OPENCV_JAR_INSTALL_PATH}")
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_TEST_DATA_INSTALL_PATH "${OPENCV_TEST_DATA_INSTALL_PATH}")
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OPENCV_OTHER_INSTALL_PATH "${OPENCV_OTHER_INSTALL_PATH}")
endif()
if(WIN32)
# Postfix of DLLs:
set(OPENCV_DLLVERSION "${OPENCV_VERSION_MAJOR}${OPENCV_VERSION_MINOR}${OPENCV_VERSION_PATCH}")

10
apps/traincascade/imagestorage.cpp
View File

@ -33,20 +33,12 @@ bool CvCascadeImageReader::NegReader::create( const string _filename, Size _winS
if ( !file.is_open() )
return false;
size_t pos = _filename.rfind('\\');
char dlmrt = '\\';
if (pos == string::npos)
{
pos = _filename.rfind('/');
dlmrt = '/';
}
dirname = pos == string::npos ? "" : _filename.substr(0, pos) + dlmrt;
while( !file.eof() )
{
std::getline(file, str);
if (str.empty()) break;
if (str.at(0) == '#' ) continue; /* comment */
imgFilenames.push_back(dirname + str);
imgFilenames.push_back(str);
}
file.close();

23
cmake/OpenCVGenConfig.cmake
View File

@ -101,10 +101,7 @@ configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCVConfig-version.cmake.
set(OpenCV_INCLUDE_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_INCLUDE_INSTALL_PATH}/opencv" "\${OpenCV_INSTALL_PATH}/${OPENCV_INCLUDE_INSTALL_PATH}\"")
set(OpenCV2_INCLUDE_DIRS_CONFIGCMAKE "\"\"")
if(INSTALL_TO_MANGLED_PATHS)
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "${OPENCV_3P_LIB_INSTALL_PATH}")
set(OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE}\"")
endif()
set(OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_3P_LIB_INSTALL_PATH}\"")
if(UNIX) # ANDROID configuration is created here also
#http://www.vtk.org/Wiki/CMake/Tutorials/Packaging reference
@ -114,23 +111,13 @@ if(UNIX) # ANDROID configuration is created here also
# <prefix>/(share|lib)/<name>*/ (U)
# <prefix>/(share|lib)/<name>*/(cmake|CMake)/ (U)
if(USE_IPPICV)
if(INSTALL_TO_MANGLED_PATHS)
file(RELATIVE_PATH INSTALL_PATH_RELATIVE_IPPICV "${CMAKE_INSTALL_PREFIX}/${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/" ${IPPICV_INSTALL_PATH})
else()
file(RELATIVE_PATH INSTALL_PATH_RELATIVE_IPPICV "${CMAKE_INSTALL_PREFIX}/${OPENCV_CONFIG_INSTALL_PATH}/" ${IPPICV_INSTALL_PATH})
endif()
file(RELATIVE_PATH INSTALL_PATH_RELATIVE_IPPICV "${CMAKE_INSTALL_PREFIX}/${OPENCV_CONFIG_INSTALL_PATH}/" ${IPPICV_INSTALL_PATH})
endif()
configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCVConfig.cmake.in" "${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake" @ONLY)
configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCVConfig-version.cmake.in" "${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake" @ONLY)
if(INSTALL_TO_MANGLED_PATHS)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ COMPONENT dev)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
else()
install(FILES "${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
endif()
install(FILES "${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
endif()
if(ANDROID)

11
data/CMakeLists.txt
View File

@ -1,14 +1,9 @@
file(GLOB HAAR_CASCADES haarcascades/*.xml)
file(GLOB LBP_CASCADES lbpcascades/*.xml)
if(ANDROID)
install(FILES ${HAAR_CASCADES} DESTINATION sdk/etc/haarcascades COMPONENT libs)
install(FILES ${LBP_CASCADES} DESTINATION sdk/etc/lbpcascades COMPONENT libs)
else()
install(FILES ${HAAR_CASCADES} DESTINATION share/OpenCV/haarcascades COMPONENT libs)
install(FILES ${LBP_CASCADES} DESTINATION share/OpenCV/lbpcascades COMPONENT libs)
endif()
install(FILES ${HAAR_CASCADES} DESTINATION ${OPENCV_OTHER_INSTALL_PATH}/haarcascades COMPONENT libs)
install(FILES ${LBP_CASCADES} DESTINATION ${OPENCV_OTHER_INSTALL_PATH}/lbpcascades COMPONENT libs)
if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH)
install(DIRECTORY "${OPENCV_TEST_DATA_PATH}/" DESTINATION "${OPENCV_TEST_DATA_INSTALL_PATH}" COMPONENT "tests")
endif()
endif()

