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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include <iostream>
#include <vector>
#include "NCV.hpp"
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//==============================================================================
//
// Error handling helpers
//
//==============================================================================
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static void stdDebugOutput(const cv::String &msg)
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{
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std::cout << msg.c_str() << std::endl;
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}
static NCVDebugOutputHandler *debugOutputHandler = stdDebugOutput;
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void ncvDebugOutput(const cv::String &msg)
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{
debugOutputHandler(msg);
}
void ncvSetDebugOutputHandler(NCVDebugOutputHandler *func)
{
debugOutputHandler = func;
}
#if !defined CUDA_DISABLER
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//==============================================================================
//
// Memory wrappers and helpers
//
//==============================================================================
Ncv32u alignUp(Ncv32u what, Ncv32u alignment)
{
Ncv32u alignMask = alignment-1;
Ncv32u inverseAlignMask = ~alignMask;
Ncv32u res = (what + alignMask) & inverseAlignMask;
return res;
}
void NCVMemPtr::clear()
{
ptr = NULL;
memtype = NCVMemoryTypeNone;
}
void NCVMemSegment::clear()
{
begin.clear();
size = 0;
}
NCVStatus memSegCopyHelper(void *dst, NCVMemoryType dstType, const void *src, NCVMemoryType srcType, size_t sz, cudaStream_t cuStream)
{
NCVStatus ncvStat;
switch (dstType)
{
case NCVMemoryTypeHostPageable:
case NCVMemoryTypeHostPinned:
switch (srcType)
{
case NCVMemoryTypeHostPageable:
case NCVMemoryTypeHostPinned:
memcpy(dst, src, sz);
ncvStat = NCV_SUCCESS;
break;
case NCVMemoryTypeDevice:
if (cuStream != 0)
{
ncvAssertCUDAReturn(cudaMemcpyAsync(dst, src, sz, cudaMemcpyDeviceToHost, cuStream), NCV_CUDA_ERROR);
}
else
{
ncvAssertCUDAReturn(cudaMemcpy(dst, src, sz, cudaMemcpyDeviceToHost), NCV_CUDA_ERROR);
}
ncvStat = NCV_SUCCESS;
break;
default:
ncvStat = NCV_MEM_RESIDENCE_ERROR;
}
break;
case NCVMemoryTypeDevice:
switch (srcType)
{
case NCVMemoryTypeHostPageable:
case NCVMemoryTypeHostPinned:
if (cuStream != 0)
{
ncvAssertCUDAReturn(cudaMemcpyAsync(dst, src, sz, cudaMemcpyHostToDevice, cuStream), NCV_CUDA_ERROR);
}
else
{
ncvAssertCUDAReturn(cudaMemcpy(dst, src, sz, cudaMemcpyHostToDevice), NCV_CUDA_ERROR);
}
ncvStat = NCV_SUCCESS;
break;
case NCVMemoryTypeDevice:
if (cuStream != 0)
{
ncvAssertCUDAReturn(cudaMemcpyAsync(dst, src, sz, cudaMemcpyDeviceToDevice, cuStream), NCV_CUDA_ERROR);
}
else
{
ncvAssertCUDAReturn(cudaMemcpy(dst, src, sz, cudaMemcpyDeviceToDevice), NCV_CUDA_ERROR);
}
ncvStat = NCV_SUCCESS;
break;
default:
ncvStat = NCV_MEM_RESIDENCE_ERROR;
}
break;
default:
ncvStat = NCV_MEM_RESIDENCE_ERROR;
}
return ncvStat;
}
NCVStatus memSegCopyHelper2D(void *dst, Ncv32u dstPitch, NCVMemoryType dstType,
const void *src, Ncv32u srcPitch, NCVMemoryType srcType,
