mirror of
https://github.com/opencv/opencv.git
synced 2024-11-29 05:29:54 +08:00
Merge pull request #512 from jet47:core-gpu-updates
This commit is contained in:
Andrey Kamaev
OpenCV Buildbot
commit
decf04dfec
@ -73,12 +73,16 @@ namespace cv { namespace gpu
|
||||
FEATURE_SET_COMPUTE_20 = 20,
|
||||
FEATURE_SET_COMPUTE_21 = 21,
|
||||
FEATURE_SET_COMPUTE_30 = 30,
|
||||
FEATURE_SET_COMPUTE_35 = 35,
|
||||
|
||||
GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11,
|
||||
SHARED_ATOMICS = FEATURE_SET_COMPUTE_12,
|
||||
NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13,
|
||||
WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30
|
||||
WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30,
|
||||
DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35
|
||||
};
|
||||
|
||||
// Checks whether current device supports the given feature
|
||||
CV_EXPORTS bool deviceSupports(FeatureSet feature_set);
|
||||
|
||||
// Gives information about what GPU archs this OpenCV GPU module was
|
||||
@ -116,6 +120,9 @@ namespace cv { namespace gpu
|
||||
|
||||
int multiProcessorCount() const { return multi_processor_count_; }
|
||||
|
||||
size_t sharedMemPerBlock() const;
|
||||
|
||||
void queryMemory(size_t& totalMemory, size_t& freeMemory) const;
|
||||
size_t freeMemory() const;
|
||||
size_t totalMemory() const;
|
||||
|
||||
@ -129,7 +136,6 @@ namespace cv { namespace gpu
|
||||
|
||||
private:
|
||||
void query();
|
||||
void queryMemory(size_t& free_memory, size_t& total_memory) const;
|
||||
|
||||
int device_id_;
|
||||
|
||||
@ -549,29 +555,6 @@ namespace cv { namespace gpu
|
||||
{
|
||||
ensureSizeIsEnough(size.height, size.width, type, m);
|
||||
}
|
||||
|
||||
inline void createContinuous(int rows, int cols, int type, GpuMat& m)
|
||||
{
|
||||
int area = rows * cols;
|
||||
if (!m.isContinuous() || m.type() != type || m.size().area() != area)
|
||||
ensureSizeIsEnough(1, area, type, m);
|
||||
m = m.reshape(0, rows);
|
||||
}
|
||||
|
||||
inline void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m)
|
||||
{
|
||||
if (m.type() == type && m.rows >= rows && m.cols >= cols)
|
||||
m = m(Rect(0, 0, cols, rows));
|
||||
else
|
||||
m.create(rows, cols, type);
|
||||
}
|
||||
|
||||
inline GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat)
|
||||
{
|
||||
if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
|
||||
return mat(Rect(0, 0, cols, rows));
|
||||
return mat = GpuMat(rows, cols, type);
|
||||
}
|
||||
}}
|
||||
|
||||
#endif // __cplusplus
|
||||
|
||||
@ -48,8 +48,8 @@
|
||||
#include <cuda_runtime.h>
|
||||
#include <npp.h>
|
||||
|
||||
#define CUDART_MINIMUM_REQUIRED_VERSION 4010
|
||||
#define NPP_MINIMUM_REQUIRED_VERSION 4100
|
||||
#define CUDART_MINIMUM_REQUIRED_VERSION 4020
|
||||
#define NPP_MINIMUM_REQUIRED_VERSION 4200
|
||||
|
||||
#if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
|
||||
#error "Insufficient Cuda Runtime library version, please update it."
