opencv/modules/ocl/src/opencl/pyrlk.cl
yao fd4a6f0af0 make the sparse method give correct results on CPU ocl
Add CL_CPU to supportsFeature check
simplify the logic of pyrlk
2013-04-03 13:23:04 +08:00

1374 lines
46 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, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Dachuan Zhao, dachuan@multicorewareinc.com
// Yao Wang, bitwangyaoyao@gmail.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 oclMaterials 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
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//
//M*/
//#pragma OPENCL EXTENSION cl_amd_printf : enable
__kernel void calcSharrDeriv_vertical_C1_D0(__global const uchar* src, int srcStep, int rows, int cols, int cn, __global short* dx_buf, int dx_bufStep, __global short* dy_buf, int dy_bufStep)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
if (y < rows && x < cols * cn)
{
const uchar src_val0 = (src + (y > 0 ? y-1 : rows > 1 ? 1 : 0) * srcStep)[x];
const uchar src_val1 = (src + y * srcStep)[x];
const uchar src_val2 = (src + (y < rows-1 ? y+1 : rows > 1 ? rows-2 : 0) * srcStep)[x];
((__global short*)((__global char*)dx_buf + y * dx_bufStep / 2))[x] = (src_val0 + src_val2) * 3 + src_val1 * 10;
((__global short*)((__global char*)dy_buf + y * dy_bufStep / 2))[x] = src_val2 - src_val0;
}
}
__kernel void calcSharrDeriv_vertical_C4_D0(__global const uchar* src, int srcStep, int rows, int cols, int cn, __global short* dx_buf, int dx_bufStep, __global short* dy_buf, int dy_bufStep)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
if (y < rows && x < cols * cn)
{
const uchar src_val0 = (src + (y > 0 ? y - 1 : 1) * srcStep)[x];
const uchar src_val1 = (src + y * srcStep)[x];
const uchar src_val2 = (src + (y < rows - 1 ? y + 1 : rows - 2) * srcStep)[x];
((__global short*)((__global char*)dx_buf + y * dx_bufStep / 2))[x] = (src_val0 + src_val2) * 3 + src_val1 * 10;
((__global short*)((__global char*)dy_buf + y * dy_bufStep / 2))[x] = src_val2 - src_val0;
}
}
__kernel void calcSharrDeriv_horizontal_C1_D0(int rows, int cols, int cn, __global const short* dx_buf, int dx_bufStep, __global const short* dy_buf, int dy_bufStep, __global short* dIdx, int dIdxStep, __global short* dIdy, int dIdyStep)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
const int colsn = cols * cn;
if (y < rows && x < colsn)
{
__global const short* dx_buf_row = dx_buf + y * dx_bufStep;
__global const short* dy_buf_row = dy_buf + y * dy_bufStep;
const int xr = x + cn < colsn ? x + cn : (cols - 2) * cn + x + cn - colsn;
const int xl = x - cn >= 0 ? x - cn : cn + x;
((__global short*)((__global char*)dIdx + y * dIdxStep / 2))[x] = dx_buf_row[xr] - dx_buf_row[xl];
((__global short*)((__global char*)dIdy + y * dIdyStep / 2))[x] = (dy_buf_row[xr] + dy_buf_row[xl]) * 3 + dy_buf_row[x] * 10;
}
}
__kernel void calcSharrDeriv_horizontal_C4_D0(int rows, int cols, int cn, __global const short* dx_buf, int dx_bufStep, __global const short* dy_buf, int dy_bufStep, __global short* dIdx, int dIdxStep, __global short* dIdy, int dIdyStep)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
const int colsn = cols * cn;
if (y < rows && x < colsn)
{
__global const short* dx_buf_row = dx_buf + y * dx_bufStep;
__global const short* dy_buf_row = dy_buf + y * dy_bufStep;
const int xr = x + cn < colsn ? x + cn : (cols - 2) * cn + x + cn - colsn;
const int xl = x - cn >= 0 ? x - cn : cn + x;
((__global short*)((__global char*)dIdx + y * dIdxStep / 2))[x] = dx_buf_row[xr] - dx_buf_row[xl];
((__global short*)((__global char*)dIdy + y * dIdyStep / 2))[x] = (dy_buf_row[xr] + dy_buf_row[xl]) * 3 + dy_buf_row[x] * 10;
}
}
#define W_BITS 14
#define W_BITS1 14
#define CV_DESCALE(x, n) (((x) + (1 << ((n)-1))) >> (n))
int linearFilter_uchar(__global const uchar* src, int srcStep, int cn, float2 pt, int x, int y)
{
int2 ipt;
ipt.x = convert_int_sat_rtn(pt.x);
ipt.y = convert_int_sat_rtn(pt.y);
