|
|
|
// 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
|
|
|
|
|
|
|
|
|
|
|
|
#ifndef OPENCV_GAPI_IMGPROC_TESTS_INL_HPP
|
|
|
|
#define OPENCV_GAPI_IMGPROC_TESTS_INL_HPP
|
|
|
|
|
|
|
|
#include "opencv2/gapi/imgproc.hpp"
|
|
|
|
#include "gapi_imgproc_tests.hpp"
|
|
|
|
|
|
|
|
namespace opencv_test
|
|
|
|
{
|
|
|
|
TEST_P(Filter2DTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0, borderType = 0, dtype = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, borderType, dtype, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, dtype, initOut);
|
|
|
|
|
|
|
|
cv::Point anchor = {-1, -1};
|
|
|
|
double delta = 0;
|
|
|
|
|
|
|
|
cv::Mat kernel = cv::Mat(kernSize, kernSize, CV_32FC1 );
|
|
|
|
cv::Scalar kernMean = cv::Scalar(1.0);
|
|
|
|
cv::Scalar kernStddev = cv::Scalar(2.0/3);
|
|
|
|
randn(kernel, kernMean, kernStddev);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::filter2D(in, dtype, kernel, anchor, delta, borderType);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::filter2D(in_mat1, out_mat_ocv, dtype, kernel, anchor, delta, borderType);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(BoxFilterTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int filterSize = 0, borderType = 0, dtype = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, filterSize, sz, borderType, dtype, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, dtype, initOut);
|
|
|
|
|
|
|
|
cv::Point anchor = {-1, -1};
|
|
|
|
bool normalize = true;
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::boxFilter(in, dtype, cv::Size(filterSize, filterSize), anchor, normalize, borderType);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::boxFilter(in_mat1, out_mat_ocv, dtype, cv::Size(filterSize, filterSize), anchor, normalize, borderType);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(SepFilterTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0, dtype = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, dtype, initOut, compile_args) = GetParam();
|
|
|
|
|
|
|
|
cv::Mat kernelX(kernSize, 1, CV_32F);
|
|
|
|
cv::Mat kernelY(kernSize, 1, CV_32F);
|
|
|
|
randu(kernelX, -1, 1);
|
|
|
|
randu(kernelY, -1, 1);
|
|
|
|
initMatsRandN(type, sz, dtype, initOut);
|
|
|
|
|
|
|
|
cv::Point anchor = cv::Point(-1, -1);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::sepFilter(in, dtype, kernelX, kernelY, anchor, cv::Scalar() );
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::sepFilter2D(in_mat1, out_mat_ocv, dtype, kernelX, kernelY );
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(BlurTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int filterSize = 0, borderType = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, filterSize, sz, borderType, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
cv::Point anchor = {-1, -1};
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::blur(in, cv::Size(filterSize, filterSize), anchor, borderType);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::blur(in_mat1, out_mat_ocv, cv::Size(filterSize, filterSize), anchor, borderType);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(GaussianBlurTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF,type, kernSize, sz, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
cv::Size kSize = cv::Size(kernSize, kernSize);
|
|
|
|
double sigmaX = rand();
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::gaussianBlur(in, kSize, sigmaX);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::GaussianBlur(in_mat1, out_mat_ocv, kSize, sigmaX);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(MedianBlurTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::medianBlur(in, kernSize);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::medianBlur(in_mat1, out_mat_ocv, kernSize);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(ErodeTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0, kernType = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, kernType, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
cv::Mat kernel = cv::getStructuringElement(kernType, cv::Size(kernSize, kernSize));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::erode(in, kernel);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::erode(in_mat1, out_mat_ocv, kernel);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(Erode3x3Test, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int numIters = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, sz, initOut, numIters, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
