Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

Merge pull request #742 from bitwangyaoyao:2.4_fix

Browse Source
pull/792/merge
Andrey Kamaev 12 years ago committed by OpenCV Buildbot
parent 0c64fc61dc 8cc5b98051
commit 9ba25e9d09
9 changed files with 541 additions and 628 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 5
      modules/ocl/include/opencv2/ocl/private/util.hpp
  2. 61
      modules/ocl/src/hog.cpp
  3. 9
      modules/ocl/src/initialization.cpp
  4. 2
      modules/ocl/src/matrix_operations.cpp
  5. 207
      modules/ocl/src/opencl/objdetect_hog.cl
  6. 278
      modules/ocl/src/opencl/pyrlk.cl
  7. 78
      modules/ocl/src/opencl/stereobm.cl
  8. 522
      modules/ocl/src/pyrlk.cpp
  9. 7
      modules/ocl/test/main.cpp

5
modules/ocl/include/opencv2/ocl/private/util.hpp
Unescape View File

@ -127,8 +127,9 @@ namespace cv
// currently only support wavefront size queries
enum DEVICE_INFO
{
WAVEFRONT_SIZE, //in AMD speak
WARP_SIZE = WAVEFRONT_SIZE //in nvidia speak
WAVEFRONT_SIZE, //in AMD speak
WARP_SIZE = WAVEFRONT_SIZE, //in nvidia speak
IS_CPU_DEVICE //check if the device is CPU
};
//info should have been pre-allocated
void CV_EXPORTS queryDeviceInfo(DEVICE_INFO info_type, void* info);

61
modules/ocl/src/hog.cpp
Unescape View File

@ -44,7 +44,6 @@
//M*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::ocl;
using namespace std;
@ -230,7 +229,6 @@ void cv::ocl::HOGDescriptor::computeGradient(const oclMat &img, oclMat &grad, oc
}
}
void cv::ocl::HOGDescriptor::computeBlockHistograms(const oclMat &img)
{
computeGradient(img, grad, qangle);
@ -1571,6 +1569,27 @@ void cv::ocl::device::hog::set_up_constants(int nbins, int block_stride_x, int b
cdescr_size = descr_size;
}
static inline int divUp(int total, int grain)
{
return (total + grain - 1) / grain;
}
static void openCLExecuteKernel_hog(Context *clCxt , const char **source, string kernelName,
size_t globalThreads[3], size_t localThreads[3],
vector< pair<size_t, const void *> > &args)
{
size_t wave_size = 0;
queryDeviceInfo(WAVEFRONT_SIZE, &wave_size);
if (wave_size <= 16)
{
char build_options[64];
sprintf(build_options, (wave_size == 16) ? "-D WAVE_SIZE_16" : "-D WAVE_SIZE_1");
openCLExecuteKernel(clCxt, source, kernelName, globalThreads, localThreads, args, -1, -1, build_options);
}
else
openCLExecuteKernel(clCxt, source, kernelName, globalThreads, localThreads, args, -1, -1);
}
void cv::ocl::device::hog::compute_hists(int nbins, int block_stride_x, int block_stride_y,
int height, int width, const cv::ocl::oclMat &grad,
const cv::ocl::oclMat &qangle, float sigma, cv::ocl::oclMat &block_hists)
@ -1582,8 +1601,10 @@ void cv::ocl::device::hog::compute_hists(int nbins, int block_stride_x, int bloc
int img_block_width = (width - CELLS_PER_BLOCK_X * CELL_WIDTH + block_stride_x) / block_stride_x;
int img_block_height = (height - CELLS_PER_BLOCK_Y * CELL_HEIGHT + block_stride_y) / block_stride_y;
size_t globalThreads[3] = { img_block_width * 32, img_block_height * 2, 1 };
size_t localThreads[3] = { 32, 2, 1 };
int blocks_total = img_block_width * img_block_height;
int blocks_in_group = 4;
size_t localThreads[3] = { blocks_in_group * 24, 2, 1 };
size_t globalThreads[3] = { divUp(blocks_total, blocks_in_group) * localThreads[0], 2, 1 };
int grad_quadstep = grad.step >> 2;
int qangle_step = qangle.step;
@ -1593,14 +1614,15 @@ void cv::ocl::device::hog::compute_hists(int nbins, int block_stride_x, int bloc
int hists_size = (nbins * CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12) * sizeof(float);
int final_hists_size = (nbins * CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y) * sizeof(float);
int smem = hists_size + final_hists_size;
int smem = (hists_size + final_hists_size) * blocks_in_group;
args.push_back( make_pair( sizeof(cl_int), (void *)&width));
args.push_back( make_pair( sizeof(cl_int), (void *)&cblock_stride_x));
args.push_back( make_pair( sizeof(cl_int), (void *)&cblock_stride_y));
args.push_back( make_pair( sizeof(cl_int), (void *)&cnbins));
args.push_back( make_pair( sizeof(cl_int), (void *)&cblock_hist_size));
args.push_back( make_pair( sizeof(cl_int), (void *)&img_block_width));
args.push_back( make_pair( sizeof(cl_int), (void *)&blocks_in_group));
args.push_back( make_pair( sizeof(cl_int), (void *)&blocks_total));
args.push_back( make_pair( sizeof(cl_int), (void *)&grad_quadstep));
args.push_back( make_pair( sizeof(cl_int), (void *)&qangle_step));
args.push_back( make_pair( sizeof(cl_mem), (void *)&grad.data));
@ -1609,7 +1631,7 @@ void cv::ocl::device::hog::compute_hists(int nbins, int block_stride_x, int bloc
args.push_back( make_pair( sizeof(cl_mem), (void *)&block_hists.data));
args.push_back( make_pair( smem, (void *)NULL));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel_hog(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args);
}
void cv::ocl::device::hog::normalize_hists(int nbins, int block_stride_x, int block_stride_y,
@ -1637,7 +1659,7 @@ void cv::ocl::device::hog::normalize_hists(int nbins, int block_stride_x, int bl
args.push_back( make_pair( sizeof(cl_float), (void *)&threshold));
args.push_back( make_pair( nthreads * sizeof(float), (void *)NULL));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel_hog(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args);
}
void cv::ocl::device::hog::classify_hists(int win_height, int win_width, int block_stride_y,
@ -1671,7 +1693,7 @@ void cv::ocl::device::hog::classify_hists(int win_height, int win_width, int blo
args.push_back( make_pair( sizeof(cl_float), (void *)&threshold));
args.push_back( make_pair( sizeof(cl_mem), (void *)&labels.data));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel_hog(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args);
}
void cv::ocl::device::hog::extract_descrs_by_rows(int win_height, int win_width, int block_stride_y, int block_stride_x,
@ -1702,7 +1724,7 @@ void cv::ocl::device::hog::extract_descrs_by_rows(int win_height, int win_width,
args.push_back( make_pair( sizeof(cl_mem), (void *)&block_hists.data));
args.push_back( make_pair( sizeof(cl_mem), (void *)&descriptors.data));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
}
void cv::ocl::device::hog::extract_descrs_by_cols(int win_height, int win_width, int block_stride_y, int block_stride_x,
@ -1734,12 +1756,7 @@ void cv::ocl::device::hog::extract_descrs_by_cols(int win_height, int win_width,
args.push_back( make_pair( sizeof(cl_mem), (void *)&block_hists.data));
args.push_back( make_pair( sizeof(cl_mem), (void *)&descriptors.data));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
}
static inline int divUp(int total, int grain)
{
return (total + grain - 1) / grain;
openCLExecuteKernel(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
}
void cv::ocl::device::hog::compute_gradients_8UC1(int height, int width, const cv::ocl::oclMat &img,
@ -1768,7 +1785,7 @@ void cv::ocl::device::hog::compute_gradients_8UC1(int height, int width, const c
args.push_back( make_pair( sizeof(cl_char), (void *)&correctGamma));
args.push_back( make_pair( sizeof(cl_int), (void *)&cnbins));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
}
void cv::ocl::device::hog::compute_gradients_8UC4(int height, int width, const cv::ocl::oclMat &img,
@ -1798,7 +1815,7 @@ void cv::ocl::device::hog::compute_gradients_8UC4(int height, int width, const c
args.push_back( make_pair( sizeof(cl_char), (void *)&correctGamma));
args.push_back( make_pair( sizeof(cl_int), (void *)&cnbins));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
}
void cv::ocl::device::hog::resize( const oclMat &src, oclMat &dst, const Size sz)
@ -1815,14 +1832,16 @@ void cv::ocl::device::hog::resize( const oclMat &src, oclMat &dst, const Size sz
float ifx = (float)src.cols / sz.width;
float ify = (float)src.rows / sz.height;
int src_step = static_cast<int>(src.step);
int dst_step = static_cast<int>(dst.step);
vector< pair<size_t, const void *> > args;
args.push_back( make_pair(sizeof(cl_mem), (void *)&dst.data));
args.push_back( make_pair(sizeof(cl_mem), (void *)&src.data));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.offset));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.step));
args.push_back( make_pair(sizeof(cl_int), (void *)&dst_step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src_step));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair(sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair(sizeof(cl_int), (void *)&sz.width));
@ -1830,5 +1849,5 @@ void cv::ocl::device::hog::resize( const oclMat &src, oclMat &dst, const Size sz
args.push_back( make_pair(sizeof(cl_float), (void *)&ifx));
args.push_back( make_pair(sizeof(cl_float), (void *)&ify));
openCLExecuteKernel2(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
openCLExecuteKernel(clCxt, &objdetect_hog, kernelName, globalThreads, localThreads, args, -1, -1);
}