27
doc/CMakeLists.txt
View File

@ -27,15 +27,6 @@ if(HAVE_DOC_GENERATOR)
set(FIXED_ORDER_MODULES core imgproc imgcodecs videoio highgui video calib3d features2d objdetect ml flann photo stitching)
list(REMOVE_ITEM BASE_MODULES ${FIXED_ORDER_MODULES})
set(BASE_MODULES ${FIXED_ORDER_MODULES} ${BASE_MODULES})
set(DOC_LIST
"${OpenCV_SOURCE_DIR}/doc/opencv-logo.png"
"${OpenCV_SOURCE_DIR}/doc/opencv-logo2.png"
"${OpenCV_SOURCE_DIR}/doc/opencv-logo-white.png"
"${OpenCV_SOURCE_DIR}/doc/opencv.ico"
"${OpenCV_SOURCE_DIR}/doc/pattern.png"
"${OpenCV_SOURCE_DIR}/doc/acircles_pattern.png")
set(OPTIONAL_DOC_LIST "")
endif(HAVE_DOC_GENERATOR)
# ========= Doxygen docs =========
@ -160,18 +151,8 @@ if(BUILD_DOCS AND DOXYGEN_FOUND)
COMMAND ${DOXYGEN_EXECUTABLE} ${doxyfile}
DEPENDS ${doxyfile} ${rootfile} ${bibfile} ${deps}
)
install(DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/doxygen/html
DESTINATION "${OPENCV_DOC_INSTALL_PATH}"
COMPONENT "docs" OPTIONAL
)
endif()
if(HAVE_DOC_GENERATOR)
# installation
foreach(f ${DOC_LIST})
install(FILES "${f}" DESTINATION "${OPENCV_DOC_INSTALL_PATH}" COMPONENT docs)
endforeach()
foreach(f ${OPTIONAL_DOC_LIST})
install(FILES "${f}" DESTINATION "${OPENCV_DOC_INSTALL_PATH}" OPTIONAL COMPONENT docs)
endforeach()
# dummy targets
add_custom_target(docs)
add_custom_target(html_docs)
endif(HAVE_DOC_GENERATOR)

10
modules/calib3d/include/opencv2/calib3d.hpp
View File

@ -514,6 +514,16 @@ projections, as well as the camera matrix and the distortion coefficients.
@note
- An example of how to use solvePnP for planar augmented reality can be found at
opencv_source_code/samples/python2/plane_ar.py
- If you are using Python:
- Numpy array slices won't work as input because solvePnP requires contiguous
arrays (enforced by the assertion using cv::Mat::checkVector() around line 55 of
modules/calib3d/src/solvepnp.cpp version 2.4.9)
- The P3P algorithm requires image points to be in an array of shape (N,1,2) due
to its calling of cv::undistortPoints (around line 75 of modules/calib3d/src/solvepnp.cpp version 2.4.9)
which requires 2-channel information.
- Thus, given some data D = np.array(...) where D.shape = (N,M), in order to use a subset of
it as, e.g., imagePoints, one must effectively copy it into a new array: imagePoints =
np.ascontiguousarray(D[:,:2]).reshape((N,1,2))
*/
CV_EXPORTS_W bool solvePnP( InputArray objectPoints, InputArray imagePoints,
InputArray cameraMatrix, InputArray distCoeffs,

14
modules/calib3d/perf/perf_pnp.cpp
View File

@ -19,8 +19,8 @@ typedef perf::TestBaseWithParam<int> PointsNum;
PERF_TEST_P(PointsNum_Algo, solvePnP,
testing::Combine(
testing::Values(4, 3*9, 7*13), //TODO: find why results on 4 points are too unstable
testing::Values((int)SOLVEPNP_ITERATIVE, (int)SOLVEPNP_EPNP)
testing::Values(5, 3*9, 7*13), //TODO: find why results on 4 points are too unstable
testing::Values((int)SOLVEPNP_ITERATIVE, (int)SOLVEPNP_EPNP, (int)SOLVEPNP_UPNP, (int)SOLVEPNP_DLS)
)
)
{
@ -64,13 +64,15 @@ PERF_TEST_P(PointsNum_Algo, solvePnP,
PERF_TEST_P(PointsNum_Algo, solvePnPSmallPoints,
testing::Combine(
testing::Values(4), //TODO: find why results on 4 points are too unstable
testing::Values((int)SOLVEPNP_P3P, (int)SOLVEPNP_DLS, (int)SOLVEPNP_UPNP)
testing::Values(5),
testing::Values((int)SOLVEPNP_P3P, (int)SOLVEPNP_EPNP, (int)SOLVEPNP_DLS, (int)SOLVEPNP_UPNP)
)
)
{
int pointsNum = get<0>(GetParam());
pnpAlgo algo = get<1>(GetParam());
if( algo == SOLVEPNP_P3P )
pointsNum = 4;
vector<Point2f> points2d(pointsNum);
vector<Point3f> points3d(pointsNum);
@ -92,7 +94,7 @@ PERF_TEST_P(PointsNum_Algo, solvePnPSmallPoints,
//add noise
Mat noise(1, (int)points2d.size(), CV_32FC2);
randu(noise, 0, 0.01);
randu(noise, -0.001, 0.001);
add(points2d, noise, points2d);
declare.in(points3d, points2d);
@ -107,7 +109,7 @@ PERF_TEST_P(PointsNum_Algo, solvePnPSmallPoints,
SANITY_CHECK(tvec, 1e-2);
}
PERF_TEST_P(PointsNum, DISABLED_SolvePnPRansac, testing::Values(4, 3*9, 7*13))
PERF_TEST_P(PointsNum, DISABLED_SolvePnPRansac, testing::Values(5, 3*9, 7*13))
{
int count = GetParam();

5
modules/calib3d/src/calibration.cpp
View File

@ -1595,7 +1595,10 @@ void cvCalibrationMatrixValues( const CvMat *calibMatr, CvSize imgSize,
my = imgHeight / apertureHeight;
} else {
mx = 1.0;
my = *pasp;
if(pasp)
my = *pasp;
else
my = 1.0;
}
/* Calculate fovx and fovy. */

