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https://github.com/opencv/opencv.git
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a3e8c6e866
[G-API]: Add GOpaque and GArray serialization support * Add GOpaque and GArray serialization support * Address review comments * Remove holds() method * Address review comments * Remove comments * Align streaming with kind changes * Fix kind in kernel * Address review comments
488 lines
16 KiB
C++
488 lines
16 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) 2020 Intel Corporation
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#include "../test_precomp.hpp"
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#include <ade/util/iota_range.hpp>
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#include <opencv2/gapi/s11n.hpp>
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namespace opencv_test
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{
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TEST(S11N, Pipeline_Crop_Rect)
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{
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cv::Rect rect_to{ 4,10,37,50 };
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cv::Size sz_in = cv::Size(1920, 1080);
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cv::Size sz_out = cv::Size(37, 50);
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cv::Mat in_mat = cv::Mat::eye(sz_in, CV_8UC1);
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cv::Mat out_mat_gapi(sz_out, CV_8UC1);
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cv::Mat out_mat_ocv(sz_out, CV_8UC1);
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// G-API code //////////////////////////////////////////////////////////////
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cv::GMat in;
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auto out = cv::gapi::crop(in, rect_to);
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auto p = cv::gapi::serialize(cv::GComputation(in, out));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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c.apply(in_mat, out_mat_gapi);
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// OpenCV code /////////////////////////////////////////////////////////////
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{
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out_mat_ocv = in_mat(rect_to);
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}
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_EQ(0, cvtest::norm(out_mat_ocv, out_mat_gapi, NORM_INF));
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}
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}
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TEST(S11N, Pipeline_Canny_Bool)
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{
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const cv::Size sz_in(1280, 720);
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cv::GMat in;
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double thrLow = 120.0;
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double thrUp = 240.0;
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int apSize = 5;
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bool l2gr = true;
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cv::Mat in_mat = cv::Mat::eye(1280, 720, CV_8UC1);
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cv::Mat out_mat_gapi(sz_in, CV_8UC1);
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cv::Mat out_mat_ocv(sz_in, CV_8UC1);
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// G-API code //////////////////////////////////////////////////////////////
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auto out = cv::gapi::Canny(in, thrLow, thrUp, apSize, l2gr);
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auto p = cv::gapi::serialize(cv::GComputation(in, out));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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c.apply(in_mat, out_mat_gapi);
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// OpenCV code /////////////////////////////////////////////////////////////
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{
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cv::Canny(in_mat, out_mat_ocv, thrLow, thrUp, apSize, l2gr);
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}
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// Comparison //////////////////////////////////////////////////////////////
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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(S11N, Pipeline_Not)
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{
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cv::GMat in;
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auto p = cv::gapi::serialize(cv::GComputation(in, cv::gapi::bitwise_not(in)));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
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cv::Mat ref_mat = ~in_mat;
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cv::Mat out_mat;
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c.apply(in_mat, out_mat);
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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out_mat = cv::Mat();
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auto cc = c.compile(cv::descr_of(in_mat));
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cc(in_mat, out_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(S11N, Pipeline_Sum_Scalar)
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{
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cv::GMat in;
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auto p = cv::gapi::serialize(cv::GComputation(in, cv::gapi::sum(in)));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
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cv::Scalar ref_scl = cv::sum(in_mat);
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cv::Scalar out_scl;
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c.apply(in_mat, out_scl);
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EXPECT_EQ(out_scl, ref_scl);
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out_scl = cv::Scalar();
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auto cc = c.compile(cv::descr_of(in_mat));
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cc(in_mat, out_scl);
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EXPECT_EQ(out_scl, ref_scl);
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}
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TEST(S11N, Pipeline_BinaryOp)
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{
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cv::GMat a, b;
