mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 09:49:13 +08:00
208 lines
7.2 KiB
C++
208 lines
7.2 KiB
C++
// 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) 2018 Intel Corporation
|
|
|
|
|
|
#include "test_precomp.hpp"
|
|
|
|
|
|
#include "logger.hpp"
|
|
#include "common/gapi_tests_common.hpp"
|
|
#include <opencv2/gapi/gpu/ggpukernel.hpp>
|
|
#include "opencl_kernels_test_gapi.hpp"
|
|
|
|
|
|
namespace cv
|
|
{
|
|
|
|
#ifdef HAVE_OPENCL
|
|
|
|
static void reference_symm7x7_CPU(const cv::Mat& in, const cv::Mat& kernel_coeff, int shift, cv::Mat &out)
|
|
{
|
|
cv::Point anchor = { -1, -1 };
|
|
double delta = 0;
|
|
|
|
const int* ci = kernel_coeff.ptr<int>();
|
|
|
|
float c_float[10];
|
|
float divisor = (float)(1 << shift);
|
|
for (int i = 0; i < 10; i++)
|
|
{
|
|
c_float[i] = ci[i] / divisor;
|
|
}
|
|
// J & I & H & G & H & I & J
|
|
// I & F & E & D & E & F & I
|
|
// H & E & C & B & C & E & H
|
|
// G & D & B & A & B & D & G
|
|
// H & E & C & B & C & E & H
|
|
// I & F & E & D & E & F & I
|
|
// J & I & H & G & H & I & J
|
|
|
|
// A & B & C & D & E & F & G & H & I & J
|
|
|
|
// 9 & 8 & 7 & 6 & 7 & 8 & 9
|
|
// 8 & 5 & 4 & 3 & 4 & 5 & 8
|
|
// 7 & 4 & 2 & 1 & 2 & 4 & 7
|
|
// 6 & 3 & 1 & 0 & 1 & 3 & 6
|
|
// 7 & 4 & 2 & 1 & 2 & 4 & 7
|
|
// 8 & 5 & 4 & 3 & 4 & 5 & 8
|
|
// 9 & 8 & 7 & 6 & 7 & 8 & 9
|
|
|
|
float coefficients[49] =
|
|
{
|
|
c_float[9], c_float[8], c_float[7], c_float[6], c_float[7], c_float[8], c_float[9],
|
|
c_float[8], c_float[5], c_float[4], c_float[3], c_float[4], c_float[5], c_float[8],
|
|
c_float[7], c_float[4], c_float[2], c_float[1], c_float[2], c_float[4], c_float[7],
|
|
c_float[6], c_float[3], c_float[1], c_float[0], c_float[1], c_float[3], c_float[6],
|
|
c_float[7], c_float[4], c_float[2], c_float[1], c_float[2], c_float[4], c_float[7],
|
|
c_float[8], c_float[5], c_float[4], c_float[3], c_float[4], c_float[5], c_float[8],
|
|
c_float[9], c_float[8], c_float[7], c_float[6], c_float[7], c_float[8], c_float[9]
|
|
};
|
|
|
|
cv::Mat kernel = cv::Mat(7, 7, CV_32FC1);
|
|
float* cf = kernel.ptr<float>();
|
|
for (int i = 0; i < 49; i++)
|
|
{
|
|
cf[i] = coefficients[i];
|
|
}
|
|
|
|
cv::filter2D(in, out, CV_8UC1, kernel, anchor, delta, cv::BORDER_REPLICATE);
|
|
}
|
|
|
|
namespace gapi_test_kernels
|
|
{
|
|
G_TYPED_KERNEL(TSymm7x7_test, <GMat(GMat, Mat, int)>, "org.opencv.imgproc.symm7x7_test") {
|
|
static GMatDesc outMeta(GMatDesc in, Mat, int) {
|
|
return in.withType(CV_8U, 1);
|
|
}
|
|
};
|
|
|
|
|
|
GAPI_GPU_KERNEL(GGPUSymm7x7_test, TSymm7x7_test)
|
|
{
|
|
static void run(const cv::UMat& in, const cv::Mat& kernel_coeff, int shift, cv::UMat &out)
|
|
{
|
|
if (cv::ocl::isOpenCLActivated())
|
|
{
|
|
cv::Size size = in.size();
|
|
size_t globalsize[2] = { (size_t)size.width, (size_t)size.height };
|
|
|
|
const cv::String moduleName = "gapi";
|
|
cv::ocl::ProgramSource source(moduleName, "symm7x7", opencl_symm7x7_src, "");
|
|
|
|
static const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_UNDEFINED" };
|
|
std::string build_options = " -D BORDER_CONSTANT_VALUE=" + std::to_string(0) +
|
|
" -D " + borderMap[1] +
|
|