Ncv32u widthbytes, Ncv32u height, cudaStream_t cuStream)
{
NCVStatus ncvStat;
switch (dstType)
{
case NCVMemoryTypeHostPageable:
case NCVMemoryTypeHostPinned:
switch (srcType)
{
case NCVMemoryTypeHostPageable:
case NCVMemoryTypeHostPinned:
for (Ncv32u i=0; i<height; i++)
{
memcpy((char*)dst + i * dstPitch, (char*)src + i * srcPitch, widthbytes);
}
ncvStat = NCV_SUCCESS;
break;
case NCVMemoryTypeDevice:
if (cuStream != 0)
{
ncvAssertCUDAReturn(cudaMemcpy2DAsync(dst, dstPitch, src, srcPitch, widthbytes, height, cudaMemcpyDeviceToHost, cuStream), NCV_CUDA_ERROR);
}
else
{
ncvAssertCUDAReturn(cudaMemcpy2D(dst, dstPitch, src, srcPitch, widthbytes, height, cudaMemcpyDeviceToHost), NCV_CUDA_ERROR);
}
ncvStat = NCV_SUCCESS;
break;
default:
ncvStat = NCV_MEM_RESIDENCE_ERROR;
}
break;
case NCVMemoryTypeDevice:
switch (srcType)
{
case NCVMemoryTypeHostPageable:
case NCVMemoryTypeHostPinned:
if (cuStream != 0)
{
ncvAssertCUDAReturn(cudaMemcpy2DAsync(dst, dstPitch, src, srcPitch, widthbytes, height, cudaMemcpyHostToDevice, cuStream), NCV_CUDA_ERROR);
}
else
{
ncvAssertCUDAReturn(cudaMemcpy2D(dst, dstPitch, src, srcPitch, widthbytes, height, cudaMemcpyHostToDevice), NCV_CUDA_ERROR);
}
ncvStat = NCV_SUCCESS;
break;
case NCVMemoryTypeDevice:
if (cuStream != 0)
{
ncvAssertCUDAReturn(cudaMemcpy2DAsync(dst, dstPitch, src, srcPitch, widthbytes, height, cudaMemcpyDeviceToDevice, cuStream), NCV_CUDA_ERROR);
}
else
{
ncvAssertCUDAReturn(cudaMemcpy2D(dst, dstPitch, src, srcPitch, widthbytes, height, cudaMemcpyDeviceToDevice), NCV_CUDA_ERROR);
}
ncvStat = NCV_SUCCESS;
break;
default:
ncvStat = NCV_MEM_RESIDENCE_ERROR;
}
break;
default:
ncvStat = NCV_MEM_RESIDENCE_ERROR;
}
return ncvStat;
}
//===================================================================
//
// NCVMemStackAllocator class members implementation
//
//===================================================================
NCVMemStackAllocator::NCVMemStackAllocator(Ncv32u alignment_)
:
currentSize(0),
_maxSize(0),
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allocBegin(NULL),
begin(NULL),
end(NULL),
_memType(NCVMemoryTypeNone),
_alignment(alignment_),
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bReusesMemory(false)
{
NcvBool bProperAlignment = (alignment_ & (alignment_ - 1)) == 0;
ncvAssertPrintCheck(bProperAlignment, "NCVMemStackAllocator ctor:: alignment not power of 2");
}
NCVMemStackAllocator::NCVMemStackAllocator(NCVMemoryType memT, size_t capacity, Ncv32u alignment_, void *reusePtr)
:
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currentSize(0),
_maxSize(0),
allocBegin(NULL),
_memType(memT),
_alignment(alignment_)
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{
NcvBool bProperAlignment = (alignment_ & (alignment_ - 1)) == 0;
ncvAssertPrintCheck(bProperAlignment, "NCVMemStackAllocator ctor:: _alignment not power of 2");
ncvAssertPrintCheck(memT != NCVMemoryTypeNone, "NCVMemStackAllocator ctor:: Incorrect allocator type");
allocBegin = NULL;
if (reusePtr == NULL && capacity != 0)
{
bReusesMemory = false;
switch (memT)
{
case NCVMemoryTypeDevice:
ncvAssertCUDAReturn(cudaMalloc(&allocBegin, capacity), );
break;
case NCVMemoryTypeHostPinned:
ncvAssertCUDAReturn(cudaMallocHost(&allocBegin, capacity), );
break;
case NCVMemoryTypeHostPageable:
allocBegin = (Ncv8u *)malloc(capacity);
break;
default:;
}
}
else
{
bReusesMemory = true;
allocBegin = (Ncv8u *)reusePtr;
}
if (capacity == 0)
{
allocBegin = (Ncv8u *)(0x1);
}
if (!isCounting())
{
begin = allocBegin;
end = begin + capacity;
}
}
NCVMemStackAllocator::~NCVMemStackAllocator()
{
if (allocBegin != NULL)
{
ncvAssertPrintCheck(currentSize == 0, "NCVMemStackAllocator dtor:: not all objects were deallocated properly, forcing destruction");
if (!bReusesMemory && (allocBegin != (Ncv8u *)(0x1)))
{
switch (_memType)
{
case NCVMemoryTypeDevice:
ncvAssertCUDAReturn(cudaFree(allocBegin), );
break;
case NCVMemoryTypeHostPinned:
ncvAssertCUDAReturn(cudaFreeHost(allocBegin), );
break;
case NCVMemoryTypeHostPageable:
free(allocBegin);
break;
default:;
}
}
allocBegin = NULL;
}
}
NCVStatus NCVMemStackAllocator::alloc(NCVMemSegment &seg, size_t size)
{
seg.clear();
ncvAssertReturn(isInitialized(), NCV_ALLOCATOR_BAD_ALLOC);
size = alignUp(static_cast<Ncv32u>(size), this->_alignment);
this->currentSize += size;
this->_maxSize = std::max(this->_maxSize, this->currentSize);
if (!isCounting())
{
size_t availSize = end - begin;
ncvAssertReturn(size <= availSize, NCV_ALLOCATOR_INSUFFICIENT_CAPACITY);
}
seg.begin.ptr = begin;
seg.begin.memtype = this->_memType;
seg.size = size;
begin += size;
return NCV_SUCCESS;
}
NCVStatus NCVMemStackAllocator::dealloc(NCVMemSegment &seg)
{
ncvAssertReturn(isInitialized(), NCV_ALLOCATOR_BAD_ALLOC);
ncvAssertReturn(seg.begin.memtype == this->_memType, NCV_ALLOCATOR_BAD_DEALLOC);
ncvAssertReturn(seg.begin.ptr != NULL || isCounting(), NCV_ALLOCATOR_BAD_DEALLOC);
ncvAssertReturn(seg.begin.ptr == begin - seg.size, NCV_ALLOCATOR_DEALLOC_ORDER);
currentSize -= seg.size;
begin -= seg.size;
seg.clear();
ncvAssertReturn(allocBegin <= begin, NCV_ALLOCATOR_BAD_DEALLOC);
return NCV_SUCCESS;
}
NcvBool NCVMemStackAllocator::isInitialized(void) const
{
return ((this->_alignment & (this->_alignment-1)) == 0) && isCounting() || this->allocBegin != NULL;
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}
NcvBool NCVMemStackAllocator::isCounting(void) const
{
return this->_memType == NCVMemoryTypeNone;
}
NCVMemoryType NCVMemStackAllocator::memType(void) const
{
return this->_memType;
}
Ncv32u NCVMemStackAllocator::alignment(void) const
{
return this->_alignment;
}
size_t NCVMemStackAllocator::maxSize(void) const
{
return this->_maxSize;
}
//===================================================================
//
// NCVMemNativeAllocator class members implementation
//
//===================================================================
NCVMemNativeAllocator::NCVMemNativeAllocator(NCVMemoryType memT, Ncv32u alignment_)
:
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currentSize(0),
_maxSize(0),
_memType(memT),
_alignment(alignment_)
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{
ncvAssertPrintReturn(memT != NCVMemoryTypeNone, "NCVMemNativeAllocator ctor:: counting not permitted for this allocator type", );
}
NCVMemNativeAllocator::~NCVMemNativeAllocator()
{
ncvAssertPrintCheck(currentSize == 0, "NCVMemNativeAllocator dtor:: detected memory leak");
}
NCVStatus NCVMemNativeAllocator::alloc(NCVMemSegment &seg, size_t size)
{
seg.clear();
ncvAssertReturn(isInitialized(), NCV_ALLOCATOR_BAD_ALLOC);