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auto p = cv::gapi::serialize(cv::GComputation(a, b, cv::gapi::add(a, b)));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
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cv::Mat ref_mat = (in_mat + in_mat);
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cv::Mat out_mat;
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c.apply(in_mat, in_mat, out_mat);
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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out_mat = cv::Mat();
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auto cc = c.compile(cv::descr_of(in_mat), cv::descr_of(in_mat));
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cc(in_mat, in_mat, out_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(S11N, Pipeline_Binary_Sum_Scalar)
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{
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cv::GMat a, b;
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auto p = cv::gapi::serialize(cv::GComputation(a, b, cv::gapi::sum(a + b)));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
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cv::Scalar ref_scl = cv::sum(in_mat + in_mat);
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cv::Scalar out_scl;
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c.apply(in_mat, in_mat, out_scl);
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EXPECT_EQ(out_scl, ref_scl);
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out_scl = cv::Scalar();
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auto cc = c.compile(cv::descr_of(in_mat), cv::descr_of(in_mat));
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cc(in_mat, in_mat, out_scl);
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EXPECT_EQ(out_scl, ref_scl);
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}
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TEST(S11N, Pipeline_Sharpen)
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{
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const cv::Size sz_in (1280, 720);
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const cv::Size sz_out( 640, 480);
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cv::Mat in_mat (sz_in, CV_8UC3);
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in_mat = cv::Scalar(128, 33, 53);
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cv::Mat out_mat(sz_out, CV_8UC3);
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cv::Mat out_mat_y;
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cv::Mat out_mat_ocv(sz_out, CV_8UC3);
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float sharpen_coeffs[] = {
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0.0f, -1.f, 0.0f,
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-1.0f, 5.f, -1.0f,
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0.0f, -1.f, 0.0f
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};
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cv::Mat sharpen_kernel(3, 3, CV_32F, sharpen_coeffs);
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// G-API code //////////////////////////////////////////////////////////////
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cv::GMat in;
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auto vga = cv::gapi::resize(in, sz_out);
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auto yuv = cv::gapi::RGB2YUV(vga);
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auto yuv_p = cv::gapi::split3(yuv);
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auto y_sharp = cv::gapi::filter2D(std::get<0>(yuv_p), -1, sharpen_kernel);
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auto yuv_new = cv::gapi::merge3(y_sharp, std::get<1>(yuv_p), std::get<2>(yuv_p));
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auto out = cv::gapi::YUV2RGB(yuv_new);
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auto p = cv::gapi::serialize(cv::GComputation(cv::GIn(in), cv::GOut(y_sharp, out)));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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c.apply(cv::gin(in_mat), cv::gout(out_mat_y, out_mat));
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// OpenCV code /////////////////////////////////////////////////////////////
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{
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cv::Mat smaller;
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cv::resize(in_mat, smaller, sz_out);
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cv::Mat yuv_mat;
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cv::cvtColor(smaller, yuv_mat, cv::COLOR_RGB2YUV);
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std::vector<cv::Mat> yuv_planar(3);
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cv::split(yuv_mat, yuv_planar);
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cv::filter2D(yuv_planar[0], yuv_planar[0], -1, sharpen_kernel);
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cv::merge(yuv_planar, yuv_mat);
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cv::cvtColor(yuv_mat, out_mat_ocv, cv::COLOR_YUV2RGB);
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}
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// Comparison //////////////////////////////////////////////////////////////
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{
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cv::Mat diff = out_mat_ocv != out_mat;
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std::vector<cv::Mat> diffBGR(3);
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cv::split(diff, diffBGR);
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EXPECT_EQ(0, cvtest::norm(diffBGR[0], NORM_INF));
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EXPECT_EQ(0, cvtest::norm(diffBGR[1], NORM_INF));
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EXPECT_EQ(0, cvtest::norm(diffBGR[2], NORM_INF));
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}
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// Metadata check /////////////////////////////////////////////////////////
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{
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auto cc = c.compile(cv::descr_of(in_mat));
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auto metas = cc.outMetas();
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ASSERT_EQ(2u, metas.size());
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auto out_y_meta = cv::util::get<cv::GMatDesc>(metas[0]);
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auto out_meta = cv::util::get<cv::GMatDesc>(metas[1]);
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// Y-output