float a = pt.x - ipt.x;
float b = pt.y - ipt.y;
int iw00 = convert_int_sat_rte((1.0f - a) * (1.0f - b) * (1 << W_BITS));
int iw01 = convert_int_sat_rte(a * (1.0f - b) * (1 << W_BITS));
int iw10 = convert_int_sat_rte((1.0f - a) * b * (1 << W_BITS));
int iw11 = (1 << W_BITS) - iw00 - iw01 - iw10;
__global const uchar* src_row = src + (ipt.y + y) * srcStep + ipt.x * cn;
__global const uchar* src_row1 = src + (ipt.y + y + 1) * srcStep + ipt.x * cn;
return CV_DESCALE(src_row[x] * iw00 + src_row[x + cn] * iw01 + src_row1[x] * iw10 + src_row1[x + cn] * iw11, W_BITS1 - 5);
}
int linearFilter_short(__global const short* src, int srcStep, int cn, float2 pt, int x, int y)
{
int2 ipt;
ipt.x = convert_int_sat_rtn(pt.x);
ipt.y = convert_int_sat_rtn(pt.y);
float a = pt.x - ipt.x;
float b = pt.y - ipt.y;
int iw00 = convert_int_sat_rte((1.0f - a) * (1.0f - b) * (1 << W_BITS));
int iw01 = convert_int_sat_rte(a * (1.0f - b) * (1 << W_BITS));
int iw10 = convert_int_sat_rte((1.0f - a) * b * (1 << W_BITS));
int iw11 = (1 << W_BITS) - iw00 - iw01 - iw10;
__global const short* src_row = src + (ipt.y + y) * srcStep + ipt.x * cn;
__global const short* src_row1 = src + (ipt.y + y + 1) * srcStep + ipt.x * cn;
return CV_DESCALE(src_row[x] * iw00 + src_row[x + cn] * iw01 + src_row1[x] * iw10 + src_row1[x + cn] * iw11, W_BITS1);
}
float linearFilter_float(__global const float* src, int srcStep, int cn, float2 pt, float x, float y)
{
int2 ipt;
ipt.x = convert_int_sat_rtn(pt.x);
ipt.y = convert_int_sat_rtn(pt.y);
float a = pt.x - ipt.x;
float b = pt.y - ipt.y;
float iw00 = ((1.0f - a) * (1.0f - b) * (1 << W_BITS));
float iw01 = (a * (1.0f - b) * (1 << W_BITS));
float iw10 = ((1.0f - a) * b * (1 << W_BITS));
float iw11 = (1 << W_BITS) - iw00 - iw01 - iw10;
__global const float* src_row = src + (int)(ipt.y + y) * srcStep / 4 + ipt.x * cn;
__global const float* src_row1 = src + (int)(ipt.y + y + 1) * srcStep / 4 + ipt.x * cn;
return src_row[(int)x] * iw00 + src_row[(int)x + cn] * iw01 + src_row1[(int)x] * iw10 + src_row1[(int)x + cn] * iw11, W_BITS1 - 5;
}
#define BUFFER 64
#ifdef CPU
void reduce3(float val1, float val2, float val3, __local float* smem1, __local float* smem2, __local float* smem3, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
smem3[tid] = val3;
barrier(CLK_LOCAL_MEM_FENCE);
#if BUFFER > 128
if (tid < 128)
{
smem1[tid] = val1 += smem1[tid + 128];
smem2[tid] = val2 += smem2[tid + 128];
smem3[tid] = val3 += smem3[tid + 128];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
#if BUFFER > 64
if (tid < 64)
{
smem1[tid] = val1 += smem1[tid + 64];
smem2[tid] = val2 += smem2[tid + 64];
smem3[tid] = val3 += smem3[tid + 64];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (tid < 32)
{
smem1[tid] = val1 += smem1[tid + 32];
smem2[tid] = val2 += smem2[tid + 32];
smem3[tid] = val3 += smem3[tid + 32];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem1[tid] = val1 += smem1[tid + 16];
smem2[tid] = val2 += smem2[tid + 16];
smem3[tid] = val3 += smem3[tid + 16];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem1[tid] = val1 += smem1[tid + 8];
smem2[tid] = val2 += smem2[tid + 8];
smem3[tid] = val3 += smem3[tid + 8];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem1[tid] = val1 += smem1[tid + 4];
smem2[tid] = val2 += smem2[tid + 4];
smem3[tid] = val3 += smem3[tid + 4];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 2)
{
smem1[tid] = val1 += smem1[tid + 2];
smem2[tid] = val2 += smem2[tid + 2];
smem3[tid] = val3 += smem3[tid + 2];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 1)
{
smem1[BUFFER] = val1 += smem1[tid + 1];
smem2[BUFFER] = val2 += smem2[tid + 1];
smem3[BUFFER] = val3 += smem3[tid + 1];
}
barrier(CLK_LOCAL_MEM_FENCE);
}
void reduce2(float val1, float val2, volatile __local float* smem1, volatile __local float* smem2, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
barrier(CLK_LOCAL_MEM_FENCE);
#if BUFFER > 128
if (tid < 128)
{