21
modules/calib3d/src/epnp.cpp
View File

@ -2,7 +2,10 @@
#include "precomp.hpp"
#include "epnp.h"
epnp::epnp(const cv::Mat& cameraMatrix, const cv::Mat& opoints, const cv::Mat& ipoints)
namespace cv
{
epnp::epnp(const Mat& cameraMatrix, const Mat& opoints, const Mat& ipoints)
{
if (cameraMatrix.depth() == CV_32F)
init_camera_parameters<float>(cameraMatrix);
@ -17,14 +20,14 @@ epnp::epnp(const cv::Mat& cameraMatrix, const cv::Mat& opoints, const cv::Mat& i
if (opoints.depth() == ipoints.depth())
{
if (opoints.depth() == CV_32F)
init_points<cv::Point3f,cv::Point2f>(opoints, ipoints);
init_points<Point3f,Point2f>(opoints, ipoints);
else
init_points<cv::Point3d,cv::Point2d>(opoints, ipoints);
init_points<Point3d,Point2d>(opoints, ipoints);
}
else if (opoints.depth() == CV_32F)
init_points<cv::Point3f,cv::Point2d>(opoints, ipoints);
init_points<Point3f,Point2d>(opoints, ipoints);
else
init_points<cv::Point3d,cv::Point2f>(opoints, ipoints);
init_points<Point3d,Point2f>(opoints, ipoints);
alphas.resize(4 * number_of_correspondences);
pcs.resize(3 * number_of_correspondences);
@ -144,7 +147,7 @@ void epnp::compute_pcs(void)
}
}
void epnp::compute_pose(cv::Mat& R, cv::Mat& t)
void epnp::compute_pose(Mat& R, Mat& t)
{
choose_control_points();
compute_barycentric_coordinates();
@ -189,8 +192,8 @@ void epnp::compute_pose(cv::Mat& R, cv::Mat& t)
if (rep_errors[2] < rep_errors[1]) N = 2;
if (rep_errors[3] < rep_errors[N]) N = 3;
cv::Mat(3, 1, CV_64F, ts[N]).copyTo(t);
cv::Mat(3, 3, CV_64F, Rs[N]).copyTo(R);
Mat(3, 1, CV_64F, ts[N]).copyTo(t);
Mat(3, 3, CV_64F, Rs[N]).copyTo(R);
}
void epnp::copy_R_and_t(const double R_src[3][3], const double t_src[3],
@ -621,3 +624,5 @@ void epnp::qr_solve(CvMat * A, CvMat * b, CvMat * X)
pX[i] = (pb[i] - sum) / A2[i];
}
}
}

5
modules/calib3d/src/epnp.h
View File

@ -4,6 +4,9 @@
#include "precomp.hpp"
#include "opencv2/core/core_c.h"
namespace cv
{
class epnp {
public:
epnp(const cv::Mat& cameraMatrix, const cv::Mat& opoints, const cv::Mat& ipoints);
@ -78,4 +81,6 @@ class epnp {
double * A1, * A2;
};
}
#endif

18
modules/calib3d/src/fundam.cpp
View File

@ -70,20 +70,6 @@ static bool haveCollinearPoints( const Mat& m, int count )
}
template<typename T> int compressPoints( T* ptr, const uchar* mask, int mstep, int count )
{
int i, j;
for( i = j = 0; i < count; i++ )
if( mask[i*mstep] )
{
if( i > j )
ptr[j] = ptr[i];
j++;
}
return j;
}
class HomographyEstimatorCallback : public PointSetRegistrator::Callback
{
public:
@ -404,8 +390,8 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
if( result && npoints > 4 && method != RHO)
{
compressPoints( src.ptr<Point2f>(), tempMask.ptr<uchar>(), 1, npoints );
npoints = compressPoints( dst.ptr<Point2f>(), tempMask.ptr<uchar>(), 1, npoints );
compressElems( src.ptr<Point2f>(), tempMask.ptr<uchar>(), 1, npoints );
npoints = compressElems( dst.ptr<Point2f>(), tempMask.ptr<uchar>(), 1, npoints );
if( npoints > 0 )
{
Mat src1 = src.rowRange(0, npoints);

13
modules/calib3d/src/precomp.hpp
View File

@ -102,6 +102,19 @@ CV_EXPORTS Ptr<PointSetRegistrator> createRANSACPointSetRegistrator(const Ptr<Po
CV_EXPORTS Ptr<PointSetRegistrator> createLMeDSPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb,
int modelPoints, double confidence=0.99, int maxIters=1000 );
template<typename T> inline int compressElems( T* ptr, const uchar* mask, int mstep, int count )
{
int i, j;
for( i = j = 0; i < count; i++ )
if( mask[i*mstep] )
{
if( i > j )
ptr[j] = ptr[i];
j++;
}
return j;
}
}
#endif