9
modules/ocl/src/initialization.cpp
Unescape View File

@ -397,6 +397,15 @@ namespace cv
}
break;
case IS_CPU_DEVICE:
{
cl_device_type devicetype;
openCLSafeCall(clGetDeviceInfo(impl->devices[impl->devnum],
CL_DEVICE_TYPE, sizeof(cl_device_type),
&devicetype, NULL));
*(bool*)info = (devicetype == CVCL_DEVICE_TYPE_CPU);
}
break;
default:
CV_Error(-1, "Invalid device info type");
break;

2
modules/ocl/src/matrix_operations.cpp
Unescape View File

@ -394,7 +394,7 @@ void cv::ocl::oclMat::convertTo( oclMat &dst, int rtype, double alpha, double be
if( rtype < 0 )
rtype = type();
else
rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), channels());
rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), oclchannels());
//int scn = channels();
int sdepth = depth(), ddepth = CV_MAT_DEPTH(rtype);

207
modules/ocl/src/opencl/objdetect_hog.cl
Unescape View File

@ -53,76 +53,96 @@
//----------------------------------------------------------------------------
// Histogram computation
__kernel void compute_hists_kernel(const int width, const int cblock_stride_x, const int cblock_stride_y,
const int cnbins, const int cblock_hist_size, const int img_block_width,
const int grad_quadstep, const int qangle_step,
__global const float* grad, __global const uchar* qangle,
const float scale, __global float* block_hists, __local float* smem)
// 12 threads for a cell, 12x4 threads per block
__kernel void compute_hists_kernel(
const int cblock_stride_x, const int cblock_stride_y,
const int cnbins, const int cblock_hist_size, const int img_block_width,
const int blocks_in_group, const int blocks_total,
const int grad_quadstep, const int qangle_step,
__global const float* grad, __global const uchar* qangle,
const float scale, __global float* block_hists, __local float* smem)
{
const int lidX = get_local_id(0);
const int lx = get_local_id(0);
const int lp = lx / 24; /* local group id */
const int gid = get_group_id(0) * blocks_in_group + lp;/* global group id */
const int gidY = gid / img_block_width;
const int gidX = gid - gidY * img_block_width;
const int lidX = lx - lp * 24;
const int lidY = get_local_id(1);
const int gidX = get_group_id(0);
const int gidY = get_group_id(1);
const int cell_x = lidX / 16;
const int cell_x = lidX / 12;
const int cell_y = lidY;
const int cell_thread_x = lidX & 0xF;
const int cell_thread_x = lidX - cell_x * 12;
__local float* hists = smem;
__local float* final_hist = smem + cnbins * 48;
__local float* hists = smem + lp * cnbins * (CELLS_PER_BLOCK_X *
CELLS_PER_BLOCK_Y * 12 + CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y);
__local float* final_hist = hists + cnbins *
(CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12);
const int offset_x = gidX * cblock_stride_x + (cell_x << 2) + cell_thread_x;
const int offset_y = gidY * cblock_stride_y + (cell_y << 2);
__global const float* grad_ptr = grad + offset_y * grad_quadstep + (offset_x << 1);
__global const uchar* qangle_ptr = qangle + offset_y * qangle_step + (offset_x << 1);
// 12 means that 12 pixels affect on block's cell (in one row)
if (cell_thread_x < 12)
{
__local float* hist = hists + 12 * (cell_y * CELLS_PER_BLOCK_Y + cell_x) + cell_thread_x;
for (int bin_id = 0; bin_id < cnbins; ++bin_id)
hist[bin_id * 48] = 0.f;
__global const float* grad_ptr = (gid < blocks_total) ?
grad + offset_y * grad_quadstep + (offset_x << 1) : grad;
__global const uchar* qangle_ptr = (gid < blocks_total) ?
qangle + offset_y * qangle_step + (offset_x << 1) : qangle;
const int dist_x = -4 + cell_thread_x - 4 * cell_x;
__local float* hist = hists + 12 * (cell_y * CELLS_PER_BLOCK_Y + cell_x) +
cell_thread_x;
for (int bin_id = 0; bin_id < cnbins; ++bin_id)
hist[bin_id * 48] = 0.f;
const int dist_y_begin = -4 - 4 * lidY;
for (int dist_y = dist_y_begin; dist_y < dist_y_begin + 12; ++dist_y)
{
float2 vote = (float2) (grad_ptr[0], grad_ptr[1]);
uchar2 bin = (uchar2) (qangle_ptr[0], qangle_ptr[1]);
const int dist_x = -4 + cell_thread_x - 4 * cell_x;
const int dist_center_x = dist_x - 4 * (1 - 2 * cell_x);
grad_ptr += grad_quadstep;
qangle_ptr += qangle_step;
const int dist_y_begin = -4 - 4 * lidY;
for (int dist_y = dist_y_begin; dist_y < dist_y_begin + 12; ++dist_y)
{
float2 vote = (float2) (grad_ptr[0], grad_ptr[1]);
uchar2 bin = (uchar2) (qangle_ptr[0], qangle_ptr[1]);
int dist_center_y = dist_y - 4 * (1 - 2 * cell_y);
int dist_center_x = dist_x - 4 * (1 - 2 * cell_x);
grad_ptr += grad_quadstep;
qangle_ptr += qangle_step;
float gaussian = exp(-(dist_center_y * dist_center_y + dist_center_x * dist_center_x) * scale);
float interp_weight = (8.f - fabs(dist_y + 0.5f)) * (8.f - fabs(dist_x + 0.5f)) / 64.f;
int dist_center_y = dist_y - 4 * (1 - 2 * cell_y);
hist[bin.x * 48] += gaussian * interp_weight * vote.x;
hist[bin.y * 48] += gaussian * interp_weight * vote.y;
}
float gaussian = exp(-(dist_center_y * dist_center_y + dist_center_x *
dist_center_x) * scale);
float interp_weight = (8.f - fabs(dist_y + 0.5f)) *
(8.f - fabs(dist_x + 0.5f)) / 64.f;
volatile __local float* hist_ = hist;
for (int bin_id = 0; bin_id < cnbins; ++bin_id, hist_ += 48)
{
if (cell_thread_x < 6) hist_[0] += hist_[6];
if (cell_thread_x < 3) hist_[0] += hist_[3];
if (cell_thread_x == 0)
final_hist[(cell_x * 2 + cell_y) * cnbins + bin_id] = hist_[0] + hist_[1] + hist_[2];
}
hist[bin.x * 48] += gaussian * interp_weight * vote.x;
hist[bin.y * 48] += gaussian * interp_weight * vote.y;
}
barrier(CLK_LOCAL_MEM_FENCE);
__global float* block_hist = block_hists + (gidY * img_block_width + gidX) * cblock_hist_size;
volatile __local float* hist_ = hist;
for (int bin_id = 0; bin_id < cnbins; ++bin_id, hist_ += 48)
{
if (cell_thread_x < 6)
hist_[0] += hist_[6];
barrier(CLK_LOCAL_MEM_FENCE);
if (cell_thread_x < 3)
