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94e36d8c8d
G-API: Mat's "deownification" * deowned Mat * boner * Removed canDescribe test for own::Mat * Removed STANDALONE flag for apply() and operator() * Removed: desc_tests for own::Mat, descr_of for own::Mat. * Returned: tests, cv::gapi::own::descr_of; fixed alignment; Removed own::Mat's headers * Removed unused header own/mat.hpp from gbackend.hpp
907 lines
29 KiB
C++
907 lines
29 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include <opencv2/gapi/core.hpp>
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#include <opencv2/gapi/fluid/gfluidbuffer.hpp>
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#include <opencv2/gapi/fluid/gfluidkernel.hpp>
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// FIXME: move these tests with priv() to internal suite
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#include "backends/fluid/gfluidbuffer_priv.hpp"
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#include "gapi_fluid_test_kernels.hpp"
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#include "logger.hpp"
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namespace opencv_test
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{
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using namespace cv::gapi_test_kernels;
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namespace
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{
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void WriteFunction(uint8_t* row, int nr, int w) {
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for (int i = 0; i < w; i++)
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row[i] = static_cast<uint8_t>(nr+i);
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};
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void ReadFunction1x1(const uint8_t* row, int w) {
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for (int i = 0; i < w; i++)
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std::cout << std::setw(4) << static_cast<int>(row[i]) << " ";
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std::cout << "\n";
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};
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void ReadFunction3x3(const uint8_t* rows[3], int w) {
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for (int i = 0; i < 3; i++) {
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for (int j = -1; j < w+1; j++) {
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std::cout << std::setw(4) << static_cast<int>(rows[i][j]) << " ";
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}
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std::cout << "\n";
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}
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std::cout << "\n";
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};
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}
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TEST(FluidBuffer, InputTest)
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{
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const cv::Size buffer_size = {8,8};
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cv::Mat in_mat = cv::Mat::eye(buffer_size, CV_8U);
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cv::gapi::fluid::Buffer buffer(in_mat, true);
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cv::gapi::fluid::View view = buffer.mkView(0, false);
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view.priv().allocate(1, {});
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view.priv().reset(1);
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int this_y = 0;
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while (this_y < buffer_size.height)
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{
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view.priv().prepareToRead();
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const uint8_t* rrow = view.InLine<uint8_t>(0);
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ReadFunction1x1(rrow, buffer_size.width);
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view.priv().readDone(1,1);
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cv::Mat from_buffer(1, buffer_size.width, CV_8U, const_cast<uint8_t*>(rrow));
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EXPECT_EQ(0, cvtest::norm(in_mat.row(this_y), from_buffer, NORM_INF));
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this_y++;
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}
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}
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TEST(FluidBuffer, CircularTest)
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{
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const cv::Size buffer_size = {8,16};
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cv::gapi::fluid::Buffer buffer(cv::GMatDesc{CV_8U,1,buffer_size}, 3, 1, 0, 1,
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util::make_optional(cv::gapi::fluid::Border{cv::BORDER_CONSTANT, cv::Scalar(255)}));
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cv::gapi::fluid::View view = buffer.mkView(1, {});
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view.priv().reset(3);
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view.priv().allocate(3, {});
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buffer.debug(std::cout);
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const auto whole_line_is = [](const uint8_t *line, int len, int value)
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{
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return std::all_of(line, line+len, [&](const uint8_t v){return v == value;});
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};
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// Store all read/written data in separate Mats to compare with
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cv::Mat written_data(buffer_size, CV_8U);
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// Simulate write/read process
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int num_reads = 0, num_writes = 0;
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while (num_reads < buffer_size.height)
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{
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if (num_writes < buffer_size.height)
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{
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uint8_t* wrow = buffer.OutLine<uint8_t>();
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WriteFunction(wrow, num_writes, buffer_size.width);
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buffer.priv().writeDone();
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cv::Mat(1, buffer_size.width, CV_8U, wrow)
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.copyTo(written_data.row(num_writes));
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num_writes++;
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}
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buffer.debug(std::cout);
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if (view.ready())
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{
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view.priv().prepareToRead();
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const uint8_t* rrow[3] = {
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view.InLine<uint8_t>(-1),
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view.InLine<uint8_t>( 0),
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view.InLine<uint8_t>( 1),
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};
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ReadFunction3x3(rrow, buffer_size.width);
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view.priv().readDone(1,3);
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buffer.debug(std::cout);
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// Check borders right here
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EXPECT_EQ(255u, rrow[0][-1]);
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EXPECT_EQ(255u, rrow[0][buffer_size.width]);
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if (num_reads == 0)
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{
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EXPECT_TRUE(whole_line_is(rrow[0]-1, buffer_size.width+2, 255u));
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}
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if (num_reads == buffer_size.height-1)
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{
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EXPECT_TRUE(whole_line_is(rrow[2]-1, buffer_size.width+2, 255u));
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}
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// Check window (without borders)
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if (num_reads > 0 && num_reads < buffer_size.height-1)
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{
