/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // 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. // 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*/ #if !defined CUDA_DISABLER #include "opencv2/core/cuda/common.hpp" #include "opencv2/core/cuda/vec_traits.hpp" #include "opencv2/core/cuda/vec_math.hpp" #include "opencv2/core/cuda/saturate_cast.hpp" #include "opencv2/core/cuda/border_interpolate.hpp" namespace cv { namespace cuda { namespace device { namespace imgproc { texture<uchar4, 2> tex_meanshift; __device__ short2 do_mean_shift(int x0, int y0, unsigned char* out, size_t out_step, int cols, int rows, int sp, int sr, int maxIter, float eps) { int isr2 = sr*sr; uchar4 c = tex2D(tex_meanshift, x0, y0 ); // iterate meanshift procedure for( int iter = 0; iter < maxIter; iter++ ) { int count = 0; int s0 = 0, s1 = 0, s2 = 0, sx = 0, sy = 0; float icount; //mean shift: process pixels in window (p-sigmaSp)x(p+sigmaSp) int minx = x0-sp; int miny = y0-sp; int maxx = x0+sp; int maxy = y0+sp; for( int y = miny; y <= maxy; y++) { int rowCount = 0; for( int x = minx; x <= maxx; x++ ) { uchar4 t = tex2D( tex_meanshift, x, y ); int norm2 = (t.x - c.x) * (t.x - c.x) + (t.y - c.y) * (t.y - c.y) + (t.z - c.z) * (t.z - c.z); if( norm2 <= isr2 ) { s0 += t.x; s1 += t.y; s2 += t.z; sx += x; rowCount++; } } count += rowCount; sy += y*rowCount; } if( count == 0 ) break; icount = 1.f/count; int x1 = __float2int_rz(sx*icount); int y1 = __float2int_rz(sy*icount); s0 = __float2int_rz(s0*icount); s1 = __float2int_rz(s1*icount); s2 = __float2int_rz(s2*icount); int norm2 = (s0 - c.x) * (s0 - c.x) + (s1 - c.y) * (s1 - c.y) + (s2 - c.z) * (s2 - c.z); bool stopFlag = (x0 == x1 && y0 == y1) || (::abs(x1-x0) + ::abs(y1-y0) + norm2 <= eps); x0 = x1; y0 = y1; c.x = s0; c.y = s1; c.z = s2; if( stopFlag ) break; } int base = (blockIdx.y * blockDim.y + threadIdx.y) * out_step + (blockIdx.x * blockDim.x + threadIdx.x) * 4 * sizeof(uchar); *(uchar4*)(out + base) = c; return make_short2((short)x0, (short)y0); } __global__ void meanshift_kernel(unsigned char* out, size_t out_step, int cols, int rows, int sp, int sr, int maxIter, float eps ) { int x0 = blockIdx.x * blockDim.x + threadIdx.x; int y0 = blockIdx.y * blockDim.y + threadIdx.y; if( x0 < cols && y0 < rows ) do_mean_shift(x0, y0, out, out_step, cols, rows, sp, sr, maxIter, eps); } void meanShiftFiltering_gpu(const PtrStepSzb& src, PtrStepSzb dst, int sp, int sr, int maxIter, float eps, cudaStream_t stream) { dim3 grid(1, 1, 1); dim3 threads(32, 8, 1); grid.x = divUp(src.cols, threads.x); grid.y = divUp(src.rows, threads.y); cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar4>(); cudaSafeCall( cudaBindTexture2D( 0, tex_meanshift, src.data, desc, src.cols, src.rows, src.step ) ); meanshift_kernel<<< grid, threads, 0, stream >>>( dst.data, dst.step, dst.cols, dst.rows, sp, sr, maxIter, eps ); cudaSafeCall( cudaGetLastError() ); if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } __global__ void meanshiftproc_kernel(unsigned char* outr, size_t outrstep, unsigned char* outsp, size_t outspstep, int cols, int rows, int sp, int sr, int maxIter, float eps) { int x0 = blockIdx.x * blockDim.x + threadIdx.x; int y0 = blockIdx.y * blockDim.y + threadIdx.y; if( x0 < cols && y0 < rows ) { int basesp = (blockIdx.y * blockDim.y + threadIdx.y) * outspstep + (blockIdx.x * blockDim.x + threadIdx.x) * 2 * sizeof(short); *(short2*)(outsp + basesp) = do_mean_shift(x0, y0, outr, outrstep, cols, rows, sp, sr, maxIter, eps); } } void meanShiftProc_gpu(const PtrStepSzb& src, PtrStepSzb dstr, PtrStepSzb dstsp, int sp, int sr, int maxIter, float eps, cudaStream_t stream) { dim3 grid(1, 1, 1); dim3 threads(32, 8, 1); grid.x = divUp(src.cols, threads.x); grid.y = divUp(src.rows, threads.y); cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar4>(); cudaSafeCall( cudaBindTexture2D( 0, tex_meanshift, src.data, desc, src.cols, src.rows, src.step ) ); meanshiftproc_kernel<<< grid, threads, 0, stream >>>( dstr.data, dstr.step, dstsp.data, dstsp.step, dstr.cols, dstr.rows, sp, sr, maxIter, eps ); cudaSafeCall( cudaGetLastError() ); if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } } }}} #endif