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fixed ~300 warnings under windows (had to hack gtest a bit)

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pull/13383/head
Anatoly Baksheev 14 years ago
parent c67f1a2551
commit 1c18e5fef9
25 changed files with 87 additions and 46 deletions
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  1. 12
      OpenCVModule.cmake
  2. 4
      modules/calib3d/src/calibinit.cpp
  3. 10
      modules/calib3d/src/circlesgrid.cpp
  4. 7
      modules/calib3d/src/circlesgrid.hpp
  5. 4
      modules/calib3d/src/solvepnp.cpp
  6. 2
      modules/contrib/src/chamfermatching.cpp
  7. 2
      modules/core/test/test_math.cpp
  8. 2
      modules/features2d/src/blobdetector.cpp
  9. 3
      modules/flann/include/opencv2/flann/autotuned_index.h
  10. 3
      modules/flann/include/opencv2/flann/composite_index.h
  11. 12
      modules/gpu/CMakeLists.txt
  12. 14
      modules/gpu/CMakeLists.txt_cuda4.0
  13. 11
      modules/gpu/src/initialization.cpp
  14. 2
      modules/gpu/test/test_arithm.cpp
  15. 2
      modules/gpu/test/test_filters.cpp
  16. 2
      modules/haartraining/createsamples.cpp
  17. 12
      modules/imgproc/test/test_filter.cpp
  18. 4
      modules/ml/src/ertrees.cpp
  19. 4
      modules/ml/src/svm.cpp
  20. 2
      modules/objdetect/src/datamatrix.cpp
  21. 2
      modules/objdetect/src/dotdetector.cpp
  22. 4
      modules/objdetect/src/latentsvm.cpp
  23. 9
      modules/ts/include/opencv2/ts/ts_gtest.h
  24. 2
      modules/ts/src/ts_func.cpp
  25. 2
      modules/video/test/test_motiontemplates.cpp

12
OpenCVModule.cmake
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@ -2,9 +2,6 @@
macro(define_opencv_module name)
project(opencv_${name})
if (OPENCV_BUILD_SHARED_LIB)
add_definitions(-DCVAPI_EXPORTS)
endif()
include_directories("${CMAKE_CURRENT_SOURCE_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}/src"
@ -38,8 +35,13 @@ macro(define_opencv_module name)
set_target_properties(${the_target} PROPERTIES
VERSION ${OPENCV_VERSION}
SOVERSION ${OPENCV_SOVERSION}
OUTPUT_NAME "${the_target}${OPENCV_DLLVERSION}"
)
OUTPUT_NAME "${the_target}${OPENCV_DLLVERSION}"
)
if (OPENCV_BUILD_SHARED_LIB)
#add_definitions(-DCVAPI_EXPORTS)
set_target_properties(${the_target} PROPERTIES DEFINE_SYMBOL CVAPI_EXPORTS)
endif()
# Additional target properties
set_target_properties(${the_target} PROPERTIES

4
modules/calib3d/src/calibinit.cpp
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@ -1929,8 +1929,8 @@ void cv::drawChessboardCorners( InputOutputArray _image, Size patternSize,
bool cv::findCirclesGrid( const InputArray& _image, Size patternSize,
OutputArray _centers, int flags, const Ptr<FeatureDetector> &blobDetector )
{
bool isAsymmetricGrid = (flags & CALIB_CB_ASYMMETRIC_GRID);
bool isSymmetricGrid = (flags & CALIB_CB_SYMMETRIC_GRID);
bool isAsymmetricGrid = (bool)(flags & CALIB_CB_ASYMMETRIC_GRID);
bool isSymmetricGrid = (bool)(flags & CALIB_CB_SYMMETRIC_GRID);
CV_Assert(isAsymmetricGrid ^ isSymmetricGrid);
Mat image = _image.getMat();

