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aa133cd899
Fix typos #26038 Fix typos ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
2687 lines
83 KiB
C++
2687 lines
83 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) 2019-2021 Intel Corporation
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#include "../test_precomp.hpp"
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#include "../common/gapi_streaming_tests_common.hpp"
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#include <thread> // sleep_for (Delay)
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#include <opencv2/gapi/cpu/core.hpp>
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#include <opencv2/gapi/cpu/imgproc.hpp>
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#include <opencv2/gapi/fluid/core.hpp>
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#include <opencv2/gapi/fluid/imgproc.hpp>
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#include <opencv2/gapi/fluid/gfluidkernel.hpp>
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#include <opencv2/gapi/ocl/core.hpp>
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#include <opencv2/gapi/ocl/imgproc.hpp>
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#include <opencv2/gapi/streaming/cap.hpp>
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#include <opencv2/gapi/streaming/desync.hpp>
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#include <opencv2/gapi/streaming/format.hpp>
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#include <opencv2/gapi/gstreaming.hpp>
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namespace opencv_test
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{
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namespace
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{
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enum class KernelPackage: int
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{
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OCV,
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OCV_FLUID,
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OCL,
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OCL_FLUID,
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};
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std::ostream& operator<< (std::ostream &os, const KernelPackage &e)
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{
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switch (e)
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{
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#define _C(X) case KernelPackage::X: os << #X; break
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_C(OCV);
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_C(OCV_FLUID);
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_C(OCL);
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_C(OCL_FLUID);
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#undef _C
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default: GAPI_Error("InternalError");
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}
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return os;
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}
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struct GAPI_Streaming: public ::testing::TestWithParam<std::tuple<KernelPackage,
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cv::optional<size_t>>> {
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GAPI_Streaming() {
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KernelPackage pkg_kind;
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std::tie(pkg_kind, cap) = GetParam();
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pkg = getKernelPackage(pkg_kind);
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}
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const cv::optional<size_t>& getQueueCapacity()
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{
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return cap;
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}
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cv::GKernelPackage getKernelPackage(KernelPackage pkg_kind)
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{
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using namespace cv::gapi;
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switch (pkg_kind)
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{
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case KernelPackage::OCV:
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return cv::gapi::combine(core::cpu::kernels(),
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imgproc::cpu::kernels());
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break;
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case KernelPackage::OCV_FLUID:
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return cv::gapi::combine(core::cpu::kernels(),
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imgproc::cpu::kernels(),
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core::fluid::kernels());
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break;
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// FIXME: OpenCL backend seem to work fine with Streaming
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// however the results are not very bit exact with CPU
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// It may be a problem but may be just implementation innacuracy.
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// Need to customize the comparison function in tests where OpenCL
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// is involved.
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case KernelPackage::OCL:
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return cv::gapi::combine(core::ocl::kernels(),
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imgproc::ocl::kernels());
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break;
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case KernelPackage::OCL_FLUID:
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return cv::gapi::combine(core::ocl::kernels(),
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imgproc::ocl::kernels(),
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core::fluid::kernels());
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break;
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}
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throw std::logic_error("Unknown package");
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}
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cv::GCompileArgs getCompileArgs() {
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using namespace cv::gapi;
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auto args = cv::compile_args(use_only{pkg});
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if (cap) {
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args += cv::compile_args(cv::gapi::streaming::queue_capacity{cap.value()});
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}
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return args;
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}
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cv::GKernelPackage pkg;
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cv::optional<size_t> cap;
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};
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G_API_OP(Delay, <cv::GMat(cv::GMat, int)>, "org.opencv.test.delay") {
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static cv::GMatDesc outMeta(const cv::GMatDesc &in, int) { return in; }
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};
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GAPI_OCV_KERNEL(OCVDelay, Delay) {
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static void run(const cv::Mat &in, int ms, cv::Mat &out) {
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std::this_thread::sleep_for(std::chrono::milliseconds{ms});
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in.copyTo(out);
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}
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};
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class TestMediaBGR final: public cv::MediaFrame::IAdapter {
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cv::Mat m_mat;
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using Cb = cv::MediaFrame::View::Callback;
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Cb m_cb;
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public:
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explicit TestMediaBGR(cv::Mat m, Cb cb = [](){})
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: m_mat(m), m_cb(cb) {
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}
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cv::GFrameDesc meta() const override {
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return cv::GFrameDesc{cv::MediaFormat::BGR, cv::Size(m_mat.cols, m_mat.rows)};
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}
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cv::MediaFrame::View access(cv::MediaFrame::Access) override {
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cv::MediaFrame::View::Ptrs pp = { m_mat.ptr(), nullptr, nullptr, nullptr };
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cv::MediaFrame::View::Strides ss = { m_mat.step, 0u, 0u, 0u };
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return cv::MediaFrame::View(std::move(pp), std::move(ss), Cb{m_cb});
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}
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};
