mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
302 lines
8.9 KiB
302 lines
8.9 KiB
6 years ago
|
// 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 <stdexcept>
|
||
|
#include <ade/util/iota_range.hpp>
|
||
|
#include "logger.hpp"
|
||
|
|
||
|
namespace opencv_test
|
||
|
{
|
||
|
|
||
|
namespace
|
||
|
{
|
||
|
G_TYPED_KERNEL(GInvalidResize, <GMat(GMat,Size,double,double,int)>, "org.opencv.test.invalid_resize")
|
||
|
{
|
||
|
static GMatDesc outMeta(GMatDesc in, Size, double, double, int) { return in; }
|
||
|
};
|
||
|
|
||
|
GAPI_OCV_KERNEL(GOCVInvalidResize, GInvalidResize)
|
||
|
{
|
||
|
static void run(const cv::Mat& in, cv::Size sz, double fx, double fy, int interp, cv::Mat &out)
|
||
|
{
|
||
|
cv::resize(in, out, sz, fx, fy, interp);
|
||
|
}
|
||
|
};
|
||
|
|
||
|
G_TYPED_KERNEL(GReallocatingCopy, <GMat(GMat)>, "org.opencv.test.reallocating_copy")
|
||
|
{
|
||
|
static GMatDesc outMeta(GMatDesc in) { return in; }
|
||
|
};
|
||
|
|
||
|
GAPI_OCV_KERNEL(GOCVReallocatingCopy, GReallocatingCopy)
|
||
|
{
|
||
|
static void run(const cv::Mat& in, cv::Mat &out)
|
||
|
{
|
||
|
out = in.clone();
|
||
|
}
|
||
|
};
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, OverloadUnary_MatMat)
|
||
|
{
|
||
|
cv::GMat in;
|
||
|
cv::GComputation comp(in, cv::gapi::bitwise_not(in));
|
||
|
|
||
|
cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
|
||
|
cv::Mat ref_mat = ~in_mat;
|
||
|
|
||
|
cv::Mat out_mat;
|
||
|
comp.apply(in_mat, out_mat);
|
||
|
EXPECT_EQ(0, cv::countNonZero(out_mat != ref_mat));
|
||
|
|
||
|
out_mat = cv::Mat();
|
||
|
auto cc = comp.compile(cv::descr_of(in_mat));
|
||
|
cc(in_mat, out_mat);
|
||
|
EXPECT_EQ(0, cv::countNonZero(out_mat != ref_mat));
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, OverloadUnary_MatScalar)
|
||
|
{
|
||
|
cv::GMat in;
|
||
|
cv::GComputation comp(in, cv::gapi::sum(in));
|
||
|
|
||
|
cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
|
||
|
cv::Scalar ref_scl = cv::sum(in_mat);
|
||
|
|
||
|
cv::Scalar out_scl;
|
||
|
comp.apply(in_mat, out_scl);
|
||
|
EXPECT_EQ(out_scl, ref_scl);
|
||
|
|
||
|
out_scl = cv::Scalar();
|
||
|
auto cc = comp.compile(cv::descr_of(in_mat));
|
||
|
cc(in_mat, out_scl);
|
||
|
EXPECT_EQ(out_scl, ref_scl);
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, OverloadBinary_Mat)
|
||
|
{
|
||
|
cv::GMat a, b;
|
||
|
cv::GComputation comp(a, b, cv::gapi::add(a, b));
|
||
|
|
||
|
cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
|
||
|
cv::Mat ref_mat = (in_mat+in_mat);
|
||
|
|
||
|
cv::Mat out_mat;
|
||
|
comp.apply(in_mat, in_mat, out_mat);
|
||
|
EXPECT_EQ(0, cv::countNonZero(out_mat != ref_mat));
|
||
|
|
||
|
out_mat = cv::Mat();
|
||
|
auto cc = comp.compile(cv::descr_of(in_mat), cv::descr_of(in_mat));
|
||
|
cc(in_mat, in_mat, out_mat);
|
||
|
EXPECT_EQ(0, cv::countNonZero(out_mat != ref_mat));
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, OverloadBinary_Scalar)
|
||
|
{
|
||
|
cv::GMat a, b;
|
||
|
cv::GComputation comp(a, b, cv::gapi::sum(a + b));
|
||
|
|
||
|
cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
|
||
|
cv::Scalar ref_scl = cv::sum(in_mat+in_mat);
|
||
|
|
||
|
cv::Scalar out_scl;
|
||
|
comp.apply(in_mat, in_mat, out_scl);
|
||
|
EXPECT_EQ(out_scl, ref_scl);
|
