Merge pull request #719 from jet47:gpu-fix-build
This commit is contained in:
commit
f4b98e9628
@ -111,6 +111,9 @@
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#define CV_CPU_NEON 11
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#define CV_HARDWARE_MAX_FEATURE 255
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// disable SSE/AVX/NEON headers for NVCC compiler
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#ifndef __CUDACC__
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#if defined __SSE2__ || defined _M_X64 || (defined _M_IX86_FP && _M_IX86_FP >= 2)
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# include <emmintrin.h>
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# define CV_SSE 1
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@ -149,6 +152,8 @@
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# define CV_NEON 1
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#endif
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#endif // __CUDACC__
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#ifndef CV_SSE
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# define CV_SSE 0
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#endif
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@ -336,7 +341,7 @@ typedef signed char schar;
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CV_INLINE int cvRound( double value )
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{
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#if (defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__ && !defined __APPLE__)
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#if ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__ && !defined __APPLE__)) && !defined(__CUDACC__)
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__m128d t = _mm_set_sd( value );
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return _mm_cvtsd_si32(t);
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#elif defined _MSC_VER && defined _M_IX86
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@ -361,7 +366,7 @@ CV_INLINE int cvRound( double value )
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CV_INLINE int cvFloor( double value )
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{
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#if defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__ && !defined __APPLE__)
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#if (defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__ && !defined __APPLE__)) && !defined(__CUDACC__)
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__m128d t = _mm_set_sd( value );
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int i = _mm_cvtsd_si32(t);
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return i - _mm_movemask_pd(_mm_cmplt_sd(t, _mm_cvtsi32_sd(t,i)));
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@ -377,7 +382,7 @@ CV_INLINE int cvFloor( double value )
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CV_INLINE int cvCeil( double value )
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{
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#if defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__&& !defined __APPLE__)
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#if (defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__&& !defined __APPLE__)) && !defined(__CUDACC__)
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__m128d t = _mm_set_sd( value );
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int i = _mm_cvtsd_si32(t);
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return i + _mm_movemask_pd(_mm_cmplt_sd(_mm_cvtsi32_sd(t,i), t));
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@ -52,6 +52,7 @@
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#include <cstddef>
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#include <cstring>
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#include <cctype>
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#ifndef OPENCV_NOSTL
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# include <string>
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@ -166,6 +167,8 @@ public:
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friend String operator+ (const String& lhs, char rhs);
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friend String operator+ (char lhs, const String& rhs);
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String toLowerCase() const;
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#ifndef OPENCV_NOSTL
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String(const std::string& str);
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String(const std::string& str, size_t pos, size_t len = npos);
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@ -482,6 +485,16 @@ inline size_t String::find_last_of(const char* s, size_t pos) const
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return npos;
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}
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inline String String::toLowerCase() const
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{
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String res(cstr_, len_);
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for (size_t i = 0; i < len_; ++i)
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res.cstr_[i] = (char) ::tolower(cstr_[i]);
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return res;
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}
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// ************************* cv::String non-member functions *************************
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inline String operator+ (const String& lhs, const String& rhs)
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|
@ -358,7 +358,7 @@ AutoBuffer<_Tp, fixed_size>::AutoBuffer(const AutoBuffer<_Tp, fixed_size>& abuf
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{
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ptr = buf;
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sz = fixed_size;
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allocate(abuf.size);
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allocate(abuf.size());
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for( size_t i = 0; i < sz; i++ )
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ptr[i] = abuf.ptr[i];
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}
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@ -369,7 +369,7 @@ AutoBuffer<_Tp, fixed_size>::operator = (const AutoBuffer<_Tp, fixed_size>& abuf
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if( this != &abuf )
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{
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deallocate();
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allocate(abuf.size);
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allocate(abuf.size());
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for( size_t i = 0; i < sz; i++ )
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ptr[i] = abuf.ptr[i];
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}
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@ -41,7 +41,6 @@
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//M*/
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#include "precomp.hpp"
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#include "opencv2/core/gpumat.hpp"
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using namespace cv;
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using namespace cv::gpu;
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@ -272,7 +271,7 @@ void cv::gpu::Stream::enqueueConvert(const GpuMat& src, GpuMat& dst, int dtype,
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convertTo(src, dst, alpha, beta, stream);
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}
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#if CUDA_VERSION >= 5000
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#if CUDART_VERSION >= 5000
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namespace
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{
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@ -295,7 +294,7 @@ namespace
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void cv::gpu::Stream::enqueueHostCallback(StreamCallback callback, void* userData)
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{
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#if CUDA_VERSION >= 5000
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#if CUDART_VERSION >= 5000
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CallbackData* data = new CallbackData;
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data->callback = callback;
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data->userData = userData;
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@ -41,24 +41,6 @@
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//M*/
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#include "precomp.hpp"
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#include "opencv2/core/gpumat.hpp"
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#include <cctype>
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#ifdef HAVE_CUDA
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#include <cuda_runtime.h>
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#include <npp.h>
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#define CUDART_MINIMUM_REQUIRED_VERSION 4020
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#define NPP_MINIMUM_REQUIRED_VERSION 4200
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#if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
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#error "Insufficient Cuda Runtime library version, please update it."
