opencv/modules/ocl/src/opencl/stereobp.cl
peng xiao ecea583afd Add ocl::stereobp function.
OpenCL StereoBeliefPropagation, ported from GPU implementation.
2013-04-03 15:57:26 +08:00

381 lines
12 KiB
Common Lisp

/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jia Haipeng, jiahaipeng95@gmail.com
// Peng Xiao, pengxiao@outlook.com
//
// 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 GpuMaterials provided with the distribution.
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// * 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
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// 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
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//
//M*/
#if defined (DOUBLE_SUPPORT)
#ifdef cl_khr_fp64
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#elif defined (cl_amd_fp64)
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#endif
#endif
#ifdef T_FLOAT
#define T float
#else
#define T short
#endif
///////////////////////////////////////////////////////////////
/////////////////common///////////////////////////////////////
/////////////////////////////////////////////////////////////
T saturate_cast(float v){
#ifdef T_SHORT
return convert_short_sat_rte(v);
#else
return v;
#endif
}
#define FLOAT_MAX 3.402823466e+38f
typedef struct
{
int cndisp;
float cmax_data_term;
float cdata_weight;
float cmax_disc_term;
float cdisc_single_jump;
}con_srtuct_t;
///////////////////////////////////////////////////////////////
////////////////////////// comp data //////////////////////////
///////////////////////////////////////////////////////////////
float pix_diff_1(__global const uchar *ls, __global const uchar *rs)
{
return abs((int)(*ls) - *rs);
}
float pix_diff_3(__global const uchar *ls, __global const uchar *rs)
{
const float tr = 0.299f;
const float tg = 0.587f;
const float tb = 0.114f;
float val;
val = tb * abs((int)ls[0] - rs[0]);
val += tg * abs((int)ls[1] - rs[1]);
val += tr * abs((int)ls[2] - rs[2]);
return val;
}
float pix_diff_4(__global const uchar *ls, __global const uchar *rs)
{
uchar4 l, r;
l = *((__global uchar4 *)ls);
r = *((__global uchar4 *)rs);
const float tr = 0.299f;
const float tg = 0.587f;
const float tb = 0.114f;
float val;
val = tb * abs((int)l.x - r.x);
val += tg * abs((int)l.y - r.y);
val += tr * abs((int)l.z - r.z);
return val;
}
#ifndef CN
#define CN 4
#endif
#define CAT(X,Y) X##Y
#define CAT2(X,Y) CAT(X,Y)
#define PIX_DIFF CAT2(pix_diff_, CN)
__kernel void comp_data(__global uchar *left, int left_rows, int left_cols, int left_step,
__global uchar *right, int right_step,
__global T *data, int data_step,
__constant con_srtuct_t *con_st)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (y > 0 && y < (left_rows - 1) && x > 0 && x < (left_cols - 1))
{
data_step /= sizeof(T);
const __global uchar* ls = left + y * left_step + x * CN;
const __global uchar* rs = right + y * right_step + x * CN;
__global T *ds = data + y * data_step + x;
const unsigned int disp_step = data_step * left_rows;
for (int disp = 0; disp < con_st -> cndisp; disp++)
{
if (x - disp >= 1)
{
float val = 0;
val = PIX_DIFF(ls, rs - disp * CN);
ds[disp * disp_step] = saturate_cast(fmin(con_st -> cdata_weight * val,
con_st -> cdata_weight * con_st -> cmax_data_term));
}
else
{
ds[disp * disp_step] = saturate_cast(con_st -> cdata_weight * con_st -> cmax_data_term);
}
}
}
}
///////////////////////////////////////////////////////////////
//////////////////////// data step down ///////////////////////
///////////////////////////////////////////////////////////////
__kernel void data_step_down(__global T *src, int src_rows,
__global T *dst, int dst_rows, int dst_cols,
int src_step, int dst_step,
int cndisp)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
src_step /= sizeof(T);
dst_step /= sizeof(T);
for (int d = 0; d < cndisp; ++d)
{
float dst_reg;
dst_reg = src[(d * src_rows + (2*y+0)) * src_step + 2*x+0];
dst_reg += src[(d * src_rows + (2*y+1)) * src_step + 2*x+0];
dst_reg += src[(d * src_rows + (2*y+0)) * src_step + 2*x+1];
dst_reg += src[(d * src_rows + (2*y+1)) * src_step + 2*x+1];
dst[(d * dst_rows + y) * dst_step + x] = saturate_cast(dst_reg);
}
}
}
///////////////////////////////////////////////////////////////
/////////////////// level up messages ////////////////////////
///////////////////////////////////////////////////////////////