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class TestMediaNV12 final: public cv::MediaFrame::IAdapter {
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cv::Mat m_y;
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cv::Mat m_uv;
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public:
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TestMediaNV12(cv::Mat y, cv::Mat uv) : m_y(y), m_uv(uv) {
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}
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cv::GFrameDesc meta() const override {
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return cv::GFrameDesc{cv::MediaFormat::NV12, m_y.size()};
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}
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cv::MediaFrame::View access(cv::MediaFrame::Access) override {
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cv::MediaFrame::View::Ptrs pp = {
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m_y.ptr(), m_uv.ptr(), nullptr, nullptr
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};
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cv::MediaFrame::View::Strides ss = {
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m_y.step, m_uv.step, 0u, 0u
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};
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return cv::MediaFrame::View(std::move(pp), std::move(ss));
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}
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};
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class TestMediaGRAY final : public cv::MediaFrame::IAdapter {
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cv::Mat m_mat;
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using Cb = cv::MediaFrame::View::Callback;
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Cb m_cb;
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public:
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explicit TestMediaGRAY(cv::Mat m, Cb cb = []() {})
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: m_mat(m), m_cb(cb) {
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}
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cv::GFrameDesc meta() const override {
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return cv::GFrameDesc{ cv::MediaFormat::GRAY, cv::Size(m_mat.cols, m_mat.rows) };
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}
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cv::MediaFrame::View access(cv::MediaFrame::Access) override {
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cv::MediaFrame::View::Ptrs pp = { m_mat.ptr(), nullptr, nullptr, nullptr };
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cv::MediaFrame::View::Strides ss = { m_mat.step, 0u, 0u, 0u };
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return cv::MediaFrame::View(std::move(pp), std::move(ss), Cb{ m_cb });
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}
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};
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class BGRSource : public cv::gapi::wip::GCaptureSource {
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public:
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explicit BGRSource(const std::string& pipeline)
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: cv::gapi::wip::GCaptureSource(pipeline) {
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}
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bool pull(cv::gapi::wip::Data& data) override {
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if (cv::gapi::wip::GCaptureSource::pull(data)) {
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data = cv::MediaFrame::Create<TestMediaBGR>(cv::util::get<cv::Mat>(data));
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return true;
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}
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return false;
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}
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GMetaArg descr_of() const override {
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return cv::GMetaArg{cv::GFrameDesc{cv::MediaFormat::BGR,
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cv::util::get<cv::GMatDesc>(
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cv::gapi::wip::GCaptureSource::descr_of()).size}};
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}
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};
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void cvtBGR2NV12(const cv::Mat& bgr, cv::Mat& y, cv::Mat& uv) {
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cv::Size frame_sz = bgr.size();
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cv::Size half_sz = frame_sz / 2;
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cv::Mat yuv;
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cv::cvtColor(bgr, yuv, cv::COLOR_BGR2YUV_I420);
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// Copy Y plane
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yuv.rowRange(0, frame_sz.height).copyTo(y);
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// Merge sampled U and V planes
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std::vector<int> dims = {half_sz.height, half_sz.width};
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auto start = frame_sz.height;
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auto range_h = half_sz.height/2;
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std::vector<cv::Mat> uv_planes = {
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yuv.rowRange(start, start + range_h) .reshape(0, dims),
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yuv.rowRange(start + range_h, start + range_h*2).reshape(0, dims)
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};
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cv::merge(uv_planes, uv);
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}
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class NV12Source : public cv::gapi::wip::GCaptureSource {
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public:
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explicit NV12Source(const std::string& pipeline)
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: cv::gapi::wip::GCaptureSource(pipeline) {
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}
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bool pull(cv::gapi::wip::Data& data) override {
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if (cv::gapi::wip::GCaptureSource::pull(data)) {
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cv::Mat bgr = cv::util::get<cv::Mat>(data);
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cv::Mat y, uv;
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cvtBGR2NV12(bgr, y, uv);
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data = cv::MediaFrame::Create<TestMediaNV12>(y, uv);
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return true;
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}
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return false;
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}
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GMetaArg descr_of() const override {
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return cv::GMetaArg{cv::GFrameDesc{cv::MediaFormat::NV12,
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cv::util::get<cv::GMatDesc>(
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cv::gapi::wip::GCaptureSource::descr_of()).size}};
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}
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};
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class GRAYSource : public cv::gapi::wip::GCaptureSource {
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public:
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explicit GRAYSource(const std::string& pipeline)
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: cv::gapi::wip::GCaptureSource(pipeline) {
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}
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bool pull(cv::gapi::wip::Data& data) override {
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if (cv::gapi::wip::GCaptureSource::pull(data)) {
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cv::Mat bgr = cv::util::get<cv::Mat>(data);
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cv::Mat gray;
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cvtColor(bgr, gray, cv::COLOR_BGR2GRAY);
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data = cv::MediaFrame::Create<TestMediaGRAY>(gray);
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return true;
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}
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return false;
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}
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GMetaArg descr_of() const override {
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return cv::GMetaArg{ cv::GFrameDesc{cv::MediaFormat::GRAY,
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cv::util::get<cv::GMatDesc>(
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cv::gapi::wip::GCaptureSource::descr_of()).size} };
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}
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};
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void checkPullOverload(const cv::Mat& ref,
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const bool has_output,
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cv::util::variant<cv::GRunArgs, cv::GOptRunArgs>& args) {
