Fixing some static analysis issues

diff --git a/3rdparty/protobuf/src/google/protobuf/io/coded_stream.cc b/3rdparty/protobuf/src/google/protobuf/io/coded_stream.cc
index 08394ca..348ecec 100644 (file)
--- a/3rdparty/protobuf/src/google/protobuf/io/coded_stream.cc
+++ b/3rdparty/protobuf/src/google/protobuf/io/coded_stream.cc
@@ -577,7 +577,7 @@ std::pair<uint64, bool> CodedInputStream::ReadVarint64Fallback() {
     buffer_ = p.second;
     return std::make_pair(temp, true);
   } else {
-    uint64 temp;
+    uint64 temp = 0;
     bool success = ReadVarint64Slow(&temp);
     return std::make_pair(temp, success);
   }

diff --git a/cmake/OpenCVCompilerOptions.cmake b/cmake/OpenCVCompilerOptions.cmake
index d2a1098..8358b56 100644 (file)
--- a/cmake/OpenCVCompilerOptions.cmake
+++ b/cmake/OpenCVCompilerOptions.cmake
@@ -127,6 +127,8 @@ if(CMAKE_COMPILER_IS_GNUCXX)
   add_extra_compiler_option(-Wpointer-arith)
   add_extra_compiler_option(-Wshadow)
   add_extra_compiler_option(-Wsign-promo)
+  add_extra_compiler_option(-Wuninitialized)
+  add_extra_compiler_option(-Winit-self)
 
   if(ENABLE_NOISY_WARNINGS)
     add_extra_compiler_option(-Wcast-align)

diff --git a/modules/calib3d/src/calibration.cpp b/modules/calib3d/src/calibration.cpp
index 7d52d1e..4234687 100644 (file)
--- a/modules/calib3d/src/calibration.cpp
+++ b/modules/calib3d/src/calibration.cpp
@@ -252,7 +252,7 @@ CV_IMPL int cvRodrigues2( const CvMat* src, CvMat* dst, CvMat* jacobian )
 {
     int depth, elem_size;
     int i, k;
-    double J[27];
+    double J[27] = {0};
     CvMat matJ = cvMat( 3, 9, CV_64F, J );
 
     if( !CV_IS_MAT(src) )
@@ -1189,7 +1189,7 @@ CV_IMPL void cvInitIntrinsicParams2D( const CvMat* objectPoints,
 
     int i, j, pos, nimages, ni = 0;
     double a[9] = { 0, 0, 0, 0, 0, 0, 0, 0, 1 };
-    double H[9], f[2];
+    double H[9] = {0}, f[2] = {0};
     CvMat _a = cvMat( 3, 3, CV_64F, a );
     CvMat matH = cvMat( 3, 3, CV_64F, H );
     CvMat _f = cvMat( 2, 1, CV_64F, f );
@@ -1731,7 +1731,7 @@ void cvCalibrationMatrixValues( const CvMat *calibMatr, CvSize imgSize,
     if(!CV_IS_MAT(calibMatr))
         CV_Error(CV_StsUnsupportedFormat, "Input parameters must be a matrices!");
 
-    double dummy;
+    double dummy = .0;
     Point2d pp;
     cv::calibrationMatrixValues(cvarrToMat(calibMatr), imgSize, apertureWidth, apertureHeight,
             fovx ? *fovx : dummy,
@@ -2281,7 +2281,7 @@ void cvStereoRectify( const CvMat* _cameraMatrix1, const CvMat* _cameraMatrix2,
                       CvMat* matQ, int flags, double alpha, CvSize newImgSize,
                       CvRect* roi1, CvRect* roi2 )
 {
-    double _om[3], _t[3], _uu[3]={0,0,0}, _r_r[3][3], _pp[3][4];
+    double _om[3], _t[3] = {0}, _uu[3]={0,0,0}, _r_r[3][3], _pp[3][4];
     double _ww[3], _wr[3][3], _z[3] = {0,0,0}, _ri[3][3];
     cv::Rect_<float> inner1, inner2, outer1, outer2;
 
@@ -2574,7 +2574,7 @@ CV_IMPL int cvStereoRectifyUncalibrated(
 
     int i, j, npoints;
     double cx, cy;
-    double u[9], v[9], w[9], f[9], h1[9], h2[9], h0[9], e2[3];
+    double u[9], v[9], w[9], f[9], h1[9], h2[9], h0[9], e2[3] = {0};
     CvMat E2 = cvMat( 3, 1, CV_64F, e2 );
     CvMat U = cvMat( 3, 3, CV_64F, u );
     CvMat V = cvMat( 3, 3, CV_64F, v );
@@ -2722,7 +2722,7 @@ CV_IMPL int cvStereoRectifyUncalibrated(
     cvPerspectiveTransform( _m1, _m1, &H0 );
     cvPerspectiveTransform( _m2, _m2, &H2 );
     CvMat A = cvMat( 1, npoints, CV_64FC3, lines1 ), BxBy, B;
-    double x[3];
+    double x[3] = {0};
     CvMat X = cvMat( 3, 1, CV_64F, x );
     cvConvertPointsHomogeneous( _m1, &A );
     cvReshape( &A, &A, 1, npoints );

diff --git a/modules/calib3d/src/dls.h b/modules/calib3d/src/dls.h
index 4b1f6f4..f03bee4 100644 (file)
--- a/modules/calib3d/src/dls.h
+++ b/modules/calib3d/src/dls.h
@@ -720,7 +720,7 @@ private:
 
 public:
     EigenvalueDecomposition()
-    : n(0) { }
+    : n(0), cdivr(0), cdivi(0), d(0), e(0), ort(0), V(0), H(0) {}
 
     // Initializes & computes the Eigenvalue Decomposition for a general matrix
     // given in src. This function is a port of the EigenvalueSolver in JAMA,

diff --git a/modules/calib3d/src/epnp.cpp b/modules/calib3d/src/epnp.cpp
index ec7dfe0..55971a3 100644 (file)
--- a/modules/calib3d/src/epnp.cpp
+++ b/modules/calib3d/src/epnp.cpp
@@ -60,7 +60,7 @@ void epnp::choose_control_points(void)
   // Take C1, C2, and C3 from PCA on the reference points:
   CvMat * PW0 = cvCreateMat(number_of_correspondences, 3, CV_64F);
 
-  double pw0tpw0[3 * 3], dc[3], uct[3 * 3];
+  double pw0tpw0[3 * 3], dc[3] = {0}, uct[3 * 3] = {0};
   CvMat PW0tPW0 = cvMat(3, 3, CV_64F, pw0tpw0);
   CvMat DC      = cvMat(3, 1, CV_64F, dc);
   CvMat UCt     = cvMat(3, 3, CV_64F, uct);
@@ -240,7 +240,7 @@ void epnp::estimate_R_and_t(double R[3][3], double t[3])
     pw0[j] /= number_of_correspondences;
   }
 
-  double abt[3 * 3], abt_d[3], abt_u[3 * 3], abt_v[3 * 3];
+  double abt[3 * 3] = {0}, abt_d[3], abt_u[3 * 3], abt_v[3 * 3];
   CvMat ABt   = cvMat(3, 3, CV_64F, abt);
   CvMat ABt_D = cvMat(3, 1, CV_64F, abt_d);
   CvMat ABt_U = cvMat(3, 3, CV_64F, abt_u);
@@ -332,7 +332,7 @@ double epnp::reprojection_error(const double R[3][3], const double t[3])
 void epnp::find_betas_approx_1(const CvMat * L_6x10, const CvMat * Rho,
              double * betas)
 {
-  double l_6x4[6 * 4], b4[4];
+  double l_6x4[6 * 4], b4[4] = {0};
   CvMat L_6x4 = cvMat(6, 4, CV_64F, l_6x4);
   CvMat B4    = cvMat(4, 1, CV_64F, b4);
 
@@ -364,7 +364,7 @@ void epnp::find_betas_approx_1(const CvMat * L_6x10, const CvMat * Rho,
 void epnp::find_betas_approx_2(const CvMat * L_6x10, const CvMat * Rho,
              double * betas)
 {
-  double l_6x3[6 * 3], b3[3];
+  double l_6x3[6 * 3], b3[3] = {0};
   CvMat L_6x3  = cvMat(6, 3, CV_64F, l_6x3);
   CvMat B3     = cvMat(3, 1, CV_64F, b3);
 
@@ -396,7 +396,7 @@ void epnp::find_betas_approx_2(const CvMat * L_6x10, const CvMat * Rho,
 void epnp::find_betas_approx_3(const CvMat * L_6x10, const CvMat * Rho,
              double * betas)
 {
-  double l_6x5[6 * 5], b5[5];
+  double l_6x5[6 * 5], b5[5] = {0};
   CvMat L_6x5 = cvMat(6, 5, CV_64F, l_6x5);
   CvMat B5    = cvMat(5, 1, CV_64F, b5);
 