10
modules/calib3d/src/circlesgrid.cpp
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@ -58,7 +58,7 @@ void CirclesGridClusterFinder::hierarchicalClustering(const vector<Point2f> poin
{
for(size_t j=i+1; j<points.size(); j++)
{
dists.at<float>(i, j) = norm(points[i] - points[j]);
dists.at<float>(i, j) = (float)norm(points[i] - points[j]);
distsMask.at<uchar>(i, j) = 255;
//TODO: use symmetry
distsMask.at<uchar>(j, i) = distsMask.at<uchar>(i, j);
@ -160,7 +160,7 @@ void CirclesGridClusterFinder::findCorners(const std::vector<cv::Point2f> &hull2
{
Point2f vec1 = hull2f[(i+1) % hull2f.size()] - hull2f[i % hull2f.size()];
Point2f vec2 = hull2f[(i-1 + static_cast<int>(hull2f.size())) % hull2f.size()] - hull2f[i % hull2f.size()];
float angle = vec1.ddot(vec2) / (norm(vec1) * norm(vec2));
float angle = (float)(vec1.ddot(vec2) / (norm(vec1) * norm(vec2)));
angles.push_back(angle);
}
@ -626,9 +626,9 @@ bool CirclesGridFinder::isDetectionCorrect()
}
size_t largeWidth = patternSize.width;
size_t largeHeight = ceil(patternSize.height / 2.);
size_t largeHeight = (size_t)ceil(patternSize.height / 2.);
size_t smallWidth = patternSize.width;
size_t smallHeight = floor(patternSize.height / 2.);
size_t smallHeight = (size_t)floor(patternSize.height / 2.);
size_t sw = smallWidth, sh = smallHeight, lw = largeWidth, lh = largeHeight;
if (largeHoles->size() != largeHeight)
@ -782,7 +782,7 @@ Mat CirclesGridFinder::rectifyGrid(Size detectedGridSize, const vector<Point2f>&
size_t CirclesGridFinder::findNearestKeypoint(Point2f pt) const
{
size_t bestIdx = -1;
size_t bestIdx = 0;
double minDist = std::numeric_limits<double>::max();
for (size_t i = 0; i < keypoints.size(); i++)
{

7
modules/calib3d/src/circlesgrid.hpp
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@ -52,12 +52,14 @@
class CirclesGridClusterFinder
{
CirclesGridClusterFinder& operator=(const CirclesGridClusterFinder&);
CirclesGridClusterFinder(const CirclesGridClusterFinder&);
public:
CirclesGridClusterFinder(bool _isAsymmetricGrid)
{
isAsymmetricGrid = _isAsymmetricGrid;
squareSize = 1.0f;
maxRectifiedDistance = squareSize / 2.0;
maxRectifiedDistance = (float)(squareSize / 2.0);
}
void findGrid(const std::vector<cv::Point2f> points, cv::Size patternSize, std::vector<cv::Point2f>& centers);
@ -209,6 +211,9 @@ private:
const cv::Size_<size_t> patternSize;
CirclesGridFinderParameters parameters;
CirclesGridFinder& operator=(const CirclesGridFinder&);
CirclesGridFinder(const CirclesGridFinder&);
};
#endif /* CIRCLESGRID_HPP_ */

4
modules/calib3d/src/solvepnp.cpp
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@ -224,6 +224,10 @@ namespace cv
tvec.copyTo(initTvec);
}
private:
PnPSolver& operator=(const PnPSolver&);
PnPSolver(const PnPSolver&);
const Mat& objectPoints;
const Mat& imagePoints;
const Parameters& parameters;

2
modules/contrib/src/chamfermatching.cpp
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@ -1113,7 +1113,7 @@ ChamferMatcher::Match* ChamferMatcher::Matching::localChamferDistance(Point offs
}
if (cnt_orientation>0) {
cost = beta*cost+alpha*(sum_orientation/(2*CV_PI))/cnt_orientation;
cost = (float)(beta*cost+alpha*(sum_orientation/(2*CV_PI))/cnt_orientation);
}
}