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#endif
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#if (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD < NPP_MINIMUM_REQUIRED_VERSION)
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#error "Insufficient NPP version, please update it."
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#endif
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#endif
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using namespace cv;
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using namespace cv::gpu;
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@ -233,7 +215,7 @@ namespace
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int cur_value;
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int chars_read;
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int args_read = sscanf(set_as_str.c_str() + pos, "%d%n", &cur_value, &chars_read);
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CV_Assert(args_read == 2);
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CV_Assert(args_read == 1);
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arr.push_back(cur_value);
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pos += chars_read;
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@ -51,6 +51,7 @@
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#include "opencv2/core/utility.hpp"
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#include "opencv2/core/core_c.h"
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#include "opencv2/core/internal.hpp"
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#include "opencv2/core/gpumat.hpp"
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#include <assert.h>
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#include <ctype.h>
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@ -68,8 +69,20 @@
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#endif
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#ifdef HAVE_CUDA
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# include <cuda_runtime_api.h>
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# include "opencv2/core/gpumat.hpp"
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# include <cuda_runtime.h>
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# include <npp.h>
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# define CUDART_MINIMUM_REQUIRED_VERSION 4020
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# define NPP_MINIMUM_REQUIRED_VERSION 4200
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# if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
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# error "Insufficient Cuda Runtime library version, please update it."
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# endif
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# if (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD < NPP_MINIMUM_REQUIRED_VERSION)
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# error "Insufficient NPP version, please update it."
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# endif
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# if defined(__GNUC__)
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# define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
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@ -693,7 +693,7 @@ bool cv::gpu::CascadeClassifier_GPU::load(const String& filename)
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release();
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String fext = filename.substr(filename.find_last_of(".") + 1);
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std::transform(fext.begin(), fext.end(), fext.begin(), ::tolower);
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fext = fext.toLowerCase();
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if (fext == "nvbin")
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{
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@ -51,7 +51,7 @@ namespace
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struct ErrorEntry
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{
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int code;
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String str;
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const char* str;
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};
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class ErrorEntryComparer
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@ -65,16 +65,14 @@ namespace
