Added make_point_list kernel

pull/3279/head
Alexander Karsakov 10 years ago
parent 1efc3cff36
commit 5c1f71de51
  1. 64
      modules/imgproc/src/hough.cpp
  2. 83
      modules/imgproc/src/opencl/hough_lines.cl
  3. 62
      modules/imgproc/test/ocl/test_houghlines.cpp

@ -42,6 +42,7 @@
//M*/
#include "precomp.hpp"
#include "opencl_kernels_imgproc.hpp"
namespace cv
{
@ -652,13 +653,76 @@ HoughLinesProbabilistic( Mat& image,
}
}
static bool ocl_HoughLines(InputArray _src, OutputArray _lines, double rho, double theta, int threshold,
double min_theta, double max_theta)
{
CV_Assert(_src.type() == CV_8UC1);
if (max_theta < 0 || max_theta > CV_PI ) {
CV_Error( CV_StsBadArg, "max_theta must fall between 0 and pi" );
}
if (min_theta < 0 || min_theta > max_theta ) {
CV_Error( CV_StsBadArg, "min_theta must fall between 0 and max_theta" );
}
UMat src = _src.getUMat();
float irho = 1 / rho;
int numangle = cvRound((max_theta - min_theta) / theta);
int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
// make list of nonzero points
const int pixelsPerWI = 4;
int group_size = (src.cols + pixelsPerWI - 1)/pixelsPerWI;
ocl::Kernel pointListKernel("make_point_list", ocl::imgproc::hough_lines_oclsrc,
format("-D MAKE_POINT_LIST -D GROUP_SIZE=%d -D LOCAL_SIZE", group_size, src.cols));
if (pointListKernel.empty())
return false;
UMat pointsList(1, src.total(), CV_32SC1);
UMat total(1, 1, CV_32SC1, Scalar::all(0));
pointListKernel.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnlyNoSize(pointsList),
ocl::KernelArg::PtrWriteOnly(total));
size_t localThreads[2] = { group_size, 1 };
size_t globalThreads[2] = { group_size, src.rows };
if (!pointListKernel.run(2, globalThreads, localThreads, false))
return false;
int total_points = total.getMat(ACCESS_READ).at<int>(0, 0);
if (total_points <= 0)
return false;
// convert src to hough space
group_size = (total_points + pixelsPerWI - 1)/pixelsPerWI;
ocl::Kernel fillAccumKernel("fill_accum", ocl::imgproc::hough_lines_oclsrc,
format("-D FILL_ACCUM -D GROUP_SIZE=%d", group_size));
if (fillAccumKernel.empty())
return false;
UMat accum(numangle + 2, numrho + 2, CV_32SC1, Scalar::all(0));
fillAccumKernel.args(ocl::KernelArg::ReadOnlyNoSize(pointsList), ocl::KernelArg::WriteOnly(accum),
ocl::KernelArg::Constant(&total_points, sizeof(int)), ocl::KernelArg::Constant(&irho, sizeof(float)),
ocl::KernelArg::Constant(&theta, sizeof(float)), ocl::KernelArg::Constant(&numrho, sizeof(int)));
globalThreads[0] = numangle; globalThreads[1] = group_size;
if (!fillAccumKernel.run(2, globalThreads, NULL, false))
return false;
return false;
}
}
void cv::HoughLines( InputArray _image, OutputArray _lines,
double rho, double theta, int threshold,
double srn, double stn, double min_theta, double max_theta )
{
CV_OCL_RUN(srn == 0 && stn == 0 && _lines.isUMat(),
ocl_HoughLines(_image, _lines, rho, theta, threshold, min_theta, max_theta));
Mat image = _image.getMat();
std::vector<Vec2f> lines;

@ -0,0 +1,83 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Itseez, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
#ifdef MAKE_POINT_LIST
__kernel void make_point_list(__global const uchar * src_ptr, int src_step, int src_offset, int src_rows, int src_cols,
__global uchar * list_ptr, int list_step, int list_offset, __global int* global_offset)
{
int x = get_local_id(0);
int y = get_group_id(1);
__local int l_index;
__local int l_points[LOCAL_SIZE];
__global const uchar * src = src_ptr + mad24(y, src_step, src_offset);
__global int * list = (__global int*)(list_ptr + list_offset);
if (x == 0)
l_index = 0;
barrier(CLK_LOCAL_MEM_FENCE);
if (y < src_rows)
{
for (int i=x; i < src_cols; i+=GROUP_SIZE)
{
if (src[i])
{
int val = (y << 16) | i;
int index = atomic_inc(&l_index);
l_points[index] = val;
}
}
}
barrier(CLK_LOCAL_MEM_FENCE);
int offset;
if (x == 0)
offset = atomic_add(global_offset, l_index);
barrier(CLK_LOCAL_MEM_FENCE);
list += offset;
for (int i=x; i < l_index; i+=GROUP_SIZE)
{
list[i] = l_points[i];
}
}
#elif defined FILL_ACCUM
__kernel void fill_accum(__global const uchar * list_ptr, int list_step, int list_offset,
__global uchar * accum_ptr, int accum_step, int accum_offset, int accum_rows, int accum_cols,
int count, float irho, float theta, int numrho)
{
int theta_idx = get_global_id(0);
int count_idx = get_global_id(1);
float cosVal;
float sinVal = sincos(theta * theta_idx, &cosVal);
sinVal *= irho;
cosVal *= irho;
__global const int * list = (__global const int*)(list_ptr + list_offset);
__global int* accum = (__global int*)(accum_ptr + mad24(theta_idx, accum_step, accum_offset));
const int shift = (numrho - 1) / 2;
for (int i = count_idx; i < count; i += GROUP_SIZE)
{
const int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
int r = round(x * cosVal + y * sinVal) + shift;
atomic_inc(accum + r + 1);
}
}
#endif

@ -0,0 +1,62 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Itseez, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
PARAM_TEST_CASE(HoughLinesTestBase, bool)
{
double rhoStep;
double thetaStep;
int threshold;
bool useRoi;
Mat src, dst;
UMat usrc, udst;
virtual void SetUp()
{
rhoStep = 10;
thetaStep = 0.1;
threshold = 80;
useRoi = false;
}
virtual void generateTestData()
{
//Mat image = readImage("shared/pic1.png", IMREAD_GRAYSCALE);
Mat image = randomMat(Size(100, 100), CV_8UC1, 0, 255, false);
cv::threshold(image, src, 127, 255, THRESH_BINARY);
//Canny(image, src, 100, 150, 3);
src.copyTo(usrc);
}
};
typedef HoughLinesTestBase HoughLines;
OCL_TEST_P(HoughLines, RealImage)
{
generateTestData();
//std::cout << src << std::endl;
OCL_OFF(cv::HoughLines(src, dst, rhoStep, thetaStep, threshold, 0, 0));
OCL_ON(cv::HoughLines(usrc, udst, rhoStep, thetaStep, threshold, 0, 0));
}
OCL_INSTANTIATE_TEST_CASE_P(Imgproc, HoughLines, Values(true, false));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL
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