101
modules/calib3d/src/solvepnp.cpp
View File

@ -48,41 +48,43 @@
#include "opencv2/calib3d/calib3d_c.h"
#include <iostream>
using namespace cv;
bool cv::solvePnP( InputArray _opoints, InputArray _ipoints,
InputArray _cameraMatrix, InputArray _distCoeffs,
OutputArray _rvec, OutputArray _tvec, bool useExtrinsicGuess, int flags )
namespace cv
{
bool solvePnP( InputArray _opoints, InputArray _ipoints,
InputArray _cameraMatrix, InputArray _distCoeffs,
OutputArray _rvec, OutputArray _tvec, bool useExtrinsicGuess, int flags )
{
Mat opoints = _opoints.getMat(), ipoints = _ipoints.getMat();
int npoints = std::max(opoints.checkVector(3, CV_32F), opoints.checkVector(3, CV_64F));
CV_Assert( npoints >= 0 && npoints == std::max(ipoints.checkVector(2, CV_32F), ipoints.checkVector(2, CV_64F)) );
_rvec.create(3, 1, CV_64F);
_tvec.create(3, 1, CV_64F);
Mat cameraMatrix = _cameraMatrix.getMat(), distCoeffs = _distCoeffs.getMat();
Mat cameraMatrix = Mat_<double>(_cameraMatrix.getMat()), distCoeffs = Mat_<double>(_distCoeffs.getMat());
if (flags == SOLVEPNP_EPNP)
if (flags == SOLVEPNP_EPNP || flags == SOLVEPNP_DLS || flags == SOLVEPNP_UPNP)
{
cv::Mat undistortedPoints;
cv::undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
Mat undistortedPoints;
undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
epnp PnP(cameraMatrix, opoints, undistortedPoints);
cv::Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
PnP.compute_pose(R, tvec);
cv::Rodrigues(R, rvec);
Rodrigues(R, rvec);
return true;
}
else if (flags == SOLVEPNP_P3P)
{
CV_Assert( npoints == 4);
cv::Mat undistortedPoints;
cv::undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
Mat undistortedPoints;
undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
p3p P3Psolver(cameraMatrix);
cv::Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
bool result = P3Psolver.solve(R, tvec, opoints, undistortedPoints);
if (result)
cv::Rodrigues(R, rvec);
Rodrigues(R, rvec);
return result;
}
else if (flags == SOLVEPNP_ITERATIVE)
@ -95,32 +97,32 @@ bool cv::solvePnP( InputArray _opoints, InputArray _ipoints,
&c_rvec, &c_tvec, useExtrinsicGuess );
return true;
}
else if (flags == SOLVEPNP_DLS)
/*else if (flags == SOLVEPNP_DLS)
{
cv::Mat undistortedPoints;
cv::undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
Mat undistortedPoints;
undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
dls PnP(opoints, undistortedPoints);
cv::Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
bool result = PnP.compute_pose(R, tvec);
if (result)
cv::Rodrigues(R, rvec);
Rodrigues(R, rvec);
return result;
}
else if (flags == SOLVEPNP_UPNP)
{
upnp PnP(cameraMatrix, opoints, ipoints);
cv::Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
double f = PnP.compute_pose(R, tvec);
cv::Rodrigues(R, rvec);
Rodrigues(R, rvec);
if(cameraMatrix.type() == CV_32F)
cameraMatrix.at<float>(0,0) = cameraMatrix.at<float>(1,1) = (float)f;
else
cameraMatrix.at<double>(0,0) = cameraMatrix.at<double>(1,1) = f;
return true;
}
}*/
else
CV_Error(CV_StsBadArg, "The flags argument must be one of SOLVEPNP_ITERATIVE, SOLVEPNP_P3P, SOLVEPNP_EPNP or SOLVEPNP_DLS");
return false;
@ -131,7 +133,7 @@ class PnPRansacCallback : public PointSetRegistrator::Callback
public:
PnPRansacCallback(Mat _cameraMatrix=Mat(3,3,CV_64F), Mat _distCoeffs=Mat(4,1,CV_64F), int _flags=cv::SOLVEPNP_ITERATIVE,
PnPRansacCallback(Mat _cameraMatrix=Mat(3,3,CV_64F), Mat _distCoeffs=Mat(4,1,CV_64F), int _flags=SOLVEPNP_ITERATIVE,
bool _useExtrinsicGuess=false, Mat _rvec=Mat(), Mat _tvec=Mat() )
: cameraMatrix(_cameraMatrix), distCoeffs(_distCoeffs), flags(_flags), useExtrinsicGuess(_useExtrinsicGuess),
rvec(_rvec), tvec(_tvec) {}
@ -142,12 +144,11 @@ public:
{
Mat opoints = _m1.getMat(), ipoints = _m2.getMat();
bool correspondence = cv::solvePnP( _m1, _m2, cameraMatrix, distCoeffs,
bool correspondence = solvePnP( _m1, _m2, cameraMatrix, distCoeffs,
rvec, tvec, useExtrinsicGuess, flags );
Mat _local_model;
cv::hconcat(rvec, tvec, _local_model);
hconcat(rvec, tvec, _local_model);
_local_model.copyTo(_model);
return correspondence;
@ -166,7 +167,7 @@ public:
Mat projpoints(count, 2, CV_32FC1);
cv::projectPoints(opoints, _rvec, _tvec, cameraMatrix, distCoeffs, projpoints);
projectPoints(opoints, _rvec, _tvec, cameraMatrix, distCoeffs, projpoints);
const Point2f* ipoints_ptr = ipoints.ptr<Point2f>();
const Point2f* projpoints_ptr = projpoints.ptr<Point2f>();
@ -175,7 +176,7 @@ public:
float* err = _err.getMat().ptr<float>();
for ( i = 0; i < count; ++i)
err[i] = (float)cv::norm( ipoints_ptr[i] - projpoints_ptr[i] );
err[i] = (float)norm( ipoints_ptr[i] - projpoints_ptr[i] );
}
@ -188,7 +189,7 @@ public:
Mat tvec;
};
bool cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
bool solvePnPRansac(InputArray _opoints, InputArray _ipoints,
InputArray _cameraMatrix, InputArray _distCoeffs,
OutputArray _rvec, OutputArray _tvec, bool useExtrinsicGuess,
int iterationsCount, float reprojectionError, double confidence,
@ -214,23 +215,45 @@ bool cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
Mat tvec = useExtrinsicGuess ? _tvec.getMat() : Mat(3, 1, CV_64FC1);
Mat cameraMatrix = _cameraMatrix.getMat(), distCoeffs = _distCoeffs.getMat();
Ptr<PointSetRegistrator::Callback> cb; // pointer to callback
cb = makePtr<PnPRansacCallback>( cameraMatrix, distCoeffs, flags, useExtrinsicGuess, rvec, tvec);
int model_points = 5;
int ransac_kernel_method = SOLVEPNP_EPNP;
int model_points = 4; // minimum of number of model points
if( flags == cv::SOLVEPNP_ITERATIVE ) model_points = 6;
else if( flags == cv::SOLVEPNP_UPNP ) model_points = 6;
else if( flags == cv::SOLVEPNP_EPNP ) model_points = 5;
if( npoints == 4 )
{
model_points = 4;
ransac_kernel_method = SOLVEPNP_P3P;
}
Ptr<PointSetRegistrator::Callback> cb; // pointer to callback
cb = makePtr<PnPRansacCallback>( cameraMatrix, distCoeffs, ransac_kernel_method, useExtrinsicGuess, rvec, tvec);
double param1 = reprojectionError; // reprojection error
double param2 = confidence; // confidence
int param3 = iterationsCount; // number maximum iterations
cv::Mat _local_model(3, 2, CV_64FC1);
cv::Mat _mask_local_inliers(1, opoints.rows, CV_8UC1);
Mat _local_model(3, 2, CV_64FC1);
Mat _mask_local_inliers(1, opoints.rows, CV_8UC1);
// call Ransac
int result = createRANSACPointSetRegistrator(cb, model_points, param1, param2, param3)->run(opoints, ipoints, _local_model, _mask_local_inliers);
int result = createRANSACPointSetRegistrator(cb, model_points,
param1, param2, param3)->run(opoints, ipoints, _local_model, _mask_local_inliers);
if( result > 0 )
{
vector<Point3d> opoints_inliers;
vector<Point2d> ipoints_inliers;
opoints.convertTo(opoints_inliers, CV_64F);
ipoints.convertTo(ipoints_inliers, CV_64F);
const uchar* mask = _mask_local_inliers.ptr<uchar>();
int npoints1 = compressElems(&opoints_inliers[0], mask, 1, npoints);
compressElems(&ipoints_inliers[0], mask, 1, npoints);
opoints_inliers.resize(npoints1);
ipoints_inliers.resize(npoints1);
result = solvePnP(opoints_inliers, ipoints_inliers, cameraMatrix,
distCoeffs, rvec, tvec, false, flags == SOLVEPNP_P3P ? SOLVEPNP_EPNP : flags) ? 1 : -1;
}
if( result <= 0 || _local_model.rows <= 0)
{
@ -260,3 +283,5 @@ bool cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
}
return true;
}
}