|
||||
@ -64,8 +64,108 @@ using namespace std;
|
||||
using namespace cv;
|
||||
using namespace cv::gpu;
|
||||
|
||||
#ifndef HAVE_CUDA
|
||||
|
||||
#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
|
||||
|
||||
#else // HAVE_CUDA
|
||||
|
||||
namespace
|
||||
{
|
||||
#if defined(__GNUC__)
|
||||
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
|
||||
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
|
||||
#else /* defined(__CUDACC__) || defined(__MSVC__) */
|
||||
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
|
||||
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
|
||||
#endif
|
||||
|
||||
inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
|
||||
{
|
||||
if (cudaSuccess != err)
|
||||
cv::gpu::error(cudaGetErrorString(err), file, line, func);
|
||||
}
|
||||
|
||||
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
|
||||
{
|
||||
if (err < 0)
|
||||
{
|
||||
std::ostringstream msg;
|
||||
msg << "NPP API Call Error: " << err;
|
||||
cv::gpu::error(msg.str().c_str(), file, line, func);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#endif // HAVE_CUDA
|
||||
|
||||
//////////////////////////////// Initialization & Info ////////////////////////
|
||||
|
||||
#ifndef HAVE_CUDA
|
||||
|
||||
int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
|
||||
|
||||
void cv::gpu::setDevice(int) { throw_nogpu; }
|
||||
int cv::gpu::getDevice() { throw_nogpu; return 0; }
|
||||
|
||||
void cv::gpu::resetDevice() { throw_nogpu; }
|
||||
|
||||
bool cv::gpu::deviceSupports(FeatureSet) { throw_nogpu; return false; }
|
||||
|
||||
bool cv::gpu::TargetArchs::builtWith(FeatureSet) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::has(int, int) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::hasPtx(int, int) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::hasBin(int, int) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int, int) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::hasEqualOrGreater(int, int) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int, int) { throw_nogpu; return false; }
|
||||
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int, int) { throw_nogpu; return false; }
|
||||
|
||||
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const { throw_nogpu; return 0; }
|
||||
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
|
||||
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
|
||||
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
|
||||
bool cv::gpu::DeviceInfo::supports(FeatureSet) const { throw_nogpu; return false; }
|
||||
bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
|
||||
void cv::gpu::DeviceInfo::query() { throw_nogpu; }
|
||||
|
||||
void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
|
||||
void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
|
||||
|
||||
#else // HAVE_CUDA
|
||||
|
||||
int cv::gpu::getCudaEnabledDeviceCount()
|
||||
{
|
||||
int count;
|
||||
cudaError_t error = cudaGetDeviceCount( &count );
|
||||
|
||||
if (error == cudaErrorInsufficientDriver)
|
||||
return -1;
|
||||
|
||||
if (error == cudaErrorNoDevice)
|
||||
return 0;
|
||||
|
||||
cudaSafeCall( error );
|
||||
return count;
|
||||
}
|
||||
|
||||
void cv::gpu::setDevice(int device)
|
||||
{
|
||||
cudaSafeCall( cudaSetDevice( device ) );
|
||||
}
|
||||
|
||||
int cv::gpu::getDevice()
|
||||
{
|
||||
int device;
|
||||
cudaSafeCall( cudaGetDevice( &device ) );
|
||||
return device;
|
||||
}
|
||||
|
||||
void cv::gpu::resetDevice()
|
||||
{
|
||||
cudaSafeCall( cudaDeviceReset() );
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
class CudaArch
|
||||
@ -92,11 +192,9 @@ namespace
|
||||
|
||||
CudaArch::CudaArch()