2
modules/core/test/test_math.cpp
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@ -1928,7 +1928,7 @@ void Core_SVDTest::run_func()
}
void Core_SVDTest::prepare_to_validation( int test_case_idx )
void Core_SVDTest::prepare_to_validation( int /*test_case_idx*/ )
{
Mat& input = test_mat[INPUT][0];
int depth = input.depth();

2
modules/features2d/src/blobdetector.cpp
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@ -299,7 +299,7 @@ void SimpleBlobDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoi
normalizer += centers[i][j].confidence;
}
sumPoint *= (1. / normalizer);
KeyPoint kpt(sumPoint, params.defaultKeypointSize);
KeyPoint kpt(sumPoint, (float)params.defaultKeypointSize);
keypoints.push_back(kpt);
}
}

3
modules/flann/include/opencv2/flann/autotuned_index.h
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@ -90,6 +90,9 @@ class AutotunedIndex : public NNIndex<ELEM_TYPE>
*/
const AutotunedIndexParams& index_params;
AutotunedIndex& operator=(const AutotunedIndex&);
AutotunedIndex(const AutotunedIndex&);
public:
AutotunedIndex(const Matrix<ELEM_TYPE>& inputData, const AutotunedIndexParams& params = AutotunedIndexParams() ) :

3
modules/flann/include/opencv2/flann/composite_index.h
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@ -77,7 +77,8 @@ class CompositeIndex : public NNIndex<ELEM_TYPE>
const IndexParams& index_params;
CompositeIndex& operator=(const CompositeIndex&);
CompositeIndex(const CompositeIndex&);
public:
CompositeIndex(const Matrix<ELEM_TYPE>& inputData, const CompositeIndexParams& params = CompositeIndexParams() ) :

12
modules/gpu/CMakeLists.txt
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@ -3,12 +3,9 @@ set(name "gpu")
set(the_target "opencv_${name}")
project(${the_target})
set(DEPS "opencv_core" "opencv_imgproc" "opencv_objdetect" "opencv_features2d" "opencv_flann" "opencv_calib3d") #"opencv_features2d" "opencv_flann" "opencv_objdetect" - only headers needed
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} opencv_gpu)
add_definitions(-DCVAPI_EXPORTS)
include_directories("${CMAKE_CURRENT_SOURCE_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}/src/cuda"
"${CMAKE_CURRENT_SOURCE_DIR}/src"
@ -70,6 +67,10 @@ if (HAVE_CUDA)
string(REPLACE "/EHsc-" "/EHs" CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE}")
string(REPLACE "/EHsc-" "/EHs" CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG}")
endif()
if (OPENCV_BUILD_SHARED_LIB)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xcompiler;-DCVAPI_EXPORTS")
endif()
CUDA_COMPILE(cuda_objs ${lib_cuda} ${ncv_cuda})
#CUDA_BUILD_CLEAN_TARGET()
@ -102,6 +103,11 @@ set_target_properties(${the_target} PROPERTIES
SOVERSION ${OPENCV_SOVERSION}
OUTPUT_NAME "${the_target}${OPENCV_DLLVERSION}"
)
if (OPENCV_BUILD_SHARED_LIB)
#add_definitions(-DCVAPI_EXPORTS)
set_target_properties(${the_target} PROPERTIES DEFINE_SYMBOL CVAPI_EXPORTS)
endif()
# Additional target properties
set_target_properties(${the_target} PROPERTIES