__kernel void level_up_message(__global T *src, int src_rows, int src_step,
__global T *dst, int dst_rows, int dst_cols, int dst_step,
int cndisp)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
src_step /= sizeof(T);
dst_step /= sizeof(T);
const int dst_disp_step = dst_step * dst_rows;
const int src_disp_step = src_step * src_rows;
__global T *dstr = dst + y * dst_step + x;
__global const T *srcr = src + (y / 2 * src_step) + (x / 2);
for (int d = 0; d < cndisp; ++d)
dstr[d * dst_disp_step] = srcr[d * src_disp_step];
}
}
///////////////////////////////////////////////////////////////
//////////////////// calc all iterations /////////////////////
///////////////////////////////////////////////////////////////
void calc_min_linear_penalty(__global T * dst, int disp_step,
int cndisp, float cdisc_single_jump)
{
float prev = dst[0];
float cur;
for (int disp = 1; disp < cndisp; ++disp)
{
prev += cdisc_single_jump;
cur = dst[disp_step * disp];
if (prev < cur)
{
cur = prev;
dst[disp_step * disp] = saturate_cast(prev);
}
prev = cur;
}
prev = dst[(cndisp - 1) * disp_step];
for (int disp = cndisp - 2; disp >= 0; disp--)
{
prev += cdisc_single_jump;
cur = dst[disp_step * disp];
if (prev < cur)
{
cur = prev;
dst[disp_step * disp] = saturate_cast(prev);
}
prev = cur;
}
}
void message(const __global T *msg1, const __global T *msg2,
const __global T *msg3, const __global T *data, __global T *dst,
int msg_disp_step, int data_disp_step, int cndisp, float cmax_disc_term, float cdisc_single_jump)
{
float minimum = FLOAT_MAX;
for(int i = 0; i < cndisp; ++i)
{
float dst_reg;
dst_reg = msg1[msg_disp_step * i];
dst_reg += msg2[msg_disp_step * i];
dst_reg += msg3[msg_disp_step * i];
dst_reg += data[data_disp_step * i];
if (dst_reg < minimum)
minimum = dst_reg;
dst[msg_disp_step * i] = saturate_cast(dst_reg);
}
calc_min_linear_penalty(dst, msg_disp_step, cndisp, cdisc_single_jump);
minimum += cmax_disc_term;
float sum = 0;
for(int i = 0; i < cndisp; ++i)
{
float dst_reg = dst[msg_disp_step * i];
if (dst_reg > minimum)
{
dst_reg = minimum;
dst[msg_disp_step * i] = saturate_cast(minimum);
}
sum += dst_reg;
}
sum /= cndisp;
for(int i = 0; i < cndisp; ++i)
dst[msg_disp_step * i] -= sum;
}
__kernel void one_iteration(__global T *u, int u_step,
__global T *data, int data_step,
__global T *d, __global T *l, __global T *r,
int t, int cols, int rows,
int cndisp, float cmax_disc_term, float cdisc_single_jump)
{
const int y = get_global_id(1);
const int x = ((get_global_id(0)) << 1) + ((y + t) & 1);
if ((y > 0) && (y < rows - 1) && (x > 0) && (x < cols - 1))
{
u_step /= sizeof(T);
data_step /= sizeof(T);
__global T *us = u + y * u_step + x;
__global T *ds = d + y * u_step + x;
__global T *ls = l + y * u_step + x;
__global T *rs = r + y * u_step + x;
const __global T *dt = data + y * data_step + x;
int msg_disp_step = u_step * rows;
int data_disp_step = data_step * rows;
message(us + u_step, ls + 1, rs - 1, dt, us, msg_disp_step, data_disp_step, cndisp,
cmax_disc_term, cdisc_single_jump);
message(ds - u_step, ls + 1, rs - 1, dt, ds, msg_disp_step, data_disp_step, cndisp,
cmax_disc_term, cdisc_single_jump);
message(us + u_step, ds - u_step, rs - 1, dt, rs, msg_disp_step, data_disp_step, cndisp,
cmax_disc_term, cdisc_single_jump);
message(us + u_step, ds - u_step, ls + 1, dt, ls, msg_disp_step, data_disp_step, cndisp,
cmax_disc_term, cdisc_single_jump);
}
}
///////////////////////////////////////////////////////////////
/////////////////////////// output ////////////////////////////
///////////////////////////////////////////////////////////////
__kernel void output(const __global T *u, int u_step,
const __global T *d, const __global T *l,
const __global T *r, const __global T *data,
__global T *disp, int disp_rows, int disp_cols, int disp_step,
int cndisp)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
if (y > 0 && y < disp_rows - 1 && x > 0 && x < disp_cols - 1)
{
u_step /= sizeof(T);
disp_step /= sizeof(T);
const __global T *us = u + (y + 1) * u_step + x;
const __global T *ds = d + (y - 1) * u_step + x;
const __global T *ls = l + y * u_step + (x + 1);
const __global T *rs = r + y * u_step + (x - 1);
const __global T *dt = data + y * u_step + x;
int disp_steps = disp_rows * u_step;
int best = 0;
float best_val = FLOAT_MAX;
for (int d = 0; d < cndisp; ++d)
{
float val;
val = us[d * disp_steps];
val += ds[d * disp_steps];
val += ls[d * disp_steps];
val += rs[d * disp_steps];
val += dt[d * disp_steps];
if (val < best_val)
{
best_val = val;
best = d;
}
}
(disp + y * disp_step)[x] = convert_short_sat(best);
}
}