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int code_;
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};
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String getErrorString(int code, const ErrorEntry* errors, size_t n)
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cv::String getErrorString(int code, const ErrorEntry* errors, size_t n)
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{
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size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
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const String& msg = (idx != n) ? errors[idx].str : String("Unknown error code");
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const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
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cv::String str = cv::format("%s [Code = %d]", msg, code);
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std::ostringstream ostr;
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ostr << msg << " [Code = " << code << "]";
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return ostr.str();
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return str;
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}
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const ErrorEntry cu_errors [] =
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@ -131,7 +129,7 @@ namespace
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const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
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}
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String cv::gpu::detail::cuGetErrString(CUresult res)
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cv::String cv::gpu::detail::cuGetErrString(CUresult res)
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{
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return getErrorString(res, cu_errors, cu_errors_num);
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}
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@ -43,8 +43,7 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/vec_traits.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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#include "opencv2/gpu/device/border_interpolate.hpp"
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@ -198,4 +197,4 @@ OCV_INSTANTIATE_BILATERAL_FILTER(float3)
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OCV_INSTANTIATE_BILATERAL_FILTER(float4)
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#endif /* CUDA_DISABLER */
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#endif /* CUDA_DISABLER */
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@ -42,7 +42,7 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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namespace cv { namespace gpu { namespace device
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{
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@ -118,4 +118,4 @@ namespace cv { namespace gpu { namespace device
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}}} // namespace cv { namespace gpu { namespace device
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#endif /* CUDA_DISABLER */
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#endif /* CUDA_DISABLER */
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|
@ -42,7 +42,7 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/transform.hpp"
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#include "opencv2/gpu/device/color.hpp"
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#include "cvt_color_internal.h"
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|
@ -42,7 +42,7 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/border_interpolate.hpp"
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namespace cv { namespace gpu { namespace device
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@ -128,4 +128,4 @@ namespace cv { namespace gpu { namespace device
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} // namespace imgproc
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}}} // namespace cv { namespace gpu { namespace device
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#endif /* CUDA_DISABLER */
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#endif /* CUDA_DISABLER */
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|
@ -42,7 +42,7 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/limits.hpp"