hist_[0] += hist_[3];
#ifdef WAVE_SIZE_1
barrier(CLK_LOCAL_MEM_FENCE);
#endif
if (cell_thread_x == 0)
final_hist[(cell_x * 2 + cell_y) * cnbins + bin_id] =
hist_[0] + hist_[1] + hist_[2];
}
#ifdef WAVE_SIZE_1
barrier(CLK_LOCAL_MEM_FENCE);
#endif
int tid = (cell_y * CELLS_PER_BLOCK_Y + cell_x) * 16 + cell_thread_x;
if (tid < cblock_hist_size)
int tid = (cell_y * CELLS_PER_BLOCK_Y + cell_x) * 12 + cell_thread_x;
if ((tid < cblock_hist_size) && (gid < blocks_total))
{
__global float* block_hist = block_hists +
(gidY * img_block_width + gidX) * cblock_hist_size;
block_hist[tid] = final_hist[tid];
}
}
//-------------------------------------------------------------
@ -133,21 +153,59 @@ float reduce_smem(volatile __local float* smem, int size)
unsigned int tid = get_local_id(0);
float sum = smem[tid];
if (size >= 512) { if (tid < 256) smem[tid] = sum = sum + smem[tid + 256]; barrier(CLK_LOCAL_MEM_FENCE); }
if (size >= 256) { if (tid < 128) smem[tid] = sum = sum + smem[tid + 128]; barrier(CLK_LOCAL_MEM_FENCE); }
if (size >= 128) { if (tid < 64) smem[tid] = sum = sum + smem[tid + 64]; barrier(CLK_LOCAL_MEM_FENCE); }
if (size >= 512)
{
if (tid < 256) smem[tid] = sum = sum + smem[tid + 256];
barrier(CLK_LOCAL_MEM_FENCE);
}
if (size >= 256)
{
if (tid < 128) smem[tid] = sum = sum + smem[tid + 128];
barrier(CLK_LOCAL_MEM_FENCE);
}
if (size >= 128)
{
if (tid < 64) smem[tid] = sum = sum + smem[tid + 64];
barrier(CLK_LOCAL_MEM_FENCE);
}
if (tid < 32)
{
if (size >= 64) smem[tid] = sum = sum + smem[tid + 32];
#if defined(WAVE_SIZE_16) || defined(WAVE_SIZE_1)
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
#endif
if (size >= 32) smem[tid] = sum = sum + smem[tid + 16];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
#endif
if (size >= 16) smem[tid] = sum = sum + smem[tid + 8];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
#endif
if (size >= 8) smem[tid] = sum = sum + smem[tid + 4];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 2)
{
#endif
if (size >= 4) smem[tid] = sum = sum + smem[tid + 2];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 1)
{
#endif
if (size >= 2) smem[tid] = sum = sum + smem[tid + 1];
}
@ -224,19 +282,44 @@ __kernel void classify_hists_kernel(const int cblock_hist_size, const int cdescr
if (tid < 64) products[tid] = product = product + products[tid + 64];
barrier(CLK_LOCAL_MEM_FENCE);
volatile __local float* smem = products;
if (tid < 32)
{
volatile __local float* smem = products;
smem[tid] = product = product + smem[tid + 32];
#if defined(WAVE_SIZE_16) || defined(WAVE_SIZE_1)
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
volatile __local float* smem = products;
#endif
smem[tid] = product = product + smem[tid + 16];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
#endif
smem[tid] = product = product + smem[tid + 8];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
#endif
smem[tid] = product = product + smem[tid + 4];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 2)
{
#endif
smem[tid] = product = product + smem[tid + 2];
#ifdef WAVE_SIZE_1
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 1)
{
#endif
smem[tid] = product = product + smem[tid + 1];
}
@ -248,8 +331,8 @@ __kernel void classify_hists_kernel(const int cblock_hist_size, const int cdescr
// Extract descriptors
__kernel void extract_descrs_by_rows_kernel(const int cblock_hist_size, const int descriptors_quadstep, const int cdescr_size, const int cdescr_width,
const int img_block_width, const int win_block_stride_x, const int win_block_stride_y,
__global const float* block_hists, __global float* descriptors)
const int img_block_width, const int win_block_stride_x, const int win_block_stride_y,
__global const float* block_hists, __global float* descriptors)
{
int tid = get_local_id(0);
int gidX = get_group_id(0);
@ -271,8 +354,8 @@ __kernel void extract_descrs_by_rows_kernel(const int cblock_hist_size, const in
}
__kernel void extract_descrs_by_cols_kernel(const int cblock_hist_size, const int descriptors_quadstep, const int cdescr_size,
const int cnblocks_win_x, const int cnblocks_win_y, const int img_block_width, const int win_block_stride_x,
const int win_block_stride_y, __global const float* block_hists, __global float* descriptors)
const int cnblocks_win_x, const int cnblocks_win_y, const int img_block_width, const int win_block_stride_x,
const int win_block_stride_y, __global const float* block_hists, __global float* descriptors)
{
int tid = get_local_id(0);
int gidX = get_group_id(0);
@ -301,8 +384,8 @@ __kernel void extract_descrs_by_cols_kernel(const int cblock_hist_size, const in
// Gradients computation
__kernel void compute_gradients_8UC4_kernel(const int height, const int width, const int img_step, const int grad_quadstep, const int qangle_step,
const __global uchar4 * img, __global float * grad, __global uchar * qangle,
const float angle_scale, const char correct_gamma, const int cnbins)
const __global uchar4 * img, __global float * grad, __global uchar * qangle,
const float angle_scale, const char correct_gamma, const int cnbins)
{
const int x = get_global_id(0);
const int tid = get_local_id(0);
@ -400,8 +483,8 @@ __kernel void compute_gradients_8UC4_kernel(const int height, const int width, c
}
__kernel void compute_gradients_8UC1_kernel(const int height, const int width, const int img_step, const int grad_quadstep, const int qangle_step,
__global const uchar * img, __global float * grad, __global uchar * qangle,
const float angle_scale, const char correct_gamma, const int cnbins)
__global const uchar * img, __global float * grad, __global uchar * qangle,
const float angle_scale, const char correct_gamma, const int cnbins)
{
const int x = get_global_id(0);
const int tid = get_local_id(0);