smem1[tid] = (val1 += smem1[tid + 128]);
smem2[tid] = (val2 += smem2[tid + 128]);
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
#if BUFFER > 64
if (tid < 64)
{
smem1[tid] = (val1 += smem1[tid + 64]);
smem2[tid] = (val2 += smem2[tid + 64]);
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (tid < 32)
{
smem1[tid] = (val1 += smem1[tid + 32]);
smem2[tid] = (val2 += smem2[tid + 32]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem1[tid] = (val1 += smem1[tid + 16]);
smem2[tid] = (val2 += smem2[tid + 16]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem1[tid] = (val1 += smem1[tid + 8]);
smem2[tid] = (val2 += smem2[tid + 8]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem1[tid] = (val1 += smem1[tid + 4]);
smem2[tid] = (val2 += smem2[tid + 4]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 2)
{
smem1[tid] = (val1 += smem1[tid + 2]);
smem2[tid] = (val2 += smem2[tid + 2]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 1)
{
smem1[BUFFER] = (val1 += smem1[tid + 1]);
smem2[BUFFER] = (val2 += smem2[tid + 1]);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
void reduce1(float val1, volatile __local float* smem1, int tid)
{
smem1[tid] = val1;
barrier(CLK_LOCAL_MEM_FENCE);
#if BUFFER > 128
if (tid < 128)
{
smem1[tid] = (val1 += smem1[tid + 128]);
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
#if BUFFER > 64
if (tid < 64)
{
smem1[tid] = (val1 += smem1[tid + 64]);
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (tid < 32)
{
smem1[tid] = (val1 += smem1[tid + 32]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem1[tid] = (val1 += smem1[tid + 16]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem1[tid] = (val1 += smem1[tid + 8]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem1[tid] = (val1 += smem1[tid + 4]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 2)
{
smem1[tid] = (val1 += smem1[tid + 2]);
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 1)
{
smem1[BUFFER] = (val1 += smem1[tid + 1]);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
#else
void reduce3(float val1, float val2, float val3, __local float* smem1, __local float* smem2, __local float* smem3, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
smem3[tid] = val3;
barrier(CLK_LOCAL_MEM_FENCE);
#if BUFFER > 128
if (tid < 128)
{
smem1[tid] = val1 += smem1[tid + 128];
smem2[tid] = val2 += smem2[tid + 128];
smem3[tid] = val3 += smem3[tid + 128];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
#if BUFFER > 64
if (tid < 64)
{
smem1[tid] = val1 += smem1[tid + 64];
smem2[tid] = val2 += smem2[tid + 64];
smem3[tid] = val3 += smem3[tid + 64];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (tid < 32)
{
volatile __local float* vmem1 = smem1;
volatile __local float* vmem2 = smem2;
volatile __local float* vmem3 = smem3;
vmem1[tid] = val1 += vmem1[tid + 32];
vmem2[tid] = val2 += vmem2[tid + 32];
vmem3[tid] = val3 += vmem3[tid + 32];
vmem1[tid] = val1 += vmem1[tid + 16];
vmem2[tid] = val2 += vmem2[tid + 16];
vmem3[tid] = val3 += vmem3[tid + 16];
vmem1[tid] = val1 += vmem1[tid + 8];
vmem2[tid] = val2 += vmem2[tid + 8];
vmem3[tid] = val3 += vmem3[tid + 8];
vmem1[tid] = val1 += vmem1[tid + 4];
vmem2[tid] = val2 += vmem2[tid + 4];
vmem3[tid] = val3 += vmem3[tid + 4];
vmem1[tid] = val1 += vmem1[tid + 2];
vmem2[tid] = val2 += vmem2[tid + 2];
vmem3[tid] = val3 += vmem3[tid + 2];
vmem1[tid] = val1 += vmem1[tid + 1];
vmem2[tid] = val2 += vmem2[tid + 1];
vmem3[tid] = val3 += vmem3[tid + 1];
}
}
void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
barrier(CLK_LOCAL_MEM_FENCE);
#if BUFFER > 128
if (tid < 128)
{
smem1[tid] = val1 += smem1[tid + 128];
smem2[tid] = val2 += smem2[tid + 128];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
#if BUFFER > 64
if (tid < 64)
{
smem1[tid] = val1 += smem1[tid + 64];
smem2[tid] = val2 += smem2[tid + 64];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (tid < 32)
{
volatile __local float* vmem1 = smem1;