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EXPECT_TRUE(has_output);
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using runArgs = cv::util::variant<cv::GRunArgs, cv::GOptRunArgs>;
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cv::Mat out_mat;
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switch (args.index()) {
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case runArgs::index_of<cv::GRunArgs>():
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{
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auto outputs = util::get<cv::GRunArgs>(args);
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EXPECT_EQ(1u, outputs.size());
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out_mat = cv::util::get<cv::Mat>(outputs[0]);
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break;
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}
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case runArgs::index_of<cv::GOptRunArgs>():
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{
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auto outputs = util::get<cv::GOptRunArgs>(args);
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EXPECT_EQ(1u, outputs.size());
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auto opt_mat = cv::util::get<cv::optional<cv::Mat>>(outputs[0]);
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ASSERT_TRUE(opt_mat.has_value());
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out_mat = *opt_mat;
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break;
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}
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default: GAPI_Error("Incorrect type of Args");
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}
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EXPECT_EQ(0., cv::norm(ref, out_mat, cv::NORM_INF));
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}
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class InvalidSource : public cv::gapi::wip::IStreamSource {
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public:
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InvalidSource(const size_t throw_every_nth_frame,
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const size_t num_frames)
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: m_throw_every_nth_frame(throw_every_nth_frame),
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m_curr_frame_id(0u),
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m_num_frames(num_frames),
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m_mat(1, 1, CV_8U) {
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}
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static std::string exception_msg()
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{
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return "InvalidSource successfully failed!";
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}
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bool pull(cv::gapi::wip::Data& d) override {
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++m_curr_frame_id;
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if (m_curr_frame_id > m_num_frames) {
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return false;
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}
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if (m_curr_frame_id % m_throw_every_nth_frame == 0) {
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throw std::logic_error(InvalidSource::exception_msg());
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return true;
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} else {
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d = cv::Mat(m_mat);
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}
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return true;
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}
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cv::GMetaArg descr_of() const override {
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return cv::GMetaArg{cv::descr_of(m_mat)};
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}
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private:
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size_t m_throw_every_nth_frame;
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size_t m_curr_frame_id;
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size_t m_num_frames;
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cv::Mat m_mat;
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};
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G_TYPED_KERNEL(GThrowExceptionOp, <GMat(GMat)>, "org.opencv.test.throw_error_op")
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{
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static GMatDesc outMeta(GMatDesc in) { return in; }
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};
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GAPI_OCV_KERNEL(GThrowExceptionKernel, GThrowExceptionOp)
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{
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static std::string exception_msg()
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{
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return "GThrowExceptionKernel successfully failed";
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}
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static void run(const cv::Mat&, cv::Mat&)
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{
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throw std::logic_error(GThrowExceptionKernel::exception_msg());
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}
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};
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} // anonymous namespace
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TEST_P(GAPI_Streaming, SmokeTest_ConstInput_GMat)
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{
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// This graph models the following use-case:
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// Canny here is used as some "feature detector"
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//
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// Island/device layout may be different given the contents
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// of the passed kernel package.
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//
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// The expectation is that we get as much islands in the
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// graph as backends the GKernelPackage contains.
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//
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// [Capture] --> Crop --> Resize --> Canny --> [out]
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const auto crop_rc = cv::Rect(13, 75, 377, 269);
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const auto resample_sz = cv::Size(224, 224);
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const auto thr_lo = 64.;
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const auto thr_hi = 192.;
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cv::GMat in;
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auto roi = cv::gapi::crop(in, crop_rc);
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auto res = cv::gapi::resize(roi, resample_sz);
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auto out = cv::gapi::Canny(res, thr_lo, thr_hi);
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cv::GComputation c(in, out);
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// Input data
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cv::Mat in_mat = cv::imread(findDataFile("cv/edgefilter/kodim23.png"));
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cv::Mat out_mat_gapi;
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// OpenCV reference image
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cv::Mat out_mat_ocv;
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{
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cv::Mat tmp;
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cv::resize(in_mat(crop_rc), tmp, resample_sz);
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cv::Canny(tmp, out_mat_ocv, thr_lo, thr_hi);
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}
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// Compilation & testing
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auto ccomp = c.compileStreaming(cv::descr_of(in_mat), getCompileArgs());
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EXPECT_TRUE(ccomp);
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EXPECT_FALSE(ccomp.running());
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ccomp.setSource(cv::gin(in_mat));
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ccomp.start();
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EXPECT_TRUE(ccomp.running());
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// Fetch the result 15 times
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for (int i = 0; i < 15; i++) {
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// With constant inputs, the stream is endless so
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// the blocking pull() should never return `false`.
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EXPECT_TRUE(ccomp.pull(cv::gout(out_mat_gapi)));
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// Fluid's and OpenCV's Resizes aren't bit exact.
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// So 1% is here because it is max difference between them.