278
modules/ocl/src/opencl/pyrlk.cl
Unescape View File

@ -184,6 +184,209 @@ float linearFilter_float(__global const float* src, int srcStep, int cn, float2
}
#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;
@ -325,6 +528,7 @@ void reduce1(float val1, __local float* smem1, int tid)
vmem1[tid] = val1 += vmem1[tid + 1];
}
}
#endif
#define SCALE (1.0f / (1 << 20))
#define THRESHOLD 0.01f
@ -411,14 +615,20 @@ void GetError4(image2d_t J, const float x, const float y, const float4* Pch, flo
*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);
@ -431,7 +641,7 @@ __kernel void lkSparse_C1_D5(image2d_t I, image2d_t J,
const int tid = mad24(yid, xsize, xid);
float2 prevPt = prevPts[gid] / (1 << level);
float2 prevPt = prevPts[gid] / (float2)(1 << level);
if (prevPt.x < 0 || prevPt.x >= cols || prevPt.y < 0 || prevPt.y >= rows)
{
@ -450,9 +660,9 @@ __kernel void lkSparse_C1_D5(image2d_t I, image2d_t J,
float A12 = 0;
float A22 = 0;
float I_patch[3][3];
float dIdx_patch[3][3];
float dIdy_patch[3][3];
float I_patch[GRIDSIZE][GRIDSIZE];
float dIdx_patch[GRIDSIZE][GRIDSIZE];
float dIdy_patch[GRIDSIZE][GRIDSIZE];
yBase=yid;
{
@ -512,12 +722,19 @@ __kernel void lkSparse_C1_D5(image2d_t I, image2d_t J,
&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;
@ -609,8 +826,13 @@ __kernel void lkSparse_C1_D5(image2d_t I, image2d_t J,
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;
@ -685,18 +907,28 @@ __kernel void lkSparse_C1_D5(image2d_t I, image2d_t J,
nextPts[gid] = prevPt;
if (calcErr)
err[gid] = smem1[0] / (c_winSize_x * c_winSize_y);
#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)
{
__local float smem1[BUFFER];
__local float smem2[BUFFER];
__local float smem3[BUFFER];
#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);
@ -709,7 +941,7 @@ __kernel void lkSparse_C4_D5(image2d_t I, image2d_t J,
const int tid = mad24(yid, xsize, xid);
float2 nextPt = prevPts[gid]/(1<<level);
float2 nextPt = prevPts[gid]/(float2)(1<<level);
if (nextPt.x < 0 || nextPt.x >= cols || nextPt.y < 0 || nextPt.y >= rows)
{
@ -725,9 +957,9 @@ __kernel void lkSparse_C4_D5(image2d_t I, image2d_t J,
// extract the patch from the first image, compute covariation matrix of derivatives
float A11 = 0;
float A12 = 0;
float A22 = 0;
float A11 = 0.0f;
float A12 = 0.0f;
float A22 = 0.0f;
float4 I_patch[8];
float4 dIdx_patch[8];
@ -797,9 +1029,15 @@ __kernel void lkSparse_C4_D5(image2d_t I, image2d_t J,
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;
@ -888,12 +1126,16 @@ __kernel void lkSparse_C4_D5(image2d_t I, image2d_t J,
&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;
@ -967,7 +1209,11 @@ __kernel void lkSparse_C4_D5(image2d_t I, image2d_t J,
nextPts[gid] = nextPt;
if (calcErr)
err[gid] = smem1[0] / (3 * c_winSize_x * c_winSize_y);
#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
}
}