" -D SCALE=1.f/" + std::to_string(1 << shift) + ".f";
|
|
|
|
cv::String errmsg;
|
|
cv::ocl::Program program(source, build_options, errmsg);
|
|
if (program.ptr() == NULL)
|
|
{
|
|
CV_Error_(cv::Error::OpenCLInitError, ("symm_7x7_test Can't compile OpenCL program: = %s with build_options = %s\n", errmsg.c_str(), build_options.c_str()));
|
|
}
|
|
if (!errmsg.empty())
|
|
{
|
|
std::cout << "OpenCL program build log:" << std::endl << errmsg << std::endl;
|
|
}
|
|
|
|
cv::ocl::Kernel kernel("symm_7x7_test", program);
|
|
if (kernel.empty())
|
|
{
|
|
CV_Error(cv::Error::OpenCLInitError, "symm_7x7_test Can't get OpenCL kernel\n");
|
|
}
|
|
|
|
cv::UMat gKer;
|
|
kernel_coeff.copyTo(gKer);
|
|
|
|
int tile_y = 0;
|
|
|
|
int idxArg = kernel.set(0, cv::ocl::KernelArg::PtrReadOnly(in));
|
|
idxArg = kernel.set(idxArg, (int)in.step);
|
|
idxArg = kernel.set(idxArg, (int)size.width);
|
|
idxArg = kernel.set(idxArg, (int)size.height);
|
|
idxArg = kernel.set(idxArg, cv::ocl::KernelArg::PtrWriteOnly(out));
|
|
idxArg = kernel.set(idxArg, (int)out.step);
|
|
idxArg = kernel.set(idxArg, (int)size.height);
|
|
idxArg = kernel.set(idxArg, (int)size.width);
|
|
idxArg = kernel.set(idxArg, (int)tile_y);
|
|
idxArg = kernel.set(idxArg, cv::ocl::KernelArg::PtrReadOnly(gKer));
|
|
|
|
if (!kernel.run(2, globalsize, NULL, false))
|
|
{
|
|
CV_Error(cv::Error::OpenCLApiCallError, "symm_7x7_test OpenCL kernel run failed\n");
|
|
}
|
|
}
|
|
else
|
|
{
|
|
//CPU fallback
|
|
cv::Mat in_Mat, out_Mat;
|
|
in_Mat = in.getMat(ACCESS_READ);
|
|
out_Mat = out.getMat(ACCESS_WRITE);
|
|
reference_symm7x7_CPU(in_Mat, kernel_coeff, shift, out_Mat);
|
|
}
|
|
}
|
|
};
|
|
|
|
cv::GKernelPackage gpuTestPackage = cv::gapi::kernels
|
|
<GGPUSymm7x7_test
|
|
>();
|
|
|
|
} // namespace gapi_test_kernels
|
|
#endif //HAVE_OPENCL
|
|
|
|
} // namespace cv
|
|
|
|
|
|
namespace opencv_test
|
|
{
|
|
|
|
#ifdef HAVE_OPENCL
|
|
|
|
using namespace cv::gapi_test_kernels;
|
|
|
|
TEST(GPU, Symm7x7_test)
|
|
{
|
|
const auto sz = cv::Size(1280, 720);
|
|
cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
|
|
cv::Mat out_mat_gapi(sz, CV_8UC1);
|
|
cv::Mat out_mat_ocv(sz, CV_8UC1);
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
cv::randn(in_mat, mean, stddev);
|
|
|
|
//Symm7x7 coefficients and shift
|
|
int coefficients_symm7x7[10] = { 1140, -118, 526, 290, -236, 64, -128, -5, -87, -7 };
|
|
int shift = 10;
|
|
cv::Mat kernel_coeff(10, 1, CV_32S);
|
|
int* ci = kernel_coeff.ptr<int>();
|
|
for (int i = 0; i < 10; i++)
|
|
{
|
|
ci[i] = coefficients_symm7x7[i];
|
|
}
|
|
|
|
// Run G-API
|
|
cv::GMat in;
|
|
auto out = TSymm7x7_test::on(in, kernel_coeff, shift);
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compile(cv::descr_of(in_mat), cv::compile_args(gpuTestPackage));
|
|
cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
|
|
|
|
// Run OpenCV
|
|
reference_symm7x7_CPU(in_mat, kernel_coeff, shift, out_mat_ocv);
|
|
|
|
compare_f cmpF = AbsSimilarPoints(1, 0.05).to_compare_f();
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
{
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
}
|
|
}
|
|
#endif
|
|
|
|
} // namespace opencv_test
|