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EXPECT_EQ(CV_8U, out_y_meta.depth);
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EXPECT_EQ(1, out_y_meta.chan);
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EXPECT_EQ(640, out_y_meta.size.width);
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EXPECT_EQ(480, out_y_meta.size.height);
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// Final output
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EXPECT_EQ(CV_8U, out_meta.depth);
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EXPECT_EQ(3, out_meta.chan);
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EXPECT_EQ(640, out_meta.size.width);
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EXPECT_EQ(480, out_meta.size.height);
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}
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}
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TEST(S11N, Pipeline_CustomRGB2YUV)
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{
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const cv::Size sz(1280, 720);
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const int INS = 3;
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std::vector<cv::Mat> in_mats(INS);
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for (auto i : ade::util::iota(INS))
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{
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in_mats[i].create(sz, CV_8U);
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cv::randu(in_mats[i], cv::Scalar::all(0), cv::Scalar::all(255));
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}
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const int OUTS = 3;
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std::vector<cv::Mat> out_mats_cv(OUTS);
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std::vector<cv::Mat> out_mats_gapi(OUTS);
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for (auto i : ade::util::iota(OUTS))
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{
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out_mats_cv[i].create(sz, CV_8U);
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out_mats_gapi[i].create(sz, CV_8U);
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}
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// G-API code //////////////////////////////////////////////////////////////
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{
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cv::GMat r, g, b;
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cv::GMat y = 0.299f*r + 0.587f*g + 0.114f*b;
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cv::GMat u = 0.492f*(b - y);
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cv::GMat v = 0.877f*(r - y);
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auto p = cv::gapi::serialize(cv::GComputation({r, g, b}, {y, u, v}));
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auto c = cv::gapi::deserialize<cv::GComputation>(p);
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c.apply(in_mats, out_mats_gapi);
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}
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// OpenCV code /////////////////////////////////////////////////////////////
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{
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cv::Mat r = in_mats[0], g = in_mats[1], b = in_mats[2];
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cv::Mat y = 0.299f*r + 0.587f*g + 0.114f*b;
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cv::Mat u = 0.492f*(b - y);
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cv::Mat v = 0.877f*(r - y);
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out_mats_cv[0] = y;
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out_mats_cv[1] = u;
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out_mats_cv[2] = v;
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}
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// Comparison //////////////////////////////////////////////////////////////
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{
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const auto diff = [](cv::Mat m1, cv::Mat m2, int t) {
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return cv::abs(m1 - m2) > t;
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};
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// FIXME: Not bit-accurate even now!
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cv::Mat
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diff_y = diff(out_mats_cv[0], out_mats_gapi[0], 2),
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diff_u = diff(out_mats_cv[1], out_mats_gapi[1], 2),
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diff_v = diff(out_mats_cv[2], out_mats_gapi[2], 2);
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EXPECT_EQ(0, cvtest::norm(diff_y, NORM_INF));
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EXPECT_EQ(0, cvtest::norm(diff_u, NORM_INF));
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EXPECT_EQ(0, cvtest::norm(diff_v, NORM_INF));
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}
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}
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namespace ThisTest
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{
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using GOpBool = GOpaque<bool>;
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using GOpInt = GOpaque<int>;
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using GOpDouble = GOpaque<double>;
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using GOpPoint = GOpaque<cv::Point>;
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using GOpSize = GOpaque<cv::Size>;
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using GOpRect = GOpaque<cv::Rect>;
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using GOpOut = std::tuple<GOpPoint, GOpSize, GOpRect>;
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G_TYPED_KERNEL_M(OpGenerate, <GOpOut(GOpBool, GOpInt, GOpDouble)>, "test.s11n.gopaque")
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{
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static std::tuple<GOpaqueDesc, GOpaqueDesc, GOpaqueDesc> outMeta(const GOpaqueDesc&, const GOpaqueDesc&, const GOpaqueDesc&) {
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return std::make_tuple(empty_gopaque_desc(), empty_gopaque_desc(), empty_gopaque_desc());
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}
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};