switch (this->_memType)
{
case NCVMemoryTypeDevice:
ncvAssertCUDAReturn(cudaMalloc(&seg.begin.ptr, size), NCV_CUDA_ERROR);
break;
case NCVMemoryTypeHostPinned:
ncvAssertCUDAReturn(cudaMallocHost(&seg.begin.ptr, size), NCV_CUDA_ERROR);
break;
case NCVMemoryTypeHostPageable:
seg.begin.ptr = (Ncv8u *)malloc(size);
break;
default:;
}
this->currentSize += alignUp(static_cast<Ncv32u>(size), this->_alignment);
this->_maxSize = std::max(this->_maxSize, this->currentSize);
seg.begin.memtype = this->_memType;
seg.size = size;
return NCV_SUCCESS;
}
NCVStatus NCVMemNativeAllocator::dealloc(NCVMemSegment &seg)
{
ncvAssertReturn(isInitialized(), NCV_ALLOCATOR_BAD_ALLOC);
ncvAssertReturn(seg.begin.memtype == this->_memType, NCV_ALLOCATOR_BAD_DEALLOC);
ncvAssertReturn(seg.begin.ptr != NULL, NCV_ALLOCATOR_BAD_DEALLOC);
ncvAssertReturn(currentSize >= alignUp(static_cast<Ncv32u>(seg.size), this->_alignment), NCV_ALLOCATOR_BAD_DEALLOC);
currentSize -= alignUp(static_cast<Ncv32u>(seg.size), this->_alignment);
switch (this->_memType)
{
case NCVMemoryTypeDevice:
ncvAssertCUDAReturn(cudaFree(seg.begin.ptr), NCV_CUDA_ERROR);
break;
case NCVMemoryTypeHostPinned:
ncvAssertCUDAReturn(cudaFreeHost(seg.begin.ptr), NCV_CUDA_ERROR);
break;
case NCVMemoryTypeHostPageable:
free(seg.begin.ptr);
break;
default:;
}
seg.clear();
return NCV_SUCCESS;
}
NcvBool NCVMemNativeAllocator::isInitialized(void) const
{
return (this->_alignment != 0);
}
NcvBool NCVMemNativeAllocator::isCounting(void) const
{
return false;
}
NCVMemoryType NCVMemNativeAllocator::memType(void) const
{
return this->_memType;
}
Ncv32u NCVMemNativeAllocator::alignment(void) const
{
return this->_alignment;
}
size_t NCVMemNativeAllocator::maxSize(void) const
{
return this->_maxSize;
}
//===================================================================
//
// Time and timer routines
//
//===================================================================
typedef struct _NcvTimeMoment NcvTimeMoment;
#if defined(_WIN32) || defined(_WIN64)
#include <Windows.h>
typedef struct _NcvTimeMoment
{
LONGLONG moment, freq;
} NcvTimeMoment;
static void _ncvQueryMoment(NcvTimeMoment *t)
{
QueryPerformanceFrequency((LARGE_INTEGER *)&(t->freq));
QueryPerformanceCounter((LARGE_INTEGER *)&(t->moment));
}
double _ncvMomentToMicroseconds(NcvTimeMoment *t)
{
return 1000000.0 * t->moment / t->freq;
}
double _ncvMomentsDiffToMicroseconds(NcvTimeMoment *t1, NcvTimeMoment *t2)
{
return 1000000.0 * 2 * ((t2->moment) - (t1->moment)) / (t1->freq + t2->freq);
}
double _ncvMomentsDiffToMilliseconds(NcvTimeMoment *t1, NcvTimeMoment *t2)
{
return 1000.0 * 2 * ((t2->moment) - (t1->moment)) / (t1->freq + t2->freq);
}
#elif defined(__GNUC__)
#include <sys/time.h>
typedef struct _NcvTimeMoment
{
struct timeval tv;
struct timezone tz;
} NcvTimeMoment;
void _ncvQueryMoment(NcvTimeMoment *t)
{
gettimeofday(& t->tv, & t->tz);
}
double _ncvMomentToMicroseconds(NcvTimeMoment *t)
{
return 1000000.0 * t->tv.tv_sec + (double)t->tv.tv_usec;
}
double _ncvMomentsDiffToMicroseconds(NcvTimeMoment *t1, NcvTimeMoment *t2)
{
return (((double)t2->tv.tv_sec - (double)t1->tv.tv_sec) * 1000000 + (double)t2->tv.tv_usec - (double)t1->tv.tv_usec);
}
double _ncvMomentsDiffToMilliseconds(NcvTimeMoment *t1, NcvTimeMoment *t2)