@@ -506,7 +506,7 @@ void epnp::gauss_newton(const CvMat * L_6x10, const CvMat * Rho, double betas[4]
 {
   const int iterations_number = 5;
 
-  double a[6*4], b[6], x[4];
+  double a[6*4], b[6], x[4] = {0};
   CvMat A = cvMat(6, 4, CV_64F, a);
   CvMat B = cvMat(6, 1, CV_64F, b);
   CvMat X = cvMat(4, 1, CV_64F, x);

diff --git a/modules/calib3d/src/fundam.cpp b/modules/calib3d/src/fundam.cpp
index 63bdff2..c9d8e99 100644 (file)
--- a/modules/calib3d/src/fundam.cpp
+++ b/modules/calib3d/src/fundam.cpp
@@ -423,7 +423,7 @@ namespace cv
 
 static int run7Point( const Mat& _m1, const Mat& _m2, Mat& _fmatrix )
 {
-    double a[7*9], w[7], u[9*9], v[9*9], c[4], r[3];
+    double a[7*9], w[7], u[9*9], v[9*9], c[4], r[3] = {0};
     double* f1, *f2;
     double t0, t1, t2;
     Mat A( 7, 9, CV_64F, a );
@@ -766,7 +766,7 @@ void cv::computeCorrespondEpilines( InputArray _points, int whichImage,
 {
     CV_INSTRUMENT_REGION()
 
-    double f[9];
+    double f[9] = {0};
     Mat tempF(3, 3, CV_64F, f);
     Mat points = _points.getMat(), F = _Fmat.getMat();
 

diff --git a/modules/calib3d/src/rho.cpp b/modules/calib3d/src/rho.cpp
index 728c3f6..c9a0a9b 100644 (file)
--- a/modules/calib3d/src/rho.cpp
+++ b/modules/calib3d/src/rho.cpp
@@ -556,7 +556,55 @@ unsigned rhoHest(Ptr<RHO_HEST> p,       /* Homography estimation context. */
  */
 
 RHO_HEST_REFC::RHO_HEST_REFC() : initialized(0){
+    arg.src = 0;
+    arg.dst = 0;
+    arg.inl = 0;
+    arg.N = 0;
+    arg.maxD = 0;
+    arg.maxI = 0;
+    arg.rConvg = 0;
+    arg.cfd = 0;
+    arg.minInl = 0;
+    arg.beta = 0;
+    arg.flags = 0;
+    arg.guessH = 0;
+    arg.finalH = 0;
+
+    ctrl.i = 0;
+    ctrl.phNum = 0;
+    ctrl.phEndI = 0;
+    ctrl.phEndFpI = 0;
+    ctrl.phMax = 0;
+    ctrl.phNumInl = 0;
+    ctrl.numModels = 0;
+    ctrl.smpl = 0;
+
+    curr.pkdPts = 0;
+    curr.H = 0;
+    curr.inl = 0;
+    curr.numInl = 0;
+
+    best.H = 0;
+    best.inl = 0;
+    best.numInl = 0;
+
+    nr.size = 0;
+    nr.beta = 0;
+
+    eval.t_M = 0;
+    eval.m_S = 0;
+    eval.epsilon = 0;
+    eval.delta = 0;
+    eval.A = 0;
+    eval.Ntested = 0;
+    eval.Ntestedtotal = 0;
+    eval.good = 0;
+    eval.lambdaAccept = 0;
+    eval.lambdaReject = 0;
 
+    lm.JtJ = 0;
+    lm.tmp1 = 0;
+    lm.Jte = 0;
 }
 
 /**

diff --git a/modules/calib3d/src/upnp.cpp b/modules/calib3d/src/upnp.cpp
index 1054e0b..7074d00 100644 (file)
--- a/modules/calib3d/src/upnp.cpp
+++ b/modules/calib3d/src/upnp.cpp
@@ -175,7 +175,7 @@ void upnp::estimate_R_and_t(double R[3][3], double t[3])
     pw0[j] /= number_of_correspondences;
   }
 
-  double abt[3 * 3], abt_d[3], abt_u[3 * 3], abt_v[3 * 3];
+  double abt[3 * 3] = {0}, abt_d[3], abt_u[3 * 3], abt_v[3 * 3];
   Mat ABt   = Mat(3, 3, CV_64F, abt);
   Mat ABt_D = Mat(3, 1, CV_64F, abt_d);
   Mat ABt_U = Mat(3, 3, CV_64F, abt_u);
@@ -575,7 +575,7 @@ void upnp::gauss_newton(const Mat * L_6x12, const Mat * Rho, double betas[4], do
 {
   const int iterations_number = 50;
 
-  double a[6*4], b[6], x[4];
+  double a[6*4], b[6], x[4] = {0};
   Mat * A = new Mat(6, 4, CV_64F, a);
   Mat * B = new Mat(6, 1, CV_64F, b);
   Mat * X = new Mat(4, 1, CV_64F, x);

diff --git a/modules/core/include/opencv2/core/hal/intrin_sse.hpp b/modules/core/include/opencv2/core/hal/intrin_sse.hpp
index 55bc67f..476178d 100644 (file)
--- a/modules/core/include/opencv2/core/hal/intrin_sse.hpp
+++ b/modules/core/include/opencv2/core/hal/intrin_sse.hpp
@@ -63,7 +63,7 @@ struct v_uint8x16
     typedef uchar lane_type;
     enum { nlanes = 16 };
 
-    v_uint8x16() {}
+    v_uint8x16() : val(_mm_setzero_si128()) {}
     explicit v_uint8x16(__m128i v) : val(v) {}
     v_uint8x16(uchar v0, uchar v1, uchar v2, uchar v3, uchar v4, uchar v5, uchar v6, uchar v7,
                uchar v8, uchar v9, uchar v10, uchar v11, uchar v12, uchar v13, uchar v14, uchar v15)
@@ -86,7 +86,7 @@ struct v_int8x16
     typedef schar lane_type;
     enum { nlanes = 16 };
 
-    v_int8x16() {}
+    v_int8x16() : val(_mm_setzero_si128()) {}
     explicit v_int8x16(__m128i v) : val(v) {}
     v_int8x16(schar v0, schar v1, schar v2, schar v3, schar v4, schar v5, schar v6, schar v7,
               schar v8, schar v9, schar v10, schar v11, schar v12, schar v13, schar v14, schar v15)
@@ -109,7 +109,7 @@ struct v_uint16x8
     typedef ushort lane_type;
     enum { nlanes = 8 };
 
-    v_uint16x8() {}
+    v_uint16x8() : val(_mm_setzero_si128()) {}
     explicit v_uint16x8(__m128i v) : val(v) {}
     v_uint16x8(ushort v0, ushort v1, ushort v2, ushort v3, ushort v4, ushort v5, ushort v6, ushort v7)
     {
@@ -129,7 +129,7 @@ struct v_int16x8
     typedef short lane_type;
     enum { nlanes = 8 };
 
-    v_int16x8() {}
+    v_int16x8() : val(_mm_setzero_si128()) {}
     explicit v_int16x8(__m128i v) : val(v) {}
     v_int16x8(short v0, short v1, short v2, short v3, short v4, short v5, short v6, short v7)
     {
@@ -148,7 +148,7 @@ struct v_uint32x4
     typedef unsigned lane_type;
     enum { nlanes = 4 };
 
-    v_uint32x4() {}
+    v_uint32x4() : val(_mm_setzero_si128()) {}
     explicit v_uint32x4(__m128i v) : val(v) {}
     v_uint32x4(unsigned v0, unsigned v1, unsigned v2, unsigned v3)
     {
@@ -166,7 +166,7 @@ struct v_int32x4
     typedef int lane_type;
     enum { nlanes = 4 };
 
-    v_int32x4() {}
+    v_int32x4() : val(_mm_setzero_si128()) {}
     explicit v_int32x4(__m128i v) : val(v) {}
     v_int32x4(int v0, int v1, int v2, int v3)
     {
@@ -184,7 +184,7 @@ struct v_float32x4
     typedef float lane_type;
     enum { nlanes = 4 };
 
-    v_float32x4() {}
+    v_float32x4() : val(_mm_setzero_ps()) {}
     explicit v_float32x4(__m128 v) : val(v) {}
     v_float32x4(float v0, float v1, float v2, float v3)
     {
@@ -202,7 +202,7 @@ struct v_uint64x2
     typedef uint64 lane_type;
     enum { nlanes = 2 };
 
-    v_uint64x2() {}
+    v_uint64x2() : val(_mm_setzero_si128()) {}
     explicit v_uint64x2(__m128i v) : val(v) {}
     v_uint64x2(uint64 v0, uint64 v1)
     {
@@ -222,7 +222,7 @@ struct v_int64x2
     typedef int64 lane_type;
     enum { nlanes = 2 };
 