volatile __local float* vmem2 = smem2;
vmem1[tid] = val1 += vmem1[tid + 32];
vmem2[tid] = val2 += vmem2[tid + 32];
vmem1[tid] = val1 += vmem1[tid + 16];
vmem2[tid] = val2 += vmem2[tid + 16];
vmem1[tid] = val1 += vmem1[tid + 8];
vmem2[tid] = val2 += vmem2[tid + 8];
vmem1[tid] = val1 += vmem1[tid + 4];
vmem2[tid] = val2 += vmem2[tid + 4];
vmem1[tid] = val1 += vmem1[tid + 2];
vmem2[tid] = val2 += vmem2[tid + 2];
vmem1[tid] = val1 += vmem1[tid + 1];
vmem2[tid] = val2 += vmem2[tid + 1];
}
}
void reduce1(float val1, __local float* smem1, int tid)
{
smem1[tid] = val1;
barrier(CLK_LOCAL_MEM_FENCE);
#if BUFFER > 128
if (tid < 128)
{
smem1[tid] = val1 += smem1[tid + 128];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
#if BUFFER > 64
if (tid < 64)
{
smem1[tid] = val1 += smem1[tid + 64];
}
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (tid < 32)
{
volatile __local float* vmem1 = smem1;
vmem1[tid] = val1 += vmem1[tid + 32];
vmem1[tid] = val1 += vmem1[tid + 16];
vmem1[tid] = val1 += vmem1[tid + 8];
vmem1[tid] = val1 += vmem1[tid + 4];
vmem1[tid] = val1 += vmem1[tid + 2];
vmem1[tid] = val1 += vmem1[tid + 1];
}
}
#endif
#define SCALE (1.0f / (1 << 20))
#define THRESHOLD 0.01f
#define DIMENSION 21
// Image read mode
__constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_LINEAR;
void SetPatch(image2d_t I, float x, float y,
float* Pch, float* Dx, float* Dy,
float* A11, float* A12, float* A22)
{
*Pch = read_imagef(I, sampler, (float2)(x, y)).x;
float dIdx = 3.0f * read_imagef(I, sampler, (float2)(x + 1, y - 1)).x + 10.0f * read_imagef(I, sampler, (float2)(x + 1, y)).x + 3.0f * read_imagef(I, sampler, (float2)(x + 1, y + 1)).x -
(3.0f * read_imagef(I, sampler, (float2)(x - 1, y - 1)).x + 10.0f * read_imagef(I, sampler, (float2)(x - 1, y)).x + 3.0f * read_imagef(I, sampler, (float2)(x - 1, y + 1)).x);
float dIdy = 3.0f * read_imagef(I, sampler, (float2)(x - 1, y + 1)).x + 10.0f * read_imagef(I, sampler, (float2)(x, y + 1)).x + 3.0f * read_imagef(I, sampler, (float2)(x + 1, y + 1)).x -
(3.0f * read_imagef(I, sampler, (float2)(x - 1, y - 1)).x + 10.0f * read_imagef(I, sampler, (float2)(x, y - 1)).x + 3.0f * read_imagef(I, sampler, (float2)(x + 1, y - 1)).x);
*Dx = dIdx;
*Dy = dIdy;
*A11 += dIdx * dIdx;
*A12 += dIdx * dIdy;
*A22 += dIdy * dIdy;
}
void GetPatch(image2d_t J, float x, float y,
float* Pch, float* Dx, float* Dy,
float* b1, float* b2)
{
float J_val = read_imagef(J, sampler, (float2)(x, y)).x;
float diff = (J_val - *Pch) * 32.0f;
*b1 += diff**Dx;
*b2 += diff**Dy;
}
void GetError(image2d_t J, const float x, const float y, const float* Pch, float* errval)
{
float diff = read_imagef(J, sampler, (float2)(x,y)).x-*Pch;
*errval += fabs(diff);
}
void SetPatch4(image2d_t I, const float x, const float y,
float4* Pch, float4* Dx, float4* Dy,
float* A11, float* A12, float* A22)
{
*Pch = read_imagef(I, sampler, (float2)(x, y));
float4 dIdx = 3.0f * read_imagef(I, sampler, (float2)(x + 1, y - 1)) + 10.0f * read_imagef(I, sampler, (float2)(x + 1, y)) + 3.0f * read_imagef(I, sampler, (float2)(x + 1, y + 1)) -
(3.0f * read_imagef(I, sampler, (float2)(x - 1, y - 1)) + 10.0f * read_imagef(I, sampler, (float2)(x - 1, y)) + 3.0f * read_imagef(I, sampler, (float2)(x - 1, y + 1)));
float4 dIdy = 3.0f * read_imagef(I, sampler, (float2)(x - 1, y + 1)) + 10.0f * read_imagef(I, sampler, (float2)(x, y + 1)) + 3.0f * read_imagef(I, sampler, (float2)(x + 1, y + 1)) -
(3.0f * read_imagef(I, sampler, (float2)(x - 1, y - 1)) + 10.0f * read_imagef(I, sampler, (float2)(x, y - 1)) + 3.0f * read_imagef(I, sampler, (float2)(x + 1, y - 1)));
*Dx = dIdx;
*Dy = dIdy;
float4 sqIdx = dIdx * dIdx;
*A11 += sqIdx.x + sqIdx.y + sqIdx.z;
sqIdx = dIdx * dIdy;
*A12 += sqIdx.x + sqIdx.y + sqIdx.z;
sqIdx = dIdy * dIdy;
*A22 += sqIdx.x + sqIdx.y + sqIdx.z;
}
void GetPatch4(image2d_t J, const float x, const float y,
const float4* Pch, const float4* Dx, const float4* Dy,
float* b1, float* b2)
{