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EXPECT_TRUE(AbsSimilarPoints(0, 1).to_compare_f()(out_mat_gapi, out_mat_ocv));
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}
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EXPECT_TRUE(ccomp.running());
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ccomp.stop();
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EXPECT_FALSE(ccomp.running());
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}
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TEST_P(GAPI_Streaming, SmokeTest_VideoInput_GMat)
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{
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const auto crop_rc = cv::Rect(13, 75, 377, 269);
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const auto resample_sz = cv::Size(224, 224);
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const auto thr_lo = 64.;
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const auto thr_hi = 192.;
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cv::GMat in;
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auto roi = cv::gapi::crop(in, crop_rc);
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auto res = cv::gapi::resize(roi, resample_sz);
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auto out = cv::gapi::Canny(res, thr_lo, thr_hi);
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cv::GComputation c(cv::GIn(in), cv::GOut(cv::gapi::copy(in), out));
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// OpenCV reference image code
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auto opencv_ref = [&](const cv::Mat &in_mat, cv::Mat &out_mat) {
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cv::Mat tmp;
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cv::resize(in_mat(crop_rc), tmp, resample_sz);
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cv::Canny(tmp, out_mat, thr_lo, thr_hi);
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};
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// Compilation & testing
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auto ccomp = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
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getCompileArgs());
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EXPECT_TRUE(ccomp);
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EXPECT_FALSE(ccomp.running());
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auto path = findDataFile("cv/video/768x576.avi");
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try {
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ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
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} catch(...) {
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throw SkipTestException("Video file can not be opened");
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}
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ccomp.start();
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EXPECT_TRUE(ccomp.running());
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// Process the full video
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cv::Mat in_mat_gapi, out_mat_gapi;
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std::size_t frames = 0u;
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while (ccomp.pull(cv::gout(in_mat_gapi, out_mat_gapi))) {
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frames++;
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cv::Mat out_mat_ocv;
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opencv_ref(in_mat_gapi, out_mat_ocv);
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// Fluid's and OpenCV's Resizes aren't bit exact.
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// So 1% is here because it is max difference between them.
|
|
EXPECT_TRUE(AbsSimilarPoints(0, 1).to_compare_f()(out_mat_gapi, out_mat_ocv));
|
|
}
|
|
EXPECT_LT(0u, frames);
|
|
EXPECT_FALSE(ccomp.running());
|
|
|
|
// Stop can be called at any time (even if the pipeline is not running)
|
|
ccomp.stop();
|
|
|
|
EXPECT_FALSE(ccomp.running());
|
|
}
|
|
|
|
TEST_P(GAPI_Streaming, Regression_CompileTimeScalar)
|
|
{
|
|
// There was a bug with compile-time GScalars. Compile-time
|
|
// GScalars generate their own DATA nodes at GModel/GIslandModel
|
|
// level, resulting in an extra link at the GIslandModel level, so
|
|
// GStreamingExecutor automatically assigned an input queue to
|
|
// such edges. Since there were no in-graph producer for that
|
|
// data, no data were pushed to such queue what lead to a
|
|
// deadlock.
|
|
|
|
cv::GMat in;
|
|
cv::GMat tmp = cv::gapi::copy(in);
|
|
for (int i = 0; i < 3; i++) {
|
|
tmp = tmp & cv::gapi::blur(in, cv::Size(3,3));
|
|
}
|
|
cv::GComputation c(cv::GIn(in), cv::GOut(tmp, tmp + 1));
|
|
|
|
auto ccomp = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,512}},
|
|
getCompileArgs());
|
|
|
|
cv::Mat in_mat = cv::imread(findDataFile("cv/edgefilter/kodim23.png"));
|
|
cv::Mat out_mat1, out_mat2;
|
|
|
|
// Fetch the result 15 times
|
|
ccomp.setSource(cv::gin(in_mat));
|
|
ccomp.start();
|
|
for (int i = 0; i < 15; i++) {
|
|
EXPECT_TRUE(ccomp.pull(cv::gout(out_mat1, out_mat2)));
|
|
}
|
|
|
|
ccomp.stop();
|
|
}
|
|
|
|
TEST_P(GAPI_Streaming, SmokeTest_StartRestart)
|
|
{
|
|
cv::GMat in;
|
|
auto res = cv::gapi::resize(in, cv::Size{300,200});
|
|
auto out = cv::gapi::Canny(res, 95, 220);
|
|
cv::GComputation c(cv::GIn(in), cv::GOut(cv::gapi::copy(in), out));
|
|
|
|
auto ccomp = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
|
|
getCompileArgs());
|
|
EXPECT_TRUE(ccomp);
|
|
EXPECT_FALSE(ccomp.running());
|
|
|
|
// Run 1
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
std::size_t num_frames1 = 0u;
|
|
try {
|
|
ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
ccomp.start();
|
|
EXPECT_TRUE(ccomp.running());
|
|
|
|
cv::Mat out1, out2;
|
|
while (ccomp.pull(cv::gout(out1, out2))) num_frames1++;
|
|
|
|
EXPECT_FALSE(ccomp.running());
|
|
|
|
// Run 2
|
|
std::size_t num_frames2 = 0u;
|
|
try {
|
|
ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
ccomp.start();
|
|
EXPECT_TRUE(ccomp.running());
|
|
while (ccomp.pull(cv::gout(out1, out2))) num_frames2++;
|
|
|
|
EXPECT_FALSE(ccomp.running());
|
|
|
|
EXPECT_LT(0u, num_frames1);
|
|
EXPECT_LT(0u, num_frames2);
|
|
EXPECT_EQ(num_frames1, num_frames2);
|
|
}
|
|
|
|
TEST_P(GAPI_Streaming, SmokeTest_VideoConstSource_NoHang)
|
|
{
|
|
// A video source is a finite one, while const source is not.
|
|
// Check that pipeline completes when a video source completes.