-    v_int64x2() {}
+    v_int64x2() : val(_mm_setzero_si128()) {}
     explicit v_int64x2(__m128i v) : val(v) {}
     v_int64x2(int64 v0, int64 v1)
     {
@@ -242,7 +242,7 @@ struct v_float64x2
     typedef double lane_type;
     enum { nlanes = 2 };
 
-    v_float64x2() {}
+    v_float64x2() : val(_mm_setzero_pd()) {}
     explicit v_float64x2(__m128d v) : val(v) {}
     v_float64x2(double v0, double v1)
     {
@@ -261,7 +261,7 @@ struct v_float16x4
     typedef short lane_type;
     enum { nlanes = 4 };
 
-    v_float16x4() {}
+    v_float16x4() : val(_mm_setzero_si128()) {}
     explicit v_float16x4(__m128i v) : val(v) {}
     v_float16x4(short v0, short v1, short v2, short v3)
     {

diff --git a/modules/core/include/opencv2/core/mat.inl.hpp b/modules/core/include/opencv2/core/mat.inl.hpp
index 332accf..3006a1f 100644 (file)
--- a/modules/core/include/opencv2/core/mat.inl.hpp
+++ b/modules/core/include/opencv2/core/mat.inl.hpp
@@ -397,13 +397,13 @@ inline _InputOutputArray::_InputOutputArray(const cuda::HostMem& cuda_mem)
 inline
 Mat::Mat()
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {}
 
 inline
 Mat::Mat(int _rows, int _cols, int _type)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_rows, _cols, _type);
 }
@@ -411,7 +411,7 @@ Mat::Mat(int _rows, int _cols, int _type)
 inline
 Mat::Mat(int _rows, int _cols, int _type, const Scalar& _s)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_rows, _cols, _type);
     *this = _s;
@@ -420,7 +420,7 @@ Mat::Mat(int _rows, int _cols, int _type, const Scalar& _s)
 inline
 Mat::Mat(Size _sz, int _type)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create( _sz.height, _sz.width, _type );
 }
@@ -428,7 +428,7 @@ Mat::Mat(Size _sz, int _type)
 inline
 Mat::Mat(Size _sz, int _type, const Scalar& _s)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_sz.height, _sz.width, _type);
     *this = _s;
@@ -437,7 +437,7 @@ Mat::Mat(Size _sz, int _type, const Scalar& _s)
 inline
 Mat::Mat(int _dims, const int* _sz, int _type)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_dims, _sz, _type);
 }
@@ -445,7 +445,7 @@ Mat::Mat(int _dims, const int* _sz, int _type)
 inline
 Mat::Mat(int _dims, const int* _sz, int _type, const Scalar& _s)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_dims, _sz, _type);
     *this = _s;
@@ -454,7 +454,7 @@ Mat::Mat(int _dims, const int* _sz, int _type, const Scalar& _s)
 inline
 Mat::Mat(const std::vector<int>& _sz, int _type)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_sz, _type);
 }
@@ -462,7 +462,7 @@ Mat::Mat(const std::vector<int>& _sz, int _type)
 inline
 Mat::Mat(const std::vector<int>& _sz, int _type, const Scalar& _s)
     : flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
-      datalimit(0), allocator(0), u(0), size(&rows)
+      datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     create(_sz, _type);
     *this = _s;
@@ -472,7 +472,7 @@ inline
 Mat::Mat(const Mat& m)
     : flags(m.flags), dims(m.dims), rows(m.rows), cols(m.cols), data(m.data),
       datastart(m.datastart), dataend(m.dataend), datalimit(m.datalimit), allocator(m.allocator),
-      u(m.u), size(&rows)
+      u(m.u), size(&rows), step(0)
 {
     if( u )
         CV_XADD(&u->refcount, 1);
@@ -556,7 +556,7 @@ Mat::Mat(Size _sz, int _type, void* _data, size_t _step)
 template<typename _Tp> inline
 Mat::Mat(const std::vector<_Tp>& vec, bool copyData)
     : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows((int)vec.size()),
-      cols(1), data(0), datastart(0), dataend(0), allocator(0), u(0), size(&rows)
+      cols(1), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     if(vec.empty())
         return;
@@ -574,7 +574,7 @@ Mat::Mat(const std::vector<_Tp>& vec, bool copyData)
 template<typename _Tp, std::size_t _Nm> inline
 Mat::Mat(const std::array<_Tp, _Nm>& arr, bool copyData)
     : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows((int)arr.size()),
-      cols(1), data(0), datastart(0), dataend(0), allocator(0), u(0), size(&rows)
+      cols(1), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     if(arr.empty())
         return;
@@ -592,7 +592,7 @@ Mat::Mat(const std::array<_Tp, _Nm>& arr, bool copyData)
 template<typename _Tp, int n> inline
 Mat::Mat(const Vec<_Tp, n>& vec, bool copyData)
     : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(n), cols(1), data(0),
-      datastart(0), dataend(0), allocator(0), u(0), size(&rows)
+      datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     if( !copyData )
     {
@@ -608,7 +608,7 @@ Mat::Mat(const Vec<_Tp, n>& vec, bool copyData)
 template<typename _Tp, int m, int n> inline
 Mat::Mat(const Matx<_Tp,m,n>& M, bool copyData)
     : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(m), cols(n), data(0),
-      datastart(0), dataend(0), allocator(0), u(0), size(&rows)
+      datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     if( !copyData )
     {
@@ -624,7 +624,7 @@ Mat::Mat(const Matx<_Tp,m,n>& M, bool copyData)
 template<typename _Tp> inline
 Mat::Mat(const Point_<_Tp>& pt, bool copyData)
     : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(2), cols(1), data(0),
-      datastart(0), dataend(0), allocator(0), u(0), size(&rows)
+      datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     if( !copyData )
     {
@@ -643,7 +643,7 @@ Mat::Mat(const Point_<_Tp>& pt, bool copyData)
 template<typename _Tp> inline
 Mat::Mat(const Point3_<_Tp>& pt, bool copyData)
     : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(3), cols(1), data(0),
-      datastart(0), dataend(0), allocator(0), u(0), size(&rows)
+      datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
 {
     if( !copyData )
     {

diff --git a/modules/core/include/opencv2/core/softfloat.hpp b/modules/core/include/opencv2/core/softfloat.hpp
index 83e24d7..a71b676 100644 (file)
--- a/modules/core/include/opencv2/core/softfloat.hpp
+++ b/modules/core/include/opencv2/core/softfloat.hpp
@@ -121,7 +121,7 @@ public:
 struct CV_EXPORTS softdouble
 {
 public:
-    softdouble() { }
+    softdouble() : v(0) { }
     softdouble( const softdouble& c) { v = c.v; }
     softdouble& operator=( const softdouble& c )
     {

diff --git a/modules/core/src/copy.cpp b/modules/core/src/copy.cpp
index 43b9ea7..3494d00 100644 (file)
--- a/modules/core/src/copy.cpp
+++ b/modules/core/src/copy.cpp
@@ -284,7 +284,7 @@ void Mat::copyTo( OutputArray _dst ) const
         _dst.create( dims, size.p, type() );
         UMat dst = _dst.getUMat();
 
-        size_t i, sz[CV_MAX_DIM], dstofs[CV_MAX_DIM], esz = elemSize();
+        size_t i, sz[CV_MAX_DIM] = {0}, dstofs[CV_MAX_DIM], esz = elemSize();
         for( i = 0; i < (size_t)dims; i++ )
             sz[i] = size.p[i];
         sz[dims-1] *= esz;

diff --git a/modules/core/src/lda.cpp b/modules/core/src/lda.cpp
index a706eeb..20f0604 100644 (file)
--- a/modules/core/src/lda.cpp
+++ b/modules/core/src/lda.cpp
@@ -883,7 +883,7 @@ private:
 
 public:
     EigenvalueDecomposition()
-    : n(0) { }
+        : n(0), cdivr(0), cdivi(0), d(0), e(0), ort(0), V(0), H(0) {}
 
     // Initializes & computes the Eigenvalue Decomposition for a general matrix
     // given in src. This function is a port of the EigenvalueSolver in JAMA,

diff --git a/modules/core/src/parallel_pthreads.cpp b/modules/core/src/parallel_pthreads.cpp
index d17d3cb..f4e6d07 100644 (file)
--- a/modules/core/src/parallel_pthreads.cpp
+++ b/modules/core/src/parallel_pthreads.cpp
@@ -112,7 +112,7 @@ class ForThread
 {
 public:
 