16
modules/core/include/opencv2/core/cvdef.h
View File

@ -480,16 +480,14 @@ CV_INLINE int cvRound( double value )
fistp t;
}
return t;
#elif defined _MSC_VER && defined _M_ARM && defined HAVE_TEGRA_OPTIMIZATION
TEGRA_ROUND(value);
#elif ((defined _MSC_VER && defined _M_ARM) || defined CV_ICC || defined __GNUC__) && defined HAVE_TEGRA_OPTIMIZATION
TEGRA_ROUND_DBL(value);
#elif defined CV_ICC || defined __GNUC__
# ifdef HAVE_TEGRA_OPTIMIZATION
TEGRA_ROUND(value);
# elif CV_VFP
# if CV_VFP
ARM_ROUND_DBL(value)
# else
# else
return (int)lrint(value);
# endif
# endif
#else
double intpart, fractpart;
fractpart = modf(value, &intpart);
@ -505,7 +503,9 @@ CV_INLINE int cvRound( double value )
/** @overload */
CV_INLINE int cvRound(float value)
{
#if CV_VFP && !defined HAVE_TEGRA_OPTIMIZATION
#if defined ANDROID && (defined CV_ICC || defined __GNUC__) && defined HAVE_TEGRA_OPTIMIZATION
TEGRA_ROUND_FLT(value);
#elif CV_VFP && !defined HAVE_TEGRA_OPTIMIZATION
ARM_ROUND_FLT(value)
#else
return cvRound((double)value);

45
modules/core/perf/perf_cvround.cpp Normal file
View File

@ -0,0 +1,45 @@
#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
template <typename T>
static void CvRoundMat(const cv::Mat & src, cv::Mat & dst)
{
for (int y = 0; y < dst.rows; ++y)
{
const T * sptr = src.ptr<T>(y);
int * dptr = dst.ptr<int>(y);
for (int x = 0; x < dst.cols; ++x)
dptr[x] = cvRound(sptr[x]);
}
}
PERF_TEST_P(Size_MatType, CvRound_Float,
testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
testing::Values(CV_32FC1, CV_64FC1)))
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam()), depth = CV_MAT_DEPTH(type);
cv::Mat src(size, type), dst(size, CV_32SC1);
declare.in(src, WARMUP_RNG).out(dst);
if (depth == CV_32F)
{
TEST_CYCLE()
CvRoundMat<float>(src, dst);
}
else if (depth == CV_64F)
{
TEST_CYCLE()
CvRoundMat<double>(src, dst);
}
SANITY_CHECK_NOTHING();
}

4
modules/core/src/lapack.cpp
View File

@ -725,11 +725,11 @@ template<typename T1, typename T2, typename T3> static void
MatrAXPY( int m, int n, const T1* x, int dx,
const T2* a, int inca, T3* y, int dy )
{
int i, j;
int i;
for( i = 0; i < m; i++, x += dx, y += dy )
{
T2 s = a[i*inca];
j=0;
int j = 0;
#if CV_ENABLE_UNROLLED
for(; j <= n - 4; j += 4 )
{

9
modules/imgproc/src/hough.cpp
View File

@ -90,11 +90,8 @@ HoughLinesStandard( const Mat& img, float rho, float theta,
int width = img.cols;
int height = img.rows;
if (max_theta < 0 || max_theta > CV_PI ) {
CV_Error( CV_StsBadArg, "max_theta must fall between 0 and pi" );
}
if (min_theta < 0 || min_theta > max_theta ) {
CV_Error( CV_StsBadArg, "min_theta must fall between 0 and max_theta" );
if (max_theta < min_theta ) {
CV_Error( CV_StsBadArg, "max_theta must be greater than min_theta" );
}
int numangle = cvRound((max_theta - min_theta) / theta);
int numrho = cvRound(((width + height) * 2 + 1) / rho);
@ -178,7 +175,7 @@ HoughLinesStandard( const Mat& img, float rho, float theta,
int n = cvFloor(idx*scale) - 1;
int r = idx - (n+1)*(numrho+2) - 1;
line.rho = (r - (numrho - 1)*0.5f) * rho;
line.angle = n * theta;
line.angle = static_cast<float>(min_theta) + n * theta;
lines.push_back(Vec2f(line.rho, line.angle));
}
}

