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提交 3406832a 编写于 作者: A Andrey Kamaev 提交者： OpenCV Buildbot
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Merge pull request #528 from bitwangyaoyao:2.4_fixPyrLK

上级 b1975fb1 1a488c05
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Showing with 129 addition and 215 deletion
modules/ocl/src/mcwutil.cpp
浏览文件 @ 3406832a
......@@ -46,6 +46,9 @@
#include "mcwutil.hpp"
#if defined (HAVE_OPENCL)
#ifndef CL_VERSION_1_2
#define CL_VERSION_1_2 0
#endif
using namespace std;
......@@ -123,6 +126,101 @@ namespace cv
openCLExecuteKernel_2(clCxt, source, kernelName, globalThreads, localThreads, args, channels, depth,
build_options, finish_mode);
}
cl_mem bindTexture(const oclMat &mat)
{
cl_mem texture;
cl_image_format format;
int err;
int depth = mat.depth();
int channels = mat.channels();
switch(depth)
{
case CV_8U:
format.image_channel_data_type = CL_UNSIGNED_INT8;
break;
case CV_32S:
format.image_channel_data_type = CL_UNSIGNED_INT32;
break;
case CV_32F:
format.image_channel_data_type = CL_FLOAT;
break;
default:
throw std::exception();
break;
}
switch(channels)
{
case 1:
format.image_channel_order = CL_R;
break;
case 3:
format.image_channel_order = CL_RGB;
break;
case 4:
format.image_channel_order = CL_RGBA;
break;
default:
throw std::exception();
break;
}
#if CL_VERSION_1_2
cl_image_desc desc;
desc.image_type = CL_MEM_OBJECT_IMAGE2D;
desc.image_width = mat.cols;
desc.image_height = mat.rows;
desc.image_depth = 0;
desc.image_array_size = 1;
desc.image_row_pitch = 0;
desc.image_slice_pitch = 0;
desc.buffer = NULL;
desc.num_mip_levels = 0;
desc.num_samples = 0;
texture = clCreateImage(mat.clCxt->impl->clContext, CL_MEM_READ_WRITE, &format, &desc, NULL, &err);
#else
texture = clCreateImage2D(
mat.clCxt->impl->clContext,
CL_MEM_READ_WRITE,
&format,
mat.cols,
mat.rows,
0,
NULL,
&err);
#endif
size_t origin[] = { 0, 0, 0 };
size_t region[] = { mat.cols, mat.rows, 1 };
cl_mem devData;
if (mat.cols * mat.elemSize() != mat.step)
{
devData = clCreateBuffer(mat.clCxt->impl->clContext, CL_MEM_READ_ONLY, mat.cols * mat.rows
* mat.elemSize(), NULL, NULL);
const size_t regin[3] = {mat.cols * mat.elemSize(), mat.rows, 1};
clEnqueueCopyBufferRect(mat.clCxt->impl->clCmdQueue, (cl_mem)mat.data, devData, origin, origin,
regin, mat.step, 0, mat.cols * mat.elemSize(), 0, 0, NULL, NULL);
}
else
{
devData = (cl_mem)mat.data;
}
clEnqueueCopyBufferToImage(mat.clCxt->impl->clCmdQueue, devData, texture, 0, origin, region, 0, NULL, 0);
if ((mat.cols * mat.elemSize() != mat.step))
{
clFinish(mat.clCxt->impl->clCmdQueue);
clReleaseMemObject(devData);
}
openCLSafeCall(err);
return texture;
}
void releaseTexture(cl_mem& texture)
{
openCLFree(texture);
}
}//namespace ocl
}//namespace cv
......
modules/ocl/src/mcwutil.hpp
浏览文件 @ 3406832a
......@@ -67,6 +67,12 @@ namespace cv
void openCLExecuteKernel2(Context *clCxt , const char **source, string kernelName, size_t globalThreads[3],
size_t localThreads[3], vector< pair<size_t, const void *> > &args, int channels,
int depth, char *build_options, FLUSH_MODE finish_mode = DISABLE);
// bind oclMat to OpenCL image textures
// note:
// 1. there is no memory management. User need to explicitly release the resource
// 2. for faster clamping, there is no buffer padding for the constructed texture
cl_mem bindTexture(const oclMat &mat);
void releaseTexture(cl_mem& texture);
}//namespace ocl
}//namespace cv
......
modules/ocl/src/pyrlk.cpp
浏览文件 @ 3406832a
......@@ -10,10 +10,15 @@
// 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.
// 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, yao@multicorewareinc.com
// Nathan, liujun@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
......@@ -22,13 +27,13 @@
//
// * 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.