-    ForThread(): m_task_start(false), m_parent(0), m_state(eFTNotStarted), m_id(0)
+    ForThread(): m_posix_thread(0), m_task_start(false), m_parent(0), m_state(eFTNotStarted), m_id(0)
     {
     }
 

diff --git a/modules/core/src/umatrix.cpp b/modules/core/src/umatrix.cpp
index ad61878..239e461 100644 (file)
--- a/modules/core/src/umatrix.cpp
+++ b/modules/core/src/umatrix.cpp
@@ -824,7 +824,7 @@ void UMat::copyTo(OutputArray _dst) const
         return;
     }
 
-    size_t i, sz[CV_MAX_DIM], srcofs[CV_MAX_DIM], dstofs[CV_MAX_DIM], esz = elemSize();
+    size_t i, sz[CV_MAX_DIM] = {0}, srcofs[CV_MAX_DIM], dstofs[CV_MAX_DIM], esz = elemSize();
     for( i = 0; i < (size_t)dims; i++ )
         sz[i] = size.p[i];
     sz[dims-1] *= esz;

diff --git a/modules/features2d/src/brisk.cpp b/modules/features2d/src/brisk.cpp
index d6e88a1..982987a 100644 (file)
--- a/modules/features2d/src/brisk.cpp
+++ b/modules/features2d/src/brisk.cpp
@@ -703,7 +703,6 @@ BRISK_Impl::computeDescriptorsAndOrOrientation(InputArray _image, InputArray _ma
   {
     cv::KeyPoint& kp = keypoints[k];
     const int& scale = kscales[k];
-    int* pvalues = _values;
     const float& x = kp.pt.x;
     const float& y = kp.pt.y;
 
@@ -712,7 +711,7 @@ BRISK_Impl::computeDescriptorsAndOrOrientation(InputArray _image, InputArray _ma
         // get the gray values in the unrotated pattern
         for (unsigned int i = 0; i < points_; i++)
         {
-          *(pvalues++) = smoothedIntensity(image, _integral, x, y, scale, 0, i);
+            _values[i] = smoothedIntensity(image, _integral, x, y, scale, 0, i);
         }
 
         int direction0 = 0;
@@ -765,11 +764,10 @@ BRISK_Impl::computeDescriptorsAndOrOrientation(InputArray _image, InputArray _ma
     int shifter = 0;
 
     //unsigned int mean=0;
-    pvalues = _values;
     // get the gray values in the rotated pattern
     for (unsigned int i = 0; i < points_; i++)
     {
-      *(pvalues++) = smoothedIntensity(image, _integral, x, y, scale, theta, i);
+        _values[i] = smoothedIntensity(image, _integral, x, y, scale, theta, i);
     }
 
     // now iterate through all the pairings

diff --git a/modules/features2d/src/evaluation.cpp b/modules/features2d/src/evaluation.cpp
index 5ea8821..6b9a03f 100644 (file)
--- a/modules/features2d/src/evaluation.cpp
+++ b/modules/features2d/src/evaluation.cpp
@@ -481,7 +481,7 @@ void cv::evaluateFeatureDetector( const Mat& img1, const Mat& img2, const Mat& H
 struct DMatchForEvaluation : public DMatch
 {
     uchar isCorrect;
-    DMatchForEvaluation( const DMatch &dm ) : DMatch( dm ) {}
+    DMatchForEvaluation( const DMatch &dm ) : DMatch( dm ), isCorrect(0) {}
 };
 
 static inline float recall( int correctMatchCount, int correspondenceCount )

diff --git a/modules/features2d/src/kaze/AKAZEFeatures.cpp b/modules/features2d/src/kaze/AKAZEFeatures.cpp
index b1400a7..43ca00d 100644 (file)
--- a/modules/features2d/src/kaze/AKAZEFeatures.cpp
+++ b/modules/features2d/src/kaze/AKAZEFeatures.cpp
@@ -782,7 +782,7 @@ void AKAZEFeatures::Compute_Main_Orientation(KeyPoint& kpt, const std::vector<TE
   int ix = 0, iy = 0, idx = 0, s = 0, level = 0;
   float xf = 0.0, yf = 0.0, gweight = 0.0, ratio = 0.0;
   const int ang_size = 109;
-  float resX[ang_size], resY[ang_size], Ang[ang_size];
+  float resX[ang_size] = {0}, resY[ang_size] = {0}, Ang[ang_size];
   const int id[] = { 6, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, 6 };
 
   // Variables for computing the dominant direction

diff --git a/modules/flann/include/opencv2/flann/allocator.h b/modules/flann/include/opencv2/flann/allocator.h
index 26091d0..aa0f4cc 100644 (file)
--- a/modules/flann/include/opencv2/flann/allocator.h
+++ b/modules/flann/include/opencv2/flann/allocator.h
@@ -97,6 +97,7 @@ public:
         blocksize = blockSize;
         remaining = 0;
         base = NULL;
+        loc = NULL;
 
         usedMemory = 0;
         wastedMemory = 0;

diff --git a/modules/flann/include/opencv2/flann/autotuned_index.h b/modules/flann/include/opencv2/flann/autotuned_index.h
index 30f8b92..e9abbf7 100644 (file)
--- a/modules/flann/include/opencv2/flann/autotuned_index.h
+++ b/modules/flann/include/opencv2/flann/autotuned_index.h
@@ -83,6 +83,7 @@ public:
         memory_weight_ = get_param(params, "memory_weight", 0.0f);
         sample_fraction_ = get_param(params,"sample_fraction", 0.1f);
         bestIndex_ = NULL;
+        speedup_ = 0;
     }
 
     AutotunedIndex(const AutotunedIndex&);

diff --git a/modules/flann/include/opencv2/flann/dynamic_bitset.h b/modules/flann/include/opencv2/flann/dynamic_bitset.h
index d795b5d..923b658 100644 (file)
--- a/modules/flann/include/opencv2/flann/dynamic_bitset.h
+++ b/modules/flann/include/opencv2/flann/dynamic_bitset.h
@@ -59,7 +59,7 @@ class DynamicBitset
 public:
     /** default constructor
      */
-    DynamicBitset()
+    DynamicBitset() : size_(0)
     {
     }
 

diff --git a/modules/flann/include/opencv2/flann/kdtree_single_index.h b/modules/flann/include/opencv2/flann/kdtree_single_index.h
index 30488ad..ef15392 100644 (file)
--- a/modules/flann/include/opencv2/flann/kdtree_single_index.h
+++ b/modules/flann/include/opencv2/flann/kdtree_single_index.h
@@ -87,6 +87,7 @@ public:
     {
         size_ = dataset_.rows;
         dim_ = dataset_.cols;
+        root_node_ = 0;
         int dim_param = get_param(params,"dim",-1);
         if (dim_param>0) dim_ = dim_param;
         leaf_max_size_ = get_param(params,"leaf_max_size",10);

diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index 2a52fbc..0907dc9 100644 (file)
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -146,6 +146,8 @@ public:
      */
     LshTable()
     {
+        key_size_ = 0;
+        speed_level_ = kArray;
     }
 
     /** Default constructor

diff --git a/modules/flann/include/opencv2/flann/result_set.h b/modules/flann/include/opencv2/flann/result_set.h
index 9750019..7c09093 100644 (file)
--- a/modules/flann/include/opencv2/flann/result_set.h
+++ b/modules/flann/include/opencv2/flann/result_set.h
@@ -303,7 +303,7 @@ public:
 
     /** Default cosntructor */
     UniqueResultSet() :
-        worst_distance_(std::numeric_limits<DistanceType>::max())
+        is_full_(false), worst_distance_(std::numeric_limits<DistanceType>::max())
     {
     }
 

diff --git a/modules/imgcodecs/src/grfmt_base.cpp b/modules/imgcodecs/src/grfmt_base.cpp
index cda8b10..d3223db 100644 (file)
--- a/modules/imgcodecs/src/grfmt_base.cpp
+++ b/modules/imgcodecs/src/grfmt_base.cpp
@@ -96,6 +96,7 @@ ImageDecoder BaseImageDecoder::newDecoder() const
 
 BaseImageEncoder::BaseImageEncoder()
 {
+    m_buf = 0;
     m_buf_supported = false;
 }
 

diff --git a/modules/imgcodecs/src/grfmt_bmp.cpp b/modules/imgcodecs/src/grfmt_bmp.cpp
index 4063d5b..86cacd3 100644 (file)
--- a/modules/imgcodecs/src/grfmt_bmp.cpp
+++ b/modules/imgcodecs/src/grfmt_bmp.cpp
@@ -55,6 +55,9 @@ BmpDecoder::BmpDecoder()
     m_signature = fmtSignBmp;
     m_offset = -1;
     m_buf_supported = true;
+    m_origin = 0;
+    m_bpp = 0;
+    m_rle_code = BMP_RGB;
 }
 