14
modules/gpu/CMakeLists.txt_cuda4.0
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@ -3,12 +3,9 @@ set(name "gpu")
set(the_target "opencv_${name}")
project(${the_target})
set(DEPS "opencv_core" "opencv_imgproc" "opencv_objdetect" "opencv_features2d" "opencv_flann" "opencv_calib3d") #"opencv_features2d" "opencv_flann" "opencv_objdetect" - only headers needed
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} opencv_gpu)
add_definitions(-DCVAPI_EXPORTS)
include_directories("${CMAKE_CURRENT_SOURCE_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}/src/cuda"
"${CMAKE_CURRENT_SOURCE_DIR}/src"
@ -71,6 +68,10 @@ if (HAVE_CUDA)
string(REPLACE "/EHsc-" "/EHs" CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG}")
endif()
if (OPENCV_BUILD_SHARED_LIB)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xcompiler;-DCVAPI_EXPORTS")
endif()
CUDA_COMPILE(cuda_objs ${lib_cuda} ${ncv_cuda})
#CUDA_BUILD_CLEAN_TARGET()
endif()
@ -102,13 +103,18 @@ set_target_properties(${the_target} PROPERTIES
SOVERSION ${OPENCV_SOVERSION}
OUTPUT_NAME "${the_target}${OPENCV_DLLVERSION}"
)
if (OPENCV_BUILD_SHARED_LIB)
#add_definitions(-DCVAPI_EXPORTS)
set_target_properties(${the_target} PROPERTIES DEFINE_SYMBOL CVAPI_EXPORTS)
endif()
# Additional target properties
set_target_properties(${the_target} PROPERTIES
DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib/"
RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/bin/"
INSTALL_NAME_DIR "${CMAKE_INSTALL_PREFIX}/lib"
INSTALL_NAME_DIR "${CMAKE_INSTALL_PREFIX}/lib"
)
# Add the required libraries for linking:

11
modules/gpu/src/initialization.cpp
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@ -77,6 +77,7 @@ CV_EXPORTS bool cv::gpu::TargetArchs::builtWith(cv::gpu::FeatureSet feature_set)
#if defined (HAVE_CUDA)
return ::compareToSet(CUDA_ARCH_FEATURES, feature_set, std::greater_equal<int>());
#else
(void)feature_set;
return false;
#endif
}
@ -93,6 +94,8 @@ CV_EXPORTS bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
#if defined (HAVE_CUDA)
return ::compareToSet(CUDA_ARCH_PTX, major * 10 + minor, std::equal_to<int>());
#else
(void)major;
(void)minor;
return false;
#endif
}
@ -103,6 +106,8 @@ CV_EXPORTS bool cv::gpu::TargetArchs::hasBin(int major, int minor)
#if defined (HAVE_CUDA)
return ::compareToSet(CUDA_ARCH_BIN, major * 10 + minor, std::equal_to<int>());
#else
(void)major;
(void)minor;
return false;
#endif
}
@ -114,6 +119,8 @@ CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
return ::compareToSet(CUDA_ARCH_PTX, major * 10 + minor,
std::less_equal<int>());
#else
(void)major;
(void)minor;
return false;
#endif
}
@ -132,6 +139,8 @@ CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
return ::compareToSet(CUDA_ARCH_PTX, major * 10 + minor,
std::greater_equal<int>());
#else
(void)major;
(void)minor;
return false;
#endif
}
@ -143,6 +152,8 @@ CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
return ::compareToSet(CUDA_ARCH_BIN, major * 10 + minor,
std::greater_equal<int>());
#else
(void)major;
(void)minor;
return false;
#endif
}

2
modules/gpu/test/test_arithm.cpp
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@ -56,7 +56,7 @@ using namespace gpu;
class CV_GpuArithmTest : public cvtest::BaseTest
{
public:
CV_GpuArithmTest(const char* test_name, const char* test_funcs){}
CV_GpuArithmTest(const char* /*test_name*/, const char* /*test_funcs*/){}
virtual ~CV_GpuArithmTest() {}
protected:

2
modules/gpu/test/test_filters.cpp
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@ -51,7 +51,7 @@ using namespace gpu;
class CV_GpuNppFilterTest : public cvtest::BaseTest
{
public:
CV_GpuNppFilterTest(const char* test_name, const char* test_funcs) {}
CV_GpuNppFilterTest(const char* /*test_name*/, const char* /*test_funcs*/) {}
virtual ~CV_GpuNppFilterTest() {}
protected:

2
modules/haartraining/createsamples.cpp
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@ -77,7 +77,7 @@ int main( int argc, char* argv[] )
int width = 24;
int height = 24;
srand(time(0));
srand((unsigned int)time(0));
if( argc == 1 )
{

12
modules/imgproc/test/test_filter.cpp
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@ -247,7 +247,7 @@ int CV_MorphologyBaseTest::prepare_test_case( int test_case_idx )
}
void CV_MorphologyBaseTest::prepare_to_validation( int test_case_idx )
void CV_MorphologyBaseTest::prepare_to_validation( int /*test_case_idx*/ )
{
Mat& src = test_mat[INPUT][0], &dst = test_mat[REF_OUTPUT][0];
Mat _ielement(element->nRows, element->nCols, CV_32S, element->values);
@ -422,7 +422,7 @@ void CV_FilterTest::run_func()
}
void CV_FilterTest::prepare_to_validation( int test_case_idx )
void CV_FilterTest::prepare_to_validation( int /*test_case_idx*/ )
{
cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].type(),
test_mat[INPUT][1], anchor, 0, BORDER_REPLICATE );
@ -539,7 +539,7 @@ void CV_SobelTest::run_func()
}
void CV_SobelTest::prepare_to_validation( int test_case_idx )
void CV_SobelTest::prepare_to_validation( int /*test_case_idx*/ )
{
Mat kernel = cvtest::calcSobelKernel2D( dx, dy, _aperture_size, 0 );
cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(),
@ -600,7 +600,7 @@ int CV_LaplaceTest::prepare_test_case( int test_case_idx )
}
void CV_LaplaceTest::prepare_to_validation( int test_case_idx )
void CV_LaplaceTest::prepare_to_validation( int /*test_case_idx*/ )
{
Mat kernel = cvtest::calcLaplaceKernel2D( _aperture_size );
cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(),
@ -703,7 +703,7 @@ int CV_BlurTest::prepare_test_case( int test_case_idx )
}
void CV_BlurTest::prepare_to_validation( int test_case_idx )
void CV_BlurTest::prepare_to_validation( int /*test_case_idx*/ )
{
Mat kernel(aperture_size, CV_64F);
kernel.setTo(Scalar::all(normalize ? 1./(aperture_size.width*aperture_size.height) : 1.));
@ -823,7 +823,7 @@ static Mat calcGaussianKernel2D( Size ksize, double sigma )
}
void CV_GaussianBlurTest::prepare_to_validation( int test_case_idx )
void CV_GaussianBlurTest::prepare_to_validation( int /*test_case_idx*/ )
{
Mat kernel = calcGaussianKernel2D( aperture_size, sigma );
cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(),

4
modules/ml/src/ertrees.cpp
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@ -1116,13 +1116,13 @@ CvDTreeSplit* CvForestERTree::find_split_cat_class( CvDTreeNode* node, int vi, f
if (var_class_mask->data.ptr[mask_class_idx])
{
lc[r]+=p;
lc[r]+=(int)p;
L+=p;
split->subset[var_class_idx >> 5] |= 1 << (var_class_idx & 31);
}
else
{
rc[r]+=p;
rc[r]+=(int)p;
R+=p;
}
}

4
modules/ml/src/svm.cpp
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@ -2112,9 +2112,9 @@ struct predict_body_svm {
cvGetRow( samples, &sample, i );
int r = (int)pointer->predict(&sample);
if (results)
results->data.fl[i] = r;
results->data.fl[i] = (float)r;
if (i == 0)
*result = r;
*result = (float)r;
}
}
};