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// +1 everywhere since num_writes was just incremented above
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cv::Mat written_lastLine2 = written_data.row(num_writes - (2+1));
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cv::Mat written_lastLine1 = written_data.row(num_writes - (1+1));
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cv::Mat written_lastLine0 = written_data.row(num_writes - (0+1));
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cv::Mat read_prevLine(1, buffer_size.width, CV_8U, const_cast<uint8_t*>(rrow[0]));
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cv::Mat read_thisLine(1, buffer_size.width, CV_8U, const_cast<uint8_t*>(rrow[1]));
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cv::Mat read_nextLine(1, buffer_size.width, CV_8U, const_cast<uint8_t*>(rrow[2]));
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EXPECT_EQ(0, cvtest::norm(written_lastLine2, read_prevLine, NORM_INF));
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EXPECT_EQ(0, cvtest::norm(written_lastLine1, read_thisLine, NORM_INF));
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EXPECT_EQ(0, cvtest::norm(written_lastLine0, read_nextLine, NORM_INF));
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}
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num_reads++;
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}
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}
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}
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TEST(FluidBuffer, OutputTest)
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{
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const cv::Size buffer_size = {8,16};
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cv::Mat out_mat = cv::Mat(buffer_size, CV_8U);
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cv::gapi::fluid::Buffer buffer(out_mat, false);
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int num_writes = 0;
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while (num_writes < buffer_size.height)
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{
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uint8_t* wrow = buffer.OutLine<uint8_t>();
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WriteFunction(wrow, num_writes, buffer_size.width);
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buffer.priv().writeDone();
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num_writes++;
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}
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GAPI_LOG_INFO(NULL, "\n" << out_mat);
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// Validity check
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for (int r = 0; r < buffer_size.height; r++)
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{
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for (int c = 0; c < buffer_size.width; c++)
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{
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EXPECT_EQ(r+c, out_mat.at<uint8_t>(r, c));
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}
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}
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}
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TEST(Fluid, AddC_WithScalar)
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{
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cv::GMat in;
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cv::GScalar s;
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cv::GComputation c(cv::GIn(in, s), cv::GOut(TAddScalar::on(in, s)));
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cv::Mat in_mat = cv::Mat::eye(3, 3, CV_8UC1), out_mat(3, 3, CV_8UC1), ref_mat;
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cv::Scalar in_s(100);
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auto cc = c.compile(cv::descr_of(in_mat), cv::descr_of(in_s), cv::compile_args(fluidTestPackage));
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cc(cv::gin(in_mat, in_s), cv::gout(out_mat));
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ref_mat = in_mat + in_s;
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(Fluid, Scalar_In_Middle_Graph)
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{
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cv::GMat in;
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cv::GScalar s;
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cv::GComputation c(cv::GIn(in, s), cv::GOut(TAddScalar::on(TAddCSimple::on(in, 5), s)));
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cv::Mat in_mat = cv::Mat::eye(3, 3, CV_8UC1), out_mat(3, 3, CV_8UC1), ref_mat;
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cv::Scalar in_s(100);
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auto cc = c.compile(cv::descr_of(in_mat), cv::descr_of(in_s), cv::compile_args(fluidTestPackage));
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cc(cv::gin(in_mat, in_s), cv::gout(out_mat));
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ref_mat = (in_mat + 5) + in_s;
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(Fluid, Add_Scalar_To_Mat)
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{
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cv::GMat in;
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cv::GScalar s;
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cv::GComputation c(cv::GIn(s, in), cv::GOut(TAddScalarToMat::on(s, in)));
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cv::Mat in_mat = cv::Mat::eye(3, 3, CV_8UC1), out_mat(3, 3, CV_8UC1), ref_mat;
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cv::Scalar in_s(100);
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auto cc = c.compile(cv::descr_of(in_s), cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
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cc(cv::gin(in_s, in_mat), cv::gout(out_mat));
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ref_mat = in_mat + in_s;
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(Fluid, Sum_2_Mats_And_Scalar)
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{
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cv::GMat a, b;
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cv::GScalar s;
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cv::GComputation c(cv::GIn(a, s, b), cv::GOut(TSum2MatsAndScalar::on(a, s, b)));
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cv::Mat in_mat1 = cv::Mat::eye(3, 3, CV_8UC1),
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in_mat2 = cv::Mat::eye(3, 3, CV_8UC1),
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out_mat(3, 3, CV_8UC1),
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ref_mat;
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cv::Scalar in_s(100);
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auto cc = c.compile(cv::descr_of(in_mat1), cv::descr_of(in_s), cv::descr_of(in_mat2), cv::compile_args(fluidTestPackage));
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cc(cv::gin(in_mat1, in_s, in_mat2), cv::gout(out_mat));
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ref_mat = in_mat1 + in_mat2 + in_s;
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(Fluid, EqualizeHist)
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{
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cv::GMat in, out;
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cv::GComputation c(cv::GIn(in), cv::GOut(TEqualizeHist::on(in, TCalcHist::on(in))));
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cv::Mat in_mat(320, 480, CV_8UC1),
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out_mat(320, 480, CV_8UC1),
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ref_mat(320, 480, CV_8UC1);
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cv::randu(in_mat, 200, 240);
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auto cc = c.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
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cc(cv::gin(in_mat), cv::gout(out_mat));
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cv::equalizeHist(in_mat, ref_mat);
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(Fluid, Split3)
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{
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cv::GMat bgr;
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cv::GMat r,g,b;
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std::tie(b,g,r) = cv::gapi::split3(bgr);
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auto rr = TAddSimple::on(r, TId::on(b));
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auto rrr = TAddSimple::on(TId::on(rr), g);
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cv::GComputation c(bgr, TId::on(rrr));
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cv::Size sz(5120, 5120);
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cv::Mat eye_1 = cv::Mat::eye(sz, CV_8UC1);
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std::vector<cv::Mat> eyes = {eye_1, eye_1, eye_1};