 
@@ -191,7 +194,7 @@ bool  BmpDecoder::readData( Mat& img )
     uchar* data = img.ptr();
     int step = (int)img.step;
     bool color = img.channels() > 1;
-    uchar  gray_palette[256];
+    uchar  gray_palette[256] = {0};
     bool   result = false;
     int  src_pitch = ((m_width*(m_bpp != 15 ? m_bpp : 16) + 7)/8 + 3) & -4;
     int  nch = color ? 3 : 1;

diff --git a/modules/imgcodecs/src/grfmt_exr.cpp b/modules/imgcodecs/src/grfmt_exr.cpp
index 71d8912..877197d 100644 (file)
--- a/modules/imgcodecs/src/grfmt_exr.cpp
+++ b/modules/imgcodecs/src/grfmt_exr.cpp
@@ -81,6 +81,13 @@ ExrDecoder::ExrDecoder()
     m_signature = "\x76\x2f\x31\x01";
     m_file = 0;
     m_red = m_green = m_blue = 0;
+    m_type = ((Imf::PixelType)0);
+    m_iscolor = false;
+    m_bit_depth = 0;
+    m_isfloat = false;
+    m_ischroma = false;
+    m_native_depth = false;
+
 }
 
 

diff --git a/modules/imgcodecs/src/grfmt_jpeg.cpp b/modules/imgcodecs/src/grfmt_jpeg.cpp
index 1f5f1e8..d836828 100644 (file)
--- a/modules/imgcodecs/src/grfmt_jpeg.cpp
+++ b/modules/imgcodecs/src/grfmt_jpeg.cpp
@@ -341,7 +341,7 @@ int my_jpeg_load_dht (struct jpeg_decompress_struct *info, unsigned char *dht,
 
     JHUFF_TBL **hufftbl;
     unsigned char bits[17];
-    unsigned char huffval[256];
+    unsigned char huffval[256] = {0};
 
     while (length > 16)
     {

diff --git a/modules/imgcodecs/src/grfmt_pam.cpp b/modules/imgcodecs/src/grfmt_pam.cpp
index ac7198a..11195dc 100644 (file)
--- a/modules/imgcodecs/src/grfmt_pam.cpp
+++ b/modules/imgcodecs/src/grfmt_pam.cpp
@@ -324,6 +324,9 @@ PAMDecoder::PAMDecoder()
     m_buf_supported = true;
     bit_mode = false;
     selected_fmt = CV_IMWRITE_PAM_FORMAT_NULL;
+    m_maxval = 0;
+    m_channels = 0;
+    m_sampledepth = 0;
 }
 
 

diff --git a/modules/imgcodecs/src/grfmt_png.cpp b/modules/imgcodecs/src/grfmt_png.cpp
index c8ff244..abaf611 100644 (file)
--- a/modules/imgcodecs/src/grfmt_png.cpp
+++ b/modules/imgcodecs/src/grfmt_png.cpp
@@ -91,6 +91,7 @@ PngDecoder::PngDecoder()
     m_f = 0;
     m_buf_supported = true;
     m_buf_pos = 0;
+    m_bit_depth = 0;
 }
 
 

diff --git a/modules/imgcodecs/src/grfmt_pxm.cpp b/modules/imgcodecs/src/grfmt_pxm.cpp
index 8afd7b1..1750cb7 100644 (file)
--- a/modules/imgcodecs/src/grfmt_pxm.cpp
+++ b/modules/imgcodecs/src/grfmt_pxm.cpp
@@ -94,6 +94,9 @@ PxMDecoder::PxMDecoder()
 {
     m_offset = -1;
     m_buf_supported = true;
+    m_bpp = 0;
+    m_binary = false;
+    m_maxval = 0;
 }
 
 

diff --git a/modules/imgcodecs/src/grfmt_sunras.cpp b/modules/imgcodecs/src/grfmt_sunras.cpp
index 34e5c4e..aca9b36 100644 (file)
--- a/modules/imgcodecs/src/grfmt_sunras.cpp
+++ b/modules/imgcodecs/src/grfmt_sunras.cpp
@@ -54,6 +54,10 @@ SunRasterDecoder::SunRasterDecoder()
 {
     m_offset = -1;
     m_signature = fmtSignSunRas;
+    m_bpp = 0;
+    m_encoding = RAS_STANDARD;
+    m_maptype = RMT_NONE;
+    m_maplength = 0;
 }
 
 
@@ -157,7 +161,7 @@ bool  SunRasterDecoder::readData( Mat& img )
     int color = img.channels() > 1;
     uchar* data = img.ptr();
     int step = (int)img.step;
-    uchar  gray_palette[256];
+    uchar  gray_palette[256] = {0};
     bool   result = false;
     int  src_pitch = ((m_width*m_bpp + 7)/8 + 1) & -2;
     int  nch = color ? 3 : 1;

diff --git a/modules/imgcodecs/src/grfmt_webp.cpp b/modules/imgcodecs/src/grfmt_webp.cpp
index 1281d83..53dd056 100644 (file)
--- a/modules/imgcodecs/src/grfmt_webp.cpp
+++ b/modules/imgcodecs/src/grfmt_webp.cpp
@@ -62,6 +62,7 @@ namespace cv
 WebPDecoder::WebPDecoder()
 {
     m_buf_supported = true;
+    channels = 0;
 }
 
 WebPDecoder::~WebPDecoder() {}

diff --git a/modules/imgproc/src/connectedcomponents.cpp b/modules/imgproc/src/connectedcomponents.cpp
index 1887f3b..96b87cf 100644 (file)
--- a/modules/imgproc/src/connectedcomponents.cpp
+++ b/modules/imgproc/src/connectedcomponents.cpp
@@ -95,8 +95,8 @@ namespace cv{
         std::vector<Point2ui64> integrals;
         int _nextLoc;
 
-        CCStatsOp(){}
-        CCStatsOp(OutputArray _statsv, OutputArray _centroidsv) : _mstatsv(&_statsv), _mcentroidsv(&_centroidsv){}
+        CCStatsOp() : _mstatsv(0), _mcentroidsv(0), _nextLoc(0) {}
+        CCStatsOp(OutputArray _statsv, OutputArray _centroidsv) : _mstatsv(&_statsv), _mcentroidsv(&_centroidsv), _nextLoc(0){}
 
         inline
         void init(int nlabels){

diff --git a/modules/imgproc/src/drawing.cpp b/modules/imgproc/src/drawing.cpp
index ba2ec9d..a31a19e 100644 (file)
--- a/modules/imgproc/src/drawing.cpp
+++ b/modules/imgproc/src/drawing.cpp
@@ -178,6 +178,9 @@ LineIterator::LineIterator(const Mat& img, Point pt1, Point pt2,
         {
             ptr = img.data;
             err = plusDelta = minusDelta = plusStep = minusStep = count = 0;
+            ptr0 = 0;
+            step = 0;
+            elemSize = 0;
             return;
         }
     }

diff --git a/modules/imgproc/src/filter.cpp b/modules/imgproc/src/filter.cpp
index ff7c1e4..5f25f42 100644 (file)
--- a/modules/imgproc/src/filter.cpp
+++ b/modules/imgproc/src/filter.cpp
@@ -77,6 +77,9 @@ FilterEngine::FilterEngine()
     maxWidth = 0;
 
     wholeSize = Size(-1,-1);
+    dx1 = 0;
+    borderElemSize = 0;
+    dx2 = 0;
 }
 
 
@@ -87,6 +90,11 @@ FilterEngine::FilterEngine( const Ptr<BaseFilter>& _filter2D,
                             int _rowBorderType, int _columnBorderType,
                             const Scalar& _borderValue )
 {
+    startY0 = 0;
+    endY = 0;
+    dstY = 0;
+    dx2 = 0;
+    rowCount = 0;
     init(_filter2D, _rowFilter, _columnFilter, _srcType, _dstType, _bufType,
          _rowBorderType, _columnBorderType, _borderValue);
 }
@@ -566,7 +574,7 @@ struct RowVec_8u32s
 
 struct SymmRowSmallVec_8u32s
 {
-    SymmRowSmallVec_8u32s() { smallValues = false; }
+    SymmRowSmallVec_8u32s() { smallValues = false; symmetryType = 0; }
     SymmRowSmallVec_8u32s( const Mat& _kernel, int _symmetryType )
     {
         kernel = _kernel;
@@ -870,7 +878,7 @@ struct SymmRowSmallVec_8u32s
 
 struct SymmColumnVec_32s8u
 {
-    SymmColumnVec_32s8u() { symmetryType=0; }
+    SymmColumnVec_32s8u() { symmetryType=0; delta = 0; }
     SymmColumnVec_32s8u(const Mat& _kernel, int _symmetryType, int _bits, double _delta)
     {
         symmetryType = _symmetryType;
@@ -1018,7 +1026,7 @@ struct SymmColumnVec_32s8u
 
 struct SymmColumnSmallVec_32s16s
 {
-    SymmColumnSmallVec_32s16s() { symmetryType=0; }
+    SymmColumnSmallVec_32s16s() { symmetryType=0; delta = 0; }
     SymmColumnSmallVec_32s16s(const Mat& _kernel, int _symmetryType, int _bits, double _delta)
     {
         symmetryType = _symmetryType;
@@ -1152,7 +1160,7 @@ struct SymmColumnSmallVec_32s16s
 
 struct RowVec_16s32f
 {
-    RowVec_16s32f() {}
+    RowVec_16s32f() { sse2_supported = false; }
     RowVec_16s32f( const Mat& _kernel )
     {
         kernel = _kernel;
@@ -1199,7 +1207,7 @@ struct RowVec_16s32f
 
 struct SymmColumnVec_32f16s
 {
-    SymmColumnVec_32f16s() { symmetryType=0; }
+    SymmColumnVec_32f16s() { symmetryType=0; delta = 0; sse2_supported = false; }
     SymmColumnVec_32f16s(const Mat& _kernel, int _symmetryType, int, double _delta)
     {
         symmetryType = _symmetryType;
@@ -1355,6 +1363,9 @@ struct RowVec_32f
     {
         haveSSE = checkHardwareSupport(CV_CPU_SSE);
         haveAVX2 = checkHardwareSupport(CV_CPU_AVX2);
+#if defined USE_IPP_SEP_FILTERS
+        bufsz = -1;
+#endif
     }
 