||
|
|
||
|
out_scl = cv::Scalar();
|
||
|
auto cc = comp.compile(cv::descr_of(in_mat), cv::descr_of(in_mat));
|
||
|
cc(in_mat, in_mat, out_scl);
|
||
|
EXPECT_EQ(out_scl, ref_scl);
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, Sharpen)
|
||
|
{
|
||
|
const cv::Size sz_in (1280, 720);
|
||
|
const cv::Size sz_out( 640, 480);
|
||
|
cv::Mat in_mat (sz_in, CV_8UC3);
|
||
|
in_mat = cv::Scalar(128, 33, 53);
|
||
|
|
||
|
cv::Mat out_mat(sz_out, CV_8UC3);
|
||
|
cv::Mat out_mat_y;
|
||
|
cv::Mat out_mat_ocv(sz_out, CV_8UC3);
|
||
|
|
||
|
float sharpen_coeffs[] = {
|
||
|
0.0f, -1.f, 0.0f,
|
||
|
-1.0f, 5.f, -1.0f,
|
||
|
0.0f, -1.f, 0.0f
|
||
|
};
|
||
|
cv::Mat sharpen_kernel(3, 3, CV_32F, sharpen_coeffs);
|
||
|
|
||
|
// G-API code //////////////////////////////////////////////////////////////
|
||
|
|
||
|
cv::GMat in;
|
||
|
auto vga = cv::gapi::resize(in, sz_out);
|
||
|
auto yuv = cv::gapi::RGB2YUV(vga);
|
||
|
auto yuv_p = cv::gapi::split3(yuv);
|
||
|
auto y_sharp = cv::gapi::filter2D(std::get<0>(yuv_p), -1, sharpen_kernel);
|
||
|
auto yuv_new = cv::gapi::merge3(y_sharp, std::get<1>(yuv_p), std::get<2>(yuv_p));
|
||
|
auto out = cv::gapi::YUV2RGB(yuv_new);
|
||
|
|
||
|
cv::GComputation c(cv::GIn(in), cv::GOut(y_sharp, out));
|
||
|
c.apply(cv::gin(in_mat), cv::gout(out_mat_y, out_mat));
|
||
|
|
||
|
// OpenCV code /////////////////////////////////////////////////////////////
|
||
|
{
|
||
|
cv::Mat smaller;
|
||
|
cv::resize(in_mat, smaller, sz_out);
|
||
|
|
||
|
cv::Mat yuv_mat;
|
||
|
cv::cvtColor(smaller, yuv_mat, cv::COLOR_RGB2YUV);
|
||
|
std::vector<cv::Mat> yuv_planar(3);
|
||
|
cv::split(yuv_mat, yuv_planar);
|
||
|
cv::filter2D(yuv_planar[0], yuv_planar[0], -1, sharpen_kernel);
|
||
|
cv::merge(yuv_planar, yuv_mat);
|
||
|
cv::cvtColor(yuv_mat, out_mat_ocv, cv::COLOR_YUV2RGB);
|
||
|
}
|
||
|
|
||
|
// Comparison //////////////////////////////////////////////////////////////
|
||
|
{
|
||
|
cv::Mat diff = out_mat_ocv != out_mat;
|
||
|
std::vector<cv::Mat> diffBGR(3);
|
||
|
cv::split(diff, diffBGR);
|
||
|
EXPECT_EQ(0, cv::countNonZero(diffBGR[0]));
|
||
|
EXPECT_EQ(0, cv::countNonZero(diffBGR[1]));
|
||
|
EXPECT_EQ(0, cv::countNonZero(diffBGR[2]));
|
||
|
}
|
||
|
|
||
|
// Metadata check /////////////////////////////////////////////////////////
|
||
|
{
|
||
|
auto cc = c.compile(cv::descr_of(in_mat));
|
||
|
auto metas = cc.outMetas();
|
||
|
ASSERT_EQ(2u, metas.size());
|
||
|
|
||
|
auto out_y_meta = cv::util::get<cv::GMatDesc>(metas[0]);
|
||
|
auto out_meta = cv::util::get<cv::GMatDesc>(metas[1]);
|
||
|
|
||
|
// Y-output
|
||
|
EXPECT_EQ(CV_8U, out_y_meta.depth);
|
||
|
EXPECT_EQ(1, out_y_meta.chan);
|
||
|
EXPECT_EQ(640, out_y_meta.size.width);
|
||
|
EXPECT_EQ(480, out_y_meta.size.height);
|
||
|
|
||
|
// Final output
|
||
|
EXPECT_EQ(CV_8U, out_meta.depth);
|
||
|
EXPECT_EQ(3, out_meta.chan);
|
||
|
EXPECT_EQ(640, out_meta.size.width);
|
||
|
EXPECT_EQ(480, out_meta.size.height);
|
||
|
}
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, CustomRGB2YUV)
|
||
|
{
|
||
|
const cv::Size sz(1280, 720);
|
||
|
|
||
|
// BEWARE:
|
||
|
//
|
||
|
// std::vector<cv::Mat> out_mats_cv(3, cv::Mat(sz, CV_8U))
|
||
|
//
|
||
|
// creates a vector of 3 elements pointing to the same Mat!