cv::Mat kernel = cv::getStructuringElement(cv::MorphShapes::MORPH_RECT, cv::Size(3,3));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::erode3x3(in, numIters);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::erode(in_mat1, out_mat_ocv, kernel, cv::Point(-1, -1), numIters);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(DilateTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0, kernType = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, kernType, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
cv::Mat kernel = cv::getStructuringElement(kernType, cv::Size(kernSize, kernSize));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::dilate(in, kernel);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::dilate(in_mat1, out_mat_ocv, kernel);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(Dilate3x3Test, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int numIters = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, sz, initOut, numIters, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, type, initOut);
|
|
|
|
|
|
|
|
cv::Mat kernel = cv::getStructuringElement(cv::MorphShapes::MORPH_RECT, cv::Size(3,3));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::dilate3x3(in, numIters);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::dilate(in_mat1, out_mat_ocv, kernel, cv::Point(-1,-1), numIters);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
TEST_P(SobelTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0, dtype = 0, dx = 0, dy = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, dtype, dx, dy, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(type, sz, dtype, initOut);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::Sobel(in, dtype, dx, dy, kernSize );
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::Sobel(in_mat1, out_mat_ocv, dtype, dx, dy, kernSize);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(SobelXYTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type = 0;
|
|
|
|
int kernSize = 0, dtype = 0, order = 0, border_type = 0, border_val = 0;
|
|
|
|
cv::Size sz;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, kernSize, sz, dtype, order, border_type, border_val, compile_args) = GetParam();
|
|
|
|
|
|
|
|
cv::Mat out_mat_ocv2;
|
|
|
|
cv::Mat out_mat_gapi2;
|
|
|
|
|
|
|
|
initMatsRandN(type, sz, dtype);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::SobelXY(in, dtype, order, kernSize, 1, 0, border_type, border_val);
|
|
|
|
|
|
|
|
cv::GComputation c(cv::GIn(in), cv::GOut(std::get<0>(out), std::get<1>(out)));
|
|
|
|
c.apply(cv::gin(in_mat1), cv::gout(out_mat_gapi, out_mat_gapi2), std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
// workaround for cv::Sobel
|
|
|
|
cv::Mat temp_in;
|
|
|
|
if(border_type == cv::BORDER_CONSTANT)
|
|
|
|
{
|
|
|
|
int n_pixels = (kernSize - 1) / 2;
|
|
|
|
cv::copyMakeBorder(in_mat1, temp_in, n_pixels, n_pixels, n_pixels, n_pixels, border_type, border_val);
|
|
|
|
in_mat1 = temp_in(cv::Rect(n_pixels, n_pixels, in_mat1.cols, in_mat1.rows));
|
|
|
|
}
|
|
|
|
cv::Sobel(in_mat1, out_mat_ocv, dtype, order, 0, kernSize, 1, 0, border_type);
|
|
|
|
cv::Sobel(in_mat1, out_mat_ocv2, dtype, 0, order, kernSize, 1, 0, border_type);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi2, out_mat_ocv2));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
EXPECT_EQ(out_mat_gapi2.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(EqHistTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
cv::Size sz;
|
|
|
|
bool initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, sz, initOut, compile_args) = GetParam();
|
|
|
|
initMatsRandN(CV_8UC1, sz, CV_8UC1, initOut);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::equalizeHist(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::equalizeHist(in_mat1, out_mat_ocv);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(GetParam()));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(CannyTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
MatType type;
|
|
|
|
int apSize = 0;
|
|
|
|
double thrLow = 0.0, thrUp = 0.0;
|
|
|
|
cv::Size sz;
|
|
|
|
bool l2gr = false, initOut = false;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, type, sz, thrLow, thrUp, apSize, l2gr, initOut, compile_args) = GetParam();
|
|
|
|
|
|
|
|