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cv::Mat in_mat;
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cv::merge(eyes, in_mat);
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cv::Mat out_mat(sz, CV_8UC1);
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// G-API
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auto cc = c.compile(cv::descr_of(in_mat),
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cv::compile_args(fluidTestPackage));
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cc(in_mat, out_mat);
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// OCV
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std::vector<cv::Mat> chans;
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cv::split(in_mat, chans);
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// Compare
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EXPECT_EQ(0, cvtest::norm(out_mat, Mat(chans[2]*3), NORM_INF));
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}
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TEST(Fluid, ScratchTest)
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{
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cv::GMat in;
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cv::GMat out = TPlusRow0::on(TPlusRow0::on(in));
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cv::GComputation c(in, out);
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cv::Size sz(8, 8);
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cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
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cv::Mat out_mat(sz, CV_8UC1);
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// OpenCV (reference)
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cv::Mat ref;
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{
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cv::Mat first_row = cv::Mat::zeros(1, sz.width, CV_8U);
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cv::Mat remaining = cv::repeat(in_mat.row(0), sz.height-1, 1);
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cv::Mat operand;
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cv::vconcat(first_row, 2*remaining, operand);
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ref = in_mat + operand;
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}
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GAPI_LOG_INFO(NULL, "\n" << ref);
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// G-API
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auto cc = c.compile(cv::descr_of(in_mat),
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cv::compile_args(fluidTestPackage));
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cc(in_mat, out_mat);
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GAPI_LOG_INFO(NULL, "\n" << out_mat);
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EXPECT_EQ(0, cvtest::norm(ref, out_mat, NORM_INF));
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cc(in_mat, out_mat);
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GAPI_LOG_INFO(NULL, "\n" << out_mat);
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EXPECT_EQ(0, cvtest::norm(ref, out_mat, NORM_INF));
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}
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TEST(Fluid, MultipleOutRowsTest)
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{
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cv::GMat in;
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cv::GMat out = TAddCSimple::on(TAddCSimple::on(in, 1), 2);
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cv::GComputation c(in, out);
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cv::Size sz(4, 4);
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cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
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cv::Mat out_mat(sz, CV_8UC1);
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auto cc = c.compile(cv::descr_of(in_mat),
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cv::compile_args(fluidTestPackage));
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cc(in_mat, out_mat);
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std::cout << out_mat << std::endl;
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cv::Mat ocv_ref = in_mat + 1 + 2;
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EXPECT_EQ(0, cvtest::norm(ocv_ref, out_mat, NORM_INF));
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}
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TEST(Fluid, LPIWindow)
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{
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cv::GMat in;
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cv::GMat r,g,b;
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std::tie(r,g,b) = cv::gapi::split3(in);
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cv::GMat rr = TId7x7::on(r);
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cv::GMat tmp = TAddSimple::on(rr, g);
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cv::GMat out = TAddSimple::on(tmp, b);
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cv::GComputation c(in, out);
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cv::Size sz(8, 8);
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cv::Mat eye_1 = cv::Mat::eye(sz, CV_8UC1);
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std::vector<cv::Mat> eyes = {eye_1, eye_1, eye_1};
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cv::Mat in_mat;
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cv::merge(eyes, in_mat);
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cv::Mat out_mat(sz, CV_8U);
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auto cc = c.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
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cc(in_mat, out_mat);
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//std::cout << out_mat << std::endl;
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// OpenCV reference
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cv::Mat ocv_ref = eyes[0]+eyes[1]+eyes[2];
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EXPECT_EQ(0, cvtest::norm(ocv_ref, out_mat, NORM_INF));
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}
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TEST(Fluid, MultipleReaders_SameLatency)
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{
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// in -> AddC -> a -> AddC -> b -> Add -> out
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// '--> AddC -> c -'
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//
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// b and c have the same skew
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cv::GMat in;
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cv::GMat a = TAddCSimple::on(in, 1); // FIXME - align naming (G, non-G)
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cv::GMat b = TAddCSimple::on(a, 2);
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cv::GMat c = TAddCSimple::on(a, 3);
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cv::GMat out = TAddSimple::on(b, c);
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cv::GComputation comp(in, out);
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const auto sz = cv::Size(32, 32);
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cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
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cv::Mat out_mat_gapi(sz, CV_8UC1);
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cv::Mat out_mat_ocv (sz, CV_8UC1);
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// Run G-API
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auto cc = comp.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
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cc(in_mat, out_mat_gapi);
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// Check with OpenCV
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cv::Mat tmp = in_mat + 1;
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out_mat_ocv = (tmp+2) + (tmp+3);
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EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF));
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}
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TEST(Fluid, MultipleReaders_DifferentLatency)
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{
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// in1 -> AddC -> a -> AddC -------------> b -> Add -> out
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// '--------------> Add --> c -'
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// '--> Id7x7-> d -'
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//
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// b and c have different skew (due to latency introduced by Id7x7)
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// a is ready by multiple views with different latency.