78
modules/ocl/src/opencl/stereobm.cl
Unescape View File

@ -226,9 +226,9 @@ __kernel void stereoKernel(__global unsigned char *left, __global unsigned char
volatile __local unsigned int *col_ssd_extra = get_local_id(0) < (2 * radius) ? col_ssd + BLOCK_W : 0;
int X = get_group_id(0) * BLOCK_W + get_local_id(0) + maxdisp + radius;
// int Y = get_group_id(1) * ROWSperTHREAD + radius;
// int Y = get_group_id(1) * ROWSperTHREAD + radius;
#define Y (get_group_id(1) * ROWSperTHREAD + radius)
#define Y (get_group_id(1) * ROWSperTHREAD + radius)
volatile __global unsigned int* minSSDImage = cminSSDImage + X + Y * cminSSD_step;
__global unsigned char* disparImage = disp + X + Y * disp_step;
@ -251,9 +251,9 @@ __kernel void stereoKernel(__global unsigned char *left, __global unsigned char
barrier(CLK_LOCAL_MEM_FENCE); //before MinSSD function
uint2 minSSD = MinSSD(col_ssd_cache + get_local_id(0), col_ssd, radius);
if (X < cwidth - radius && Y < cheight - radius)
{
uint2 minSSD = MinSSD(col_ssd_cache + get_local_id(0), col_ssd, radius);
if (minSSD.x < minSSDImage[0])
{
disparImage[0] = (unsigned char)(d + minSSD.y);
@ -264,7 +264,7 @@ __kernel void stereoKernel(__global unsigned char *left, __global unsigned char
for(int row = 1; row < end_row; row++)
{
int idx1 = y_tex * img_step + x_tex;
int idx2 = (y_tex + (2 * radius + 1)) * img_step + x_tex;
int idx2 = min(y_tex + (2 * radius + 1), cheight - 1) * img_step + x_tex;
barrier(CLK_GLOBAL_MEM_FENCE);
barrier(CLK_LOCAL_MEM_FENCE);
@ -278,10 +278,10 @@ __kernel void stereoKernel(__global unsigned char *left, __global unsigned char
barrier(CLK_LOCAL_MEM_FENCE);
uint2 minSSD = MinSSD(col_ssd_cache + get_local_id(0), col_ssd, radius);
if (X < cwidth - radius && row < cheight - radius - Y)
{
int idx = row * cminSSD_step;
uint2 minSSD = MinSSD(col_ssd_cache + get_local_id(0), col_ssd, radius);
if (minSSD.x < minSSDImage[idx])
{
disparImage[disp_step * row] = (unsigned char)(d + minSSD.y);
@ -378,50 +378,50 @@ __kernel void textureness_kernel(__global unsigned char *disp, int disp_rows, in
int beg_row = group_id_y * RpT;
int end_row = min(beg_row + RpT, disp_rows);
// if (x < disp_cols)
// {
int y = beg_row;
// if (x < disp_cols)
// {
int y = beg_row;
float sum = 0;
float sum_extra = 0;
float sum = 0;
float sum_extra = 0;
for(int i = y - winsz2; i <= y + winsz2; ++i)
{
sum += sobel(input, x - winsz2, i, input_rows, input_cols);
if (cols_extra)
sum_extra += sobel(input, x + group_size_x - winsz2, i, input_rows, input_cols);
}
for(int i = y - winsz2; i <= y + winsz2; ++i)
{
sum += sobel(input, x - winsz2, i, input_rows, input_cols);
if (cols_extra)
sum_extra += sobel(input, x + group_size_x - winsz2, i, input_rows, input_cols);
}
*cols = sum;
if (cols_extra)
*cols_extra = sum_extra;
barrier(CLK_LOCAL_MEM_FENCE);
float sum_win = CalcSums(cols, cols_cache + local_id_x, winsz) * 255;
if (sum_win < threshold)
disp[y * disp_step + x] = 0;
barrier(CLK_LOCAL_MEM_FENCE);
for(int y = beg_row + 1; y < end_row; ++y)
{
sum = sum - sobel(input, x - winsz2, y - winsz2 - 1, input_rows, input_cols) +
sobel(input, x - winsz2, y + winsz2, input_rows, input_cols);
*cols = sum;
if (cols_extra)
{
sum_extra = sum_extra - sobel(input, x + group_size_x - winsz2, y - winsz2 - 1,input_rows, input_cols)
+ sobel(input, x + group_size_x - winsz2, y + winsz2, input_rows, input_cols);
*cols_extra = sum_extra;
}
barrier(CLK_LOCAL_MEM_FENCE);
float sum_win = CalcSums(cols, cols_cache + local_id_x, winsz) * 255;
if (sum_win < threshold)
disp[y * disp_step + x] = 0;
barrier(CLK_LOCAL_MEM_FENCE);
for(int y = beg_row + 1; y < end_row; ++y)
{
sum = sum - sobel(input, x - winsz2, y - winsz2 - 1, input_rows, input_cols) +
sobel(input, x - winsz2, y + winsz2, input_rows, input_cols);
*cols = sum;
if (cols_extra)
{
sum_extra = sum_extra - sobel(input, x + group_size_x - winsz2, y - winsz2 - 1,input_rows, input_cols)
+ sobel(input, x + group_size_x - winsz2, y + winsz2, input_rows, input_cols);
*cols_extra = sum_extra;
}
barrier(CLK_LOCAL_MEM_FENCE);
float sum_win = CalcSums(cols, cols_cache + local_id_x, winsz) * 255;
if (sum_win < threshold)
disp[y * disp_step + x] = 0;
barrier(CLK_LOCAL_MEM_FENCE);
}
// }
}
// }
}