     RowVec_32f( const Mat& _kernel )
@@ -1478,7 +1489,7 @@ private:
 
 struct SymmRowSmallVec_32f
 {
-    SymmRowSmallVec_32f() {}
+    SymmRowSmallVec_32f() { symmetryType = 0; }
     SymmRowSmallVec_32f( const Mat& _kernel, int _symmetryType )
     {
         kernel = _kernel;
@@ -1675,6 +1686,7 @@ struct SymmColumnVec_32f
         symmetryType=0;
         haveSSE = checkHardwareSupport(CV_CPU_SSE);
         haveAVX2 = checkHardwareSupport(CV_CPU_AVX2);
+        delta = 0;
     }
     SymmColumnVec_32f(const Mat& _kernel, int _symmetryType, int, double _delta)
     {
@@ -1898,7 +1910,7 @@ if ( haveAVX2 )
 
 struct SymmColumnSmallVec_32f
 {
-    SymmColumnSmallVec_32f() { symmetryType=0; }
+    SymmColumnSmallVec_32f() { symmetryType=0; delta = 0; }
     SymmColumnSmallVec_32f(const Mat& _kernel, int _symmetryType, int, double _delta)
     {
         symmetryType = _symmetryType;
@@ -2030,7 +2042,7 @@ struct SymmColumnSmallVec_32f
 
 struct FilterVec_8u
 {
-    FilterVec_8u() {}
+    FilterVec_8u() { delta = 0; _nz = 0; }
     FilterVec_8u(const Mat& _kernel, int _bits, double _delta)
     {
         Mat kernel;
@@ -2113,7 +2125,7 @@ struct FilterVec_8u
 
 struct FilterVec_8u16s
 {
-    FilterVec_8u16s() {}
+    FilterVec_8u16s() { delta = 0; _nz = 0; }
     FilterVec_8u16s(const Mat& _kernel, int _bits, double _delta)
     {
         Mat kernel;
@@ -2196,7 +2208,7 @@ struct FilterVec_8u16s
 
 struct FilterVec_32f
 {
-    FilterVec_32f() {}
+    FilterVec_32f() { delta = 0; _nz = 0; }
     FilterVec_32f(const Mat& _kernel, int, double _delta)
     {
         delta = (float)_delta;

diff --git a/modules/imgproc/src/grabcut.cpp b/modules/imgproc/src/grabcut.cpp
index ca9b05c..1360f36 100644 (file)
--- a/modules/imgproc/src/grabcut.cpp
+++ b/modules/imgproc/src/grabcut.cpp
@@ -104,6 +104,7 @@ GMM::GMM( Mat& _model )
     for( int ci = 0; ci < componentsCount; ci++ )
         if( coefs[ci] > 0 )
              calcInverseCovAndDeterm( ci );
+    totalSampleCount = 0;
 }
 
 double GMM::operator()( const Vec3d color ) const

diff --git a/modules/imgproc/src/histogram.cpp b/modules/imgproc/src/histogram.cpp
index 1e09cae..357038b 100644 (file)
--- a/modules/imgproc/src/histogram.cpp
+++ b/modules/imgproc/src/histogram.cpp
@@ -1219,16 +1219,15 @@ public:
         m_type           = ippiGetDataType(src.type());
         m_levelsNum      = histSize+1;
         ippiHistogram_C1 = getIppiHistogramFunction_C1(src.type());
+        m_fullRoi    = ippiSize(src.size());
+        m_bufferSize = 0;
+        m_specSize   = 0;
         if(!ippiHistogram_C1)
         {
             ok = false;
             return;
         }
 
-        m_fullRoi    = ippiSize(src.size());
-        m_bufferSize = 0;
-        m_specSize   = 0;
-
         if(ippiHistogramGetBufferSize(m_type, m_fullRoi, &m_levelsNum, 1, 1, &m_specSize, &m_bufferSize) < 0)
         {
             ok = false;
@@ -3530,6 +3529,8 @@ cvCalcArrBackProjectPatch( CvArr** arr, CvArr* dst, CvSize patch_size, CvHistogr
         CV_Error( CV_StsBadSize, "The patch width and height must be positive" );
 
     dims = cvGetDims( hist->bins );
+    if (dims < 1)
+        CV_Error( CV_StsOutOfRange, "Invalid number of dimensions");
     cvNormalizeHist( hist, norm_factor );
 
     for( i = 0; i < dims; i++ )

diff --git a/modules/imgproc/src/imgwarp.cpp b/modules/imgproc/src/imgwarp.cpp
index 51802a5..fd0387d 100644 (file)
--- a/modules/imgproc/src/imgwarp.cpp
+++ b/modules/imgproc/src/imgwarp.cpp
@@ -6171,7 +6171,7 @@ static bool ocl_warpTransform_cols4(InputArray _src, OutputArray _dst, InputArra
     _dst.create( dsize.area() == 0 ? src.size() : dsize, src.type() );
     UMat dst = _dst.getUMat();
 
-    float M[9];
+    float M[9] = {0};
     int matRows = (op_type == OCL_OP_AFFINE ? 2 : 3);
     Mat matM(matRows, 3, CV_32F, M), M1 = _M0.getMat();
     CV_Assert( (M1.type() == CV_32F || M1.type() == CV_64F) && M1.rows == matRows && M1.cols == 3 );
@@ -6269,7 +6269,7 @@ static bool ocl_warpTransform(InputArray _src, OutputArray _dst, InputArray _M0,
     _dst.create( dsize.area() == 0 ? src.size() : dsize, src.type() );
     UMat dst = _dst.getUMat();
 
-    double M[9];
+    double M[9] = {0};
     int matRows = (op_type == OCL_OP_AFFINE ? 2 : 3);
     Mat matM(matRows, 3, CV_64F, M), M1 = _M0.getMat();
     CV_Assert( (M1.type() == CV_32F || M1.type() == CV_64F) &&
@@ -6364,7 +6364,7 @@ void cv::warpAffine( InputArray _src, OutputArray _dst,
     if( dst.data == src.data )
         src = src.clone();
 
-    double M[6];
+    double M[6] = {0};
     Mat matM(2, 3, CV_64F, M);
     if( interpolation == INTER_AREA )
         interpolation = INTER_LINEAR;

diff --git a/modules/imgproc/src/lsd.cpp b/modules/imgproc/src/lsd.cpp
index e504018..25da2b4 100644 (file)
--- a/modules/imgproc/src/lsd.cpp
+++ b/modules/imgproc/src/lsd.cpp
@@ -398,8 +398,9 @@ CV_EXPORTS Ptr<LineSegmentDetector> createLineSegmentDetector(
 