|
|
auto refc = cv::GComputation([](){
|
|
cv::GMat in;
|
|
return cv::GComputation(in, cv::gapi::copy(in));
|
|
}).compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}}, getCompileArgs());
|
|
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
refc.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
refc.start();
|
|
std::size_t ref_frames = 0u;
|
|
cv::Mat tmp;
|
|
while (refc.pull(cv::gout(tmp))) ref_frames++;
|
|
EXPECT_EQ(100u, ref_frames);
|
|
|
|
cv::GMat in;
|
|
cv::GMat in2;
|
|
cv::GMat roi = cv::gapi::crop(in2, cv::Rect{1,1,256,256});
|
|
cv::GMat blr = cv::gapi::blur(roi, cv::Size(3,3));
|
|
cv::GMat out = blr - in;
|
|
auto testc = cv::GComputation(cv::GIn(in, in2), cv::GOut(out))
|
|
.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{256,256}},
|
|
cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
|
|
getCompileArgs());
|
|
|
|
cv::Mat in_const = cv::Mat::eye(cv::Size(256,256), CV_8UC3);
|
|
testc.setSource(cv::gin(in_const,
|
|
gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
testc.start();
|
|
std::size_t test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
|
|
EXPECT_EQ(ref_frames, test_frames);
|
|
}
|
|
|
|
TEST_P(GAPI_Streaming, SmokeTest_AutoMeta)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat in2;
|
|
cv::GMat roi = cv::gapi::crop(in2, cv::Rect{1,1,256,256});
|
|
cv::GMat blr = cv::gapi::blur(roi, cv::Size(3,3));
|
|
cv::GMat out = blr - in;
|
|
|
|
auto testc = cv::GComputation(cv::GIn(in, in2), cv::GOut(out))
|
|
.compileStreaming(getCompileArgs());
|
|
|
|
cv::Mat in_const = cv::Mat::eye(cv::Size(256,256), CV_8UC3);
|
|
cv::Mat tmp;
|
|
|
|
// Test with one video source
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
testc.setSource(cv::gin(in_const, gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
testc.start();
|
|
|
|
std::size_t test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
EXPECT_EQ(100u, test_frames);
|
|
|
|
// Now test with another one
|
|
path = findDataFile("cv/video/1920x1080.avi");
|
|
try {
|
|
testc.setSource(cv::gin(in_const, gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
testc.start();
|
|
|
|
test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
EXPECT_EQ(165u, test_frames);
|
|
}
|
|
|
|
|
|
TEST_P(GAPI_Streaming, SmokeTest_AutoMeta_2xConstMat)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat in2;
|
|
cv::GMat roi = cv::gapi::crop(in2, cv::Rect{1,1,256,256});
|
|
cv::GMat blr = cv::gapi::blur(roi, cv::Size(3,3));
|
|
cv::GMat out = blr - in;
|
|
|
|
auto testc = cv::GComputation(cv::GIn(in, in2), cv::GOut(out))
|
|
.compileStreaming(getCompileArgs());
|
|
|
|
cv::Mat in_const = cv::Mat::eye(cv::Size(256,256), CV_8UC3);
|
|
cv::Mat tmp;
|
|
|
|
// Test with first image
|
|
auto in_src = cv::imread(findDataFile("cv/edgefilter/statue.png"));
|
|
testc.setSource(cv::gin(in_const, in_src));
|
|
testc.start();
|
|
|
|
ASSERT_TRUE(testc.pull(cv::gout(tmp)));
|
|
|
|
testc.stop();
|
|
|
|
// Now test with second image
|
|
in_src = cv::imread(findDataFile("cv/edgefilter/kodim23.png"));
|
|
testc.setSource(cv::gin(in_const, in_src));
|
|
testc.start();
|
|
|
|
ASSERT_TRUE(testc.pull(cv::gout(tmp)));
|
|
|
|
testc.stop();
|
|
}
|
|
|
|
TEST_P(GAPI_Streaming, SmokeTest_AutoMeta_VideoScalar)
|
|
{
|
|
cv::GMat in_m;
|
|
cv::GScalar in_s;
|
|
cv::GMat out_m = in_m * in_s;
|
|
|
|
auto testc = cv::GComputation(cv::GIn(in_m, in_s), cv::GOut(out_m))
|
|
.compileStreaming(getCompileArgs());
|
|
|
|
cv::Mat tmp;
|
|
// Test with one video source and scalar
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
testc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), cv::Scalar{1.25}));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
testc.start();
|
|
|
|
std::size_t test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
EXPECT_EQ(100u, test_frames);
|
|
|
|
// Now test with another one video source and scalar
|
|
path = findDataFile("cv/video/1920x1080.avi");
|
|
try {
|
|
testc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), cv::Scalar{0.75}));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
testc.start();
|
|
|
|
test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
EXPECT_EQ(165u, test_frames);
|
|
}
|
|
|
|
// Instantiate tests with different backends, but default queue capacity
|
|
INSTANTIATE_TEST_CASE_P(TestStreaming, GAPI_Streaming,
|
|
Combine(Values( KernelPackage::OCV
|
|
, KernelPackage::OCV_FLUID),
|
|
Values(cv::optional<size_t>{})));