|
||||
{
|
||||
#ifdef HAVE_CUDA
|
||||
fromStr(CUDA_ARCH_BIN, bin);
|
||||
fromStr(CUDA_ARCH_PTX, ptx);
|
||||
fromStr(CUDA_ARCH_FEATURES, features);
|
||||
#endif
|
||||
}
|
||||
|
||||
bool CudaArch::builtWith(FeatureSet feature_set) const
|
||||
@ -149,12 +247,7 @@ namespace
|
||||
|
||||
bool cv::gpu::TargetArchs::builtWith(cv::gpu::FeatureSet feature_set)
|
||||
{
|
||||
#if defined (HAVE_CUDA)
|
||||
return cudaArch.builtWith(feature_set);
|
||||
#else
|
||||
(void)feature_set;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool cv::gpu::TargetArchs::has(int major, int minor)
|
||||
@ -164,35 +257,17 @@ bool cv::gpu::TargetArchs::has(int major, int minor)
|
||||
|
||||
bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
|
||||
{
|
||||
#if defined (HAVE_CUDA)
|
||||
return cudaArch.hasPtx(major, minor);
|
||||
#else
|
||||
(void)major;
|
||||
(void)minor;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool cv::gpu::TargetArchs::hasBin(int major, int minor)
|
||||
{
|
||||
#if defined (HAVE_CUDA)
|
||||
return cudaArch.hasBin(major, minor);
|
||||
#else
|
||||
(void)major;
|
||||
(void)minor;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
|
||||
{
|
||||
#if defined (HAVE_CUDA)
|
||||
return cudaArch.hasEqualOrLessPtx(major, minor);
|
||||
#else
|
||||
(void)major;
|
||||
(void)minor;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
|
||||
@ -202,24 +277,12 @@ bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
|
||||
|
||||
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
|
||||
{
|
||||
#if defined (HAVE_CUDA)
|
||||
return cudaArch.hasEqualOrGreaterPtx(major, minor);
|
||||
#else
|
||||
(void)major;
|
||||
(void)minor;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
|
||||
{
|
||||
#if defined (HAVE_CUDA)
|
||||
return cudaArch.hasEqualOrGreaterBin(major, minor);
|
||||
#else
|
||||
(void)major;
|
||||
(void)minor;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool cv::gpu::deviceSupports(FeatureSet feature_set)
|
||||
@ -247,108 +310,84 @@ bool cv::gpu::deviceSupports(FeatureSet feature_set)
|
||||
return TargetArchs::builtWith(feature_set) && (version >= feature_set);
|
||||
}
|
||||
|
||||
#if !defined (HAVE_CUDA)
|
||||
|
||||
#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
|
||||
|
||||
int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
|
||||
|
||||
void cv::gpu::setDevice(int) { throw_nogpu; }
|
||||
int cv::gpu::getDevice() { throw_nogpu; return 0; }
|
||||
|
||||
void cv::gpu::resetDevice() { throw_nogpu; }
|
||||
|
||||
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
|
||||
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
|
||||
|
||||
bool cv::gpu::DeviceInfo::supports(cv::gpu::FeatureSet) const { throw_nogpu; return false; }
|
||||
|
||||
bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
|
||||
|
||||
void cv::gpu::DeviceInfo::query() { throw_nogpu; }
|
||||
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
|
||||
|
||||
void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
|
||||
void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
|
||||
|
||||
#undef throw_nogpu
|
||||
|
||||
#else // HAVE_CUDA
|
||||
|
||||
namespace
|
||||
{
|
||||
#if defined(__GNUC__)
|
||||
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
|
||||
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
|
||||
#else /* defined(__CUDACC__) || defined(__MSVC__) */
|
||||
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
|
||||
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
|
||||
#endif
|
||||
|
||||
inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
|
||||
class DeviceProps
|
||||
{
|
||||
if (cudaSuccess != err)
|
||||