float4 J_val = read_imagef(J, sampler, (float2)(x, y));
float4 diff = (J_val - *Pch) * 32.0f;
float4 xdiff = diff* *Dx;
*b1 += xdiff.x + xdiff.y + xdiff.z;
xdiff = diff* *Dy;
*b2 += xdiff.x + xdiff.y + xdiff.z;
}
void GetError4(image2d_t J, const float x, const float y, const float4* Pch, float* errval)
{
float4 diff = read_imagef(J, sampler, (float2)(x,y))-*Pch;
*errval += fabs(diff.x) + fabs(diff.y) + fabs(diff.z);
}
#define GRIDSIZE 3
__kernel void lkSparse_C1_D5(image2d_t I, image2d_t J,
__global const float2* prevPts, int prevPtsStep, __global float2* nextPts, int nextPtsStep, __global uchar* status, __global float* err,
const int level, const int rows, const int cols, int PATCH_X, int PATCH_Y, int cn, int c_winSize_x, int c_winSize_y, int c_iters, char calcErr)
{
#ifdef CPU
__local float smem1[BUFFER+1];
__local float smem2[BUFFER+1];
__local float smem3[BUFFER+1];
#else
__local float smem1[BUFFER];
__local float smem2[BUFFER];
__local float smem3[BUFFER];
#endif
unsigned int xid=get_local_id(0);
unsigned int yid=get_local_id(1);
unsigned int gid=get_group_id(0);
unsigned int xsize=get_local_size(0);
unsigned int ysize=get_local_size(1);
int xBase, yBase, i, j, k;
float2 c_halfWin = (float2)((c_winSize_x - 1)>>1, (c_winSize_y - 1)>>1);
const int tid = mad24(yid, xsize, xid);
float2 prevPt = prevPts[gid] / (float2)(1 << level);
if (prevPt.x < 0 || prevPt.x >= cols || prevPt.y < 0 || prevPt.y >= rows)
{
if (tid == 0 && level == 0)
{
status[gid] = 0;
}
return;
}
prevPt -= c_halfWin;
// extract the patch from the first image, compute covariation matrix of derivatives
float A11 = 0;
float A12 = 0;
float A22 = 0;
float I_patch[GRIDSIZE][GRIDSIZE];
float dIdx_patch[GRIDSIZE][GRIDSIZE];
float dIdy_patch[GRIDSIZE][GRIDSIZE];
yBase=yid;
{
xBase=xid;
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0],
&A11, &A12, &A22);
xBase+=xsize;
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1],
&A11, &A12, &A22);
xBase+=xsize;
if(xBase<c_winSize_x)
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2],
&A11, &A12, &A22);
}
yBase+=ysize;
{
xBase=xid;
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0],
&A11, &A12, &A22);
xBase+=xsize;
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1],
&A11, &A12, &A22);
xBase+=xsize;
if(xBase<c_winSize_x)
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2],
&A11, &A12, &A22);
}
yBase+=ysize;
if(yBase<c_winSize_y)
{
xBase=xid;
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0],
&A11, &A12, &A22);
xBase+=xsize;
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1],
&A11, &A12, &A22);
xBase+=xsize;
if(xBase<c_winSize_x)
SetPatch(I, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2],
&A11, &A12, &A22);
}
reduce3(A11, A12, A22, smem1, smem2, smem3, tid);
barrier(CLK_LOCAL_MEM_FENCE);
#ifdef CPU
A11 = smem1[BUFFER];
A12 = smem2[BUFFER];
A22 = smem3[BUFFER];
#else
A11 = smem1[0];
A12 = smem2[0];
A22 = smem3[0];
#endif
float D = A11 * A22 - A12 * A12;
if (D < 1.192092896e-07f)
{
if (tid == 0 && level == 0)
status[gid] = 0;
return;
}
A11 /= D;
A12 /= D;
A22 /= D;
prevPt = nextPts[gid] * 2.0f - c_halfWin;
for (k = 0; k < c_iters; ++k)
{
if (prevPt.x < -c_halfWin.x || prevPt.x >= cols || prevPt.y < -c_halfWin.y || prevPt.y >= rows)
{
if (tid == 0 && level == 0)
status[gid] = 0;
return;
}
float b1 = 0;
float b2 = 0;
yBase=yid;
{
xBase=xid;
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0],
&b1, &b2);
xBase+=xsize;
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1],
&b1, &b2);
xBase+=xsize;
if(xBase<c_winSize_x)
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2],
&b1, &b2);
}
yBase+=ysize;
{
xBase=xid;
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0],
&b1, &b2);
xBase+=xsize;
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1],
&b1, &b2);
xBase+=xsize;
if(xBase<c_winSize_x)
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2],
&b1, &b2);
}
yBase+=ysize;
if(yBase<c_winSize_y)
{
xBase=xid;