|
|
|
|
// Instantiate tests with the same backend but various queue capacity
|
|
INSTANTIATE_TEST_CASE_P(TestStreaming_QC, GAPI_Streaming,
|
|
Combine(Values(KernelPackage::OCV_FLUID),
|
|
Values(1u, 4u)));
|
|
|
|
namespace TypesTest
|
|
{
|
|
G_API_OP(SumV, <cv::GArray<int>(cv::GMat)>, "test.gapi.sumv") {
|
|
static cv::GArrayDesc outMeta(const cv::GMatDesc &) {
|
|
return cv::empty_array_desc();
|
|
}
|
|
};
|
|
G_API_OP(AddV, <cv::GMat(cv::GMat,cv::GArray<int>)>, "test.gapi.addv") {
|
|
static cv::GMatDesc outMeta(const cv::GMatDesc &in, const cv::GArrayDesc &) {
|
|
return in;
|
|
}
|
|
};
|
|
|
|
GAPI_OCV_KERNEL(OCVSumV, SumV) {
|
|
static void run(const cv::Mat &in, std::vector<int> &out) {
|
|
CV_Assert(in.depth() == CV_8U);
|
|
const auto length = in.cols * in.channels();
|
|
out.resize(length);
|
|
|
|
const uchar *ptr = in.ptr(0);
|
|
for (int c = 0; c < length; c++) {
|
|
out[c] = ptr[c];
|
|
}
|
|
for (int r = 1; r < in.rows; r++) {
|
|
ptr = in.ptr(r);
|
|
for (int c = 0; c < length; c++) {
|
|
out[c] += ptr[c];
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
GAPI_OCV_KERNEL(OCVAddV, AddV) {
|
|
static void run(const cv::Mat &in, const std::vector<int> &inv, cv::Mat &out) {
|
|
CV_Assert(in.depth() == CV_8U);
|
|
const auto length = in.cols * in.channels();
|
|
CV_Assert(length == static_cast<int>(inv.size()));
|
|
|
|
for (int r = 0; r < in.rows; r++) {
|
|
const uchar *in_ptr = in.ptr(r);
|
|
uchar *out_ptr = out.ptr(r);
|
|
|
|
for (int c = 0; c < length; c++) {
|
|
out_ptr[c] = cv::saturate_cast<uchar>(in_ptr[c] + inv[c]);
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
GAPI_FLUID_KERNEL(FluidAddV, AddV, false) {
|
|
static const int Window = 1;
|
|
|
|
static void run(const cv::gapi::fluid::View &in,
|
|
const std::vector<int> &inv,
|
|
cv::gapi::fluid::Buffer &out) {
|
|
const uchar *in_ptr = in.InLineB(0);
|
|
uchar *out_ptr = out.OutLineB(0);
|
|
|
|
const auto length = in.meta().size.width * in.meta().chan;
|
|
CV_Assert(length == static_cast<int>(inv.size()));
|
|
|
|
for (int c = 0; c < length; c++) {
|
|
out_ptr[c] = cv::saturate_cast<uchar>(in_ptr[c] + inv[c]);
|
|
}
|
|
}
|
|
};
|
|
} // namespace TypesTest
|
|
|
|
TEST_P(GAPI_Streaming, SmokeTest_AutoMeta_VideoArray)
|
|
{
|
|
cv::GMat in_m;
|
|
cv::GArray<int> in_v;
|
|
cv::GMat out_m = TypesTest::AddV::on(in_m, in_v) - in_m;
|
|
|
|
// Run pipeline
|
|
auto args = cv::compile_args(cv::gapi::kernels<TypesTest::OCVAddV>());
|
|
auto capacity = getQueueCapacity();
|
|
if (capacity)
|
|
{
|
|
args += cv::compile_args(
|
|
cv::gapi::streaming::queue_capacity{capacity.value()});
|
|
}
|
|
auto testc = cv::GComputation(cv::GIn(in_m, in_v), cv::GOut(out_m))
|
|
.compileStreaming(std::move(args));
|
|
|
|
cv::Mat tmp;
|
|
// Test with one video source and vector
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
std::vector<int> first_in_vec(768*3, 1);
|
|
try {
|
|
testc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), first_in_vec));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
testc.start();
|
|
|
|
std::size_t test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
EXPECT_EQ(100u, test_frames);
|
|
|
|
// Now test with another one
|
|
path = findDataFile("cv/video/1920x1080.avi");
|
|
std::vector<int> second_in_vec(1920*3, 1);
|
|
try {
|
|
testc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), second_in_vec));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
testc.start();
|
|
|
|
test_frames = 0u;
|
|
while (testc.pull(cv::gout(tmp))) test_frames++;
|
|
EXPECT_EQ(165u, test_frames);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Types, InputScalar)
|
|
{
|
|
// This test verifies if Streaming works with Scalar data @ input.
|
|
|
|
cv::GMat in_m;
|
|
cv::GScalar in_s;
|
|
cv::GMat out_m = in_m * in_s;
|
|
cv::GComputation c(cv::GIn(in_m, in_s), cv::GOut(out_m));
|
|
|
|
// Input data
|
|
cv::Mat in_mat = cv::Mat::eye(256, 256, CV_8UC1);
|
|
cv::Scalar in_scl = 32;
|
|
|
|
// Run pipeline
|
|
auto sc = c.compileStreaming(cv::descr_of(in_mat), cv::descr_of(in_scl));
|
|
sc.setSource(cv::gin(in_mat, in_scl));
|
|
sc.start();
|
|
|
|
for (int i = 0; i < 10; i++)
|
|
{
|
|
cv::Mat out;
|
|
EXPECT_TRUE(sc.pull(cv::gout(out)));
|
|
EXPECT_EQ(0., cv::norm(out, in_mat.mul(in_scl), cv::NORM_INF));
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Types, InputVector)
|
|
{
|
|
// This test verifies if Streaming works with Vector data @ input.