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cv::GMat in;
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cv::GMat a = TAddCSimple::on(in, 1); // FIXME - align naming (G, non-G)
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cv::GMat b = TAddCSimple::on(a, 2);
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cv::GMat d = TId7x7::on(a);
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cv::GMat c = TAddSimple::on(a, d);
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cv::GMat out = TAddSimple::on(b, c);
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cv::GComputation comp(in, out);
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const auto sz = cv::Size(32, 32);
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cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
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cv::Mat out_mat_gapi(sz, CV_8UC1);
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// Run G-API
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auto cc = comp.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
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cc(in_mat, out_mat_gapi);
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// Check with OpenCV
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cv::Mat ocv_a = in_mat + 1;
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cv::Mat ocv_b = ocv_a + 2;
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cv::Mat ocv_d = ocv_a;
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cv::Mat ocv_c = ocv_a + ocv_d;
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cv::Mat out_mat_ocv = ocv_b + ocv_c;
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF));
|
|
}
|
|
|
|
TEST(Fluid, MultipleOutputs)
|
|
{
|
|
// in -> AddC -> a -> AddC ------------------> out1
|
|
// `--> Id7x7 --> b --> AddC -> out2
|
|
|
|
cv::GMat in;
|
|
cv::GMat a = TAddCSimple::on(in, 1);
|
|
cv::GMat b = TId7x7::on(a);
|
|
cv::GMat out1 = TAddCSimple::on(a, 2);
|
|
cv::GMat out2 = TAddCSimple::on(b, 7);
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out1, out2));
|
|
|
|
const auto sz = cv::Size(32, 32);
|
|
cv::Mat in_mat = cv::Mat::eye(sz, CV_8UC1);
|
|
cv::Mat out_mat_gapi1(sz, CV_8UC1), out_mat_gapi2(sz, CV_8UC1);
|
|
cv::Mat out_mat_ocv1(sz, CV_8UC1), out_mat_ocv2(sz, CV_8UC1);
|
|
|
|
// Run G-API
|
|
auto cc = comp.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
|
|
cc(cv::gin(in_mat), cv::gout(out_mat_gapi1, out_mat_gapi2));
|
|
|
|
// Check with OpenCV
|
|
out_mat_ocv1 = in_mat + 1 + 2;
|
|
out_mat_ocv2 = in_mat + 1 + 7;
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_gapi1, out_mat_ocv1, NORM_INF));
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_gapi2, out_mat_ocv2, NORM_INF));
|
|
}
|
|
|
|
TEST(Fluid, EmptyOutputMatTest)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat out = TAddCSimple::on(in, 2);
|
|
cv::GComputation c(in, out);
|
|
|
|
cv::Mat in_mat = cv::Mat::eye(cv::Size(32, 24), CV_8UC1);
|
|
cv::Mat out_mat;
|
|
|
|
auto cc = c.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
|
|
|
|
cc(in_mat, out_mat);
|
|
EXPECT_EQ(CV_8UC1, out_mat.type());
|
|
EXPECT_EQ(32, out_mat.cols);
|
|
EXPECT_EQ(24, out_mat.rows);
|
|
EXPECT_TRUE(out_mat.ptr() != nullptr);
|
|
}
|
|
|
|
struct LPISequenceTest : public TestWithParam<int>{};
|
|
TEST_P(LPISequenceTest, LPISequenceTest)
|
|
{
|
|
// in -> AddC -> a -> Blur (2lpi) -> out
|
|
|
|
int kernelSize = GetParam();
|
|
cv::GMat in;
|
|
cv::GMat a = TAddCSimple::on(in, 1);
|
|
auto blur = kernelSize == 3 ? &TBlur3x3_2lpi::on : &TBlur5x5_2lpi::on;
|
|
cv::GMat out = blur(a, cv::BORDER_CONSTANT, cv::Scalar(0));
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
const auto sz = cv::Size(8, 10);
|
|
