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One more fix for Kepler-specific gpu::integral usage

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This commit is contained in:
marina.kolpakova 2012-10-12 13:02:35 +04:00
parent 1d3ec99102
commit 296aa7c4fb
4 changed files with 46 additions and 31 deletions
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2
modules/gpu/include/opencv2/gpu/device/utility.hpp
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@ -150,7 +150,7 @@ namespace cv { namespace gpu { namespace device
return true;
}
static __device__ __forceinline__ bool check(int, int, int)
static __device__ __forceinline__ bool check(int, int, int, uint offset = 0)
{
return true;
}

49
modules/gpu/src/cuda/surf.cu
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@ -108,13 +108,20 @@ namespace cv { namespace gpu { namespace device
{
bindTexture(&imgTex, img);
}
void bindSumTex(PtrStepSz<uint> sum)
size_t bindSumTex(PtrStepSz<uint> sum)
{
bindTexture(&sumTex, sum);
size_t offset;
cudaChannelFormatDesc desc_sum = cudaCreateChannelDesc<uint>();
cudaSafeCall( cudaBindTexture2D(&offset, sumTex, sum.data, desc_sum, sum.cols, sum.rows, sum.step));
return offset / sizeof(uint);
}
void bindMaskSumTex(PtrStepSz<uint> maskSum)
size_t bindMaskSumTex(PtrStepSz<uint> maskSum)
{
bindTexture(&maskSumTex, maskSum);
size_t offset;
cudaChannelFormatDesc desc_sum = cudaCreateChannelDesc<uint>();
cudaSafeCall( cudaBindTexture2D(&offset, maskSumTex, maskSum.data, desc_sum, maskSum.cols, maskSum.rows, maskSum.step));
return offset / sizeof(uint);
}
template <int N> __device__ float icvCalcHaarPatternSum(const float src[][5], int oldSize, int newSize, int y, int x)
@ -170,7 +177,7 @@ namespace cv { namespace gpu { namespace device
return (HAAR_SIZE0 + HAAR_SIZE_INC * layer) << octave;
}
__global__ void icvCalcLayerDetAndTrace(PtrStepf det, PtrStepf trace)
__global__ void icvCalcLayerDetAndTrace(PtrStepf det, PtrStepf trace, uint sumOffset)
{
// Determine the indices
const int gridDim_y = gridDim.y / (c_nOctaveLayers + 2);
@ -191,16 +198,17 @@ namespace cv { namespace gpu { namespace device
if (size <= c_img_rows && size <= c_img_cols && i < samples_i && j < samples_j)
{
const float dx = icvCalcHaarPatternSum<3>(c_DX , 9, size, i << c_octave, j << c_octave);
const float dy = icvCalcHaarPatternSum<3>(c_DY , 9, size, i << c_octave, j << c_octave);
const float dxy = icvCalcHaarPatternSum<4>(c_DXY, 9, size, i << c_octave, j << c_octave);
const float dx = icvCalcHaarPatternSum<3>(c_DX , 9, size, (i << c_octave), sumOffset + (j << c_octave));
const float dy = icvCalcHaarPatternSum<3>(c_DY , 9, size, (i << c_octave), sumOffset + (j << c_octave));
const float dxy = icvCalcHaarPatternSum<4>(c_DXY, 9, size, (i << c_octave), sumOffset + (j << c_octave));
det.ptr(layer * c_layer_rows + i + margin)[j + margin] = dx * dy - 0.81f * dxy * dxy;
trace.ptr(layer * c_layer_rows + i + margin)[j + margin] = dx + dy;
}
}
void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols, int octave, int nOctaveLayers)
void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols,
int octave, int nOctaveLayers, const size_t sumOffset)
{
const int min_size = calcSize(octave, 0);
const int max_samples_i = 1 + ((img_rows - min_size) >> octave);
@ -212,7 +220,7 @@ namespace cv { namespace gpu { namespace device
grid.x = divUp(max_samples_j, threads.x);
grid.y = divUp(max_samples_i, threads.y) * (nOctaveLayers + 2);
icvCalcLayerDetAndTrace<<<grid, threads>>>(det, trace);
icvCalcLayerDetAndTrace<<<grid, threads>>>(det, trace, (uint)sumOffset);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
@ -225,7 +233,7 @@ namespace cv { namespace gpu { namespace device
struct WithMask
{
static __device__ bool check(int sum_i, int sum_j, int size)
static __device__ bool check(int sum_i, int sum_j, int size, const uint offset)
{
float ratio = (float)size / 9.0f;
@ -237,10 +245,10 @@ namespace cv { namespace gpu { namespace device
int dy2 = __float2int_rn(ratio * c_DM[3]);
float t = 0;
t += tex2D(maskSumTex, sum_j + dx1, sum_i + dy1);
t -= tex2D(maskSumTex, sum_j + dx1, sum_i + dy2);
t -= tex2D(maskSumTex, sum_j + dx2, sum_i + dy1);
t += tex2D(maskSumTex, sum_j + dx2, sum_i + dy2);
t += tex2D(maskSumTex, offset + sum_j + dx1, sum_i + dy1);
t -= tex2D(maskSumTex, offset + sum_j + dx1, sum_i + dy2);
t -= tex2D(maskSumTex, offset + sum_j + dx2, sum_i + dy1);
t += tex2D(maskSumTex, offset + sum_j + dx2, sum_i + dy2);
d += t * c_DM[4] / ((dx2 - dx1) * (dy2 - dy1));
@ -249,7 +257,8 @@ namespace cv { namespace gpu { namespace device
};
template <typename Mask>
__global__ void icvFindMaximaInLayer(const PtrStepf det, const PtrStepf trace, int4* maxPosBuffer, unsigned int* maxCounter)
__global__ void icvFindMaximaInLayer(const PtrStepf det, const PtrStepf trace, int4* maxPosBuffer,
unsigned int* maxCounter, const uint maskOffset)
{
#if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
@ -290,7 +299,7 @@ namespace cv { namespace gpu { namespace device
const int sum_i = (i - ((size >> 1) >> c_octave)) << c_octave;
const int sum_j = (j - ((size >> 1) >> c_octave)) << c_octave;
if (Mask::check(sum_i, sum_j, size))
if (Mask::check(sum_i, sum_j, size, maskOffset))
{
// Check to see if we have a max (in its 26 neighbours)
const bool condmax = val0 > N9[localLin - 1 - blockDim.x - zoff]
@ -342,7 +351,7 @@ namespace cv { namespace gpu { namespace device
}
void icvFindMaximaInLayer_gpu(const PtrStepf& det, const PtrStepf& trace, int4* maxPosBuffer, unsigned int* maxCounter,
int img_rows, int img_cols, int octave, bool use_mask, int nOctaveLayers)
int img_rows, int img_cols, int octave, bool use_mask, int nOctaveLayers, const size_t maskOffset)
{
const int layer_rows = img_rows >> octave;
const int layer_cols = img_cols >> octave;
@ -358,9 +367,9 @@ namespace cv { namespace gpu { namespace device
const size_t smem_size = threads.x * threads.y * 3 * sizeof(float);
if (use_mask)
icvFindMaximaInLayer<WithMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter);
icvFindMaximaInLayer<WithMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter, (uint)maskOffset);
else
icvFindMaximaInLayer<WithOutMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter);
icvFindMaximaInLayer<WithOutMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter, 0);
cudaSafeCall( cudaGetLastError() );