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namespace cv { namespace gpu { namespace device
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@ -220,4 +220,4 @@ namespace cv { namespace gpu { namespace device
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} // namespace bilateral_filter
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}}} // namespace cv { namespace gpu { namespace device
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#endif /* CUDA_DISABLER */
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#endif /* CUDA_DISABLER */
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|
@ -42,11 +42,12 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/vec_traits.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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#include "opencv2/gpu/device/saturate_cast.hpp"
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#include "opencv2/gpu/device/border_interpolate.hpp"
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#include "internal_shared.hpp"
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namespace cv { namespace gpu { namespace device
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{
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|
@ -43,8 +43,8 @@
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#ifndef __OPENCV_GPU_DEVICE_LBP_HPP_
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#define __OPENCV_GPU_DEVICE_LBP_HPP_
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#include "internal_shared.hpp"
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#include <opencv2/gpu/device/emulation.hpp>
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/emulation.hpp"
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namespace cv { namespace gpu { namespace device {
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@ -72,10 +72,10 @@ namespace lbp {
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__device__ __forceinline__ bool operator()(const int4& r1, const int4& r2) const
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{
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float delta = eps * (min(r1.z, r2.z) + min(r1.w, r2.w)) * 0.5f;
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float delta = eps * (::min(r1.z, r2.z) + ::min(r1.w, r2.w)) * 0.5f;
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return abs(r1.x - r2.x) <= delta && abs(r1.y - r2.y) <= delta
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&& abs(r1.x + r1.z - r2.x - r2.z) <= delta && abs(r1.y + r1.w - r2.y - r2.w) <= delta;
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return ::abs(r1.x - r2.x) <= delta && ::abs(r1.y - r2.y) <= delta
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&& ::abs(r1.x + r1.z - r2.x - r2.z) <= delta && ::abs(r1.y + r1.w - r2.y - r2.w) <= delta;
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}
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float eps;
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};
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@ -109,4 +109,4 @@ namespace lbp {
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} } }// namespaces
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#endif
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#endif
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|
@ -42,7 +42,7 @@
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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namespace cv { namespace gpu { namespace device
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@ -913,4 +913,4 @@ namespace cv { namespace gpu { namespace device
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}}} // namespace cv { namespace gpu { namespace device
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#endif /* CUDA_DISABLER */
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#endif /* CUDA_DISABLER */
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|
@ -42,7 +42,7 @@
|
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|
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#if !defined CUDA_DISABLER
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
|
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|
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namespace cv { namespace gpu { namespace device
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{
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|
@ -42,7 +42,6 @@
|
||||
|
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#if !defined CUDA_DISABLER
|