522
modules/ocl/src/pyrlk.cpp
Unescape View File

@ -16,7 +16,7 @@
//
// @Authors
// Dachuan Zhao, dachuan@multicorewareinc.com
// Yao Wang, yao@multicorewareinc.com
// Yao Wang, bitwangyaoyao@gmail.com
// Nathan, liujun@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
@ -47,6 +47,7 @@
#include "precomp.hpp"
using namespace std;
using namespace cv;
using namespace cv::ocl;
@ -58,11 +59,7 @@ namespace ocl
///////////////////////////OpenCL kernel strings///////////////////////////
extern const char *pyrlk;
extern const char *pyrlk_no_image;
extern const char *operator_setTo;
extern const char *operator_convertTo;
extern const char *operator_copyToM;
extern const char *arithm_mul;
extern const char *pyr_down;
}
}
@ -105,364 +102,7 @@ void calcPatchSize(cv::Size winSize, int cn, dim3 &block, dim3 &patch, bool isDe
}
}
inline int divUp(int total, int grain)
{
return (total + grain - 1) / grain;
}
///////////////////////////////////////////////////////////////////////////
//////////////////////////////// ConvertTo ////////////////////////////////
///////////////////////////////////////////////////////////////////////////
static void convert_run_cus(const oclMat &src, oclMat &dst, double alpha, double beta)
{
string kernelName = "convert_to_S";
stringstream idxStr;
idxStr << src.depth();
kernelName += idxStr.str();
float alpha_f = (float)alpha, beta_f = (float)beta;
CV_DbgAssert(src.rows == dst.rows && src.cols == dst.cols);
vector<pair<size_t , const void *> > args;
size_t localThreads[3] = {16, 16, 1};
size_t globalThreads[3];
globalThreads[0] = (dst.cols + localThreads[0] - 1) / localThreads[0] * localThreads[0];
globalThreads[1] = (dst.rows + localThreads[1] - 1) / localThreads[1] * localThreads[1];
globalThreads[2] = 1;
int dststep_in_pixel = dst.step / dst.elemSize(), dstoffset_in_pixel = dst.offset / dst.elemSize();
int srcstep_in_pixel = src.step / src.elemSize(), srcoffset_in_pixel = src.offset / src.elemSize();
if(dst.type() == CV_8UC1)
{
globalThreads[0] = ((dst.cols + 4) / 4 + localThreads[0]) / localThreads[0] * localThreads[0];
}
args.push_back( make_pair( sizeof(cl_mem) , (void *)&src.data ));
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&src.rows ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&srcstep_in_pixel ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&srcoffset_in_pixel ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dststep_in_pixel ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dstoffset_in_pixel ));
args.push_back( make_pair( sizeof(cl_float) , (void *)&alpha_f ));
args.push_back( make_pair( sizeof(cl_float) , (void *)&beta_f ));
openCLExecuteKernel2(dst.clCxt , &operator_convertTo, kernelName, globalThreads,
localThreads, args, dst.oclchannels(), dst.depth(), CLFLUSH);
}
void convertTo( const oclMat &src, oclMat &m, int rtype, double alpha = 1, double beta = 0 );
void convertTo( const oclMat &src, oclMat &dst, int rtype, double alpha, double beta )
{
//cout << "cv::ocl::oclMat::convertTo()" << endl;
bool noScale = fabs(alpha - 1) < std::numeric_limits<double>::epsilon()
&& fabs(beta) < std::numeric_limits<double>::epsilon();
if( rtype < 0 )
rtype = src.type();
else
rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), src.oclchannels());
int sdepth = src.depth(), ddepth = CV_MAT_DEPTH(rtype);
if( sdepth == ddepth && noScale )
{
src.copyTo(dst);
return;
}
oclMat temp;
const oclMat *psrc = &src;
if( sdepth != ddepth && psrc == &dst )
psrc = &(temp = src);
dst.create( src.size(), rtype );
convert_run_cus(*psrc, dst, alpha, beta);
}
///////////////////////////////////////////////////////////////////////////
//////////////////////////////// setTo ////////////////////////////////////
///////////////////////////////////////////////////////////////////////////
//oclMat &operator = (const Scalar &s)
//{
// //cout << "cv::ocl::oclMat::=" << endl;
// setTo(s);
// return *this;
//}
static void set_to_withoutmask_run_cus(const oclMat &dst, const Scalar &scalar, string kernelName)
{
vector<pair<size_t , const void *> > args;
size_t localThreads[3] = {16, 16, 1};
size_t globalThreads[3];
globalThreads[0] = (dst.cols + localThreads[0] - 1) / localThreads[0] * localThreads[0];
globalThreads[1] = (dst.rows + localThreads[1] - 1) / localThreads[1] * localThreads[1];
globalThreads[2] = 1;
int step_in_pixel = dst.step / dst.elemSize(), offset_in_pixel = dst.offset / dst.elemSize();
if(dst.type() == CV_8UC1)
{
globalThreads[0] = ((dst.cols + 4) / 4 + localThreads[0] - 1) / localThreads[0] * localThreads[0];
}
char compile_option[32];
union sc
{
cl_uchar4 uval;
cl_char4 cval;
cl_ushort4 usval;
cl_short4 shval;
cl_int4 ival;
cl_float4 fval;
cl_double4 dval;
} val;
switch(dst.depth())
{
case 0:
val.uval.s[0] = saturate_cast<uchar>(scalar.val[0]);
val.uval.s[1] = saturate_cast<uchar>(scalar.val[1]);
val.uval.s[2] = saturate_cast<uchar>(scalar.val[2]);
val.uval.s[3] = saturate_cast<uchar>(scalar.val[3]);
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=uchar");
args.push_back( make_pair( sizeof(cl_uchar) , (void *)&val.uval.s[0] ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=uchar4");
args.push_back( make_pair( sizeof(cl_uchar4) , (void *)&val.uval ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
case 1:
val.cval.s[0] = saturate_cast<char>(scalar.val[0]);
val.cval.s[1] = saturate_cast<char>(scalar.val[1]);
val.cval.s[2] = saturate_cast<char>(scalar.val[2]);
val.cval.s[3] = saturate_cast<char>(scalar.val[3]);
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=char");
args.push_back( make_pair( sizeof(cl_char) , (void *)&val.cval.s[0] ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=char4");
args.push_back( make_pair( sizeof(cl_char4) , (void *)&val.cval ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
case 2:
val.usval.s[0] = saturate_cast<ushort>(scalar.val[0]);
val.usval.s[1] = saturate_cast<ushort>(scalar.val[1]);
val.usval.s[2] = saturate_cast<ushort>(scalar.val[2]);
val.usval.s[3] = saturate_cast<ushort>(scalar.val[3]);
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=ushort");
args.push_back( make_pair( sizeof(cl_ushort) , (void *)&val.usval.s[0] ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=ushort4");
args.push_back( make_pair( sizeof(cl_ushort4) , (void *)&val.usval ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
case 3:
val.shval.s[0] = saturate_cast<short>(scalar.val[0]);
val.shval.s[1] = saturate_cast<short>(scalar.val[1]);
val.shval.s[2] = saturate_cast<short>(scalar.val[2]);
val.shval.s[3] = saturate_cast<short>(scalar.val[3]);
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=short");
args.push_back( make_pair( sizeof(cl_short) , (void *)&val.shval.s[0] ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=short4");
args.push_back( make_pair( sizeof(cl_short4) , (void *)&val.shval ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
case 4:
val.ival.s[0] = saturate_cast<int>(scalar.val[0]);
val.ival.s[1] = saturate_cast<int>(scalar.val[1]);
val.ival.s[2] = saturate_cast<int>(scalar.val[2]);
val.ival.s[3] = saturate_cast<int>(scalar.val[3]);
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=int");
args.push_back( make_pair( sizeof(cl_int) , (void *)&val.ival.s[0] ));
break;
case 2:
sprintf(compile_option, "-D GENTYPE=int2");
cl_int2 i2val;
i2val.s[0] = val.ival.s[0];
i2val.s[1] = val.ival.s[1];
args.push_back( make_pair( sizeof(cl_int2) , (void *)&i2val ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=int4");
args.push_back( make_pair( sizeof(cl_int4) , (void *)&val.ival ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
case 5:
val.fval.s[0] = (float)scalar.val[0];