// 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 bpied warranties, including, but not limited to, the bpied
// 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
......@@ -40,6 +45,7 @@
//
//M*/
#include "precomp.hpp"
#include "mcwutil.hpp"
using namespace std;
......@@ -568,197 +574,16 @@ static void pyrDown_cus(const oclMat &src, oclMat &dst)
pyrdown_run_cus(src, dst);
}
//struct MultiplyScalar
//{
// MultiplyScalar(double val_, double scale_) : val(val_), scale(scale_) {}
// double operator ()(double a) const
// {
// return (scale * a * val);
// }
// const double val;
// const double scale;
//};
//
//void callF(const oclMat& src, oclMat& dst, MultiplyScalar op, int mask)
//{
// Mat srcTemp;
// Mat dstTemp;
// src.download(srcTemp);
// dst.download(dstTemp);
//
// int i;
// int j;
// int k;
// for(i = 0; i < srcTemp.rows; i++)
// {
// for(j = 0; j < srcTemp.cols; j++)
// {
// for(k = 0; k < srcTemp.channels(); k++)
// {
// ((float*)dstTemp.data)[srcTemp.channels() * (i * srcTemp.rows + j) + k] = (float)op(((float*)srcTemp.data)[srcTemp.channels() * (i * srcTemp.rows + j) + k]);
// }
// }
// }
//
// dst = dstTemp;
//}
//
//static inline bool isAligned(const unsigned char* ptr, size_t size)
//{
// return reinterpret_cast<size_t>(ptr) % size == 0;
//}
//
//static inline bool isAligned(size_t step, size_t size)
//{
// return step % size == 0;
//}
//
//void callT(const oclMat& src, oclMat& dst, MultiplyScalar op, int mask)
//{
// if (!isAligned(src.data, 4 * sizeof(double)) || !isAligned(src.step, 4 * sizeof(double)) ||
// !isAligned(dst.data, 4 * sizeof(double)) || !isAligned(dst.step, 4 * sizeof(double)))
// {
// callF(src, dst, op, mask);
// return;
// }
//
// Mat srcTemp;
// Mat dstTemp;
// src.download(srcTemp);
// dst.download(dstTemp);
//
// int x_shifted;
//
// int i;
// int j;
// for(i = 0; i < srcTemp.rows; i++)
// {
// const double* srcRow = (const double*)srcTemp.data + i * srcTemp.rows;
// double* dstRow = (double*)dstTemp.data + i * dstTemp.rows;;
//
// for(j = 0; j < srcTemp.cols; j++)
// {
// x_shifted = j * 4;
//
// if(x_shifted + 4 - 1 < srcTemp.cols)
// {
// dstRow[x_shifted ] = op(srcRow[x_shifted ]);
// dstRow[x_shifted + 1] = op(srcRow[x_shifted + 1]);
// dstRow[x_shifted + 2] = op(srcRow[x_shifted + 2]);
// dstRow[x_shifted + 3] = op(srcRow[x_shifted + 3]);
// }
// else
// {
// for (int real_x = x_shifted; real_x < srcTemp.cols; ++real_x)
// {
// ((float*)dstTemp.data)[i * srcTemp.rows + real_x] = op(((float*)srcTemp.data)[i * srcTemp.rows + real_x]);
// }
// }
// }
// }
//}
//
//void multiply(const oclMat& src1, double val, oclMat& dst, double scale = 1.0f);
//void multiply(const oclMat& src1, double val, oclMat& dst, double scale)
//{
// MultiplyScalar op(val, scale);
// //if(src1.channels() == 1 && dst.channels() == 1)
// //{
// // callT(src1, dst, op, 0);
// //}
// //else
// //{
// callF(src1, dst, op, 0);
// //}
//}
static cl_mem bindTexture(const oclMat &mat, int depth, int channels)
{
cl_mem texture;
cl_image_format format;
int err;
if(depth == 0)
{
format.image_channel_data_type = CL_UNSIGNED_INT8;
}
else if(depth == 5)
{
format.image_channel_data_type = CL_FLOAT;
}
if(channels == 1)
{
format.image_channel_order = CL_R;
}
else if(channels == 3)
{
format.image_channel_order = CL_RGB;
}
else if(channels == 4)
{
format.image_channel_order = CL_RGBA;
}
#ifdef CL_VERSION_1_2
cl_image_desc desc;
desc.image_type = CL_MEM_OBJECT_IMAGE2D;
desc.image_width = mat.step / mat.elemSize();
desc.image_height = mat.rows;
desc.image_depth = 0;
desc.image_array_size = 1;
desc.image_row_pitch = 0;
desc.image_slice_pitch = 0;
desc.buffer = NULL;
desc.num_mip_levels = 0;
desc.num_samples = 0;
texture = clCreateImage(mat.clCxt->impl->clContext, CL_MEM_READ_WRITE, &format, &desc, NULL, &err);
#else
texture = clCreateImage2D(
mat.clCxt->impl->clContext,
CL_MEM_READ_WRITE,
&format,
mat.step / mat.elemSize(),
mat.rows,
0,
NULL,
&err);
#endif
size_t origin[] = { 0, 0, 0 };
size_t region[] = { mat.step / mat.elemSize(), mat.rows, 1 };