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|
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/common.hpp"
|
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#include "opencv2/gpu/device/border_interpolate.hpp"
|
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|
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@ -645,4 +644,4 @@ namespace cv { namespace gpu { namespace device { namespace optflow_farneback
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}}}} // namespace cv { namespace gpu { namespace device { namespace optflow_farneback
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||||
|
||||
|
||||
#endif /* CUDA_DISABLER */
|
||||
#endif /* CUDA_DISABLER */
|
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|
@ -42,7 +42,7 @@
|
||||
|
||||
#if !defined CUDA_DISABLER
|
||||
|
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#include "internal_shared.hpp"
|
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#include "opencv2/gpu/device/common.hpp"
|
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#include "opencv2/gpu/device/border_interpolate.hpp"
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#include "opencv2/gpu/device/vec_traits.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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@ -193,4 +193,4 @@ namespace cv { namespace gpu { namespace device
|
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} // namespace imgproc
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}}} // namespace cv { namespace gpu { namespace device
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||||
|
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#endif /* CUDA_DISABLER */
|
||||
#endif /* CUDA_DISABLER */
|
||||
|
@ -42,7 +42,7 @@
|
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|
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#if !defined CUDA_DISABLER
|
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|
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#include "internal_shared.hpp"
|
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#include "opencv2/gpu/device/common.hpp"
|
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#include "opencv2/gpu/device/border_interpolate.hpp"
|
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#include "opencv2/gpu/device/vec_traits.hpp"
|
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#include "opencv2/gpu/device/vec_math.hpp"
|
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|
@ -42,14 +42,14 @@
|
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|
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#if !defined CUDA_DISABLER
|
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|
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#include "internal_shared.hpp"
|
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#include <cfloat>
|
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#include "opencv2/gpu/device/common.hpp"
|
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#include "opencv2/gpu/device/border_interpolate.hpp"
|
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#include "opencv2/gpu/device/vec_traits.hpp"
|
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#include "opencv2/gpu/device/vec_math.hpp"
|
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#include "opencv2/gpu/device/saturate_cast.hpp"
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#include "opencv2/gpu/device/filters.hpp"
|
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#include <cfloat>
|
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#include <opencv2/gpu/device/scan.hpp>
|
||||
#include "opencv2/gpu/device/scan.hpp"
|
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|
||||
namespace cv { namespace gpu { namespace device
|
||||
{
|
||||
@ -299,4 +299,4 @@ namespace cv { namespace gpu { namespace device
|
||||
}}} // namespace cv { namespace gpu { namespace device
|
||||
|
||||
|
||||
#endif /* CUDA_DISABLER */
|
||||
#endif /* CUDA_DISABLER */
|
||||
|
@ -42,7 +42,7 @@
|
||||
|
||||
#if !defined CUDA_DISABLER
|
||||
|
||||
#include "internal_shared.hpp"
|
||||
#include "opencv2/gpu/device/common.hpp"
|
||||
|
||||
namespace cv { namespace gpu { namespace device
|
||||
{
|
||||
|
@ -42,7 +42,7 @@
|
||||
|
||||
#if !defined CUDA_DISABLER
|
||||
|
||||
#include "internal_shared.hpp"
|
||||
#include "opencv2/gpu/device/common.hpp"
|
||||
|
||||
namespace cv { namespace gpu { namespace device
|
||||
{
|
||||
@ -537,4 +537,4 @@ namespace cv { namespace gpu { namespace device
|
||||