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);
|
|
|
|
// Run G-API
|
|
auto cc = comp.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage));
|
|
cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
|
|
|
|
// Check with OpenCV
|
|
cv::blur(in_mat + 1, out_mat_ocv, {kernelSize,kernelSize}, {-1,-1}, cv::BORDER_CONSTANT);
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Fluid, LPISequenceTest,
|
|
Values(3, 5));
|
|
|
|
struct InputImageBorderTest : public TestWithParam <std::tuple<int, int>> {};
|
|
TEST_P(InputImageBorderTest, InputImageBorderTest)
|
|
{
|
|
cv::Size sz_in = { 320, 240 };
|
|
|
|
int ks = 0;
|
|
int borderType = 0;
|
|
std::tie(ks, borderType) = GetParam();
|
|
cv::Mat in_mat1(sz_in, CV_8UC1);
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
|
|
cv::randn(in_mat1, mean, stddev);
|
|
|
|
cv::Size kernelSize = {ks, ks};
|
|
cv::Point anchor = {-1, -1};
|
|
cv::Scalar borderValue(0);
|
|
|
|
auto gblur = ks == 3 ? &TBlur3x3::on : &TBlur5x5::on;
|
|
|
|
GMat in;
|
|
auto out = gblur(in, borderType, borderValue);
|
|
|
|
Mat out_mat_gapi = Mat::zeros(sz_in, CV_8UC1);
|
|
|
|
GComputation c(GIn(in), GOut(out));
|
|
auto cc = c.compile(descr_of(in_mat1), cv::compile_args(fluidTestPackage));
|
|
cc(gin(in_mat1), gout(out_mat_gapi));
|
|
|
|
cv::Mat out_mat_ocv = Mat::zeros(sz_in, CV_8UC1);
|
|
cv::blur(in_mat1, out_mat_ocv, kernelSize, anchor, borderType);
|
|
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Fluid, InputImageBorderTest,
|
|
Combine(Values(3, 5),
|
|
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101)));
|
|
|
|
struct SequenceOfBlursTest : public TestWithParam <std::tuple<int>> {};
|
|
TEST_P(SequenceOfBlursTest, Test)
|
|
{
|
|
cv::Size sz_in = { 320, 240 };
|
|
|
|
int borderType = 0;;
|
|
std::tie(borderType) = GetParam();
|
|
cv::Mat in_mat(sz_in, CV_8UC1);
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
|
|
cv::randn(in_mat, mean, stddev);
|
|
|
|
cv::Point anchor = {-1, -1};
|
|
cv::Scalar borderValue(0);
|
|
|
|
GMat in;
|
|
auto mid = TBlur3x3::on(in, borderType, borderValue);
|
|
auto out = TBlur5x5::on(mid, borderType, borderValue);
|
|
|
|
Mat out_mat_gapi = Mat::zeros(sz_in, CV_8UC1);
|
|
|
|
GComputation c(GIn(in), GOut(out));
|
|
auto cc = c.compile(descr_of(in_mat), cv::compile_args(fluidTestPackage));
|
|
cc(gin(in_mat), gout(out_mat_gapi));
|
|
|
|
cv::Mat mid_mat_ocv = Mat::zeros(sz_in, CV_8UC1);
|
|
cv::Mat out_mat_ocv = Mat::zeros(sz_in, CV_8UC1);
|
|
cv::blur(in_mat, mid_mat_ocv, {3,3}, anchor, borderType);
|
|
cv::blur(mid_mat_ocv, out_mat_ocv, {5,5}, anchor, borderType);
|
|
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Fluid, SequenceOfBlursTest,
|
|
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101));
|
|
|
|
struct TwoBlursTest : public TestWithParam <std::tuple<int, int, int, int, int, int, bool>> {};
|
|
TEST_P(TwoBlursTest, Test)
|
|
{
|
|
cv::Size sz_in = { 320, 240 };
|
|
|
|
int kernelSize1 = 0, kernelSize2 = 0;
|
|
int borderType1 = -1, borderType2 = -1;
|
|
cv::Scalar borderValue1{}, borderValue2{};
|
|
bool readFromInput = false;
|
|
std::tie(kernelSize1, borderType1, borderValue1, kernelSize2, borderType2, borderValue2, readFromInput) = GetParam();
|
|
cv::Mat in_mat(sz_in, CV_8UC1);
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
|
|
cv::randn(in_mat, mean, stddev);
|
|
|
|
cv::Point anchor = {-1, -1};
|
|
|
|
auto blur1 = kernelSize1 == 3 ? &TBlur3x3::on : TBlur5x5::on;
|
|
auto blur2 = kernelSize2 == 3 ? &TBlur3x3::on : TBlur5x5::on;
|
|
|
|
GMat in, out1, out2;
|
|
if (readFromInput)
|
|
{
|
|
out1 = blur1(in, borderType1, borderValue1);
|
|
out2 = blur2(in, borderType2, borderValue2);
|
|
}
|
|
else
|
|
{
|
|
auto mid = TAddCSimple::on(in, 0);
|
|
out1 = blur1(mid, borderType1, borderValue1);
