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Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/modules/calib3d/src/opencl/stereobm.cl
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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//////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////// stereoBM //////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////////////////////////
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#define MAX_VAL 32767
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#ifndef WSZ
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#define WSZ 2
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#endif
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#define WSZ2 (WSZ / 2)
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#ifdef DEFINE_KERNEL_STEREOBM
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#define DISPARITY_SHIFT 4
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#define FILTERED ((MIN_DISP - 1) << DISPARITY_SHIFT)
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void calcDisp(__local short * cost, __global short * disp, int uniquenessRatio,
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__local int * bestDisp, __local int * bestCost, int d, int x, int y, int cols, int rows)
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{
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int best_disp = *bestDisp, best_cost = *bestCost;
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barrier(CLK_LOCAL_MEM_FENCE);
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short c = cost[0];
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int thresh = best_cost + (best_cost * uniquenessRatio / 100);
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bool notUniq = ( (c <= thresh) && (d < (best_disp - 1) || d > (best_disp + 1) ) );
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if (notUniq)
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*bestCost = FILTERED;
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barrier(CLK_LOCAL_MEM_FENCE);
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if( *bestCost != FILTERED && x < cols - WSZ2 - MIN_DISP && y < rows - WSZ2 && d == best_disp)
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{
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int d_aprox = 0;
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int yp =0, yn = 0;
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if ((0 < best_disp) && (best_disp < NUM_DISP - 1))
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{
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yp = cost[-2 * BLOCK_SIZE_Y];
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yn = cost[2 * BLOCK_SIZE_Y];
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d_aprox = yp + yn - 2 * c + abs(yp - yn);
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}
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disp[0] = (short)(((best_disp + MIN_DISP)*256 + (d_aprox != 0 ? (yp - yn) * 256 / d_aprox : 0) + 15) >> 4);
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}
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}
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short calcCostBorder(__global const uchar * leftptr, __global const uchar * rightptr, int x, int y, int nthread,
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short * costbuf, int *h, int cols, int d, short cost)
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{
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int head = (*h) % WSZ;
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__global const uchar * left, * right;
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int idx = mad24(y + WSZ2 * (2 * nthread - 1), cols, x + WSZ2 * (1 - 2 * nthread));
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left = leftptr + idx;
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right = rightptr + (idx - d);
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short costdiff = 0;
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if (0 == nthread)
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{
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#pragma unroll
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for (int i = 0; i < WSZ; i++)
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{
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costdiff += abs( left[0] - right[0] );
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left += cols;
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right += cols;
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}
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}
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else // (1 == nthread)
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{
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#pragma unroll
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for (int i = 0; i < WSZ; i++)
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{
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costdiff += abs(left[i] - right[i]);
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}
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}
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cost += costdiff - costbuf[head];
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costbuf[head] = costdiff;
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*h = head + 1;
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return cost;
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}
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short calcCostInside(__global const uchar * leftptr, __global const uchar * rightptr, int x, int y,
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int cols, int d, short cost_up_left, short cost_up, short cost_left)
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{
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__global const uchar * left, * right;
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int idx = mad24(y - WSZ2 - 1, cols, x - WSZ2 - 1);
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left = leftptr + idx;
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right = rightptr + (idx - d);
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int idx2 = WSZ*cols;
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uchar corrner1 = abs(left[0] - right[0]),
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corrner2 = abs(left[WSZ] - right[WSZ]),
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corrner3 = abs(left[idx2] - right[idx2]),
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corrner4 = abs(left[idx2 + WSZ] - right[idx2 + WSZ]);
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return cost_up + cost_left - cost_up_left + corrner1 -
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corrner2 - corrner3 + corrner4;
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}
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__kernel void stereoBM(__global const uchar * leftptr,
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__global const uchar * rightptr,
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__global uchar * dispptr, int disp_step, int disp_offset,