}}} // namespace cv { namespace gpu { namespace device
|
||||
|
||||
|
||||
#endif /* CUDA_DISABLER */
|
||||
#endif /* CUDA_DISABLER */
|
||||
|
@ -42,7 +42,7 @@
|
||||
|
||||
#if !defined CUDA_DISABLER
|
||||
|
||||
#include "internal_shared.hpp"
|
||||
#include "opencv2/gpu/device/common.hpp"
|
||||
#include "opencv2/gpu/device/saturate_cast.hpp"
|
||||
#include "opencv2/gpu/device/limits.hpp"
|
||||
|
||||
@ -535,4 +535,4 @@ namespace cv { namespace gpu { namespace device
|
||||
} // namespace stereobp
|
||||
}}} // namespace cv { namespace gpu { namespace device
|
||||
|
||||
#endif /* CUDA_DISABLER */
|
||||
#endif /* CUDA_DISABLER */
|
||||
|
@ -42,7 +42,7 @@
|
||||
|
||||
#if !defined CUDA_DISABLER
|
||||
|
||||
#include "internal_shared.hpp"
|
||||
#include "opencv2/gpu/device/common.hpp"
|
||||
#include "opencv2/gpu/device/border_interpolate.hpp"
|
||||
#include "opencv2/gpu/device/vec_traits.hpp"
|
||||
#include "opencv2/gpu/device/vec_math.hpp"
|
||||
|
@ -54,7 +54,7 @@ namespace
|
||||
struct ErrorEntry
|
||||
{
|
||||
int code;
|
||||
String str;
|
||||
const char* str;
|
||||
};
|
||||
|
||||
struct ErrorEntryComparer
|
||||
@ -68,12 +68,10 @@ namespace
|
||||
{
|
||||
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
|
||||
|
||||
const String& msg = (idx != n) ? errors[idx].str : String("Unknown error code");
|
||||
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
|
||||
String str = cv::format("%s [Code = %d]", msg, code);
|
||||
|
||||
std::ostringstream ostr;
|
||||
ostr << msg << " [Code = " << code << "]";
|
||||
|
||||
return ostr.str();
|
||||
return str;
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
|
@ -2099,7 +2099,7 @@ NCVStatus ncvGrowDetectionsVector_host(NCVVector<Ncv32u> &pixelMask,
|
||||
}
|
||||
|
||||
|
||||
NCVStatus loadFromXML(const String &filename,
|
||||
NCVStatus loadFromXML(const cv::String &filename,
|
||||
HaarClassifierCascadeDescriptor &haar,
|
||||
std::vector<HaarStage64> &haarStages,
|
||||
std::vector<HaarClassifierNode128> &haarClassifierNodes,
|
||||
@ -2110,7 +2110,7 @@ NCVStatus loadFromXML(const String &filename,
|
||||
#define NVBIN_HAAR_VERSION 0x1
|
||||
|
||||
|
||||
static NCVStatus loadFromNVBIN(const String &filename,
|
||||
static NCVStatus loadFromNVBIN(const cv::String &filename,
|
||||
HaarClassifierCascadeDescriptor &haar,
|
||||
std::vector<HaarStage64> &haarStages,
|
||||
std::vector<HaarClassifierNode128> &haarClassifierNodes,
|
||||
@ -2174,14 +2174,14 @@ static NCVStatus loadFromNVBIN(const String &filename,
|
||||
}
|
||||
|
||||
|
||||
NCVStatus ncvHaarGetClassifierSize(const String &filename, Ncv32u &numStages,
|
||||
NCVStatus ncvHaarGetClassifierSize(const cv::String &filename, Ncv32u &numStages,
|
||||
Ncv32u &numNodes, Ncv32u &numFeatures)
|
||||
{
|
||||
size_t readCount;
|
||||
NCVStatus ncvStat;
|
||||
|
||||
String fext = filename.substr(filename.find_last_of(".") + 1);
|
||||
std::transform(fext.begin(), fext.end(), fext.begin(), ::tolower);
|
||||
cv::String fext = filename.substr(filename.find_last_of(".") + 1);
|
||||
fext = fext.toLowerCase();
|
||||
|
||||
if (fext == "nvbin")
|
||||
{
|
||||
@ -2226,7 +2226,7 @@ NCVStatus ncvHaarGetClassifierSize(const String &filename, Ncv32u &numStages,
|
||||
}
|
||||
|
||||
|
||||
NCVStatus ncvHaarLoadFromFile_host(const String &filename,
|
||||
NCVStatus ncvHaarLoadFromFile_host(const cv::String &filename,
|
||||
HaarClassifierCascadeDescriptor &haar,
|
||||
NCVVector<HaarStage64> &h_HaarStages,
|
||||
NCVVector<HaarClassifierNode128> &h_HaarNodes,
|
||||
@ -2238,8 +2238,8 @@ NCVStatus ncvHaarLoadFromFile_host(const String &filename,
|
||||
|
||||
NCVStatus ncvStat;
|
||||
|
||||
String fext = filename.substr(filename.find_last_of(".") + 1);
|
||||
std::transform(fext.begin(), fext.end(), fext.begin(), ::tolower);
|
||||
cv::String fext = filename.substr(filename.find_last_of(".") + 1);
|
||||
fext = fext.toLowerCase();
|
||||
|
||||
std::vector<HaarStage64> haarStages;
|
||||
std::vector<HaarClassifierNode128> haarNodes;
|
||||
@ -2272,7 +2272,7 @@ NCVStatus ncvHaarLoadFromFile_host(const String &filename,
|
||||
}
|
||||
|
||||
|
||||
NCVStatus ncvHaarStoreNVBIN_host(const String &filename,
|
||||
NCVStatus ncvHaarStoreNVBIN_host(const cv::String &filename,
|
||||
HaarClassifierCascadeDescriptor haar,
|
||||
NCVVector<HaarStage64> &h_HaarStages,
|
||||
NCVVector<HaarClassifierNode128> &h_HaarNodes,
|
||||
|
@ -438,18 +438,18 @@ NCV_EXPORTS NCVStatus ncvGrowDetectionsVector_host(NCVVector<Ncv32u> &pixelMask,
|
||||
Ncv32f curScale);
|
||||
|
||||