 LineSegmentDetectorImpl::LineSegmentDetectorImpl(int _refine, double _scale, double _sigma_scale, double _quant,
         double _ang_th, double _log_eps, double _density_th, int _n_bins)
-        :SCALE(_scale), doRefine(_refine), SIGMA_SCALE(_sigma_scale), QUANT(_quant),
-        ANG_TH(_ang_th), LOG_EPS(_log_eps), DENSITY_TH(_density_th), N_BINS(_n_bins)
+        : img_width(0), img_height(0), LOG_NT(0), w_needed(false), p_needed(false), n_needed(false),
+          SCALE(_scale), doRefine(_refine), SIGMA_SCALE(_sigma_scale), QUANT(_quant),
+          ANG_TH(_ang_th), LOG_EPS(_log_eps), DENSITY_TH(_density_th), N_BINS(_n_bins)
 {
     CV_Assert(_scale > 0 && _sigma_scale > 0 && _quant >= 0 &&
               _ang_th > 0 && _ang_th < 180 && _density_th >= 0 && _density_th < 1 &&

diff --git a/modules/imgproc/src/samplers.cpp b/modules/imgproc/src/samplers.cpp
index df9a2ef..818b29d 100644 (file)
--- a/modules/imgproc/src/samplers.cpp
+++ b/modules/imgproc/src/samplers.cpp
@@ -441,7 +441,7 @@ cvGetQuadrangleSubPix( const void* srcarr, void* dstarr, const CvMat* mat )
     CV_Assert( src.channels() == dst.channels() );
 
     cv::Size win_size = dst.size();
-    double matrix[6];
+    double matrix[6] = {0};
     cv::Mat M(2, 3, CV_64F, matrix);
     m.convertTo(M, CV_64F);
     double dx = (win_size.width - 1)*0.5;

diff --git a/modules/imgproc/src/shapedescr.cpp b/modules/imgproc/src/shapedescr.cpp
index 56186bb..9661c26 100644 (file)
--- a/modules/imgproc/src/shapedescr.cpp
+++ b/modules/imgproc/src/shapedescr.cpp
@@ -359,7 +359,7 @@ cv::RotatedRect cv::fitEllipse( InputArray _points )
 
     // New fitellipse algorithm, contributed by Dr. Daniel Weiss
     Point2f c(0,0);
-    double gfp[5], rp[5], t;
+    double gfp[5] = {0}, rp[5] = {0}, t;
     const double min_eps = 1e-8;
     bool is_float = depth == CV_32F;
     const Point* ptsi = points.ptr<Point>();

diff --git a/modules/ml/src/nbayes.cpp b/modules/ml/src/nbayes.cpp
index ae82a14..dc70db2 100644 (file)
--- a/modules/ml/src/nbayes.cpp
+++ b/modules/ml/src/nbayes.cpp
@@ -203,6 +203,7 @@ public:
             results = &_results;
             results_prob = !_results_prob.empty() ? &_results_prob : 0;
             rawOutput = _rawOutput;
+            value = 0;
         }
 
         const Mat* c;

diff --git a/modules/ml/src/rtrees.cpp b/modules/ml/src/rtrees.cpp
index 4482188..6aa3c96 100644 (file)
--- a/modules/ml/src/rtrees.cpp
+++ b/modules/ml/src/rtrees.cpp
@@ -81,6 +81,7 @@ public:
         params.use1SERule = false;
         params.truncatePrunedTree = false;
         params.priors = Mat();
+        oobError = 0;
     }
     virtual ~DTreesImplForRTrees() {}
 

diff --git a/modules/ml/src/tree.cpp b/modules/ml/src/tree.cpp
index 6e06617..59e100c 100644 (file)
--- a/modules/ml/src/tree.cpp
+++ b/modules/ml/src/tree.cpp
@@ -115,7 +115,7 @@ DTreesImpl::WorkData::WorkData(const Ptr<TrainData>& _data)
     maxSubsetSize = 0;
 }
 
-DTreesImpl::DTreesImpl() {}
+DTreesImpl::DTreesImpl() : _isClassifier(false) {}
 DTreesImpl::~DTreesImpl() {}
 void DTreesImpl::clear()
 {

diff --git a/modules/objdetect/src/cascadedetect.cpp b/modules/objdetect/src/cascadedetect.cpp
index 57994fc..8bd5193 100644 (file)
--- a/modules/objdetect/src/cascadedetect.cpp
+++ b/modules/objdetect/src/cascadedetect.cpp
@@ -569,6 +569,9 @@ HaarEvaluator::HaarEvaluator()
     lbufSize = Size(0, 0);
     nchannels = 0;
     tofs = 0;
+    sqofs = 0;
+    varianceNormFactor = 0;
+    hasTiltedFeatures = false;
 }
 
 HaarEvaluator::~HaarEvaluator()
@@ -770,6 +773,8 @@ LBPEvaluator::LBPEvaluator()
     features = makePtr<std::vector<Feature> >();
     optfeatures = makePtr<std::vector<OptFeature> >();
     scaleData = makePtr<std::vector<ScaleData> >();
+    optfeaturesPtr = 0;
+    pwin = 0;
 }
 
 LBPEvaluator::~LBPEvaluator()
@@ -885,6 +890,9 @@ Ptr<FeatureEvaluator> FeatureEvaluator::create( int featureType )
 
 CascadeClassifierImpl::CascadeClassifierImpl()
 {
+#ifdef HAVE_OPENCL
+    tryOpenCL = false;
+#endif
 }
 
 CascadeClassifierImpl::~CascadeClassifierImpl()
@@ -1440,7 +1448,7 @@ void CascadeClassifierImpl::detectMultiScale( InputArray _image, std::vector<Rec
 
 CascadeClassifierImpl::Data::Data()
 {
-    stageType = featureType = ncategories = maxNodesPerTree = 0;
+    stageType = featureType = ncategories = maxNodesPerTree = minNodesPerTree = 0;
 }
 
 bool CascadeClassifierImpl::Data::read(const FileNode &root)

diff --git a/modules/objdetect/src/cascadedetect.hpp b/modules/objdetect/src/cascadedetect.hpp
index f359ef5..af0aaee 100644 (file)
--- a/modules/objdetect/src/cascadedetect.hpp
+++ b/modules/objdetect/src/cascadedetect.hpp
@@ -184,7 +184,7 @@ protected:
 
         struct Stump
         {
-            Stump() { }
+            Stump() : featureIdx(0), threshold(0), left(0), right(0) { }
             Stump(int _featureIdx, float _threshold, float _left, float _right)
             : featureIdx(_featureIdx), threshold(_threshold), left(_left), right(_right) {}
 

diff --git a/modules/objdetect/src/detection_based_tracker.cpp b/modules/objdetect/src/detection_based_tracker.cpp
index 88c7923..88a1ce5 100644 (file)
--- a/modules/objdetect/src/detection_based_tracker.cpp
+++ b/modules/objdetect/src/detection_based_tracker.cpp
@@ -218,6 +218,7 @@ cv::DetectionBasedTracker::SeparateDetectionWork::SeparateDetectionWork(Detectio
 
     cascadeInThread = _detector;
 #ifndef USE_STD_THREADS
+    second_workthread = 0;
     int res=0;
     res=pthread_mutex_init(&mutex, NULL);//TODO: should be attributes?
     if (res) {

diff --git a/modules/shape/src/aff_trans.cpp b/modules/shape/src/aff_trans.cpp
index bbcd8ab..888d634 100644 (file)
--- a/modules/shape/src/aff_trans.cpp
+++ b/modules/shape/src/aff_trans.cpp
@@ -53,12 +53,14 @@ public:
     {
         fullAffine = true;
         name_ = "ShapeTransformer.AFF";
+        transformCost = 0;
     }
 
     AffineTransformerImpl(bool _fullAffine)
     {
         fullAffine = _fullAffine;
         name_ = "ShapeTransformer.AFF";
+        transformCost = 0;
     }
 
     /* Destructor */

diff --git a/modules/shape/src/emdL1_def.hpp b/modules/shape/src/emdL1_def.hpp
index 38f78cc..a5031b1 100644 (file)
--- a/modules/shape/src/emdL1_def.hpp
+++ b/modules/shape/src/emdL1_def.hpp
@@ -90,6 +90,14 @@ public:
         binsDim3 = 0;
         dimension = 0;
         nMaxIt = 500;
+
+        m_pLeave = 0;
+        m_iEnter = 0;
+        nNBV = 0;
+        m_nItr = 0;
+        m_iTo = 0;
+        m_iFrom = 0;
+        m_pEnter = 0;
     }
 
     ~EmdL1()

diff --git a/modules/shape/src/sc_dis.cpp b/modules/shape/src/sc_dis.cpp
index bbda11c..ecdcace 100644 (file)
--- a/modules/shape/src/sc_dis.cpp
+++ b/modules/shape/src/sc_dis.cpp
@@ -72,6 +72,7 @@ public:
         shapeContextWeight=1.0f;
         sigma=10.0f;
         name_ = "ShapeDistanceExtractor.SCD";
+        costFlag = 0;
     }
 
     /* Destructor */

diff --git a/modules/shape/src/scd_def.hpp b/modules/shape/src/scd_def.hpp
index d5bb5e4..882ef00 100644 (file)
--- a/modules/shape/src/scd_def.hpp
+++ b/modules/shape/src/scd_def.hpp
@@ -61,6 +61,7 @@ public:
         setInnerRadius(_innerRadius);
         setOuterRadius(_outerRadius);
         setRotationInvariant(_rotationInvariant);
+        meanDistance = 0;
     }
 
     void extractSCD(cv::Mat& contour, cv::Mat& descriptors,
@@ -107,7 +108,7 @@ class SCDMatcher
 {
 public:
     // the full constructor
-    SCDMatcher()
+    SCDMatcher() : minMatchCost(0)
     {
     }
 

diff --git a/modules/shape/src/tps_trans.cpp b/modules/shape/src/tps_trans.cpp
index 06cc6d7..ea5a364 100644 (file)
--- a/modules/shape/src/tps_trans.cpp
+++ b/modules/shape/src/tps_trans.cpp
@@ -54,6 +54,7 @@ public:
         regularizationParameter=0;
         name_ = "ShapeTransformer.TPS";
         tpsComputed=false;
+        transformCost = 0;
     }
 