clEnqueueCopyBufferToImage(mat.clCxt->impl->clCmdQueue, (cl_mem)mat.data, texture, 0, origin, region, 0, NULL, 0);
openCLSafeCall(err);
return texture;
}
static void releaseTexture(cl_mem texture)
{
openCLFree(texture);
}
static void lkSparse_run(oclMat &I, oclMat &J,
const oclMat &prevPts, oclMat &nextPts, oclMat &status, oclMat& err, bool /*GET_MIN_EIGENVALS*/, int ptcount,
int level, /*dim3 block, */dim3 patch, Size winSize, int iters)
{
Context *clCxt = I.clCxt;
char platform[256] = {0};
cl_platform_id pid;
clGetDeviceInfo(clCxt->impl->devices, CL_DEVICE_PLATFORM, sizeof(pid), &pid, NULL);
clGetPlatformInfo(pid, CL_PLATFORM_NAME, 256, platform, NULL);
std::string namestr = platform;
bool isImageSupported = true;
if(namestr.find("NVIDIA")!=string::npos || namestr.find("Intel")!=string::npos)
isImageSupported = false;
int elemCntPerRow = I.step / I.elemSize();
string kernelName = "lkSparse";
size_t localThreads[3] = { 8, isImageSupported?8:32, 1 };
size_t globalThreads[3] = { 8 * ptcount, isImageSupported?8:32, 1};
size_t localThreads[3] = { 8, 8, 1 };
size_t globalThreads[3] = { 8 * ptcount, 8, 1};
int cn = I.oclchannels();
char calcErr;
if (level == 0)
{
......@@ -770,22 +595,11 @@ static void lkSparse_run(oclMat &I, oclMat &J,
}
vector<pair<size_t , const void *> > args;
cl_mem ITex;
cl_mem JTex;
if (isImageSupported)
{
ITex = bindTexture(I, I.depth(), cn);
JTex = bindTexture(J, J.depth(), cn);
}
else
{
ITex = (cl_mem)I.data;
JTex = (cl_mem)J.data;
}
cl_mem ITex = bindTexture(I);
cl_mem JTex = bindTexture(J);
args.push_back( make_pair( sizeof(cl_mem), (void *)&ITex ));
args.push_back( make_pair( sizeof(cl_mem), (void *)&JTex ));
//cl_mem clmD = clCreateBuffer(clCxt, CL_MEM_READ_WRITE, ptcount * sizeof(float), NULL, NULL);
args.push_back( make_pair( sizeof(cl_mem), (void *)&prevPts.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&prevPts.step ));
args.push_back( make_pair( sizeof(cl_mem), (void *)&nextPts.data ));
......@@ -795,10 +609,6 @@ static void lkSparse_run(oclMat &I, oclMat &J,
args.push_back( make_pair( sizeof(cl_int), (void *)&level ));
args.push_back( make_pair( sizeof(cl_int), (void *)&I.rows ));
args.push_back( make_pair( sizeof(cl_int), (void *)&I.cols ));
if (!isImageSupported)
{
args.push_back( make_pair( sizeof(cl_int), (void *)&elemCntPerRow ) );
}
args.push_back( make_pair( sizeof(cl_int), (void *)&patch.x ));
args.push_back( make_pair( sizeof(cl_int), (void *)&patch.y ));
args.push_back( make_pair( sizeof(cl_int), (void *)&cn ));
......@@ -806,18 +616,20 @@ static void lkSparse_run(oclMat &I, oclMat &J,
args.push_back( make_pair( sizeof(cl_int), (void *)&winSize.height ));
args.push_back( make_pair( sizeof(cl_int), (void *)&iters ));
args.push_back( make_pair( sizeof(cl_char), (void *)&calcErr ));
//args.push_back( make_pair( sizeof(cl_char), (void *)&GET_MIN_EIGENVALS ));
if (isImageSupported)
try
{
openCLExecuteKernel2(clCxt, &pyrlk, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
releaseTexture(ITex);
releaseTexture(JTex);
}
else
catch(Exception&)
{
//printf("Warning: The image2d_t is not supported by the device. Using alternative method!\n");
printf("Warning: The image2d_t is not supported by the device. Using alternative method!\n");
releaseTexture(ITex);
releaseTexture(JTex);
ITex = (cl_mem)I.data;
JTex = (cl_mem)J.data;
localThreads[1] = globalThreads[1] = 32;
args.insert( args.begin()+11, make_pair( sizeof(cl_int), (void *)&elemCntPerRow ) );
openCLExecuteKernel2(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
}
}
......@@ -927,8 +739,6 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
size_t localThreads[3] = { 16, 16, 1 };
size_t globalThreads[3] = { I.cols, I.rows, 1};
int cn = I.oclchannels();
bool calcErr;
if (err)
{
......@@ -944,8 +754,8 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
if (isImageSupported)
{
ITex = bindTexture(I, I.depth(), cn);
JTex = bindTexture(J, J.depth(), cn);
ITex = bindTexture(I);
JTex = bindTexture(J);
}
else
{
......
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