2
modules/gpu/src/imgproc.cpp
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@ -553,7 +553,7 @@ void cv::gpu::integralBuffered(const GpuMat& src, GpuMat& sum, GpuMat& buffer, S
src.locateROI(whole, offset);
if (info.supports(WARP_SHUFFLE_FUNCTIONS) )
if (info.supports(WARP_SHUFFLE_FUNCTIONS) && src.cols <= 2048)
{
GpuMat srcAlligned;

24
modules/gpu/src/surf.cpp
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@ -71,13 +71,14 @@ namespace cv { namespace gpu { namespace device
void loadOctaveConstants(int octave, int layer_rows, int layer_cols);
void bindImgTex(PtrStepSzb img);
void bindSumTex(PtrStepSz<unsigned int> sum);
void bindMaskSumTex(PtrStepSz<unsigned int> maskSum);
size_t bindSumTex(PtrStepSz<unsigned int> sum);
size_t bindMaskSumTex(PtrStepSz<unsigned int> maskSum);
void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols, int octave, int nOctaveLayers);
void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols,
int octave, int nOctaveLayers, const size_t sumOffset);
void icvFindMaximaInLayer_gpu(const PtrStepf& det, const PtrStepf& trace, int4* maxPosBuffer, unsigned int* maxCounter,
int img_rows, int img_cols, int octave, bool use_mask, int nLayers);
int img_rows, int img_cols, int octave, bool use_mask, int nLayers, const size_t maskOffset);
void icvInterpolateKeypoint_gpu(const PtrStepf& det, const int4* maxPosBuffer, unsigned int maxCounter,
float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
@ -145,15 +146,17 @@ namespace
loadGlobalConstants(maxCandidates, maxFeatures, img_rows, img_cols, surf_.nOctaveLayers, static_cast<float>(surf_.hessianThreshold));
bindImgTex(img);
integralBuffered(img, surf_.sum, surf_.intBuffer);
bindSumTex(surf_.sum);
sumOffset = bindSumTex(surf_.sum);
return;
if (use_mask)
{
min(mask, 1.0, surf_.mask1);
integralBuffered(surf_.mask1, surf_.maskSum, surf_.intBuffer);
bindMaskSumTex(surf_.maskSum);
maskOffset = bindMaskSumTex(surf_.maskSum);
}
}
@ -173,10 +176,10 @@ namespace
loadOctaveConstants(octave, layer_rows, layer_cols);
icvCalcLayerDetAndTrace_gpu(surf_.det, surf_.trace, img_rows, img_cols, octave, surf_.nOctaveLayers);
icvCalcLayerDetAndTrace_gpu(surf_.det, surf_.trace, img_rows, img_cols, octave, surf_.nOctaveLayers, sumOffset);
icvFindMaximaInLayer_gpu(surf_.det, surf_.trace, surf_.maxPosBuffer.ptr<int4>(), counters.ptr<unsigned int>() + 1 + octave,
img_rows, img_cols, octave, use_mask, surf_.nOctaveLayers);
img_rows, img_cols, octave, use_mask, surf_.nOctaveLayers, maskOffset);
unsigned int maxCounter;
cudaSafeCall( cudaMemcpy(&maxCounter, counters.ptr<unsigned int>() + 1 + octave, sizeof(unsigned int), cudaMemcpyDeviceToHost) );
@ -234,6 +237,9 @@ namespace
int maxCandidates;
int maxFeatures;
size_t maskOffset;
size_t sumOffset;
GpuMat counters;
};
}