|
|
out2 = blur2(mid, borderType2, borderValue2);
|
|
}
|
|
|
|
Mat out_mat_gapi1 = Mat::zeros(sz_in, CV_8UC1);
|
|
Mat out_mat_gapi2 = Mat::zeros(sz_in, CV_8UC1);
|
|
|
|
GComputation c(GIn(in), GOut(out1, out2));
|
|
auto cc = c.compile(descr_of(in_mat), cv::compile_args(fluidTestPackage));
|
|
cc(gin(in_mat), gout(out_mat_gapi1, out_mat_gapi2));
|
|
|
|
cv::Mat out_mat_ocv1 = Mat::zeros(sz_in, CV_8UC1);
|
|
cv::Mat out_mat_ocv2 = Mat::zeros(sz_in, CV_8UC1);
|
|
cv::blur(in_mat, out_mat_ocv1, {kernelSize1, kernelSize1}, anchor, borderType1);
|
|
cv::blur(in_mat, out_mat_ocv2, {kernelSize2, kernelSize2}, anchor, borderType2);
|
|
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_ocv1, out_mat_gapi1, NORM_INF));
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_ocv2, out_mat_gapi2, NORM_INF));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Fluid, TwoBlursTest,
|
|
Combine(Values(3, 5),
|
|
Values(cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, cv::BORDER_REFLECT_101),
|
|
Values(0),
|
|
Values(3, 5),
|
|
Values(cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, cv::BORDER_REFLECT_101),
|
|
Values(0),
|
|
testing::Bool())); // Read from input directly or place a copy node at start
|
|
|
|
struct TwoReadersTest : public TestWithParam <std::tuple<int, int, int, bool>> {};
|
|
TEST_P(TwoReadersTest, Test)
|
|
{
|
|
cv::Size sz_in = { 320, 240 };
|
|
|
|
int kernelSize = 0;
|
|
int borderType = -1;
|
|
cv::Scalar borderValue;
|
|
bool readFromInput = false;
|
|
std::tie(kernelSize, borderType, borderValue, readFromInput) = GetParam();
|
|
cv::Mat in_mat(sz_in, CV_8UC1);
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
|
|
cv::randn(in_mat, mean, stddev);
|
|
|
|
cv::Point anchor = {-1, -1};
|
|
|
|
auto blur = kernelSize == 3 ? &TBlur3x3::on : TBlur5x5::on;
|
|
|
|
GMat in, out1, out2;
|
|
if (readFromInput)
|
|
{
|
|
out1 = TAddCSimple::on(in, 0);
|
|
out2 = blur(in, borderType, borderValue);
|
|
}
|
|
else
|
|
{
|
|
auto mid = TAddCSimple::on(in, 0);
|
|
out1 = TAddCSimple::on(mid, 0);
|
|
out2 = blur(mid, borderType, borderValue);
|
|
}
|
|
|
|
Mat out_mat_gapi1 = Mat::zeros(sz_in, CV_8UC1);
|
|
Mat out_mat_gapi2 = Mat::zeros(sz_in, CV_8UC1);
|
|
|
|
GComputation c(GIn(in), GOut(out1, out2));
|
|
auto cc = c.compile(descr_of(in_mat), cv::compile_args(fluidTestPackage));
|
|
cc(gin(in_mat), gout(out_mat_gapi1, out_mat_gapi2));
|
|
|
|
cv::Mat out_mat_ocv1 = Mat::zeros(sz_in, CV_8UC1);
|
|
cv::Mat out_mat_ocv2 = Mat::zeros(sz_in, CV_8UC1);
|
|
out_mat_ocv1 = in_mat;
|
|
cv::blur(in_mat, out_mat_ocv2, {kernelSize, kernelSize}, anchor, borderType);
|
|
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_ocv1, out_mat_gapi1, NORM_INF));
|
|
EXPECT_EQ(0, cvtest::norm(out_mat_ocv2, out_mat_gapi2, NORM_INF));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Fluid, TwoReadersTest,
|
|
Combine(Values(3, 5),
|
|
Values(cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, cv::BORDER_REFLECT_101),
|
|
Values(0),
|
|
testing::Bool())); // Read from input directly or place a copy node at start
|
|
|
|
TEST(FluidTwoIslands, SanityTest)
|
|
{
|
|
cv::Size sz_in{8,8};
|
|
|
|
GMat in1, in2;
|
|
auto out1 = TAddScalar::on(in1, {0});
|
|
auto out2 = TAddScalar::on(in2, {0});
|
|
|
|
cv::Mat in_mat1(sz_in, CV_8UC1);
|
|
cv::Mat in_mat2(sz_in, CV_8UC1);
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
|
|
cv::randn(in_mat1, mean, stddev);
|
|
cv::randn(in_mat2, mean, stddev);
|
|
|
|
Mat out_mat1 = Mat::zeros(sz_in, CV_8UC1);
|
|
Mat out_mat2 = Mat::zeros(sz_in, CV_8UC1);
|
|
|
|
GComputation c(GIn(in1, in2), GOut(out1, out2));
|
|
EXPECT_NO_THROW(c.apply(gin(in_mat1, in_mat2), gout(out_mat1, out_mat2), cv::compile_args(fluidTestPackage)));
|
|
EXPECT_EQ(0, cvtest::norm(in_mat1, out_mat1, NORM_INF));