15
modules/java/CMakeLists.txt
View File

@ -318,12 +318,7 @@ else(ANDROID)
COMMENT "Generating ${JAR_NAME}"
)
if(WIN32)
set(JAR_INSTALL_DIR java)
else(WIN32)
set(JAR_INSTALL_DIR share/OpenCV/java)
endif(WIN32)
install(FILES ${JAR_FILE} OPTIONAL DESTINATION ${JAR_INSTALL_DIR} COMPONENT java)
install(FILES ${JAR_FILE} OPTIONAL DESTINATION ${OPENCV_JAR_INSTALL_PATH} COMPONENT java)
endif(ANDROID)
# step 5: build native part
@ -398,12 +393,12 @@ if(ANDROID)
else()
if(NOT INSTALL_CREATE_DISTRIB)
ocv_install_target(${the_module} OPTIONAL EXPORT OpenCVModules
RUNTIME DESTINATION ${JAR_INSTALL_DIR} COMPONENT java
LIBRARY DESTINATION ${JAR_INSTALL_DIR} COMPONENT java)
RUNTIME DESTINATION ${OPENCV_JAR_INSTALL_PATH} COMPONENT java
LIBRARY DESTINATION ${OPENCV_JAR_INSTALL_PATH} COMPONENT java)
else()
ocv_install_target(${the_module} OPTIONAL EXPORT OpenCVModules
RUNTIME DESTINATION ${JAR_INSTALL_DIR}/${OpenCV_ARCH} COMPONENT java
LIBRARY DESTINATION ${JAR_INSTALL_DIR}/${OpenCV_ARCH} COMPONENT java)
RUNTIME DESTINATION ${OPENCV_JAR_INSTALL_PATH}/${OpenCV_ARCH} COMPONENT java
LIBRARY DESTINATION ${OPENCV_JAR_INSTALL_PATH}/${OpenCV_ARCH} COMPONENT java)
endif()
endif()

2
modules/java/generator/gen_java.py
View File

@ -75,7 +75,7 @@ const_ignore_list = (
"CV_CAP_PROP_CONVERT_RGB",
"CV_CAP_PROP_WHITE_BALANCE_BLUE_U",
"CV_CAP_PROP_RECTIFICATION",
"CV_CAP_PROP_MONOCROME",
"CV_CAP_PROP_MONOCHROME",
"CV_CAP_PROP_SHARPNESS",
"CV_CAP_PROP_AUTO_EXPOSURE",
"CV_CAP_PROP_GAMMA",

2
modules/objdetect/src/cascadedetect.cpp
View File

@ -1268,7 +1268,7 @@ void CascadeClassifierImpl::detectMultiScaleNoGrouping( InputArray _image, std::
scales.push_back((float)factor);
}
if( !featureEvaluator->setImage(gray, scales) )
if( scales.size() == 0 || !featureEvaluator->setImage(gray, scales) )
return;
// OpenCL code

17
modules/videoio/include/opencv2/videoio.hpp
View File

@ -110,8 +110,7 @@ enum { CAP_PROP_POS_MSEC =0,
CAP_PROP_CONVERT_RGB =16,
CAP_PROP_WHITE_BALANCE_BLUE_U =17,
CAP_PROP_RECTIFICATION =18,
CAP_PROP_MONOCROME =19,
CAP_PROP_MONOCHROME =CAP_PROP_MONOCROME,
CAP_PROP_MONOCHROME =19,
CAP_PROP_SHARPNESS =20,
CAP_PROP_AUTO_EXPOSURE =21, // DC1394: exposure control done by camera, user can adjust refernce level using this feature
CAP_PROP_GAMMA =22,
@ -217,7 +216,8 @@ enum { CAP_PROP_PVAPI_MULTICASTIP = 300, // ip for anable multicast ma
CAP_PROP_PVAPI_DECIMATIONHORIZONTAL = 302, // Horizontal sub-sampling of the image
CAP_PROP_PVAPI_DECIMATIONVERTICAL = 303, // Vertical sub-sampling of the image
CAP_PROP_PVAPI_BINNINGX = 304, // Horizontal binning factor
CAP_PROP_PVAPI_BINNINGY = 305 // Vertical binning factor
CAP_PROP_PVAPI_BINNINGY = 305, // Vertical binning factor
CAP_PROP_PVAPI_PIXELFORMAT = 306 // Pixel format
};
// PVAPI: FrameStartTriggerMode
@ -235,6 +235,17 @@ enum { CAP_PVAPI_DECIMATION_OFF = 1, // Off
CAP_PVAPI_DECIMATION_2OUTOF16 = 8 // 2 out of 16 decimation
};
// PVAPI: PixelFormat
enum { CAP_PVAPI_PIXELFORMAT_MONO8 = 1, // Mono8
CAP_PVAPI_PIXELFORMAT_MONO16 = 2, // Mono16
CAP_PVAPI_PIXELFORMAT_BAYER8 = 3, // Bayer8
CAP_PVAPI_PIXELFORMAT_BAYER16 = 4, // Bayer16
CAP_PVAPI_PIXELFORMAT_RGB24 = 5, // Rgb24
CAP_PVAPI_PIXELFORMAT_BGR24 = 6, // Bgr24
CAP_PVAPI_PIXELFORMAT_RGBA32 = 7, // Rgba32
CAP_PVAPI_PIXELFORMAT_BGRA32 = 8, // Bgra32
};
// Properties of cameras available through XIMEA SDK interface
enum { CAP_PROP_XI_DOWNSAMPLING = 400, // Change image resolution by binning or skipping.
CAP_PROP_XI_DATA_FORMAT = 401, // Output data format.