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GAPI_OCV_KERNEL(OCVOpGenerate, OpGenerate)
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{
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static void run(const bool& b, const int& i, const double& d,
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cv::Point& p, cv::Size& s, cv::Rect& r)
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{
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p = cv::Point(i, i*2);
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s = b ? cv::Size(42, 42) : cv::Size(7, 7);
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int ii = static_cast<int>(d);
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r = cv::Rect(ii, ii, ii, ii);
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}
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};
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using GArrInt = GArray<int>;
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using GArrDouble = GArray<double>;
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using GArrPoint = GArray<cv::Point>;
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using GArrSize = GArray<cv::Size>;
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using GArrRect = GArray<cv::Rect>;
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using GArrMat = GArray<cv::Mat>;
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using GArrScalar = GArray<cv::Scalar>;
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using GArrOut = std::tuple<GArrPoint, GArrSize, GArrRect, GArrMat>;
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G_TYPED_KERNEL_M(ArrGenerate, <GArrOut(GArrInt, GArrInt, GArrDouble, GArrScalar)>, "test.s11n.garray")
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{
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static std::tuple<GArrayDesc, GArrayDesc, GArrayDesc, GArrayDesc> outMeta(const GArrayDesc&, const GArrayDesc&,
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const GArrayDesc&, const GArrayDesc&) {
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return std::make_tuple(empty_array_desc(), empty_array_desc(), empty_array_desc(), empty_array_desc());
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}
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};
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GAPI_OCV_KERNEL(OCVArrGenerate, ArrGenerate)
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{
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static void run(const std::vector<int>& b, const std::vector<int>& i,
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const std::vector<double>& d, const std::vector<cv::Scalar>& sc,
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std::vector<cv::Point>& p, std::vector<cv::Size>& s,
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std::vector<cv::Rect>& r, std::vector<cv::Mat>& m)
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{
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p.clear(); p.resize(b.size());
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s.clear(); s.resize(b.size());
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r.clear(); r.resize(b.size());
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m.clear(); m.resize(b.size());
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for (std::size_t idx = 0; idx < b.size(); ++idx)
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{
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p[idx] = cv::Point(i[idx], i[idx]*2);
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s[idx] = b[idx] == 1 ? cv::Size(42, 42) : cv::Size(7, 7);
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int ii = static_cast<int>(d[idx]);
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r[idx] = cv::Rect(ii, ii, ii, ii);
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m[idx] = cv::Mat(3, 3, CV_8UC1, sc[idx]);
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}
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}
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};
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G_TYPED_KERNEL_M(OpArrK1, <std::tuple<GArrInt,GOpSize>(GOpInt, GArrSize)>, "test.s11n.oparrk1")
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{
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static std::tuple<GArrayDesc, GOpaqueDesc> outMeta(const GOpaqueDesc&, const GArrayDesc&) {
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return std::make_tuple(empty_array_desc(), empty_gopaque_desc());
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}
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};
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GAPI_OCV_KERNEL(OCVOpArrK1, OpArrK1)
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{
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static void run(const int& i, const std::vector<cv::Size>& vs,
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std::vector<int>& vi, cv::Size& s)
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{
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vi.clear(); vi.resize(vs.size());
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s = cv::Size(i, i);
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for (std::size_t idx = 0; idx < vs.size(); ++ idx)
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vi[idx] = vs[idx].area();
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}
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};
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G_TYPED_KERNEL_M(OpArrK2, <std::tuple<GOpDouble,GArrPoint>(GArrInt, GOpSize)>, "test.s11n.oparrk2")
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{
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static std::tuple<GOpaqueDesc, GArrayDesc> outMeta(const GArrayDesc&, const GOpaqueDesc&) {
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return std::make_tuple(empty_gopaque_desc(), empty_array_desc());
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}
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};
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GAPI_OCV_KERNEL(OCVOpArrK2, OpArrK2)
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{
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static void run(const std::vector<int>& vi, const cv::Size& s,
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double& d, std::vector<cv::Point>& vp)
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{
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vp.clear(); vp.resize(vi.size());
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d = s.area() * 1.5;
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for (std::size_t idx = 0; idx < vi.size(); ++ idx)
