// 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::gapi::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