val.fval.s[1] = (float)scalar.val[1];
val.fval.s[2] = (float)scalar.val[2];
val.fval.s[3] = (float)scalar.val[3];
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=float");
args.push_back( make_pair( sizeof(cl_float) , (void *)&val.fval.s[0] ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=float4");
args.push_back( make_pair( sizeof(cl_float4) , (void *)&val.fval ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
case 6:
val.dval.s[0] = scalar.val[0];
val.dval.s[1] = scalar.val[1];
val.dval.s[2] = scalar.val[2];
val.dval.s[3] = scalar.val[3];
switch(dst.oclchannels())
{
case 1:
sprintf(compile_option, "-D GENTYPE=double");
args.push_back( make_pair( sizeof(cl_double) , (void *)&val.dval.s[0] ));
break;
case 4:
sprintf(compile_option, "-D GENTYPE=double4");
args.push_back( make_pair( sizeof(cl_double4) , (void *)&val.dval ));
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unsupported channels");
}
break;
default:
CV_Error(CV_StsUnsupportedFormat, "unknown depth");
}
#ifdef CL_VERSION_1_2
if(dst.offset == 0 && dst.cols == dst.wholecols)
{
clEnqueueFillBuffer((cl_command_queue)dst.clCxt->oclCommandQueue(), (cl_mem)dst.data, args[0].second, args[0].first, 0, dst.step * dst.rows, 0, NULL, NULL);
}
else
{
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst.rows ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&step_in_pixel ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&offset_in_pixel));
openCLExecuteKernel2(dst.clCxt , &operator_setTo, kernelName, globalThreads,
localThreads, args, -1, -1, compile_option, CLFLUSH);
}
#else
args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst.data ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst.cols ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&dst.rows ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&step_in_pixel ));
args.push_back( make_pair( sizeof(cl_int) , (void *)&offset_in_pixel));
openCLExecuteKernel2(dst.clCxt , &operator_setTo, kernelName, globalThreads,
localThreads, args, -1, -1, compile_option, CLFLUSH);
#endif
}
static oclMat &setTo(oclMat &src, const Scalar &scalar)
{
CV_Assert( src.depth() >= 0 && src.depth() <= 6 );
CV_DbgAssert( !src.empty());
if(src.type() == CV_8UC1)
{
set_to_withoutmask_run_cus(src, scalar, "set_to_without_mask_C1_D0");
}
else
{
set_to_withoutmask_run_cus(src, scalar, "set_to_without_mask");
}
return src;
}
///////////////////////////////////////////////////////////////////////////
////////////////////////////////// CopyTo /////////////////////////////////
///////////////////////////////////////////////////////////////////////////
// static void copy_to_with_mask_cus(const oclMat &src, oclMat &dst, const oclMat &mask, string kernelName)
// {
// CV_DbgAssert( dst.rows == mask.rows && dst.cols == mask.cols &&
// src.rows == dst.rows && src.cols == dst.cols
// && mask.type() == CV_8UC1);
// vector<pair<size_t , const void *> > args;
// std::string string_types[4][7] = {{"uchar", "char", "ushort", "short", "int", "float", "double"},
// {"uchar2", "char2", "ushort2", "short2", "int2", "float2", "double2"},
// {"uchar3", "char3", "ushort3", "short3", "int3", "float3", "double3"},
// {"uchar4", "char4", "ushort4", "short4", "int4", "float4", "double4"}
// };
// char compile_option[32];
// sprintf(compile_option, "-D GENTYPE=%s", string_types[dst.oclchannels() - 1][dst.depth()].c_str());
// size_t localThreads[3] = {16, 16, 1};
// size_t globalThreads[3];
// globalThreads[0] = divUp(dst.cols, localThreads[0]) * localThreads[0];
// globalThreads[1] = divUp(dst.rows, localThreads[1]) * localThreads[1];
// globalThreads[2] = 1;
// int dststep_in_pixel = dst.step / dst.elemSize(), dstoffset_in_pixel = dst.offset / dst.elemSize();
// int srcstep_in_pixel = src.step / src.elemSize(), srcoffset_in_pixel = src.offset / src.elemSize();
// args.push_back( make_pair( sizeof(cl_mem) , (void *)&src.data ));
// args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst.data ));
// args.push_back( make_pair( sizeof(cl_mem) , (void *)&mask.data ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&src.cols ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&src.rows ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&srcstep_in_pixel ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&srcoffset_in_pixel ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&dststep_in_pixel ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&dstoffset_in_pixel ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&mask.step ));
// args.push_back( make_pair( sizeof(cl_int) , (void *)&mask.offset ));
// openCLExecuteKernel2(dst.clCxt , &operator_copyToM, kernelName, globalThreads,
// localThreads, args, -1, -1, compile_option, CLFLUSH);
// }
static void copyTo(const oclMat &src, oclMat &m )
{
CV_DbgAssert(!src.empty());
m.create(src.size(), src.type());
openCLCopyBuffer2D(src.clCxt, m.data, m.step, m.offset,
src.data, src.step, src.cols * src.elemSize(), src.rows, src.offset);
}
// static void copyTo(const oclMat &src, oclMat &mat, const oclMat &mask)
// {
// if (mask.empty())
// {
// copyTo(src, mat);
// }
// else
// {
// mat.create(src.size(), src.type());
// copy_to_with_mask_cus(src, mat, mask, "copy_to_with_mask");
// }
// }
static void arithmetic_run(const oclMat &src1, oclMat &dst, string kernelName, const char **kernelString, void *_scalar)
static void multiply_cus(const oclMat &src1, oclMat &dst, float scalar)
{
if(!src1.clCxt->supportsFeature(Context::CL_DOUBLE) && src1.type() == CV_64F)
{
@ -470,9 +110,6 @@ static void arithmetic_run(const oclMat &src1, oclMat &dst, string kernelName, c
return;
}
//dst.create(src1.size(), src1.type());
//CV_Assert(src1.cols == src2.cols && src2.cols == dst.cols &&
// src1.rows == src2.rows && src2.rows == dst.rows);
CV_Assert(src1.cols == dst.cols &&
src1.rows == dst.rows);
@ -480,24 +117,8 @@ static void arithmetic_run(const oclMat &src1, oclMat &dst, string kernelName, c
CV_Assert(src1.depth() != CV_8S);
Context *clCxt = src1.clCxt;
//int channels = dst.channels();
//int depth = dst.depth();
//int vector_lengths[4][7] = {{4, 0, 4, 4, 1, 1, 1},
// {4, 0, 4, 4, 1, 1, 1},
// {4, 0, 4, 4, 1, 1, 1},
// {4, 0, 4, 4, 1, 1, 1}
//};
//size_t vector_length = vector_lengths[channels-1][depth];
//int offset_cols = (dst.offset / dst.elemSize1()) & (vector_length - 1);
//int cols = divUp(dst.cols * channels + offset_cols, vector_length);
size_t localThreads[3] = { 16, 16, 1 };
//size_t globalThreads[3] = { divUp(cols, localThreads[0]) * localThreads[0],
// divUp(dst.rows, localThreads[1]) * localThreads[1],
// 1
// };
size_t globalThreads[3] = { src1.cols,
src1.rows,
1
@ -508,67 +129,20 @@ static void arithmetic_run(const oclMat &src1, oclMat &dst, string kernelName, c
args.push_back( make_pair( sizeof(cl_mem), (void *)&src1.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src1.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src1.offset ));
//args.push_back( make_pair( sizeof(cl_mem), (void *)&src2.data ));
//args.push_back( make_pair( sizeof(cl_int), (void *)&src2.step ));
//args.push_back( make_pair( sizeof(cl_int), (void *)&src2.offset ));
args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.offset ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src1.rows ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src1.cols ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst_step1 ));
args.push_back( make_pair( sizeof(float), (float *)&scalar ));
//if(_scalar != NULL)
//{
float scalar1 = *((float *)_scalar);
args.push_back( make_pair( sizeof(float), (float *)&scalar1 ));
//}