|
|
|
|
cv::GMat in_m;
|
|
cv::GArray<int> in_v;
|
|
cv::GMat out_m = TypesTest::AddV::on(in_m, in_v) - in_m;
|
|
cv::GComputation c(cv::GIn(in_m, in_v), cv::GOut(out_m));
|
|
|
|
// Input data
|
|
cv::Mat in_mat = cv::Mat::eye(256, 256, CV_8UC1);
|
|
std::vector<int> in_vec;
|
|
TypesTest::OCVSumV::run(in_mat, in_vec);
|
|
EXPECT_EQ(std::vector<int>(256,1), in_vec); // self-sanity-check
|
|
|
|
auto opencv_ref = [&](const cv::Mat &in, const std::vector<int> &inv, cv::Mat &out) {
|
|
cv::Mat tmp = in_mat.clone(); // allocate the same amount of memory as graph does
|
|
TypesTest::OCVAddV::run(in, inv, tmp);
|
|
out = tmp - in;
|
|
};
|
|
|
|
// Run pipeline
|
|
auto sc = c.compileStreaming(cv::descr_of(in_mat),
|
|
cv::descr_of(in_vec),
|
|
cv::compile_args(cv::gapi::kernels<TypesTest::OCVAddV>()));
|
|
sc.setSource(cv::gin(in_mat, in_vec));
|
|
sc.start();
|
|
|
|
for (int i = 0; i < 10; i++)
|
|
{
|
|
cv::Mat out_mat;
|
|
EXPECT_TRUE(sc.pull(cv::gout(out_mat)));
|
|
|
|
cv::Mat ref_mat;
|
|
opencv_ref(in_mat, in_vec, ref_mat);
|
|
EXPECT_EQ(0., cv::norm(ref_mat, out_mat, cv::NORM_INF));
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Types, XChangeScalar)
|
|
{
|
|
// This test verifies if Streaming works when pipeline steps
|
|
// (islands) exchange Scalar data.
|
|
|
|
cv::GMat in;
|
|
cv::GScalar m = cv::gapi::mean(in);
|
|
cv::GMat tmp = cv::gapi::convertTo(in, CV_32F) - m;
|
|
cv::GMat out = cv::gapi::blur(tmp, cv::Size(3,3));
|
|
cv::GComputation c(cv::GIn(in), cv::GOut(cv::gapi::copy(in),
|
|
cv::gapi::convertTo(out, CV_8U)));
|
|
|
|
auto ocv_ref = [](const cv::Mat &in_mat, cv::Mat &out_mat) {
|
|
cv::Scalar ocv_m = cv::mean(in_mat);
|
|
cv::Mat ocv_tmp;
|
|
in_mat.convertTo(ocv_tmp, CV_32F);
|
|
ocv_tmp -= ocv_m;
|
|
cv::blur(ocv_tmp, ocv_tmp, cv::Size(3,3));
|
|
ocv_tmp.convertTo(out_mat, CV_8U);
|
|
};
|
|
|
|
// Here we want mean & convertTo run on OCV
|
|
// and subC & blur3x3 on Fluid.
|
|
// FIXME: With the current API it looks quite awful:
|
|
auto ocv_kernels = cv::gapi::core::cpu::kernels(); // convertTo
|
|
ocv_kernels.remove<cv::gapi::core::GSubC>();
|
|
|
|
auto fluid_kernels = cv::gapi::combine(cv::gapi::core::fluid::kernels(), // subC
|
|
cv::gapi::imgproc::fluid::kernels()); // box3x3
|
|
fluid_kernels.remove<cv::gapi::core::GConvertTo>();
|
|
fluid_kernels.remove<cv::gapi::core::GMean>();
|
|
|
|
// FIXME: Now
|
|
// - fluid kernels take over ocv kernels (including Copy, SubC, & Box3x3)
|
|
// - selected kernels (which were removed from the fluid package) remain in OCV
|
|
// (ConvertTo + some others)
|
|
// FIXME: This is completely awful. User should easily pick up specific kernels
|
|
// to an empty kernel package to craft his own but not do it via exclusion.
|
|
// Need to expose kernel declarations to public headers to enable kernels<..>()
|
|
// on user side.
|
|
auto kernels = cv::gapi::combine(ocv_kernels, fluid_kernels);
|
|
|
|
// Compile streaming pipeline
|
|
auto sc = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
|
|
cv::compile_args(cv::gapi::use_only{kernels}));
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
cv::Mat in_frame;
|
|
cv::Mat out_mat_gapi;
|
|
cv::Mat out_mat_ref;
|
|
|
|
std::size_t num_frames = 0u;
|
|
while (sc.pull(cv::gout(in_frame, out_mat_gapi))) {
|
|
num_frames++;
|
|
ocv_ref(in_frame, out_mat_ref);
|
|
EXPECT_EQ(0., cv::norm(out_mat_gapi, out_mat_ref, cv::NORM_INF));
|
|
}
|
|
EXPECT_LT(0u, num_frames);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Types, XChangeVector)
|
|
{
|
|
// This test verifies if Streaming works when pipeline steps
|
|
// (islands) exchange Vector data.