cv::gpu::error(cudaGetErrorString(err), file, line, func);
|
||||
public:
|
||||
DeviceProps();
|
||||
~DeviceProps();
|
||||
|
||||
cudaDeviceProp* get(int devID);
|
||||
|
||||
private:
|
||||
std::vector<cudaDeviceProp*> props_;
|
||||
};
|
||||
|
||||
DeviceProps::DeviceProps()
|
||||
{
|
||||
props_.resize(10, 0);
|
||||
}
|
||||
|
||||
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
|
||||
DeviceProps::~DeviceProps()
|
||||
{
|
||||
if (err < 0)
|
||||
for (size_t i = 0; i < props_.size(); ++i)
|
||||
{
|
||||
std::ostringstream msg;
|
||||
msg << "NPP API Call Error: " << err;
|
||||
cv::gpu::error(msg.str().c_str(), file, line, func);
|
||||
if (props_[i])
|
||||
delete props_[i];
|
||||
}
|
||||
props_.clear();
|
||||
}
|
||||
|
||||
cudaDeviceProp* DeviceProps::get(int devID)
|
||||
{
|
||||
if (devID >= (int) props_.size())
|
||||
props_.resize(devID + 5, 0);
|
||||
|
||||
if (!props_[devID])
|
||||
{
|
||||
props_[devID] = new cudaDeviceProp;
|
||||
cudaSafeCall( cudaGetDeviceProperties(props_[devID], devID) );
|
||||
}
|
||||
|
||||
return props_[devID];
|
||||
}
|
||||
|
||||
DeviceProps deviceProps;
|
||||
}
|
||||
|
||||
int cv::gpu::getCudaEnabledDeviceCount()
|
||||
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const
|
||||
{
|
||||
int count;
|
||||
cudaError_t error = cudaGetDeviceCount( &count );
|
||||
|
||||
if (error == cudaErrorInsufficientDriver)
|
||||
return -1;
|
||||
|
||||
if (error == cudaErrorNoDevice)
|
||||
return 0;
|
||||
|
||||
cudaSafeCall(error);
|
||||
return count;
|
||||
return deviceProps.get(device_id_)->sharedMemPerBlock;
|
||||
}
|
||||
|
||||
void cv::gpu::setDevice(int device)
|
||||
void cv::gpu::DeviceInfo::queryMemory(size_t& totalMemory, size_t& freeMemory) const
|
||||
{
|
||||
cudaSafeCall( cudaSetDevice( device ) );
|
||||
}
|
||||
int prevDeviceID = getDevice();
|
||||
if (prevDeviceID != device_id_)
|
||||
setDevice(device_id_);
|
||||
|
||||
int cv::gpu::getDevice()
|
||||
{
|
||||
int device;
|
||||
cudaSafeCall( cudaGetDevice( &device ) );
|
||||
return device;
|
||||
}
|
||||
cudaSafeCall( cudaMemGetInfo(&freeMemory, &totalMemory) );
|
||||
|
||||
void cv::gpu::resetDevice()
|
||||
{
|
||||
cudaSafeCall( cudaDeviceReset() );
|
||||
if (prevDeviceID != device_id_)
|
||||
setDevice(prevDeviceID);
|
||||
}
|
||||
|
||||
size_t cv::gpu::DeviceInfo::freeMemory() const
|
||||
{
|
||||
size_t free_memory, total_memory;
|
||||
queryMemory(free_memory, total_memory);
|
||||
return free_memory;
|
||||
size_t totalMemory, freeMemory;
|
||||
queryMemory(totalMemory, freeMemory);
|
||||
return freeMemory;
|
||||
}
|
||||
|
||||
size_t cv::gpu::DeviceInfo::totalMemory() const
|
||||
{
|
||||
size_t free_memory, total_memory;
|
||||
queryMemory(free_memory, total_memory);
|
||||
return total_memory;
|
||||
size_t totalMemory, freeMemory;
|
||||
queryMemory(totalMemory, freeMemory);
|
||||
return totalMemory;
|
||||
}
|
||||
|
||||
bool cv::gpu::DeviceInfo::supports(cv::gpu::FeatureSet feature_set) const
|
||||
bool cv::gpu::DeviceInfo::supports(FeatureSet feature_set) const
|
||||
{
|
||||
int version = majorVersion() * 10 + minorVersion();
|
||||
return version >= feature_set;
|
||||
@ -370,24 +409,12 @@ bool cv::gpu::DeviceInfo::isCompatible() const
|
||||
|
||||
void cv::gpu::DeviceInfo::query()
|
||||
{
|
||||
cudaDeviceProp prop;
|
||||
cudaSafeCall(cudaGetDeviceProperties(&prop, device_id_));
|
||||
name_ = prop.name;
|
||||
multi_processor_count_ = prop.multiProcessorCount;
|
||||
majorVersion_ = prop.major;
|
||||
minorVersion_ = prop.minor;
|
||||
}
|
||||
const cudaDeviceProp* prop = deviceProps.get(device_id_);
|
||||
|
||||
void cv::gpu::DeviceInfo::queryMemory(size_t& free_memory, size_t& total_memory) const
