Merge pull request #879 from apavlenko:gcc-4.8
This commit is contained in:
commit
0fec2eb6e5
3
3rdparty/libjasper/CMakeLists.txt
vendored
3
3rdparty/libjasper/CMakeLists.txt
vendored
@ -23,7 +23,8 @@ if(WIN32 AND NOT MINGW)
|
||||
add_definitions(-DJAS_WIN_MSVC_BUILD)
|
||||
endif(WIN32 AND NOT MINGW)
|
||||
|
||||
ocv_warnings_disable(CMAKE_C_FLAGS -Wno-implicit-function-declaration -Wno-uninitialized -Wmissing-prototypes -Wmissing-declarations -Wunused -Wshadow -Wsign-compare)
|
||||
ocv_warnings_disable(CMAKE_C_FLAGS -Wno-implicit-function-declaration -Wno-uninitialized -Wmissing-prototypes
|
||||
-Wno-unused-but-set-parameter -Wmissing-declarations -Wunused -Wshadow -Wsign-compare)
|
||||
ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter) # clang
|
||||
ocv_warnings_disable(CMAKE_C_FLAGS /wd4013 /wd4018 /wd4101 /wd4244 /wd4267 /wd4715) # vs2005
|
||||
|
||||
|
@ -101,7 +101,7 @@ endif()
|
||||
|
||||
if(MSVC64 OR MINGW64)
|
||||
set(X86_64 1)
|
||||
elseif(MSVC AND NOT CMAKE_CROSSCOMPILING)
|
||||
elseif(MINGW OR (MSVC AND NOT CMAKE_CROSSCOMPILING))
|
||||
set(X86 1)
|
||||
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "amd64.*|x86_64.*|AMD64.*")
|
||||
set(X86_64 1)
|
||||
|
@ -42,7 +42,6 @@ template <typename Distance>
|
||||
void find_nearest(const Matrix<typename Distance::ElementType>& dataset, typename Distance::ElementType* query, int* matches, int nn,
|
||||
int skip = 0, Distance distance = Distance())
|
||||
{
|
||||
typedef typename Distance::ElementType ElementType;
|
||||
typedef typename Distance::ResultType DistanceType;
|
||||
int n = nn + skip;
|
||||
|
||||
|
@ -52,6 +52,11 @@
|
||||
#include <stdio.h>
|
||||
#include <setjmp.h>
|
||||
|
||||
// the following defines are a hack to avoid multiple problems with frame ponter handling and setjmp
|
||||
// see http://gcc.gnu.org/ml/gcc/2011-10/msg00324.html for some details
|
||||
#define mingw_getsp(...) 0
|
||||
#define __builtin_frame_address(...) 0
|
||||
|
||||
#ifdef WIN32
|
||||
|
||||
#define XMD_H // prevent redefinition of INT32
|
||||
|
@ -73,6 +73,11 @@
|
||||
#pragma warning( disable: 4611 )
|
||||
#endif
|
||||
|
||||
// the following defines are a hack to avoid multiple problems with frame ponter handling and setjmp
|
||||
// see http://gcc.gnu.org/ml/gcc/2011-10/msg00324.html for some details
|
||||
#define mingw_getsp(...) 0
|
||||
#define __builtin_frame_address(...) 0
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
|
@ -93,7 +93,6 @@ icvFloodFill_CnIR( uchar* pImage, int step, CvSize roi, CvPoint seed,
|
||||
_Tp newVal, CvConnectedComp* region, int flags,
|
||||
std::vector<CvFFillSegment>* buffer )
|
||||
{
|
||||
typedef typename cv::DataType<_Tp>::channel_type _CTp;
|
||||
_Tp* img = (_Tp*)(pImage + step * seed.y);
|
||||
int i, L, R;
|
||||
int area = 0;
|
||||
@ -252,7 +251,6 @@ icvFloodFillGrad_CnIR( uchar* pImage, int step, uchar* pMask, int maskStep,
|
||||
CvConnectedComp* region, int flags,
|
||||
std::vector<CvFFillSegment>* buffer )
|
||||
{
|
||||
typedef typename cv::DataType<_Tp>::channel_type _CTp;
|
||||
_Tp* img = (_Tp*)(pImage + step*seed.y);
|
||||
uchar* mask = (pMask += maskStep + 1) + maskStep*seed.y;
|
||||
int i, L, R;
|
||||
|
@ -1219,8 +1219,6 @@ static void resizeGeneric_( const Mat& src, Mat& dst,
|
||||
const int* yofs, const void* _beta,
|
||||
int xmin, int xmax, int ksize )
|
||||
{
|
||||
typedef typename HResize::value_type T;
|
||||