|
|
EXPECT_EQ(0, cvtest::norm(in_mat2, out_mat2, NORM_INF));
|
|
}
|
|
|
|
struct NV12RoiTest : public TestWithParam <std::pair<cv::Size, cv::Rect>> {};
|
|
TEST_P(NV12RoiTest, Test)
|
|
{
|
|
cv::Size y_sz;
|
|
cv::Rect roi;
|
|
std::tie(y_sz, roi) = GetParam();
|
|
|
|
cv::Size uv_sz(y_sz.width / 2, y_sz.height / 2);
|
|
cv::Size in_sz(y_sz.width, y_sz.height*3/2);
|
|
|
|
cv::Mat in_mat = cv::Mat(in_sz, CV_8UC1);
|
|
|
|
cv::Scalar mean = cv::Scalar(127.0f);
|
|
cv::Scalar stddev = cv::Scalar(40.f);
|
|
cv::randn(in_mat, mean, stddev);
|
|
|
|
cv::Mat y_mat = cv::Mat(y_sz, CV_8UC1, in_mat.data);
|
|
cv::Mat uv_mat = cv::Mat(uv_sz, CV_8UC2, in_mat.data + in_mat.step1() * y_sz.height);
|
|
cv::Mat out_mat, out_mat_ocv;
|
|
|
|
cv::GMat y, uv;
|
|
auto rgb = cv::gapi::NV12toRGB(y, uv);
|
|
cv::GComputation c(cv::GIn(y, uv), cv::GOut(rgb));
|
|
|
|
c.apply(cv::gin(y_mat, uv_mat), cv::gout(out_mat), cv::compile_args(fluidTestPackage, cv::GFluidOutputRois{{roi}}));
|
|
|
|
cv::cvtColor(in_mat, out_mat_ocv, cv::COLOR_YUV2RGB_NV12);
|
|
|
|
EXPECT_EQ(0, cvtest::norm(out_mat(roi), out_mat_ocv(roi), NORM_INF));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Fluid, NV12RoiTest,
|
|
Values(std::make_pair(cv::Size{8, 8}, cv::Rect{0, 0, 8, 2})
|
|
,std::make_pair(cv::Size{8, 8}, cv::Rect{0, 2, 8, 2})
|
|
,std::make_pair(cv::Size{8, 8}, cv::Rect{0, 4, 8, 2})
|
|
,std::make_pair(cv::Size{8, 8}, cv::Rect{0, 6, 8, 2})
|
|
,std::make_pair(cv::Size{1920, 1080}, cv::Rect{0, 0, 1920, 270})
|
|
,std::make_pair(cv::Size{1920, 1080}, cv::Rect{0, 270, 1920, 270})
|
|
,std::make_pair(cv::Size{1920, 1080}, cv::Rect{0, 540, 1920, 270})
|
|
,std::make_pair(cv::Size{1920, 1080}, cv::Rect{0, 710, 1920, 270})
|
|
));
|
|
|
|
TEST(Fluid, UnusedNodeOutputCompileTest)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat a, b, c, d;
|
|
std::tie(a, b, c, d) = cv::gapi::split4(in);
|
|
cv::GMat out = cv::gapi::merge3(a, b, c);
|
|
|
|
cv::Mat in_mat(cv::Size(8, 8), CV_8UC4);
|
|
cv::Mat out_mat(cv::Size(8, 8), CV_8UC3);
|
|
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
ASSERT_NO_THROW(comp.apply(cv::gin(in_mat), cv::gout(out_mat),
|
|
cv::compile_args(cv::gapi::core::fluid::kernels())));
|
|
}
|
|
|
|
TEST(Fluid, UnusedNodeOutputReshapeTest)
|
|
{
|
|
const auto test_size = cv::Size(8, 8);
|
|
const auto get_compile_args =
|
|
[] () { return cv::compile_args(cv::gapi::core::fluid::kernels()); };
|
|
|
|
cv::GMat in;
|
|
cv::GMat a, b, c, d;
|
|
std::tie(a, b, c, d) = cv::gapi::split4(in);
|
|
cv::GMat out = cv::gapi::resize(cv::gapi::merge3(a, b, c), test_size, 0.0, 0.0,
|
|
cv::INTER_LINEAR);
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
cv::Mat in_mat(test_size, CV_8UC4);
|
|
cv::Mat out_mat(test_size, CV_8UC3);
|
|
|
|
cv::GCompiled compiled;
|
|
ASSERT_NO_THROW(compiled = comp.compile(descr_of(in_mat), get_compile_args()));
|
|
|
|
in_mat = cv::Mat(test_size * 2, CV_8UC4);
|
|
ASSERT_TRUE(compiled.canReshape());
|
|
ASSERT_NO_THROW(compiled.reshape(descr_of(gin(in_mat)), get_compile_args()));
|
|
ASSERT_NO_THROW(compiled(in_mat, out_mat));
|
|
}
|
|
|
|
TEST(Fluid, InvalidROIs)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat out = cv::gapi::add(in, in);
|
|
|
|
cv::Mat in_mat(cv::Size(8, 8), CV_8UC3);
|
|
cv::Mat out_mat = in_mat.clone();
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar::all(100));
|
|
|
|
std::vector<cv::Rect> invalid_rois =
|
|
{
|
|
cv::Rect(1, 0, 0, 0),
|
|
cv::Rect(0, 1, 0, 0),
|
|
cv::Rect(0, 0, 1, 0),
|
|
cv::Rect(0, 0, 0, 1),
|
|
cv::Rect(0, 0, out_mat.cols, 0),
|
|
cv::Rect(0, 0, 0, out_mat.rows),
|
|
cv::Rect(0, out_mat.rows, out_mat.cols, out_mat.rows),
|
|
cv::Rect(out_mat.cols, 0, out_mat.cols, out_mat.rows),
|
|
};
|
|
|
|