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vp[idx] = cv::Point(vi[idx], vi[idx]);
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}
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};
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} // namespace ThisTest
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TEST(S11N, Pipeline_GOpaque)
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{
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using namespace ThisTest;
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GOpBool in1;
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GOpInt in2;
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GOpDouble in3;
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auto out = OpGenerate::on(in1, in2, in3);
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cv::GComputation c(cv::GIn(in1, in2, in3), cv::GOut(std::get<0>(out), std::get<1>(out), std::get<2>(out)));
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auto p = cv::gapi::serialize(c);
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auto dc = cv::gapi::deserialize<cv::GComputation>(p);
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bool b = true;
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int i = 33;
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double d = 128.7;
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cv::Point pp;
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cv::Size s;
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cv::Rect r;
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dc.apply(cv::gin(b, i, d), cv::gout(pp, s, r), cv::compile_args(cv::gapi::kernels<OCVOpGenerate>()));
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EXPECT_EQ(pp, cv::Point(i, i*2));
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EXPECT_EQ(s, cv::Size(42, 42));
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int ii = static_cast<int>(d);
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EXPECT_EQ(r, cv::Rect(ii, ii, ii, ii));
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}
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TEST(S11N, Pipeline_GArray)
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{
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using namespace ThisTest;
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GArrInt in1, in2;
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GArrDouble in3;
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GArrScalar in4;
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auto out = ArrGenerate::on(in1, in2, in3, in4);
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cv::GComputation c(cv::GIn(in1, in2, in3, in4),
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cv::GOut(std::get<0>(out), std::get<1>(out),
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std::get<2>(out), std::get<3>(out)));
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auto p = cv::gapi::serialize(c);
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auto dc = cv::gapi::deserialize<cv::GComputation>(p);
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std::vector<int> b {1, 0, -1};
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std::vector<int> i {3, 0 , 59};
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std::vector<double> d {0.7, 120.5, 44.14};
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std::vector<cv::Scalar> sc {cv::Scalar::all(10), cv::Scalar::all(15), cv::Scalar::all(99)};
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std::vector<cv::Point> pp;
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std::vector<cv::Size> s;
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std::vector<cv::Rect> r;
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std::vector<cv::Mat> m;
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dc.apply(cv::gin(b, i, d, sc), cv::gout(pp, s, r, m), cv::compile_args(cv::gapi::kernels<OCVArrGenerate>()));
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for (std::size_t idx = 0; idx < b.size(); ++idx)
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{
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EXPECT_EQ(pp[idx], cv::Point(i[idx], i[idx]*2));
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EXPECT_EQ(s[idx], b[idx] == 1 ? cv::Size(42, 42) : cv::Size(7, 7));
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int ii = static_cast<int>(d[idx]);
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EXPECT_EQ(r[idx], cv::Rect(ii, ii, ii, ii));
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}
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}
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TEST(S11N, Pipeline_GArray_GOpaque_Multinode)
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{
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using namespace ThisTest;
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GOpInt in1;
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GArrSize in2;
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auto tmp = OpArrK1::on(in1, in2);
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auto out = OpArrK2::on(std::get<0>(tmp), std::get<1>(tmp));
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cv::GComputation c(cv::GIn(in1, in2),
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cv::GOut(std::get<0>(out), std::get<1>(out)));
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auto p = cv::gapi::serialize(c);
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auto dc = cv::gapi::deserialize<cv::GComputation>(p);
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int i = 42;
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std::vector<cv::Size> s{cv::Size(11, 22), cv::Size(13, 18)};
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double d;
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std::vector<cv::Point> pp;
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dc.apply(cv::gin(i, s), cv::gout(d, pp), cv::compile_args(cv::gapi::kernels<OCVOpArrK1, OCVOpArrK2>()));
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auto st = cv::Size(i ,i);
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EXPECT_EQ(d, st.area() * 1.5);
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for (std::size_t idx = 0; idx < s.size(); ++idx)
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{
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EXPECT_EQ(pp[idx], cv::Point(s[idx].area(), s[idx].area()));
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}
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}
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} // namespace opencv_test
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