typedef typename HResize::buf_type WT;
|
||||
typedef typename HResize::alpha_type AT;
|
||||
|
||||
const AT* beta = (const AT*)_beta;
|
||||
|
@ -61,7 +61,7 @@ protected:
|
||||
{
|
||||
int ObjNum = m_TrackList.GetBlobNum();
|
||||
int i;
|
||||
char video_name[1024];
|
||||
char video_name[1024+1];
|
||||
char* struct_name = NULL;
|
||||
CvFileStorage* storage = cvOpenFileStorage(m_pFileName,NULL,CV_STORAGE_WRITE_TEXT);
|
||||
|
||||
|
@ -117,10 +117,10 @@ class CvKDTreeWrap : public CvFeatureTree {
|
||||
CvMat* results) {
|
||||
int rn = results->rows * results->cols;
|
||||
std::vector<int> inbounds;
|
||||
dispatch_cvtype(mat, ((__treetype*)data)->
|
||||
find_ortho_range((typename __treetype::scalar_type*)bounds_min->data.ptr,
|
||||
assert(CV_MAT_DEPTH(mat->type) == CV_32F || CV_MAT_DEPTH(mat->type) == CV_64F);
|
||||
((__treetype*)data)->find_ortho_range((typename __treetype::scalar_type*)bounds_min->data.ptr,
|
||||
(typename __treetype::scalar_type*)bounds_max->data.ptr,
|
||||
inbounds));
|
||||
inbounds);
|
||||
std::copy(inbounds.begin(),
|
||||
inbounds.begin() + std::min((int)inbounds.size(), rn),
|
||||
(int*) results->data.ptr);
|
||||
|
@ -65,12 +65,12 @@ namespace cv
|
||||
static const int OPT_SIZE = 100;
|
||||
|
||||
static const char * T_ARR [] = {
|
||||
"uchar",
|
||||
"char",
|
||||
"ushort",
|
||||
"short",
|
||||
"int",
|
||||
"float -D T_FLOAT",
|
||||
"uchar",
|
||||
"char",
|
||||
"ushort",
|
||||
"short",
|
||||
"int",
|
||||
"float -D T_FLOAT",
|
||||
"double"};
|
||||
|
||||
template < int BLOCK_SIZE, int MAX_DESC_LEN/*, typename Mask*/ >
|
||||
@ -86,8 +86,8 @@ void matchUnrolledCached(const oclMat &query, const oclMat &train, const oclMat
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
T_ARR[query.depth()], distType, block_size, m_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -128,8 +128,8 @@ void match(const oclMat &query, const oclMat &train, const oclMat &/*mask*/,
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
T_ARR[query.depth()], distType, block_size);
|
||||
if(globalSize[0] != 0)
|
||||
{
|
||||
@ -171,8 +171,8 @@ void matchUnrolledCached(const oclMat &query, const oclMat &train, float maxDist
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
T_ARR[query.depth()], distType, block_size, m_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -212,8 +212,8 @@ void radius_match(const oclMat &query, const oclMat &train, float maxDistance, c
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
T_ARR[query.depth()], distType, block_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -312,8 +312,8 @@ void knn_matchUnrolledCached(const oclMat &query, const oclMat &train, const ocl
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
T_ARR[query.depth()], distType, block_size, m_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -348,8 +348,8 @@ void knn_match(const oclMat &query, const oclMat &train, const oclMat &/*mask*/,
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
T_ARR[query.depth()], distType, block_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -384,8 +384,8 @@ void calcDistanceUnrolled(const oclMat &query, const oclMat &train, const oclMat
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d -D MAX_DESC_LEN=%d",
|
||||
T_ARR[query.depth()], distType, block_size, m_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -420,8 +420,8 @@ void calcDistance(const oclMat &query, const oclMat &train, const oclMat &/*mask