|
||
|
// FIXME: Make a G-API check for that
|
||
|
const int INS = 3;
|
||
|
std::vector<cv::Mat> in_mats(INS);
|
||
|
for (auto i : ade::util::iota(INS))
|
||
|
{
|
||
|
in_mats[i].create(sz, CV_8U);
|
||
|
cv::randu(in_mats[i], cv::Scalar::all(0), cv::Scalar::all(255));
|
||
|
}
|
||
|
|
||
|
const int OUTS = 3;
|
||
|
std::vector<cv::Mat> out_mats_cv(OUTS);
|
||
|
std::vector<cv::Mat> out_mats_gapi(OUTS);
|
||
|
for (auto i : ade::util::iota(OUTS))
|
||
|
{
|
||
|
out_mats_cv [i].create(sz, CV_8U);
|
||
|
out_mats_gapi[i].create(sz, CV_8U);
|
||
|
}
|
||
|
|
||
|
// G-API code //////////////////////////////////////////////////////////////
|
||
|
{
|
||
|
cv::GMat r, g, b;
|
||
|
cv::GMat y = 0.299f*r + 0.587f*g + 0.114f*b;
|
||
|
cv::GMat u = 0.492f*(b - y);
|
||
|
cv::GMat v = 0.877f*(r - y);
|
||
|
|
||
|
cv::GComputation customCvt({r, g, b}, {y, u, v});
|
||
|
customCvt.apply(in_mats, out_mats_gapi);
|
||
|
}
|
||
|
|
||
|
// OpenCV code /////////////////////////////////////////////////////////////
|
||
|
{
|
||
|
cv::Mat r = in_mats[0], g = in_mats[1], b = in_mats[2];
|
||
|
cv::Mat y = 0.299f*r + 0.587f*g + 0.114f*b;
|
||
|
cv::Mat u = 0.492f*(b - y);
|
||
|
cv::Mat v = 0.877f*(r - y);
|
||
|
|
||
|
out_mats_cv[0] = y;
|
||
|
out_mats_cv[1] = u;
|
||
|
out_mats_cv[2] = v;
|
||
|
}
|
||
|
|
||
|
// Comparison //////////////////////////////////////////////////////////////
|
||
|
{
|
||
|
const auto diff = [](cv::Mat m1, cv::Mat m2, int t) {
|
||
|
return cv::abs(m1-m2) > t;
|
||
|
};
|
||
|
|
||
|
// FIXME: Not bit-accurate even now!
|
||
|
cv::Mat
|
||
|
diff_y = diff(out_mats_cv[0], out_mats_gapi[0], 2),
|
||
|
diff_u = diff(out_mats_cv[1], out_mats_gapi[1], 2),
|
||
|
diff_v = diff(out_mats_cv[2], out_mats_gapi[2], 2);
|
||
|
|
||
|
EXPECT_EQ(0, cv::countNonZero(diff_y));
|
||
|
EXPECT_EQ(0, cv::countNonZero(diff_u));
|
||
|
EXPECT_EQ(0, cv::countNonZero(diff_v));
|
||
|
}
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, PipelineWithInvalidKernel)
|
||
|
{
|
||
|
cv::GMat in, out;
|
||
|
cv::Mat in_mat(500, 500, CV_8UC1), out_mat;
|
||
|
out = GInvalidResize::on(in, cv::Size(300, 300), 0.0, 0.0, cv::INTER_LINEAR);
|
||
|
|
||
|
const auto pkg = cv::gapi::kernels<GOCVInvalidResize>();
|
||
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
||
|
|
||
|
EXPECT_THROW(comp.apply(in_mat, out_mat, cv::compile_args(pkg)), std::logic_error);
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, InvalidOutputComputation)
|
||
|
{
|
||
|
cv::GMat in1, out1, out2, out3;
|
||
|
|
||
|
std::tie(out1, out2, out2) = cv::gapi::split3(in1);
|
||
|
cv::GComputation c({in1}, {out1, out2, out3});
|
||
|
cv::Mat in_mat;
|
||
|
cv::Mat out_mat1, out_mat2, out_mat3, out_mat4;
|
||
|
std::vector<cv::Mat> u_outs = {out_mat1, out_mat2, out_mat3, out_mat4};
|
||
|
std::vector<cv::Mat> u_ins = {in_mat};
|
||
|
|
||
|
EXPECT_THROW(c.apply(u_ins, u_outs), std::logic_error);
|
||
|
}
|
||
|
|
||
|
TEST(GAPI_Pipeline, PipelineAllocatingKernel)
|
||
|
{
|
||
|
cv::GMat in, out;
|
||
|
cv::Mat in_mat(500, 500, CV_8UC1), out_mat;
|
||
|
out = GReallocatingCopy::on(in);
|
||
|
|
||
|
const auto pkg = cv::gapi::kernels<GOCVReallocatingCopy>();
|
||
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
||
|
|
||
|
EXPECT_THROW(comp.apply(in_mat, out_mat, cv::compile_args(pkg)), std::logic_error);
|
||
|
}
|
||
|
} // namespace opencv_test
|