|
||||
NCV_EXPORTS NCVStatus ncvHaarGetClassifierSize(const String &filename, Ncv32u &numStages,
|
||||
NCV_EXPORTS NCVStatus ncvHaarGetClassifierSize(const cv::String &filename, Ncv32u &numStages,
|
||||
Ncv32u &numNodes, Ncv32u &numFeatures);
|
||||
|
||||
|
||||
NCV_EXPORTS NCVStatus ncvHaarLoadFromFile_host(const String &filename,
|
||||
NCV_EXPORTS NCVStatus ncvHaarLoadFromFile_host(const cv::String &filename,
|
||||
HaarClassifierCascadeDescriptor &haar,
|
||||
NCVVector<HaarStage64> &h_HaarStages,
|
||||
NCVVector<HaarClassifierNode128> &h_HaarNodes,
|
||||
NCVVector<HaarFeature64> &h_HaarFeatures);
|
||||
|
||||
|
||||
NCV_EXPORTS NCVStatus ncvHaarStoreNVBIN_host(const String &filename,
|
||||
NCV_EXPORTS NCVStatus ncvHaarStoreNVBIN_host(const cv::String &filename,
|
||||
HaarClassifierCascadeDescriptor haar,
|
||||
NCVVector<HaarStage64> &h_HaarStages,
|
||||
NCVVector<HaarClassifierNode128> &h_HaarNodes,
|
||||
@ -457,4 +457,4 @@ NCV_EXPORTS NCVStatus ncvHaarStoreNVBIN_host(const String &filename,
|
||||
|
||||
|
||||
|
||||
#endif // _ncvhaarobjectdetection_hpp_
|
||||
#endif // _ncvhaarobjectdetection_hpp_
|
||||
|
@ -52,16 +52,16 @@
|
||||
//==============================================================================
|
||||
|
||||
|
||||
static void stdDebugOutput(const String &msg)
|
||||
static void stdDebugOutput(const cv::String &msg)
|
||||
{
|
||||
std::cout << msg;
|
||||
std::cout << msg.c_str() << std::endl;
|
||||
}
|
||||
|
||||
|
||||
static NCVDebugOutputHandler *debugOutputHandler = stdDebugOutput;
|
||||
|
||||
|
||||
void ncvDebugOutput(const String &msg)
|
||||
void ncvDebugOutput(const cv::String &msg)
|
||||
{
|
||||
debugOutputHandler(msg);
|
||||
}
|
||||
@ -905,4 +905,4 @@ NCVStatus ncvDrawRects_32u_device(Ncv32u *d_dst,
|
||||
return drawRectsWrapperDevice(d_dst, dstStride, dstWidth, dstHeight, d_rects, numRects, color, cuStream);
|
||||
}
|
||||
|
||||
#endif /* CUDA_DISABLER */
|
||||
#endif /* CUDA_DISABLER */
|
||||
|
@ -53,8 +53,8 @@
|
||||
#endif
|
||||
|
||||
#include <cuda_runtime.h>
|
||||
#include <sstream>
|
||||
#include <iostream>
|
||||
#include "opencv2/core/cvstd.hpp"
|
||||
#include "opencv2/core/utility.hpp"
|
||||
|
||||
|
||||
//==============================================================================
|
||||
@ -243,10 +243,10 @@ const Ncv32u K_LOG2_WARP_SIZE = 5;
|
||||
//==============================================================================
|
||||
|
||||
|
||||
NCV_EXPORTS void ncvDebugOutput(const String &msg);
|
||||
NCV_EXPORTS void ncvDebugOutput(const cv::String &msg);
|
||||
|
||||
|
||||
typedef void NCVDebugOutputHandler(const String &msg);
|
||||
typedef void NCVDebugOutputHandler(const cv::String &msg);
|
||||
|
||||
|
||||
NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
|
||||
@ -257,9 +257,8 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
|
||||
{ \
|
||||
if (!(pred)) \
|
||||
{ \
|
||||
std::ostringstream oss; \
|
||||
oss << "NCV Assertion Failed: " << msg << ", file=" << __FILE__ << ", line=" << __LINE__ << std::endl; \
|
||||
ncvDebugOutput(oss.str()); \
|
||||
cv::String str = cv::format("NCV Assertion Failed: %s, file=%s, line=%d", msg, __FILE__, __LINE__); \
|
||||
ncvDebugOutput(str); \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
@ -273,14 +272,19 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
|
||||
|
||||
|
||||
#define ncvAssertReturn(pred, err) \
|
||||
ncvAssertPrintReturn(pred, "retcode=" << (int)err, err)
|
||||
do \
|
||||
{ \
|
||||
cv::String msg = cv::format("retcode=%d", (int)err); \
|
||||
ncvAssertPrintReturn(pred, msg.c_str(), err); \
|
||||
} while (0)
|
||||
|
||||
|
||||
#define ncvAssertReturnNcvStat(ncvOp) \
|
||||
do \
|
||||
{ \
|
||||
NCVStatus _ncvStat = ncvOp; \
|
||||
ncvAssertPrintReturn(NCV_SUCCESS==_ncvStat, "NcvStat=" << (int)_ncvStat, _ncvStat); \
|
||||
cv::String msg = cv::format("NcvStat=%d", (int)_ncvStat); \
|
||||
ncvAssertPrintReturn(NCV_SUCCESS==_ncvStat, msg.c_str(), _ncvStat); \
|
||||
} while (0)
|
||||
|
||||
|
||||
@ -288,7 +292,8 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
|
||||
do \
|
||||
{ \
|
||||
cudaError_t res = cudacall; \
|
||||
ncvAssertPrintReturn(cudaSuccess==res, "cudaError_t=" << (int)res, errCode); \
|
||||
cv::String msg = cv::format("cudaError_t=%d", (int)res); \
|
||||
ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
|
||||
} while (0)
|
||||
|
||||
|
||||
@ -296,7 +301,8 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
|
||||
do \
|
||||
{ \
|
||||
cudaError_t res = cudaGetLastError(); \
