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Fixing some static analysis issues

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This commit is contained in:
Maksim Shabunin
2017-06-26 14:09:21 +03:00
parent b991665b5d
commit 32d4af36e2
63 changed files with 238 additions and 94 deletions
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modules/core/include/opencv2/core/hal/intrin_sse.hpp
+11 -11
View File
@@ -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)
{
modules/core/include/opencv2/core/mat.inl.hpp
+16 -16
View File
@@ -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 )
{
modules/core/include/opencv2/core/softfloat.hpp
+1 -1
View File
@@ -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 )
{
modules/core/src/copy.cpp
+1 -1
View File
@@ -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;
modules/core/src/lda.cpp
+1 -1
View File
@@ -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,
modules/core/src/parallel_pthreads.cpp
+1 -1
View File
@@ -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)
{
}
modules/core/src/umatrix.cpp
+1 -1
View File
@@ -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;