const auto compile_args = [] (cv::Rect roi) {
|
|
return cv::compile_args(cv::gapi::core::fluid::kernels(), GFluidOutputRois{{roi}});
|
|
};
|
|
|
|
for (const auto& roi : invalid_rois)
|
|
{
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
EXPECT_THROW(comp.apply(cv::gin(in_mat), cv::gout(out_mat), compile_args(roi)),
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|
std::exception);
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|
}
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|
}
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|
|
|
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|
namespace
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|
{
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|
#if defined(__linux__)
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uint64_t currMemoryConsumption()
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|
{
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|
// check self-state via /proc information
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|
constexpr const char stat_file_path[] = "/proc/self/statm";
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|
std::ifstream proc_stat(stat_file_path);
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|
if (!proc_stat.is_open() || !proc_stat.good())
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|
{
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|
CV_LOG_WARNING(NULL, "Failed to open stat file: " << stat_file_path);
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|
return static_cast<uint64_t>(0);
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|
}
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|
std::string stat_line;
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|
std::getline(proc_stat, stat_line);
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|
uint64_t unused, rss;
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|
// using resident set size
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|
std::istringstream(stat_line) >> unused >> rss;
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|
CV_Assert(rss != 0);
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|
return rss;
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|
}
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|
#else
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|
// FIXME: implement this part (at least for Windows?), right now it's enough to check Linux only
|
|
uint64_t currMemoryConsumption() { return static_cast<uint64_t>(0); }
|
|
#endif
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|
} // anonymous namespace
|
|
|
|
TEST(Fluid, MemoryConsumptionDoesNotGrowOnReshape)
|
|
{
|
|
cv::GMat in;
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|
cv::GMat a, b, c;
|
|
std::tie(a, b, c) = cv::gapi::split3(in);
|
|
cv::GMat merged = cv::gapi::merge4(a, b, c, a);
|
|
cv::GMat d, e, f, g;
|
|
std::tie(d, e, f, g) = cv::gapi::split4(merged);
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|
cv::GMat out = cv::gapi::merge3(d, e, f);
|
|
|
|
cv::Mat in_mat(cv::Size(8, 8), CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar::all(100));
|
|
cv::Mat out_mat;
|
|
|
|
const auto compile_args = [] () {
|
|
return cv::compile_args(cv::gapi::core::fluid::kernels());
|
|
};
|
|
|
|
cv::GCompiled compiled = cv::GComputation(cv::GIn(in), cv::GOut(out)).compile(
|
|
cv::descr_of(in_mat), compile_args());
|
|
ASSERT_TRUE(compiled.canReshape());
|
|
|
|
const auto mem_before = currMemoryConsumption();
|
|
for (int _ = 0; _ < 1000; ++_) compiled.reshape(cv::descr_of(cv::gin(in_mat)), compile_args());
|
|
const auto mem_after = currMemoryConsumption();
|
|
|
|
ASSERT_GE(mem_before, mem_after);
|
|
}
|
|
|
|
} // namespace opencv_test
|