{
return ((double)t2->tv.tv_sec - (double)t1->tv.tv_sec) * 1000;
}
#endif //#if defined(_WIN32) || defined(_WIN64)
struct _NcvTimer
{
NcvTimeMoment t1, t2;
};
NcvTimer ncvStartTimer(void)
{
struct _NcvTimer *t;
t = (struct _NcvTimer *)malloc(sizeof(struct _NcvTimer));
_ncvQueryMoment(&t->t1);
return t;
}
double ncvEndQueryTimerUs(NcvTimer t)
{
double res;
_ncvQueryMoment(&t->t2);
res = _ncvMomentsDiffToMicroseconds(&t->t1, &t->t2);
free(t);
return res;
}
double ncvEndQueryTimerMs(NcvTimer t)
{
double res;
_ncvQueryMoment(&t->t2);
res = _ncvMomentsDiffToMilliseconds(&t->t1, &t->t2);
free(t);
return res;
}
//===================================================================
//
// Operations with rectangles
//
//===================================================================
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//from OpenCV
void groupRectangles(std::vector<NcvRect32u> &hypotheses, int groupThreshold, double eps, std::vector<Ncv32u> *weights);
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NCVStatus ncvGroupRectangles_host(NCVVector<NcvRect32u> &hypotheses,
Ncv32u &numHypotheses,
Ncv32u minNeighbors,
Ncv32f intersectEps,
NCVVector<Ncv32u> *hypothesesWeights)
{
ncvAssertReturn(hypotheses.memType() == NCVMemoryTypeHostPageable ||
hypotheses.memType() == NCVMemoryTypeHostPinned, NCV_MEM_RESIDENCE_ERROR);
if (hypothesesWeights != NULL)
{
ncvAssertReturn(hypothesesWeights->memType() == NCVMemoryTypeHostPageable ||
hypothesesWeights->memType() == NCVMemoryTypeHostPinned, NCV_MEM_RESIDENCE_ERROR);
}
if (numHypotheses == 0)
{
return NCV_SUCCESS;
}
std::vector<NcvRect32u> rects(numHypotheses);
memcpy(&rects[0], hypotheses.ptr(), numHypotheses * sizeof(NcvRect32u));
std::vector<Ncv32u> weights;
if (hypothesesWeights != NULL)
{
groupRectangles(rects, minNeighbors, intersectEps, &weights);
}
else
{
groupRectangles(rects, minNeighbors, intersectEps, NULL);
}
numHypotheses = (Ncv32u)rects.size();
if (numHypotheses > 0)
{
memcpy(hypotheses.ptr(), &rects[0], numHypotheses * sizeof(NcvRect32u));
}
if (hypothesesWeights != NULL)
{
memcpy(hypothesesWeights->ptr(), &weights[0], numHypotheses * sizeof(Ncv32u));
}
return NCV_SUCCESS;
}
template <class T>
static NCVStatus drawRectsWrapperHost(T *h_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *h_rects,
Ncv32u numRects,
T color)
{
ncvAssertReturn(h_dst != NULL && h_rects != NULL, NCV_NULL_PTR);
ncvAssertReturn(dstWidth > 0 && dstHeight > 0, NCV_DIMENSIONS_INVALID);
ncvAssertReturn(dstStride >= dstWidth, NCV_INVALID_STEP);
ncvAssertReturn(numRects != 0, NCV_SUCCESS);
ncvAssertReturn(numRects <= dstWidth * dstHeight, NCV_DIMENSIONS_INVALID);
for (Ncv32u i=0; i<numRects; i++)
{
NcvRect32u rect = h_rects[i];
if (rect.x < dstWidth)
{
for (Ncv32u each=rect.y; each<rect.y+rect.height && each<dstHeight; each++)
{
h_dst[each*dstStride+rect.x] = color;
}
}
if (rect.x+rect.width-1 < dstWidth)
{
for (Ncv32u each=rect.y; each<rect.y+rect.height && each<dstHeight; each++)
{
h_dst[each*dstStride+rect.x+rect.width-1] = color;
}
}
if (rect.y < dstHeight)
{
for (Ncv32u j=rect.x; j<rect.x+rect.width && j<dstWidth; j++)
{
h_dst[rect.y*dstStride+j] = color;
}
}
if (rect.y + rect.height - 1 < dstHeight)
{
for (Ncv32u j=rect.x; j<rect.x+rect.width && j<dstWidth; j++)