2
modules/videoio/include/opencv2/videoio/videoio_c.h
View File

@ -160,7 +160,6 @@ enum
CV_CAP_PROP_CONVERT_RGB =16,
CV_CAP_PROP_WHITE_BALANCE_BLUE_U =17,
CV_CAP_PROP_RECTIFICATION =18,
CV_CAP_PROP_MONOCROME =19,
CV_CAP_PROP_MONOCHROME =19,
CV_CAP_PROP_SHARPNESS =20,
CV_CAP_PROP_AUTO_EXPOSURE =21, // exposure control done by camera,
@ -227,6 +226,7 @@ enum
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.

6
modules/videoio/src/cap_dshow.cpp
View File

@ -2257,7 +2257,7 @@ int videoInput::getVideoPropertyFromCV(int cv_property){
case CV_CAP_PROP_GAMMA:
return VideoProcAmp_Gamma;
case CV_CAP_PROP_MONOCROME:
case CV_CAP_PROP_MONOCHROME:
return VideoProcAmp_ColorEnable;
case CV_CAP_PROP_WHITE_BALANCE_BLUE_U:
@ -3170,7 +3170,7 @@ double VideoCapture_DShow::getProperty(int propIdx) const
case CV_CAP_PROP_SATURATION:
case CV_CAP_PROP_SHARPNESS:
case CV_CAP_PROP_GAMMA:
case CV_CAP_PROP_MONOCROME:
case CV_CAP_PROP_MONOCHROME:
case CV_CAP_PROP_WHITE_BALANCE_BLUE_U:
case CV_CAP_PROP_BACKLIGHT:
case CV_CAP_PROP_GAIN:
@ -3273,7 +3273,7 @@ bool VideoCapture_DShow::setProperty(int propIdx, double propVal)
case CV_CAP_PROP_SATURATION:
case CV_CAP_PROP_SHARPNESS:
case CV_CAP_PROP_GAMMA:
case CV_CAP_PROP_MONOCROME:
case CV_CAP_PROP_MONOCHROME:
case CV_CAP_PROP_WHITE_BALANCE_BLUE_U:
case CV_CAP_PROP_BACKLIGHT:
case CV_CAP_PROP_GAIN:

146
modules/videoio/src/cap_pvapi.cpp
View File

@ -60,6 +60,7 @@
#ifdef WIN32
# include <io.h>
#else
# include <time.h>
# include <unistd.h>
#endif
@ -106,18 +107,14 @@ protected:
} tCamera;
IplImage *frame;
IplImage *grayframe;
tCamera Camera;
tPvErr Errcode;
bool monocrome;
};
CvCaptureCAM_PvAPI::CvCaptureCAM_PvAPI()
{
monocrome=false;
frame = NULL;
grayframe = NULL;
memset(&this->Camera, 0, sizeof(this->Camera));
}
@ -190,13 +187,6 @@ bool CvCaptureCAM_PvAPI::open( int index )
tPvUint32 frameWidth, frameHeight;
unsigned long maxSize;
// By Default, try to set the pixel format to Mono8. This can be changed later
// via calls to setProperty. Some colour cameras (i.e. the Manta line) have a default
// image mode of Bayer8, which is currently unsupported, so Mono8 is a safe bet for
// startup.
monocrome = (PvAttrEnumSet(Camera.Handle, "PixelFormat", "Mono8") == ePvErrSuccess);
PvAttrUint32Get(Camera.Handle, "Width", &frameWidth);
PvAttrUint32Get(Camera.Handle, "Height", &frameHeight);
@ -229,15 +219,9 @@ bool CvCaptureCAM_PvAPI::grabFrame()
IplImage* CvCaptureCAM_PvAPI::retrieveFrame(int)
{
if (PvCaptureWaitForFrameDone(Camera.Handle, &(Camera.Frame), 1000) == ePvErrSuccess)
{
if (!monocrome)
{
cvMerge(grayframe,grayframe,grayframe,NULL,frame);
return frame;
}
return grayframe;
return frame;
}
else return NULL;
}
@ -254,11 +238,6 @@ double CvCaptureCAM_PvAPI::getProperty( int property_id ) const
case CV_CAP_PROP_FRAME_HEIGHT:
PvAttrUint32Get(Camera.Handle, "Height", &nTemp);
return (double)nTemp;
case CV_CAP_PROP_MONOCROME:
if (monocrome)
return 1;
else
return 0;
case CV_CAP_PROP_EXPOSURE:
PvAttrUint32Get(Camera.Handle,"ExposureValue",&nTemp);
return (double)nTemp;
@ -312,6 +291,25 @@ double CvCaptureCAM_PvAPI::getProperty( int property_id ) const
case CV_CAP_PROP_PVAPI_BINNINGY:
PvAttrUint32Get(Camera.Handle,"BinningY",&nTemp);
return (double)nTemp;
case CV_CAP_PROP_PVAPI_PIXELFORMAT:
char pixelFormat[256];
PvAttrEnumGet(Camera.Handle, "PixelFormat", pixelFormat,256,NULL);
if (strcmp(pixelFormat, "Mono8")==0)
return 1.0;
else if (strcmp(pixelFormat, "Mono16")==0)
return 2.0;
else if (strcmp(pixelFormat, "Bayer8")==0)
return 3.0;
else if (strcmp(pixelFormat, "Bayer16")==0)
return 4.0;
else if (strcmp(pixelFormat, "Rgb24")==0)
return 5.0;
else if (strcmp(pixelFormat, "Bgr24")==0)
return 6.0;
else if (strcmp(pixelFormat, "Rgba32")==0)
return 7.0;
else if (strcmp(pixelFormat, "Bgra32")==0)
return 8.0;
}
return -1.0;
}
@ -359,21 +357,6 @@ bool CvCaptureCAM_PvAPI::setProperty( int property_id, double value )
break;
}
case CV_CAP_PROP_MONOCROME:
if (value==1)
{
char pixelFormat[256];
PvAttrEnumGet(Camera.Handle, "PixelFormat", pixelFormat,256,NULL);
if ((strcmp(pixelFormat, "Mono8")==0) || strcmp(pixelFormat, "Mono16")==0)
{
monocrome=true;
}
else
return false;
}
else
monocrome=false;
break;
case CV_CAP_PROP_EXPOSURE:
if ((PvAttrUint32Set(Camera.Handle,"ExposureValue",(tPvUint32)value)==ePvErrSuccess))
break;
@ -449,6 +432,51 @@ bool CvCaptureCAM_PvAPI::setProperty( int property_id, double value )
break;
else
return false;
case CV_CAP_PROP_PVAPI_PIXELFORMAT:
{
cv::String pixelFormat;
if (value==1)
pixelFormat = "Mono8";
else if (value==2)
pixelFormat = "Mono16";
else if (value==3)
pixelFormat = "Bayer8";
else if (value==4)
pixelFormat = "Bayer16";
else if (value==5)
pixelFormat = "Rgb24";
else if (value==6)
pixelFormat = "Bgr24";
else if (value==7)
pixelFormat = "Rgba32";
else if (value==8)
pixelFormat = "Bgra32";
else
return false;
if ((PvAttrEnumSet(Camera.Handle,"PixelFormat", pixelFormat.c_str())==ePvErrSuccess))
{
tPvUint32 currWidth;
tPvUint32 currHeight;
PvAttrUint32Get(Camera.Handle, "Width", &currWidth);
PvAttrUint32Get(Camera.Handle, "Height", &currHeight);
stopCapture();
// Reallocate Frames
if (!resizeCaptureFrame(currWidth, currHeight))
{
startCapture();
return false;
}
startCapture();
return true;
}
else
return false;
}
default:
return false;
}
@ -495,13 +523,6 @@ bool CvCaptureCAM_PvAPI::resizeCaptureFrame (int frameWidth, int frameHeight)
tPvUint32 sensorHeight;
tPvUint32 sensorWidth;
if (grayframe)
{
cvReleaseImage(&grayframe);
grayframe = NULL;
}
if (frame)
{
cvReleaseImage(&frame);
@ -544,28 +565,31 @@ bool CvCaptureCAM_PvAPI::resizeCaptureFrame (int frameWidth, int frameHeight)
PvAttrUint32Get(Camera.Handle, "TotalBytesPerFrame", &frameSize);
if (strcmp(pixelFormat, "Mono8")==0)
if ( (strcmp(pixelFormat, "Mono8")==0) || (strcmp(pixelFormat, "Bayer8")==0) )
{
frame = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_8U, 1);
frame->widthStep = (int)frameWidth;
Camera.Frame.ImageBufferSize = frameSize;
Camera.Frame.ImageBuffer = frame->imageData;
}
else if ( (strcmp(pixelFormat, "Mono16")==0) || (strcmp(pixelFormat, "Bayer16")==0) )
{
frame = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_16U, 1);
frame->widthStep = (int)frameWidth*2;
Camera.Frame.ImageBufferSize = frameSize;
Camera.Frame.ImageBuffer = frame->imageData;
}
else if ( (strcmp(pixelFormat, "Rgb24")==0) || (strcmp(pixelFormat, "Bgr24")==0) )
{
grayframe = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_8U, 1);
grayframe->widthStep = (int)frameWidth;
frame = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_8U, 3);
frame->widthStep = (int)frameWidth*3;
Camera.Frame.ImageBufferSize = frameSize;
Camera.Frame.ImageBuffer = grayframe->imageData;
Camera.Frame.ImageBuffer = frame->imageData;
}
else if (strcmp(pixelFormat, "Mono16")==0)
else if ( (strcmp(pixelFormat, "Rgba32")==0) || (strcmp(pixelFormat, "Bgra32")==0) )
{
grayframe = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_16U, 1);
grayframe->widthStep = (int)frameWidth;
frame = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_16U, 3);
frame->widthStep = (int)frameWidth*3;
Camera.Frame.ImageBufferSize = frameSize;
Camera.Frame.ImageBuffer = grayframe->imageData;
}
else if (strcmp(pixelFormat, "Bgr24")==0)
{
frame = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_8U, 3);
frame->widthStep = (int)frameWidth*3;
frame = cvCreateImage(cvSize((int)frameWidth, (int)frameHeight), IPL_DEPTH_8U, 4);
frame->widthStep = (int)frameWidth*4;
Camera.Frame.ImageBufferSize = frameSize;
Camera.Frame.ImageBuffer = frame->imageData;
}

34
platforms/winrt/setup_winrt.ps1
View File

@ -1,17 +1,29 @@
<#
Copyright © Microsoft Open Technologies, Inc.
All Rights Reserved
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
<#
Copyright (c) Microsoft Open Technologies, Inc.
All rights reserved.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
(3-clause BSD License)
THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED WARRANTIES OR CONDITIONS OF TITLE,
FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABLITY OR NON-INFRINGEMENT.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that
the following conditions are met:
See the Apache 2 License for the specific language governing permissions and limitations under the License.
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. Neither the name of the copyright holder 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 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 COPYRIGHT HOLDER 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.
#>
[CmdletBinding()]