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0],
&b1, &b2);
xBase+=xsize;
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1],
&b1, &b2);
xBase+=xsize;
if(xBase<c_winSize_x)
GetPatch(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2],
&b1, &b2);
}
reduce2(b1, b2, smem1, smem2, tid);
barrier(CLK_LOCAL_MEM_FENCE);
#ifdef CPU
b1 = smem1[BUFFER];
b2 = smem2[BUFFER];
#else
b1 = smem1[0];
b2 = smem2[0];
#endif
float2 delta;
delta.x = A12 * b2 - A22 * b1;
delta.y = A12 * b1 - A11 * b2;
prevPt += delta;
if (fabs(delta.x) < THRESHOLD && fabs(delta.y) < THRESHOLD)
break;
}
D = 0.0f;
if (calcErr)
{
yBase=yid;
{
xBase=xid;
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][0], &D);
xBase+=xsize;
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][1], &D);
xBase+=xsize;
if(xBase<c_winSize_x)
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[0][2], &D);
}
yBase+=ysize;
{
xBase=xid;
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][0], &D);
xBase+=xsize;
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][1], &D);
xBase+=xsize;
if(xBase<c_winSize_x)
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[1][2], &D);
}
yBase+=ysize;
if(yBase<c_winSize_y)
{
xBase=xid;
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][0], &D);
xBase+=xsize;
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][1], &D);
xBase+=xsize;
if(xBase<c_winSize_x)
GetError(J, prevPt.x + xBase + 0.5f, prevPt.y + yBase + 0.5f,
&I_patch[2][2], &D);
}
reduce1(D, smem1, tid);
}
if (tid == 0)
{
prevPt += c_halfWin;
nextPts[gid] = prevPt;
if (calcErr)
#ifdef CPU
err[gid] = smem1[BUFFER] / (float)(c_winSize_x * c_winSize_y);
#else
err[gid] = smem1[0] / (float)(c_winSize_x * c_winSize_y);
#endif
}
}
__kernel void lkSparse_C4_D5(image2d_t I, image2d_t J,
__global const float2* prevPts, int prevPtsStep, __global float2* nextPts, int nextPtsStep, __global uchar* status, __global float* err,
const int level, const int rows, const int cols, int PATCH_X, int PATCH_Y, int cn, int c_winSize_x, int c_winSize_y, int c_iters, char calcErr)
{
#ifdef CPU
__local float smem1[BUFFER+1];
__local float smem2[BUFFER+1];
__local float smem3[BUFFER+1];
#else
__local float smem1[BUFFER];
__local float smem2[BUFFER];
__local float smem3[BUFFER];
#endif
unsigned int xid=get_local_id(0);
unsigned int yid=get_local_id(1);
unsigned int gid=get_group_id(0);
unsigned int xsize=get_local_size(0);
unsigned int ysize=get_local_size(1);
int xBase, yBase, i, j, k;
float2 c_halfWin = (float2)((c_winSize_x - 1)>>1, (c_winSize_y - 1)>>1);
const int tid = mad24(yid, xsize, xid);
float2 nextPt = prevPts[gid]/(float2)(1<<level);
if (nextPt.x < 0 || nextPt.x >= cols || nextPt.y < 0 || nextPt.y >= rows)
{
if (tid == 0 && level == 0)
{
status[gid] = 0;
}
return;
}
nextPt -= c_halfWin;
// extract the patch from the first image, compute covariation matrix of derivatives
float A11 = 0.0f;
float A12 = 0.0f;
float A22 = 0.0f;
float4 I_patch[8];
float4 dIdx_patch[8];
float4 dIdy_patch[8];
float4 I_add,Dx_add,Dy_add;
yBase=yid;
{
xBase=xid;
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[0], &dIdx_patch[0], &dIdy_patch[0],
&A11, &A12, &A22);
xBase+=xsize;
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[1], &dIdx_patch[1], &dIdy_patch[1],
&A11, &A12, &A22);
xBase+=xsize;
if(xBase<c_winSize_x)
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[2], &dIdx_patch[2], &dIdy_patch[2],
&A11, &A12, &A22);
}
yBase+=ysize;
{
xBase=xid;
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[3], &dIdx_patch[3], &dIdy_patch[3],
&A11, &A12, &A22);
xBase+=xsize;
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[4], &dIdx_patch[4], &dIdy_patch[4],
&A11, &A12, &A22);
xBase+=xsize;
if(xBase<c_winSize_x)
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[5], &dIdx_patch[5], &dIdy_patch[5],
&A11, &A12, &A22);
}
yBase+=ysize;
if(yBase<c_winSize_y)
{
xBase=xid;
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[6], &dIdx_patch[6], &dIdy_patch[6],