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int rows, int cols, // rows, cols of left and right images, not disp
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int textureThreshold, int uniquenessRatio)
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{
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int lz = get_local_id(0);
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int gx = get_global_id(1) * BLOCK_SIZE_X;
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int gy = get_global_id(2) * BLOCK_SIZE_Y;
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int nthread = lz / NUM_DISP;
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int disp_idx = lz % NUM_DISP;
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__global short * disp;
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__global const uchar * left, * right;
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__local short costFunc[2 * BLOCK_SIZE_Y * NUM_DISP];
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__local short * cost;
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__local int best_disp[2];
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__local int best_cost[2];
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best_cost[nthread] = MAX_VAL;
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best_disp[nthread] = -1;
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barrier(CLK_LOCAL_MEM_FENCE);
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short costbuf[WSZ];
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int head = 0;
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int shiftX = WSZ2 + NUM_DISP + MIN_DISP - 1;
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int shiftY = WSZ2;
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int x = gx + shiftX, y = gy + shiftY, lx = 0, ly = 0;
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int costIdx = disp_idx * 2 * BLOCK_SIZE_Y + (BLOCK_SIZE_Y - 1);
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cost = costFunc + costIdx;
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int tempcost = 0;
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if (x < cols - WSZ2 - MIN_DISP && y < rows - WSZ2)
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{
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if (0 == nthread)
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{
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#pragma unroll
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for (int i = 0; i < WSZ; i++)
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{
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int idx = mad24(y - WSZ2, cols, x - WSZ2 + i);
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left = leftptr + idx;
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right = rightptr + (idx - disp_idx);
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short costdiff = 0;
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for(int j = 0; j < WSZ; j++)
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{
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costdiff += abs( left[0] - right[0] );
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left += cols;
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right += cols;
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}
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costbuf[i] = costdiff;
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}
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}
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else // (1 == nthread)
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{
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#pragma unroll
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for (int i = 0; i < WSZ; i++)
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{
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int idx = mad24(y - WSZ2 + i, cols, x - WSZ2);
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left = leftptr + idx;
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right = rightptr + (idx - disp_idx);
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short costdiff = 0;
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for (int j = 0; j < WSZ; j++)
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{
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costdiff += abs( left[j] - right[j]);
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}
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tempcost += costdiff;
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costbuf[i] = costdiff;
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}
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}
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}
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if (nthread == 1)
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{
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cost[0] = tempcost;
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atomic_min(best_cost + 1, tempcost);
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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if (best_cost[1] == tempcost)
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atomic_max(best_disp + 1, disp_idx);
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barrier(CLK_LOCAL_MEM_FENCE);
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int dispIdx = mad24(gy, disp_step, mad24((int)sizeof(short), gx, disp_offset));
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disp = (__global short *)(dispptr + dispIdx);
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calcDisp(cost, disp, uniquenessRatio, best_disp + 1, best_cost + 1, disp_idx, x, y, cols, rows);
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barrier(CLK_LOCAL_MEM_FENCE);
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lx = 1 - nthread;
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ly = nthread;
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for (int i = 0; i < BLOCK_SIZE_Y * BLOCK_SIZE_X / 2; i++)
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{
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x = (lx < BLOCK_SIZE_X) ? gx + shiftX + lx : cols;
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y = (ly < BLOCK_SIZE_Y) ? gy + shiftY + ly : rows;
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best_cost[nthread] = MAX_VAL;
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best_disp[nthread] = -1;
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barrier(CLK_LOCAL_MEM_FENCE);
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costIdx = mad24(2 * BLOCK_SIZE_Y, disp_idx, (BLOCK_SIZE_Y - 1 - ly + lx));
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if (0 > costIdx)
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costIdx = BLOCK_SIZE_Y - 1;
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cost = costFunc + costIdx;
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if (x < cols - WSZ2 - MIN_DISP && y < rows - WSZ2)
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{
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tempcost = (ly * (1 - nthread) + lx * nthread == 0) ?