|
||||
vector< pair<size_t, const void *> > args;
|
||||
|
||||
char opt [OPT_SIZE] = "";
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
sprintf(opt,
|
||||
"-D T=%s -D DIST_TYPE=%d -D BLOCK_SIZE=%d",
|
||||
T_ARR[query.depth()], distType, block_size);
|
||||
|
||||
if(globalSize[0] != 0)
|
||||
@ -561,7 +561,7 @@ void cv::ocl::BruteForceMatcher_OCL_base::matchSingle(const oclMat &query, const
|
||||
{
|
||||
if (query.empty() || train.empty())
|
||||
return;
|
||||
|
||||
|
||||
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
|
||||
CV_Assert(train.cols == query.cols && train.type() == query.type());
|
||||
|
||||
@ -673,7 +673,7 @@ void cv::ocl::BruteForceMatcher_OCL_base::matchCollection(const oclMat &query, c
|
||||
return;
|
||||
|
||||
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
|
||||
|
||||
|
||||
const int nQuery = query.rows;
|
||||
|
||||
ensureSizeIsEnough(1, nQuery, CV_32S, trainIdx);
|
||||
@ -845,8 +845,8 @@ void cv::ocl::BruteForceMatcher_OCL_base::knnMatch2Collection(const oclMat &quer
|
||||
if (query.empty() || trainCollection.empty())
|
||||
return;
|
||||
|
||||
typedef void (*caller_t)(const oclMat & query, const oclMat & trains, const oclMat & masks,
|
||||
const oclMat & trainIdx, const oclMat & imgIdx, const oclMat & distance);
|
||||
// typedef void (*caller_t)(const oclMat & query, const oclMat & trains, const oclMat & masks,
|
||||
// const oclMat & trainIdx, const oclMat & imgIdx, const oclMat & distance);
|
||||
|
||||
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
|
||||
|
||||
@ -993,7 +993,7 @@ void cv::ocl::BruteForceMatcher_OCL_base::knnMatch(const oclMat &query, vector<
|
||||
|
||||
// radiusMatchSingle
|
||||
void cv::ocl::BruteForceMatcher_OCL_base::radiusMatchSingle(const oclMat &query, const oclMat &train,
|
||||
oclMat &trainIdx, oclMat &distance, oclMat &nMatches, float maxDistance, const oclMat &mask)
|
||||
oclMat &trainIdx, oclMat &distance, oclMat &nMatches, float maxDistance, const oclMat &mask)
|
||||
{
|
||||
if (query.empty() || train.empty())
|
||||
return;
|
||||
@ -1095,9 +1095,9 @@ void cv::ocl::BruteForceMatcher_OCL_base::radiusMatchCollection(const oclMat &qu
|
||||
if (query.empty() || empty())
|
||||
return;
|
||||
|
||||
#if 0
|
||||
typedef void (*caller_t)(const oclMat & query, const oclMat * trains, int n, float maxDistance, const oclMat * masks,
|
||||
const oclMat & trainIdx, const oclMat & imgIdx, const oclMat & distance, const oclMat & nMatches);
|
||||
#if 0
|
||||
static const caller_t callers[3][6] =
|
||||
{
|
||||
{
|
||||
|
@ -60,7 +60,7 @@ void cv::ocl::gemm(const oclMat &src1, const oclMat &src2, double alpha,
|
||||
const oclMat &src3, double beta, oclMat &dst, int flags)
|
||||
{
|
||||
CV_Assert(src1.cols == src2.rows &&
|
||||
(src3.empty() || src1.rows == src3.rows && src2.cols == src3.cols));
|
||||
(src3.empty() || (src1.rows == src3.rows && src2.cols == src3.cols)));
|
||||
CV_Assert(!(cv::GEMM_3_T & flags)); // cv::GEMM_3_T is not supported
|
||||
if(!src3.empty())
|
||||
{
|
||||
|
@ -145,7 +145,8 @@ typedef struct
|
||||
int imgoff;
|
||||
float factor;
|
||||
} detect_piramid_info;
|
||||
#ifdef WIN32
|
||||
|
||||
#if defined WIN32 && !defined __MINGW__ && !defined __MINGW32__
|
||||
#define _ALIGNED_ON(_ALIGNMENT) __declspec(align(_ALIGNMENT))
|
||||
typedef _ALIGNED_ON(128) struct GpuHidHaarFeature
|
||||
{
|
||||
|
Loading…
Reference in New Issue
Block a user