&A11, &A12, &A22);
xBase+=xsize;
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[7], &dIdx_patch[7], &dIdy_patch[7],
&A11, &A12, &A22);
xBase+=xsize;
if(xBase<c_winSize_x)
SetPatch4(I, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_add, &Dx_add, &Dy_add,
&A11, &A12, &A22);
}
reduce3(A11, A12, A22, smem1, smem2, smem3, tid);
barrier(CLK_LOCAL_MEM_FENCE);
#ifdef CPU
A11 = smem1[BUFFER];
A12 = smem2[BUFFER];
A22 = smem3[BUFFER];
#else
A11 = smem1[0];
A12 = smem2[0];
A22 = smem3[0];
#endif
float D = A11 * A22 - A12 * A12;
if (D < 1.192092896e-07f)
{
if (tid == 0 && level == 0)
status[gid] = 0;
return;
}
A11 /= D;
A12 /= D;
A22 /= D;
nextPt = nextPts[gid] * 2.0f - c_halfWin;
for (k = 0; k < c_iters; ++k)
{
if (nextPt.x < -c_halfWin.x || nextPt.x >= cols || nextPt.y < -c_halfWin.y || nextPt.y >= rows)
{
if (tid == 0 && level == 0)
status[gid] = 0;
return;
}
float b1 = 0;
float b2 = 0;
yBase=yid;
{
xBase=xid;
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[0], &dIdx_patch[0], &dIdy_patch[0],
&b1, &b2);
xBase+=xsize;
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[1], &dIdx_patch[1], &dIdy_patch[1],
&b1, &b2);
xBase+=xsize;
if(xBase<c_winSize_x)
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[2], &dIdx_patch[2], &dIdy_patch[2],
&b1, &b2);
}
yBase+=ysize;
{
xBase=xid;
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[3], &dIdx_patch[3], &dIdy_patch[3],
&b1, &b2);
xBase+=xsize;
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[4], &dIdx_patch[4], &dIdy_patch[4],
&b1, &b2);
xBase+=xsize;
if(xBase<c_winSize_x)
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[5], &dIdx_patch[5], &dIdy_patch[5],
&b1, &b2);
}
yBase+=ysize;
if(yBase<c_winSize_y)
{
xBase=xid;
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[6], &dIdx_patch[6], &dIdy_patch[6],
&b1, &b2);
xBase+=xsize;
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[7], &dIdx_patch[7], &dIdy_patch[7],
&b1, &b2);
xBase+=xsize;
if(xBase<c_winSize_x)
GetPatch4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_add, &Dx_add, &Dy_add,
&b1, &b2);
}
reduce2(b1, b2, smem1, smem2, tid);
barrier(CLK_LOCAL_MEM_FENCE);
#ifdef CPU
b1 = smem1[BUFFER];
b2 = smem2[BUFFER];
#else
b1 = smem1[0];
b2 = smem2[0];
#endif
float2 delta;
delta.x = A12 * b2 - A22 * b1;
delta.y = A12 * b1 - A11 * b2;
nextPt +=delta;
if (fabs(delta.x) < THRESHOLD && fabs(delta.y) < THRESHOLD)
break;
}
D = 0.0f;
if (calcErr)
{
yBase=yid;
{
xBase=xid;
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[0], &D);
xBase+=xsize;
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[1], &D);
xBase+=xsize;
if(xBase<c_winSize_x)
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[2], &D);
}
yBase+=ysize;
{
xBase=xid;
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[3], &D);
xBase+=xsize;
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[4], &D);
xBase+=xsize;
if(xBase<c_winSize_x)
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[5], &D);
}
yBase+=ysize;
if(yBase<c_winSize_y)
{
xBase=xid;
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[6], &D);
xBase+=xsize;
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_patch[7], &D);
xBase+=xsize;
if(xBase<c_winSize_x)
GetError4(J, nextPt.x + xBase + 0.5f, nextPt.y + yBase + 0.5f,
&I_add, &D);
}
reduce1(D, smem1, tid);
}
if (tid == 0)
{
nextPt += c_halfWin;
nextPts[gid] = nextPt;
if (calcErr)
#ifdef CPU
err[gid] = smem1[BUFFER] / (float)(3 * c_winSize_x * c_winSize_y);
#else
err[gid] = smem1[0] / (float)(3 * c_winSize_x * c_winSize_y);
#endif
}
}
__kernel void lkDense_C1_D0(image2d_t I, image2d_t J, __global float* u, int uStep, __global float* v, int vStep, __global const float* prevU, int prevUStep, __global const float* prevV, int prevVStep,
const int rows, const int cols, /*__global float* err, int errStep, int cn,*/ int c_winSize_x, int c_winSize_y, int c_iters, char calcErr)
{
int c_halfWin_x = (c_winSize_x - 1) / 2;
