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reintegrate warp shuffle based integral
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@ -361,14 +361,8 @@ namespace cv { namespace gpu { namespace device
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{
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{
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// each thread handles 16 values, use 1 block/row
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int block = img.cols / 16;
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// save, becouse step is actually can't be less 512 bytes
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int align = img.cols % 4;
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if ( align != 0)
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{
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block += (4 - align);
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}
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int block = integral.cols / 16;
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// launch 1 block / row
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const int grid = img.rows;
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@ -553,44 +553,25 @@ void cv::gpu::integralBuffered(const GpuMat& src, GpuMat& sum, GpuMat& buffer, S
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src.locateROI(whole, offset);
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if (info.supports(WARP_SHUFFLE_FUNCTIONS) && src.cols <= 2048)
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if (info.supports(WARP_SHUFFLE_FUNCTIONS) && src.cols <= 2048 && offset.x % 16 == 0 && (src.cols + 63) / 64 <= (src.step - offset.x))
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{
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GpuMat srcAlligned;
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ensureSizeIsEnough(((src.rows + 7) / 8) * 8, ((src.cols + 63) / 64) * 64, CV_32SC1, buffer);
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if (src.cols % 16 == 0 && src.rows % 8 == 0 && offset.x % 16 == 0 && offset.y % 8 == 0)
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srcAlligned = src;
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else
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{
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ensureSizeIsEnough(((src.rows + 7) / 8) * 8, ((src.cols + 15) / 16) * 16, src.type(), buffer);
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GpuMat inner = buffer(Rect(0, 0, src.cols, src.rows));
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if (s)
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{
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s.enqueueMemSet(buffer, Scalar::all(0));
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s.enqueueCopy(src, inner);
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}
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else
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{
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buffer.setTo(Scalar::all(0));
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src.copyTo(inner);
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}
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srcAlligned = buffer;
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}
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sum.create(srcAlligned.rows + 1, srcAlligned.cols + 4, CV_32SC1);
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cv::gpu::device::imgproc::shfl_integral_gpu(src, buffer, stream);
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sum.create(src.rows + 1, src.cols + 1, CV_32SC1);
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if (s)
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s.enqueueMemSet(sum, Scalar::all(0));
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else
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sum.setTo(Scalar::all(0));
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GpuMat inner = sum(Rect(4, 1, srcAlligned.cols, srcAlligned.rows));
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GpuMat inner = sum(Rect(1, 1, src.cols, src.rows));
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GpuMat res = buffer(Rect(0, 0, src.cols, src.rows));
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cv::gpu::device::imgproc::shfl_integral_gpu(srcAlligned, inner, stream);
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sum = sum(Rect(3, 0, src.cols + 1, src.rows + 1));
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if (s)
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s.enqueueCopy(res, inner);
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else
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res.copyTo(inner);
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}
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else
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{
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