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calcCostBorder(leftptr, rightptr, x, y, nthread, costbuf, &head, cols, disp_idx, cost[2*nthread-1]) :
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calcCostInside(leftptr, rightptr, x, y, cols, disp_idx, cost[0], cost[1], cost[-1]);
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}
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cost[0] = tempcost;
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atomic_min(best_cost + nthread, tempcost);
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barrier(CLK_LOCAL_MEM_FENCE);
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if (best_cost[nthread] == tempcost)
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atomic_max(best_disp + nthread, disp_idx);
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barrier(CLK_LOCAL_MEM_FENCE);
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dispIdx = mad24(gy + ly, disp_step, mad24((int)sizeof(short), (gx + lx), disp_offset));
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disp = (__global short *)(dispptr + dispIdx);
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calcDisp(cost, disp, uniquenessRatio, best_disp + nthread, best_cost + nthread, disp_idx, x, y, cols, rows);
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barrier(CLK_LOCAL_MEM_FENCE);
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if (lx + nthread - 1 == ly)
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{
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lx = (lx + nthread + 1) * (1 - nthread);
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ly = (ly + 1) * nthread;
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}
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else
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{
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lx += nthread;
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ly = ly - nthread + 1;
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}
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}
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}
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#endif //DEFINE_KERNEL_STEREOBM
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//////////////////////////////////////////////////////////////////////////////////////////////////
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/////////////////////////////////////// Norm Prefiler ////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////////////////////////
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__kernel void prefilter_norm(__global unsigned char *input, __global unsigned char *output,
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int rows, int cols, int prefilterCap, int scale_g, int scale_s)
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{
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// prefilterCap in range 1..63, checked in StereoBMImpl::compute
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int x = get_global_id(0);
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int y = get_global_id(1);
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if(x < cols && y < rows)
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{
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int cov1 = input[ max(y-1, 0) * cols + x] * 1 +
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input[y * cols + max(x-1,0)] * 1 + input[ y * cols + x] * 4 + input[y * cols + min(x+1, cols-1)] * 1 +
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input[min(y+1, rows-1) * cols + x] * 1;
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int cov2 = 0;
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for(int i = -WSZ2; i < WSZ2+1; i++)
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for(int j = -WSZ2; j < WSZ2+1; j++)
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cov2 += input[clamp(y+i, 0, rows-1) * cols + clamp(x+j, 0, cols-1)];
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int res = (cov1*scale_g - cov2*scale_s)>>10;
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res = clamp(res, -prefilterCap, prefilterCap) + prefilterCap;
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output[y * cols + x] = res;
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}
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}
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//////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////// Sobel Prefiler ////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////////////////////////
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__kernel void prefilter_xsobel(__global unsigned char *input, __global unsigned char *output,
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int rows, int cols, int prefilterCap)
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{
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// prefilterCap in range 1..63, checked in StereoBMImpl::compute
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int x = get_global_id(0);
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int y = get_global_id(1);
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if(x < cols && y < rows)
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{
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if (0 < x && !((y == rows-1) & (rows%2==1) ) )
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{
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int cov = input[ ((y > 0) ? y-1 : y+1) * cols + (x-1)] * (-1) + input[ ((y > 0) ? y-1 : y+1) * cols + ((x<cols-1) ? x+1 : x-1)] * (1) +
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input[ (y) * cols + (x-1)] * (-2) + input[ (y) * cols + ((x<cols-1) ? x+1 : x-1)] * (2) +
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input[((y<rows-1)?(y+1):(y-1))* cols + (x-1)] * (-1) + input[((y<rows-1)?(y+1):(y-1))* cols + ((x<cols-1) ? x+1 : x-1)] * (1);
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cov = clamp(cov, -prefilterCap, prefilterCap) + prefilterCap;
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output[y * cols + x] = cov;
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}
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else
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output[y * cols + x] = prefilterCap;
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}
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}
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