return (HAAR_SIZE0 + HAAR_SIZE_INC * layer) << octave;
}
- __global__ void icvCalcLayerDetAndTrace(PtrStepf det, PtrStepf trace, uint sumOffset)
+ __global__ void icvCalcLayerDetAndTrace(PtrStepf det, PtrStepf trace)
{
// Determine the indices
const int gridDim_y = gridDim.y / (c_nOctaveLayers + 2);
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), 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));
+ 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));
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, const size_t sumOffset)
+ int octave, int nOctaveLayers)
{
const int min_size = calcSize(octave, 0);
const int max_samples_i = 1 + ((img_rows - min_size) >> octave);
grid.x = divUp(max_samples_j, threads.x);
grid.y = divUp(max_samples_i, threads.y) * (nOctaveLayers + 2);
- icvCalcLayerDetAndTrace<<<grid, threads>>>(det, trace, (uint)sumOffset);
+ icvCalcLayerDetAndTrace<<<grid, threads>>>(det, trace);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
struct WithMask
{
- static __device__ bool check(int sum_i, int sum_j, int size, const uint offset)
+ static __device__ bool check(int sum_i, int sum_j, int size)
{
float ratio = (float)size / 9.0f;
int dy2 = __float2int_rn(ratio * c_DM[3]);
float t = 0;
- 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);
+ 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);
d += t * c_DM[4] / ((dx2 - dx1) * (dy2 - dy1));
template <typename Mask>
__global__ void icvFindMaximaInLayer(const PtrStepf det, const PtrStepf trace, int4* maxPosBuffer,
- unsigned int* maxCounter, const uint maskOffset)
+ unsigned int* maxCounter)
{
#if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
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, maskOffset))
+ if (Mask::check(sum_i, sum_j, size))
{
// Check to see if we have a max (in its 26 neighbours)
const bool condmax = val0 > N9[localLin - 1 - blockDim.x - zoff]
}
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, const size_t maskOffset)
+ int img_rows, int img_cols, int octave, bool use_mask, int nOctaveLayers)
{
const int layer_rows = img_rows >> octave;
const int layer_cols = img_cols >> octave;
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, (uint)maskOffset);
+ icvFindMaximaInLayer<WithMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter);
else
- icvFindMaximaInLayer<WithOutMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter, 0);
+ icvFindMaximaInLayer<WithOutMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter);
cudaSafeCall( cudaGetLastError() );
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, const size_t sumOffset);
+ int octave, int nOctaveLayer);
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, const size_t maskOffset);
+ int img_rows, int img_cols, int octave, bool use_mask, int nLayers);
void icvInterpolateKeypoint_gpu(const PtrStepf& det, const int4* maxPosBuffer, unsigned int maxCounter,
float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
loadGlobalConstants(maxCandidates, maxFeatures, img_rows, img_cols, surf_.nOctaveLayers, static_cast<float>(surf_.hessianThreshold));
bindImgTex(img);
- integralBuffered(img, surf_.sum, surf_.intBuffer);
+
+ integralBuffered(img, tmpSum, surf_.intBuffer);
+ tmpSum.copyTo(surf_.sum);
sumOffset = bindSumTex(surf_.sum);
if (use_mask)
{
min(mask, 1.0, surf_.mask1);
- integralBuffered(surf_.mask1, surf_.maskSum, surf_.intBuffer);
+ integralBuffered(surf_.mask1, tmpMaskSum, surf_.intBuffer);
+ tmpMaskSum.copyTo(surf_.maskSum);
maskOffset = bindMaskSumTex(surf_.maskSum);
}
}
loadOctaveConstants(octave, layer_rows, layer_cols);
- icvCalcLayerDetAndTrace_gpu(surf_.det, surf_.trace, img_rows, img_cols, octave, surf_.nOctaveLayers, sumOffset);
+ icvCalcLayerDetAndTrace_gpu(surf_.det, surf_.trace, img_rows, img_cols, octave, surf_.nOctaveLayers);
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, maskOffset);
+ img_rows, img_cols, octave, use_mask, surf_.nOctaveLayers);
unsigned int maxCounter;
cudaSafeCall( cudaMemcpy(&maxCounter, counters.ptr<unsigned int>() + 1 + octave, sizeof(unsigned int), cudaMemcpyDeviceToHost) );
private:
SURF_GPU& surf_;
+ cv::gpu::GpuMat tmpSum;
+ cv::gpu::GpuMat tmpMaskSum;
+
int img_cols, img_rows;
bool use_mask;