     ThinPlateSplineShapeTransformerImpl(double _regularizationParameter)
@@ -61,6 +62,7 @@ public:
         regularizationParameter=_regularizationParameter;
         name_ = "ShapeTransformer.TPS";
         tpsComputed=false;
+        transformCost = 0;
     }
 
     /* Destructor */

diff --git a/modules/stitching/include/opencv2/stitching/detail/motion_estimators.hpp b/modules/stitching/include/opencv2/stitching/detail/motion_estimators.hpp
index 5276fd1..6b0d54e 100644 (file)
--- a/modules/stitching/include/opencv2/stitching/detail/motion_estimators.hpp
+++ b/modules/stitching/include/opencv2/stitching/detail/motion_estimators.hpp
@@ -149,8 +149,10 @@ protected:
     @param num_errs_per_measurement Number of error terms (components) per match
      */
     BundleAdjusterBase(int num_params_per_cam, int num_errs_per_measurement)
-        : num_params_per_cam_(num_params_per_cam),
-          num_errs_per_measurement_(num_errs_per_measurement)
+        : num_images_(0), total_num_matches_(0),
+          num_params_per_cam_(num_params_per_cam),
+          num_errs_per_measurement_(num_errs_per_measurement),
+          features_(0), pairwise_matches_(0), conf_thresh_(0)
     {
         setRefinementMask(Mat::ones(3, 3, CV_8U));
         setConfThresh(1.);

diff --git a/modules/stitching/src/blenders.cpp b/modules/stitching/src/blenders.cpp
index dc7aecb..858c150 100644 (file)
--- a/modules/stitching/src/blenders.cpp
+++ b/modules/stitching/src/blenders.cpp
@@ -217,6 +217,7 @@ Rect FeatherBlender::createWeightMaps(const std::vector<UMat> &masks, const std:
 
 MultiBandBlender::MultiBandBlender(int try_gpu, int num_bands, int weight_type)
 {
+    num_bands_ = 0;
     setNumBands(num_bands);
 
 #if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)

diff --git a/modules/stitching/src/seam_finders.cpp b/modules/stitching/src/seam_finders.cpp
index 90bf599..9de34d5 100644 (file)
--- a/modules/stitching/src/seam_finders.cpp
+++ b/modules/stitching/src/seam_finders.cpp
@@ -162,7 +162,7 @@ void VoronoiSeamFinder::findInPair(size_t first, size_t second, Rect roi)
 }
 
 
-DpSeamFinder::DpSeamFinder(CostFunction costFunc) : costFunc_(costFunc) {}
+DpSeamFinder::DpSeamFinder(CostFunction costFunc) : costFunc_(costFunc), ncomps_(0) {}
 
 
 void DpSeamFinder::find(const std::vector<UMat> &src, const std::vector<Point> &corners, std::vector<UMat> &masks)

diff --git a/modules/superres/src/btv_l1.cpp b/modules/superres/src/btv_l1.cpp
index 9c86341..c5715e7 100644 (file)
--- a/modules/superres/src/btv_l1.cpp
+++ b/modules/superres/src/btv_l1.cpp
@@ -854,6 +854,9 @@ namespace
     BTVL1::BTVL1()
     {
         temporalAreaRadius_ = 4;
+        procPos_ = 0;
+        outPos_ = 0;
+        storePos_ = 0;
     }
 
     void BTVL1::collectGarbage()

diff --git a/modules/video/src/bgfg_KNN.cpp b/modules/video/src/bgfg_KNN.cpp
index 70f0b43..fa1a6db 100755 (executable)
--- a/modules/video/src/bgfg_KNN.cpp
+++ b/modules/video/src/bgfg_KNN.cpp
@@ -89,6 +89,9 @@ public:
     nShadowDetection =  defaultnShadowDetection2;
     fTau = defaultfTau;// Tau - shadow threshold
     name_ = "BackgroundSubtractor.KNN";
+    nLongCounter = 0;
+    nMidCounter = 0;
+    nShortCounter = 0;
     }
     //! the full constructor that takes the length of the history,
     // the number of gaussian mixtures, the background ratio parameter and the noise strength
@@ -113,6 +116,9 @@ public:
     nShadowDetection =  defaultnShadowDetection2;
     fTau = defaultfTau;
     name_ = "BackgroundSubtractor.KNN";
+    nLongCounter = 0;
+    nMidCounter = 0;
+    nShortCounter = 0;
     }
     //! the destructor
     ~BackgroundSubtractorKNNImpl() {}

diff --git a/modules/video/src/lkpyramid.cpp b/modules/video/src/lkpyramid.cpp
index c4cbf2f..ca591a8 100644 (file)
--- a/modules/video/src/lkpyramid.cpp
+++ b/modules/video/src/lkpyramid.cpp
@@ -1451,7 +1451,7 @@ getRTMatrix( const Point2f* a, const Point2f* b,
     }
     else
     {
-        double sa[4][4]={{0.}}, sb[4]={0.}, m[4];
+        double sa[4][4]={{0.}}, sb[4]={0.}, m[4] = {0};
         Mat A( 4, 4, CV_64F, sa ), B( 4, 1, CV_64F, sb );
         Mat MM( 4, 1, CV_64F, m );
 

diff --git a/modules/videoio/src/cap_mjpeg_encoder.cpp b/modules/videoio/src/cap_mjpeg_encoder.cpp
index 0e7cc7d..8899092 100644 (file)
--- a/modules/videoio/src/cap_mjpeg_encoder.cpp
+++ b/modules/videoio/src/cap_mjpeg_encoder.cpp
@@ -96,6 +96,8 @@ public:
         m_end = m_start + DEFAULT_BLOCK_SIZE;
         m_is_opened = false;
         m_f = 0;
+        m_current = 0;
+        m_pos = 0;
     }
 
     ~BitStream()
@@ -591,6 +593,12 @@ public:
     {
         rawstream = false;
         nstripes = -1;
+        height = 0;
+        width = 0;
+        moviPointer = 0;
+        channels = 0;
+        outfps = 0;
+        quality = 0;
     }
 
     MotionJpegWriter(const String& filename, double fps, Size size, bool iscolor)

diff --git a/modules/videostab/include/opencv2/videostab/fast_marching.hpp b/modules/videostab/include/opencv2/videostab/fast_marching.hpp
index 526b10b..43f8e4a 100644 (file)
--- a/modules/videostab/include/opencv2/videostab/fast_marching.hpp
+++ b/modules/videostab/include/opencv2/videostab/fast_marching.hpp
@@ -63,7 +63,7 @@ namespace videostab
 class CV_EXPORTS FastMarchingMethod
 {
 public:
-    FastMarchingMethod() : inf_(1e6f) {}
+    FastMarchingMethod() : inf_(1e6f), size_(0) {}
 
     /** @brief Template method that runs the Fast Marching Method.
 

diff --git a/modules/videostab/src/stabilizer.cpp b/modules/videostab/src/stabilizer.cpp
index f9c09ba..cf25b48 100644 (file)
--- a/modules/videostab/src/stabilizer.cpp
+++ b/modules/videostab/src/stabilizer.cpp
@@ -63,6 +63,11 @@ StabilizerBase::StabilizerBase()
     setTrimRatio(0);
     setCorrectionForInclusion(false);
     setBorderMode(BORDER_REPLICATE);
+    curPos_ = 0;
+    doDeblurring_ = false;
+    doInpainting_ = false;
+    processingStartTime_ = 0;
+    curStabilizedPos_ = 0;
 }
 
 

diff --git a/modules/videostab/src/wobble_suppression.cpp b/modules/videostab/src/wobble_suppression.cpp
index 86067fb..079c511 100644 (file)
--- a/modules/videostab/src/wobble_suppression.cpp
+++ b/modules/videostab/src/wobble_suppression.cpp
@@ -85,7 +85,7 @@ namespace cv
 namespace videostab
 {
 
-WobbleSuppressorBase::WobbleSuppressorBase() : motions_(0), stabilizationMotions_(0)
+WobbleSuppressorBase::WobbleSuppressorBase() : frameCount_(0), motions_(0), motions2_(0), stabilizationMotions_(0)
 {
     setMotionEstimator(makePtr<KeypointBasedMotionEstimator>(makePtr<MotionEstimatorRansacL2>(MM_HOMOGRAPHY)));
 }