int c_halfWin_y = (c_winSize_y - 1) / 2;
const int patchWidth = get_local_size(0) + 2 * c_halfWin_x;
const int patchHeight = get_local_size(1) + 2 * c_halfWin_y;
__local int smem[8192];
__local int* I_patch = smem;
__local int* dIdx_patch = I_patch + patchWidth * patchHeight;
__local int* dIdy_patch = dIdx_patch + patchWidth * patchHeight;
const int xBase = get_group_id(0) * get_local_size(0);
const int yBase = get_group_id(1) * get_local_size(1);
sampler_t sampleri = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST;
for (int i = get_local_id(1); i < patchHeight; i += get_local_size(1))
{
for (int j = get_local_id(0); j < patchWidth; j += get_local_size(0))
{
float x = xBase - c_halfWin_x + j + 0.5f;
float y = yBase - c_halfWin_y + i + 0.5f;
I_patch[i * patchWidth + j] = read_imagei(I, sampleri, (float2)(x, y)).x;
// Sharr Deriv
dIdx_patch[i * patchWidth + j] = 3 * read_imagei(I, sampleri, (float2)(x+1, y-1)).x + 10 * read_imagei(I, sampleri, (float2)(x+1, y)).x + 3 * read_imagei(I, sampleri, (float2)(x+1, y+1)).x -
(3 * read_imagei(I, sampleri, (float2)(x-1, y-1)).x + 10 * read_imagei(I, sampleri, (float2)(x-1, y)).x + 3 * read_imagei(I, sampleri, (float2)(x-1, y+1)).x);
dIdy_patch[i * patchWidth + j] = 3 * read_imagei(I, sampleri, (float2)(x-1, y+1)).x + 10 * read_imagei(I, sampleri, (float2)(x, y+1)).x + 3 * read_imagei(I, sampleri, (float2)(x+1, y+1)).x -
(3 * read_imagei(I, sampleri, (float2)(x-1, y-1)).x + 10 * read_imagei(I, sampleri, (float2)(x, y-1)).x + 3 * read_imagei(I, sampleri, (float2)(x+1, y-1)).x);
}
}
barrier(CLK_LOCAL_MEM_FENCE);
// extract the patch from the first image, compute covariation matrix of derivatives
const int x = get_global_id(0);
const int y = get_global_id(1);
if (x >= cols || y >= rows)
return;
int A11i = 0;
int A12i = 0;
int A22i = 0;
for (int i = 0; i < c_winSize_y; ++i)
{
for (int j = 0; j < c_winSize_x; ++j)
{
int dIdx = dIdx_patch[(get_local_id(1) + i) * patchWidth + (get_local_id(0) + j)];
int dIdy = dIdy_patch[(get_local_id(1) + i) * patchWidth + (get_local_id(0) + j)];
A11i += dIdx * dIdx;
A12i += dIdx * dIdy;
A22i += dIdy * dIdy;
}
}
float A11 = A11i;
float A12 = A12i;
float A22 = A22i;
float D = A11 * A22 - A12 * A12;
//if (calcErr && GET_MIN_EIGENVALS)
// (err + y * errStep)[x] = minEig;
if (D < 1.192092896e-07f)
{
//if (calcErr)
// err(y, x) = 3.402823466e+38f;
return;
}
D = 1.f / D;
A11 *= D;
A12 *= D;
A22 *= D;
float2 nextPt;
nextPt.x = x + prevU[y/2 * prevUStep / 4 + x/2] * 2.0f;
nextPt.y = y + prevV[y/2 * prevVStep / 4 + x/2] * 2.0f;
for (int k = 0; k < c_iters; ++k)
{
if (nextPt.x < 0 || nextPt.x >= cols || nextPt.y < 0 || nextPt.y >= rows)
{
//if (calcErr)
// err(y, x) = 3.402823466e+38f;
return;
}
int b1 = 0;
int b2 = 0;
for (int i = 0; i < c_winSize_y; ++i)
{
for (int j = 0; j < c_winSize_x; ++j)
{
int iI = I_patch[(get_local_id(1) + i) * patchWidth + get_local_id(0) + j];
int iJ = read_imagei(J, sampler, (float2)(nextPt.x - c_halfWin_x + j + 0.5f, nextPt.y - c_halfWin_y + i + 0.5f)).x;
int diff = (iJ - iI) * 32;
int dIdx = dIdx_patch[(get_local_id(1) + i) * patchWidth + (get_local_id(0) + j)];
int dIdy = dIdy_patch[(get_local_id(1) + i) * patchWidth + (get_local_id(0) + j)];
b1 += diff * dIdx;
b2 += diff * dIdy;
}
}
float2 delta;
delta.x = A12 * b2 - A22 * b1;
delta.y = A12 * b1 - A11 * b2;
nextPt.x += delta.x;
nextPt.y += delta.y;
if (fabs(delta.x) < 0.01f && fabs(delta.y) < 0.01f)
break;
}
u[y * uStep / 4 + x] = nextPt.x - x;
v[y * vStep / 4 + x] = nextPt.y - y;
if (calcErr)
{
int errval = 0;
for (int i = 0; i < c_winSize_y; ++i)
{
for (int j = 0; j < c_winSize_x; ++j)
{
int iI = I_patch[(get_local_id(1) + i) * patchWidth + get_local_id(0) + j];
int iJ = read_imagei(J, sampler, (float2)(nextPt.x - c_halfWin_x + j + 0.5f, nextPt.y - c_halfWin_y + i + 0.5f)).x;
errval += abs(iJ - iI);
}
}
//err[y * errStep / 4 + x] = static_cast<float>(errval) / (c_winSize_x * c_winSize_y);
}
}