|
||||
ncvAssertPrintReturn(cudaSuccess==res, "cudaError_t=" << (int)res, errCode); \
|
||||
cv::String msg = cv::format("cudaError_t=%d", (int)res); \
|
||||
ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
|
||||
} while (0)
|
||||
|
||||
|
||||
@ -805,7 +811,7 @@ public:
|
||||
T& at(Ncv32u x, Ncv32u y) const
|
||||
{
|
||||
NcvBool bOutRange = (x >= this->_width || y >= this->_height);
|
||||
ncvAssertPrintCheck(!bOutRange, "Error addressing matrix at [" << x << ", " << y << "]");
|
||||
ncvAssertPrintCheck(!bOutRange, "Error addressing matrix");
|
||||
if (bOutRange)
|
||||
{
|
||||
return *this->_ptr;
|
||||
|
@ -65,6 +65,8 @@
|
||||
#include <stdexcept>
|
||||
#include <memory>
|
||||
|
||||
#include "opencv2/core.hpp"
|
||||
#include "opencv2/core/utility.hpp"
|
||||
#include "opencv2/gpu.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
#include "opencv2/imgproc/imgproc_c.h"
|
||||
|
@ -736,7 +736,7 @@ void NVENCAPI cv::gpu::VideoWriter_GPU::Impl::HandleOnEndFrame(const NVVE_EndFra
|
||||
class EncoderCallBackFFMPEG : public cv::gpu::VideoWriter_GPU::EncoderCallBack
|
||||
{
|
||||
public:
|
||||
EncoderCallBackFFMPEG(const String& fileName, cv::Size frameSize, double fps);
|
||||
EncoderCallBackFFMPEG(const cv::String& fileName, cv::Size frameSize, double fps);
|
||||
~EncoderCallBackFFMPEG();
|
||||
|
||||
unsigned char* acquireBitStream(int* bufferSize);
|
||||
@ -799,7 +799,7 @@ namespace
|
||||
}
|
||||
}
|
||||
|
||||
EncoderCallBackFFMPEG::EncoderCallBackFFMPEG(const String& fileName, cv::Size frameSize, double fps) :
|
||||
EncoderCallBackFFMPEG::EncoderCallBackFFMPEG(const cv::String& fileName, cv::Size frameSize, double fps) :
|
||||
stream_(0), isKeyFrame_(false)
|
||||
{
|
||||
int buf_size = std::max(frameSize.area() * 4, 1024 * 1024);
|
||||
|
@ -271,7 +271,7 @@ void generateHaarApplicationTests(NCVAutoTestLister &testLister, NCVTestSourcePr
|
||||
}
|
||||
}
|
||||
|
||||
static void devNullOutput(const std::string& msg)
|
||||
static void devNullOutput(const cv::String& msg)
|
||||
{
|
||||
(void)msg;
|
||||
}
|
||||
|
@ -46,7 +46,7 @@
|
||||
|
||||
using namespace cvtest;
|
||||
|
||||
#if CUDA_VERSION >= 5000
|
||||
#if CUDART_VERSION >= 5000
|
||||
|
||||
struct Async : testing::TestWithParam<cv::gpu::DeviceInfo>
|
||||
{
|
||||
|
@ -223,6 +223,9 @@ namespace
|
||||
}
|
||||
|
||||
private:
|
||||
SURF_GPU_Invoker(const SURF_GPU_Invoker&);
|
||||
SURF_GPU_Invoker& operator =(const SURF_GPU_Invoker&);
|
||||
|
||||
SURF_GPU& surf_;
|
||||
|
||||
int img_cols, img_rows;
|
||||
|
@ -82,8 +82,8 @@ typedef unsigned char uchar;
|
||||
}
|
||||
|
||||
template<int FACTOR>
|
||||
__global__ void shrink(const uchar* __restrict__ hogluv, const int inPitch,
|
||||
uchar* __restrict__ shrank, const int outPitch )
|
||||
__global__ void shrink(const uchar* __restrict__ hogluv, const size_t inPitch,
|
||||
uchar* __restrict__ shrank, const size_t outPitch )
|
||||
{
|
||||
const int y = blockIdx.y * blockDim.y + threadIdx.y;
|
||||
const int x = blockIdx.x * blockDim.x + threadIdx.x;
|
||||
@ -127,7 +127,7 @@ typedef unsigned char uchar;
|
||||
__v = static_cast<uchar>((V + 140.f) * (255.f / (122.f + 140.f )));
|
||||
}
|
||||
|
||||
__global__ void bgr2Luv_d(const uchar* rgb, const int rgbPitch, uchar* luvg, const int luvgPitch)
|
||||
__global__ void bgr2Luv_d(const uchar* rgb, const size_t rgbPitch, uchar* luvg, const size_t luvgPitch)
|
||||
{
|
||||
const int y = blockIdx.y * blockDim.y + threadIdx.y;
|
||||
const int x = blockIdx.x * blockDim.x + threadIdx.x;
|
||||
@ -256,8 +256,8 @@ typedef unsigned char uchar;
|
||||
|
||||
// ToDo: use textures or uncached load instruction.
|
||||
__global__ void magToHist(const uchar* __restrict__ mag,
|
||||
const float* __restrict__ angle, const int angPitch,
|
||||
uchar* __restrict__ hog, const int hogPitch, const int fh)
|
||||
const float* __restrict__ angle, const size_t angPitch,
|
||||
uchar* __restrict__ hog, const size_t hogPitch, const int fh)
|
||||
{
|
||||
const int y = blockIdx.y * blockDim.y + threadIdx.y;
|
||||
const int x = blockIdx.x * blockDim.x + threadIdx.x;
|
||||
|
@ -274,7 +274,7 @@ struct cv::softcascade::SCascade::Fields
|
||||
|
||||
bool check(float mins,float maxs, int scales)
|
||||
{
|
||||
bool updated = ((minScale == mins) || (maxScale == maxs) || (totals = scales));
|
||||
bool updated = ((minScale == mins) || (maxScale == maxs) || (totals == scales));
|
||||
|
||||
minScale = mins;
|
||||
maxScale = maxScale;
|
||||
|
Loading…
x
Reference in New Issue
Block a user