initMatsRandN(type, sz, CV_8UC1, initOut);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::Canny(in, thrLow, thrUp, apSize, l2gr);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::Canny(in_mat1, out_mat_ocv, thrLow, thrUp, apSize, l2gr);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(RGB2GrayTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC1, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::RGB2Gray(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_RGB2GRAY);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(BGR2GrayTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC1, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::BGR2Gray(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_BGR2GRAY);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(RGB2YUVTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::RGB2YUV(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_RGB2YUV);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(YUV2RGBTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::YUV2RGB(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_YUV2RGB);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(NV12toRGBTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
cv::Size sz;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, sz, compile_args) = GetParam();
|
|
|
|
|
|
|
|
initMatsRandN(CV_8UC1, sz, CV_8UC3);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in_y;
|
|
|
|
cv::GMat in_uv;
|
|
|
|
auto out = cv::gapi::NV12toRGB(in_y, in_uv);
|
|
|
|
|
|
|
|
// Additional mat for uv
|
|
|
|
cv::Mat in_mat_uv(cv::Size(sz.width / 2, sz.height / 2), CV_8UC2);
|
|
|
|
|
|
|
|
cv::GComputation c(cv::GIn(in_y, in_uv), cv::GOut(out));
|
|
|
|
c.apply(cv::gin(in_mat1, in_mat_uv), cv::gout(out_mat_gapi), std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColorTwoPlane(in_mat1, in_mat_uv, out_mat_ocv, cv::COLOR_YUV2RGB_NV12);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(NV12toBGRTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
compare_f cmpF;
|
|
|
|
cv::Size sz;
|
|
|
|
cv::GCompileArgs compile_args;
|
|
|
|
std::tie(cmpF, sz, compile_args) = GetParam();
|
|
|
|
|
|
|
|
initMatsRandN(CV_8UC1, sz, CV_8UC3);
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in_y;
|
|
|
|
cv::GMat in_uv;
|
|
|
|
auto out = cv::gapi::NV12toBGR(in_y, in_uv);
|
|
|
|
|
|
|
|
// Additional mat for uv
|
|
|
|
cv::Mat in_mat_uv(cv::Size(sz.width / 2, sz.height / 2), CV_8UC2);
|
|
|
|
|
|
|
|
cv::GComputation c(cv::GIn(in_y, in_uv), cv::GOut(out));
|
|
|
|
c.apply(cv::gin(in_mat1, in_mat_uv), cv::gout(out_mat_gapi), std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColorTwoPlane(in_mat1, in_mat_uv, out_mat_ocv, cv::COLOR_YUV2BGR_NV12);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), sz);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(RGB2LabTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::RGB2Lab(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_RGB2Lab);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(BGR2LUVTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::BGR2LUV(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_BGR2Luv);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(LUV2BGRTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::LUV2BGR(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_Luv2BGR);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(BGR2YUVTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::BGR2YUV(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_BGR2YUV);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_P(YUV2BGRTest, AccuracyTest)
|
|
|
|
{
|
|
|
|
auto param = GetParam();
|
|
|
|
auto compile_args = std::get<3>(param);
|
|
|
|
compare_f cmpF = std::get<0>(param);
|
|
|
|
initMatsRandN(CV_8UC3, std::get<1>(param), CV_8UC3, std::get<2>(param));
|
|
|
|
|
|
|
|
// G-API code //////////////////////////////////////////////////////////////
|
|
|
|
cv::GMat in;
|
|
|
|
auto out = cv::gapi::YUV2BGR(in);
|
|
|
|
|
|
|
|
cv::GComputation c(in, out);
|
|
|
|
c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
|
|
|
|
// OpenCV code /////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_YUV2BGR);
|
|
|
|
}
|
|
|
|
// Comparison //////////////////////////////////////////////////////////////
|
|
|
|
{
|
|
|
|
EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
|
|
|
|
EXPECT_EQ(out_mat_gapi.size(), std::get<1>(param));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
} // opencv_test
|
|
|
|
|
|
|
|
#endif //OPENCV_GAPI_IMGPROC_TESTS_INL_HPP
|