openCLExecuteKernel2(clCxt, kernelString, kernelName, globalThreads, localThreads, args, -1, src1.depth(), CLFLUSH);
}
static void multiply_cus(const oclMat &src1, oclMat &dst, float scalar)
{
arithmetic_run(src1, dst, "arithm_muls", &arithm_mul, (void *)(&scalar));
}
static void pyrdown_run_cus(const oclMat &src, const oclMat &dst)
{
CV_Assert(src.type() == dst.type());
CV_Assert(src.depth() != CV_8S);
Context *clCxt = src.clCxt;
string kernelName = "pyrDown";
size_t localThreads[3] = { 256, 1, 1 };
size_t globalThreads[3] = { src.cols, dst.rows, 1};
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&src.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.rows));
args.push_back( make_pair( sizeof(cl_int), (void *)&src.cols));
args.push_back( make_pair( sizeof(cl_mem), (void *)&dst.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.cols));
openCLExecuteKernel2(clCxt, &pyr_down, kernelName, globalThreads, localThreads, args, src.oclchannels(), src.depth(), CLFLUSH);
}
static void pyrDown_cus(const oclMat &src, oclMat &dst)
{
CV_Assert(src.depth() <= CV_32F && src.channels() <= 4);
dst.create((src.rows + 1) / 2, (src.cols + 1) / 2, src.type());
pyrdown_run_cus(src, dst);
openCLExecuteKernel(clCxt, &arithm_mul, "arithm_muls", globalThreads, localThreads, args, -1, src1.depth());
}
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)
const oclMat &prevPts, oclMat &nextPts, oclMat &status, oclMat& err, bool /*GET_MIN_EIGENVALS*/, int ptcount,
int level, dim3 patch, Size winSize, int iters)
{
Context *clCxt = I.clCxt;
int elemCntPerRow = I.step / I.elemSize();
@ -603,7 +177,7 @@ 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)
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 ));
@ -613,15 +187,26 @@ static void lkSparse_run(oclMat &I, oclMat &J,
args.push_back( make_pair( sizeof(cl_int), (void *)&iters ));
args.push_back( make_pair( sizeof(cl_char), (void *)&calcErr ));
if(isImageSupported)
bool is_cpu;
queryDeviceInfo(IS_CPU_DEVICE, &is_cpu);
if (is_cpu)
{
openCLExecuteKernel2(clCxt, &pyrlk, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
openCLExecuteKernel(clCxt, &pyrlk, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), (char*)" -D CPU");
releaseTexture(ITex);
releaseTexture(JTex);
}
else
{
openCLExecuteKernel2(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
if(isImageSupported)
{
openCLExecuteKernel(clCxt, &pyrlk, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth());
releaseTexture(ITex);
releaseTexture(JTex);
}
else
{
openCLExecuteKernel(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth());
}
}
}
@ -631,7 +216,7 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
{
nextPts.release();
status.release();
//if (err) err->release();
if (err) err->release();
return;
}
@ -657,13 +242,11 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
oclMat temp1 = (useInitialFlow ? nextPts : prevPts).reshape(1);
oclMat temp2 = nextPts.reshape(1);
//oclMat scalar(temp1.rows, temp1.cols, temp1.type(), Scalar(1.0f / (1 << maxLevel) / 2.0f));
multiply_cus(temp1, temp2, 1.0f / (1 << maxLevel) / 2.0f);
//::multiply(temp1, 1.0f / (1 << maxLevel) / 2.0f, temp2);
ensureSizeIsEnough(1, prevPts.cols, CV_8UC1, status);
//status.setTo(Scalar::all(1));
setTo(status, Scalar::all(1));
status.setTo(Scalar::all(1));
bool errMat = false;
if (!err)
@ -673,7 +256,6 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
}
else
ensureSizeIsEnough(1, prevPts.cols, CV_32FC1, *err);
//ensureSizeIsEnough(1, prevPts.cols, CV_32FC1, err);
// build the image pyramids.
@ -682,25 +264,14 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
if (cn == 1 || cn == 4)
{
//prevImg.convertTo(prevPyr_[0], CV_32F);
//nextImg.convertTo(nextPyr_[0], CV_32F);
convertTo(prevImg, prevPyr_[0], CV_32F);
convertTo(nextImg, nextPyr_[0], CV_32F);
}
else
{
//oclMat buf_;
// cvtColor(prevImg, buf_, COLOR_BGR2BGRA);
// buf_.convertTo(prevPyr_[0], CV_32F);
// cvtColor(nextImg, buf_, COLOR_BGR2BGRA);
// buf_.convertTo(nextPyr_[0], CV_32F);
prevImg.convertTo(prevPyr_[0], CV_32F);
nextImg.convertTo(nextPyr_[0], CV_32F);
}
for (int level = 1; level <= maxLevel; ++level)
{
pyrDown_cus(prevPyr_[level - 1], prevPyr_[level]);
pyrDown_cus(nextPyr_[level - 1], nextPyr_[level]);
pyrDown(prevPyr_[level - 1], prevPyr_[level]);
pyrDown(nextPyr_[level - 1], nextPyr_[level]);
}
// dI/dx ~ Ix, dI/dy ~ Iy
@ -709,17 +280,15 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
{
lkSparse_run(prevPyr_[level], nextPyr_[level],
prevPts, nextPts, status, *err, getMinEigenVals, prevPts.cols,
level, /*block, */patch, winSize, iters);
level, patch, winSize, iters);
}
clFinish((cl_command_queue)prevImg.clCxt->oclCommandQueue());
if(errMat)
delete err;
}
static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
oclMat &prevU, oclMat &prevV, oclMat *err, Size winSize, int iters)
oclMat &prevU, oclMat &prevV, oclMat *err, Size winSize, int iters)
{
Context *clCxt = I.clCxt;
bool isImageSupported = support_image2d();
@ -754,11 +323,6 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
JTex = (cl_mem)J.data;
}
//int2 halfWin = {(winSize.width - 1) / 2, (winSize.height - 1) / 2};
//const int patchWidth = 16 + 2 * halfWin.x;
//const int patchHeight = 16 + 2 * halfWin.y;
//size_t smem_size = 3 * patchWidth * patchHeight * sizeof(int);
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&ITex ));
@ -787,15 +351,14 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
if (isImageSupported)
{
openCLExecuteKernel2(clCxt, &pyrlk, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
openCLExecuteKernel(clCxt, &pyrlk, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth());
releaseTexture(ITex);
releaseTexture(JTex);
}
else
{
//printf("Warning: The image2d_t is not supported by the device. Using alternative method!\n");
openCLExecuteKernel2(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
openCLExecuteKernel(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth());
}
}
@ -813,23 +376,20 @@ void cv::ocl::PyrLKOpticalFlow::dense(const oclMat &prevImg, const oclMat &nextI
nextPyr_.resize(maxLevel + 1);
prevPyr_[0] = prevImg;
//nextImg.convertTo(nextPyr_[0], CV_32F);
convertTo(nextImg, nextPyr_[0], CV_32F);
nextImg.convertTo(nextPyr_[0], CV_32F);
for (int level = 1; level <= maxLevel; ++level)
{
pyrDown_cus(prevPyr_[level - 1], prevPyr_[level]);
pyrDown_cus(nextPyr_[level - 1], nextPyr_[level]);
pyrDown(prevPyr_[level - 1], prevPyr_[level]);
pyrDown(nextPyr_[level - 1], nextPyr_[level]);
}
ensureSizeIsEnough(prevImg.size(), CV_32FC1, uPyr_[0]);
ensureSizeIsEnough(prevImg.size(), CV_32FC1, vPyr_[0]);
ensureSizeIsEnough(prevImg.size(), CV_32FC1, uPyr_[1]);
ensureSizeIsEnough(prevImg.size(), CV_32FC1, vPyr_[1]);
//uPyr_[1].setTo(Scalar::all(0));
//vPyr_[1].setTo(Scalar::all(0));
setTo(uPyr_[1], Scalar::all(0));
setTo(vPyr_[1], Scalar::all(0));
uPyr_[1].setTo(Scalar::all(0));
vPyr_[1].setTo(Scalar::all(0));
Size winSize2i(winSize.width, winSize.height);
@ -846,10 +406,6 @@ void cv::ocl::PyrLKOpticalFlow::dense(const oclMat &prevImg, const oclMat &nextI
idx = idx2;
}
//uPyr_[idx].copyTo(u);
//vPyr_[idx].copyTo(v);
copyTo(uPyr_[idx], u);
copyTo(vPyr_[idx], v);
clFinish((cl_command_queue)prevImg.clCxt->oclCommandQueue());
uPyr_[idx].copyTo(u);
vPyr_[idx].copyTo(v);
}

7
modules/ocl/test/main.cpp
Unescape View File

@ -115,10 +115,9 @@ int main(int argc, char **argv)
std::cout << "platform invalid\n";
return -1;
}
if(pid != 0 || device != 0)
{
setDevice(oclinfo[pid], device);
}
setDevice(oclinfo[pid], device);
cout << "Device type:" << type << endl << "Device name:" << oclinfo[pid].DeviceName[device] << endl;
return RUN_ALL_TESTS();
}

Write Preview
Loading…
Cancel
Save