|
||||
{
|
||||
int prev_device_id = getDevice();
|
||||
if (prev_device_id != device_id_)
|
||||
setDevice(device_id_);
|
||||
|
||||
cudaSafeCall(cudaMemGetInfo(&free_memory, &total_memory));
|
||||
|
||||
if (prev_device_id != device_id_)
|
||||
setDevice(prev_device_id);
|
||||
name_ = prop->name;
|
||||
multi_processor_count_ = prop->multiProcessorCount;
|
||||
majorVersion_ = prop->major;
|
||||
minorVersion_ = prop->minor;
|
||||
}
|
||||
|
||||
namespace
|
||||
@ -764,6 +791,50 @@ cv::Mat::Mat(const GpuMat& m) : flags(0), dims(0), rows(0), cols(0), data(0), re
|
||||
m.download(*this);
|
||||
}
|
||||
|
||||
void cv::gpu::createContinuous(int rows, int cols, int type, GpuMat& m)
|
||||
{
|
||||
int area = rows * cols;
|
||||
if (m.empty() || m.type() != type || !m.isContinuous() || m.size().area() < area)
|
||||
m.create(1, area, type);
|
||||
|
||||
m.cols = cols;
|
||||
m.rows = rows;
|
||||
m.step = m.elemSize() * cols;
|
||||
m.flags |= Mat::CONTINUOUS_FLAG;
|
||||
}
|
||||
|
||||
void cv::gpu::ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m)
|
||||
{
|
||||
if (m.empty() || m.type() != type || m.data != m.datastart)
|
||||
m.create(rows, cols, type);
|
||||
else
|
||||
{
|
||||
const size_t esz = m.elemSize();
|
||||
const ptrdiff_t delta2 = m.dataend - m.datastart;
|
||||
|
||||
const size_t minstep = m.cols * esz;
|
||||
|
||||
Size wholeSize;
|
||||
wholeSize.height = std::max(static_cast<int>((delta2 - minstep) / m.step + 1), m.rows);
|
||||
wholeSize.width = std::max(static_cast<int>((delta2 - m.step * (wholeSize.height - 1)) / esz), m.cols);
|
||||
|
||||
if (wholeSize.height < rows || wholeSize.width < cols)
|
||||
m.create(rows, cols, type);
|
||||
else
|
||||
{
|
||||
m.cols = cols;
|
||||
m.rows = rows;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
GpuMat cv::gpu::allocMatFromBuf(int rows, int cols, int type, GpuMat &mat)
|
||||
{
|
||||
if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
|
||||
return mat(Rect(0, 0, cols, rows));
|
||||
return mat = GpuMat(rows, cols, type);
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
class GpuFuncTable
|
||||
@ -787,25 +858,25 @@ namespace
|
||||
};
|
||||
}
|
||||
|
||||
#if !defined HAVE_CUDA || defined(CUDA_DISABLER_)
|
||||
#ifndef HAVE_CUDA
|
||||
|
||||
namespace
|
||||
{
|
||||
class EmptyFuncTable : public GpuFuncTable
|
||||
{
|
||||
public:
|
||||
void copy(const Mat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copy(const GpuMat&, Mat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copy(const GpuMat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copy(const Mat&, GpuMat&) const { throw_nogpu; }
|
||||
void copy(const GpuMat&, Mat&) const { throw_nogpu; }
|
||||
void copy(const GpuMat&, GpuMat&) const { throw_nogpu; }
|
||||
|
||||
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { throw_nogpu; }
|
||||
|
||||
void convert(const GpuMat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void convert(const GpuMat&, GpuMat&, double, double) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void convert(const GpuMat&, GpuMat&) const { throw_nogpu; }
|
||||
void convert(const GpuMat&, GpuMat&, double, double) const { throw_nogpu; }
|
||||
|
||||
void setTo(GpuMat&, Scalar, const GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void setTo(GpuMat&, Scalar, const GpuMat&) const { throw_nogpu; }
|
||||
|
||||
void mallocPitch(void**, size_t*, size_t, size_t) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void mallocPitch(void**, size_t*, size_t, size_t) const { throw_nogpu; }
|
||||
void free(void*) const {}
|
||||
};
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user