{
h_dst[(rect.y+rect.height-1)*dstStride+j] = color;
}
}
}
return NCV_SUCCESS;
}
NCVStatus ncvDrawRects_8u_host(Ncv8u *h_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *h_rects,
Ncv32u numRects,
Ncv8u color)
{
return drawRectsWrapperHost(h_dst, dstStride, dstWidth, dstHeight, h_rects, numRects, color);
}
NCVStatus ncvDrawRects_32u_host(Ncv32u *h_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *h_rects,
Ncv32u numRects,
Ncv32u color)
{
return drawRectsWrapperHost(h_dst, dstStride, dstWidth, dstHeight, h_rects, numRects, color);
}
const Ncv32u NUMTHREADS_DRAWRECTS = 32;
const Ncv32u NUMTHREADS_DRAWRECTS_LOG2 = 5;
template <class T>
__global__ void drawRects(T *d_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *d_rects,
Ncv32u numRects,
T color)
{
Ncv32u blockId = blockIdx.y * 65535 + blockIdx.x;
if (blockId > numRects * 4)
{
return;
}
NcvRect32u curRect = d_rects[blockId >> 2];
NcvBool bVertical = blockId & 0x1;
NcvBool bTopLeft = blockId & 0x2;
Ncv32u pt0x, pt0y;
if (bVertical)
{
Ncv32u numChunks = (curRect.height + NUMTHREADS_DRAWRECTS - 1) >> NUMTHREADS_DRAWRECTS_LOG2;
pt0x = bTopLeft ? curRect.x : curRect.x + curRect.width - 1;
pt0y = curRect.y;
if (pt0x < dstWidth)
{
for (Ncv32u chunkId = 0; chunkId < numChunks; chunkId++)
{
Ncv32u ptY = pt0y + chunkId * NUMTHREADS_DRAWRECTS + threadIdx.x;
if (ptY < pt0y + curRect.height && ptY < dstHeight)
{
d_dst[ptY * dstStride + pt0x] = color;
}
}
}
}
else
{
Ncv32u numChunks = (curRect.width + NUMTHREADS_DRAWRECTS - 1) >> NUMTHREADS_DRAWRECTS_LOG2;
pt0x = curRect.x;
pt0y = bTopLeft ? curRect.y : curRect.y + curRect.height - 1;
if (pt0y < dstHeight)
{
for (Ncv32u chunkId = 0; chunkId < numChunks; chunkId++)
{
Ncv32u ptX = pt0x + chunkId * NUMTHREADS_DRAWRECTS + threadIdx.x;
if (ptX < pt0x + curRect.width && ptX < dstWidth)
{
d_dst[pt0y * dstStride + ptX] = color;
}
}
}
}
}
template <class T>
static NCVStatus drawRectsWrapperDevice(T *d_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *d_rects,
Ncv32u numRects,
T color,
cudaStream_t cuStream)
{
(void)cuStream;
ncvAssertReturn(d_dst != NULL && d_rects != NULL, NCV_NULL_PTR);
ncvAssertReturn(dstWidth > 0 && dstHeight > 0, NCV_DIMENSIONS_INVALID);
ncvAssertReturn(dstStride >= dstWidth, NCV_INVALID_STEP);
ncvAssertReturn(numRects <= dstWidth * dstHeight, NCV_DIMENSIONS_INVALID);
if (numRects == 0)
{
return NCV_SUCCESS;
}
dim3 grid(numRects * 4);
dim3 block(NUMTHREADS_DRAWRECTS);
if (grid.x > 65535)
{
grid.y = (grid.x + 65534) / 65535;
grid.x = 65535;
}
drawRects<T><<<grid, block>>>(d_dst, dstStride, dstWidth, dstHeight, d_rects, numRects, color);
ncvAssertCUDALastErrorReturn(NCV_CUDA_ERROR);
return NCV_SUCCESS;
}
NCVStatus ncvDrawRects_8u_device(Ncv8u *d_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *d_rects,
Ncv32u numRects,
Ncv8u color,
cudaStream_t cuStream)
{
return drawRectsWrapperDevice(d_dst, dstStride, dstWidth, dstHeight, d_rects, numRects, color, cuStream);
}
NCVStatus ncvDrawRects_32u_device(Ncv32u *d_dst,
Ncv32u dstStride,
Ncv32u dstWidth,
Ncv32u dstHeight,
NcvRect32u *d_rects,
Ncv32u numRects,
Ncv32u color,
cudaStream_t cuStream)
{
return drawRectsWrapperDevice(d_dst, dstStride, dstWidth, dstHeight, d_rects, numRects, color, cuStream);
}
#endif /* CUDA_DISABLER */