2
modules/objdetect/src/datamatrix.cpp
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@ -253,7 +253,7 @@ static int decode(Sampler &sa, code &cc)
for (i = 0; i < 64; i++)
sum += sa.getpixel(1 + (i & 7), 1 + (i >> 3));
uint8 mean = sum / 64;
uint8 mean = (uint8)(sum / 64);
for (i = 0; i < 64; i++) {
b = (b << 1) + (sa.getpixel(pickup[i].x, pickup[i].y) <= mean);
if ((i & 7) == 7) {

2
modules/objdetect/src/dotdetector.cpp
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@ -647,7 +647,7 @@ void DOTDetector::save( const std::string& filename ) const
}
}
void DOTDetector::train( const string& _baseDirName, const TrainParams& _trainParams, bool _isAddImageAndGradientMask )
void DOTDetector::train( const string& _baseDirName, const TrainParams& _trainParams, bool /*_isAddImageAndGradientMask*/ )
{
clear();

4
modules/objdetect/src/latentsvm.cpp
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@ -272,7 +272,7 @@ int searchObjectThreshold(const CvLSVMFeaturePyramid *H,
float scoreThreshold,
CvPoint **points, int **levels, int *kPoints,
float **score, CvPoint ***partsDisplacement,
int numThreads)
int /*numThreads*/)
{
int opResult;
@ -551,7 +551,7 @@ int searchObjectThresholdSomeComponents(const CvLSVMFeaturePyramid *H,
const float *b, float scoreThreshold,
CvPoint **points, CvPoint **oppPoints,
float **score, int *kPoints,
int numThreads)
int /*numThreads*/)
{
int error = 0;
int i, j, s, f, componentIndex;

9
modules/ts/include/opencv2/ts/ts_gtest.h
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@ -1652,15 +1652,18 @@ inline bool operator!=(const GTEST_10_TUPLE_(T)& t,
#ifdef _MSC_VER
#if GTEST_LINKED_AS_SHARED_LIBRARY
#define GTEST_API_ __declspec(dllimport)
#define GTEST_API_
#define GTEST_API_2 __declspec(dllimport)
#elif GTEST_CREATE_SHARED_LIBRARY
#define GTEST_API_ __declspec(dllexport)
#define GTEST_API_2 GTEST_API_
#endif
#endif // _MSC_VER
#ifndef GTEST_API_
#define GTEST_API_
#define GTEST_API_2
#endif
namespace testing {
@ -8378,7 +8381,7 @@ namespace testing {
namespace internal {
// Protects copying of all linked_ptr objects.
GTEST_API_ GTEST_DECLARE_STATIC_MUTEX_(g_linked_ptr_mutex);
GTEST_API_2 GTEST_DECLARE_STATIC_MUTEX_(g_linked_ptr_mutex);
// This is used internally by all instances of linked_ptr<>. It needs to be
// a non-template class because different types of linked_ptr<> can refer to
@ -15359,7 +15362,7 @@ class GTEST_API_ TestPartResultArray {
};
// This interface knows how to report a test part result.
class TestPartResultReporterInterface {
class GTEST_API_ TestPartResultReporterInterface {
public:
virtual ~TestPartResultReporterInterface() {}

2
modules/ts/src/ts_func.cpp
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@ -2712,7 +2712,7 @@ Mat calcLaplaceKernel2D( int aperture_size )
for( int i = 0; i < ksize; i++ )
for( int j = 0; j < ksize; j++ )
kernel.at<float>(i, j) = kx[j]*ky[i] + kx[i]*ky[j];
kernel.at<float>(i, j) = (float)(kx[j]*ky[i] + kx[i]*ky[j]);
return kernel;
}

2
modules/video/test/test_motiontemplates.cpp
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@ -177,7 +177,7 @@ void CV_UpdateMHITest::run_func()
void CV_UpdateMHITest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat m0 = test_mat[REF_INPUT_OUTPUT][0];
//CvMat m0 = test_mat[REF_INPUT_OUTPUT][0];
test_updateMHI( test_mat[INPUT][0], test_mat[REF_INPUT_OUTPUT][0], timestamp, duration );
}

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