|
|
|
|
cv::GMat in1, in2;
|
|
cv::GMat in = cv::gapi::crop(in1, cv::Rect{0,0,576,576});
|
|
cv::GScalar m = cv::gapi::mean(in);
|
|
cv::GArray<int> s = TypesTest::SumV::on(in2); // (in2 = eye, so s = [1,0,0,1,..])
|
|
cv::GMat out = TypesTest::AddV::on(in - m, s);
|
|
|
|
cv::GComputation c(cv::GIn(in1, in2), cv::GOut(cv::gapi::copy(in), out));
|
|
|
|
auto ocv_ref = [](const cv::Mat &in_mat1, const cv::Mat &in_mat2, cv::Mat &out_mat) {
|
|
cv::Mat in_roi = in_mat1(cv::Rect{0,0,576,576});
|
|
cv::Scalar ocv_m = cv::mean(in_roi);
|
|
std::vector<int> ocv_v;
|
|
TypesTest::OCVSumV::run(in_mat2, ocv_v);
|
|
|
|
out_mat.create(cv::Size(576,576), CV_8UC3);
|
|
cv::Mat in_tmp = in_roi - ocv_m;
|
|
TypesTest::OCVAddV::run(in_tmp, ocv_v, out_mat);
|
|
};
|
|
|
|
// Let crop/mean/sumV be calculated via OCV,
|
|
// and AddV/subC be calculated via Fluid
|
|
auto ocv_kernels = cv::gapi::core::cpu::kernels();
|
|
ocv_kernels.remove<cv::gapi::core::GSubC>();
|
|
ocv_kernels.include<TypesTest::OCVSumV>();
|
|
|
|
auto fluid_kernels = cv::gapi::core::fluid::kernels();
|
|
fluid_kernels.include<TypesTest::FluidAddV>();
|
|
|
|
// Here OCV takes precedense over Fluid, with SubC & SumV remaining
|
|
// in Fluid.
|
|
auto kernels = cv::gapi::combine(fluid_kernels, ocv_kernels);
|
|
|
|
// Compile streaming pipeline
|
|
cv::Mat in_eye = cv::Mat::eye(cv::Size(576, 576), CV_8UC3);
|
|
auto sc = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
|
|
cv::GMatDesc{CV_8U,3,cv::Size{576,576}},
|
|
cv::compile_args(cv::gapi::use_only{kernels}));
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path),
|
|
in_eye));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
cv::Mat in_frame;
|
|
cv::Mat out_mat_gapi;
|
|
cv::Mat out_mat_ref;
|
|
|
|
std::size_t num_frames = 0u;
|
|
while (sc.pull(cv::gout(in_frame, out_mat_gapi))) {
|
|
num_frames++;
|
|
ocv_ref(in_frame, in_eye, out_mat_ref);
|
|
EXPECT_EQ(0., cv::norm(out_mat_gapi, out_mat_ref, cv::NORM_INF));
|
|
}
|
|
EXPECT_LT(0u, num_frames);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Types, OutputScalar)
|
|
{
|
|
// This test verifies if Streaming works when pipeline
|
|
// produces scalar data only
|
|
|
|
cv::GMat in;
|
|
cv::GScalar out = cv::gapi::mean(in);
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(out))
|
|
.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}});
|
|
|
|
std::string video_path;
|
|
video_path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(video_path));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(video_path);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::Mat tmp;
|
|
cv::Scalar out_scl;
|
|
std::size_t num_frames = 0u;
|
|
while (sc.pull(cv::gout(out_scl)))
|
|
{
|
|
num_frames++;
|
|
cap >> tmp;
|
|
cv::Scalar out_ref = cv::mean(tmp);
|
|
EXPECT_EQ(out_ref, out_scl);
|
|
}
|
|
EXPECT_LT(0u, num_frames);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Types, OutputVector)
|
|
{
|
|
// This test verifies if Streaming works when pipeline
|
|
// produces vector data only
|
|
|
|
auto pkg = cv::gapi::kernels<TypesTest::OCVSumV>();
|
|
|
|
cv::GMat in1, in2;
|
|
cv::GMat roi = cv::gapi::crop(in2, cv::Rect(3,3,256,256));
|
|
cv::GArray<int> out = TypesTest::SumV::on(cv::gapi::mul(roi, in1));
|
|
auto sc = cv::GComputation(cv::GIn(in1, in2), cv::GOut(out))
|
|
.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{256,256}},
|
|
cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
|
|
cv::compile_args(pkg));
|
|
|
|
auto ocv_ref = [](const cv::Mat &ocv_in1,
|
|
const cv::Mat &ocv_in2,
|
|
std::vector<int> &ocv_out) {
|
|
auto ocv_roi = ocv_in2(cv::Rect{3,3,256,256});
|
|
TypesTest::OCVSumV::run(ocv_roi.mul(ocv_in1), ocv_out);
|
|
};
|
|
|
|
cv::Mat in_eye = cv::Mat::eye(cv::Size(256, 256), CV_8UC3);
|
|
std::string video_path;
|
|
video_path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(cv::gin(in_eye, gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(video_path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(video_path);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::Mat tmp;
|
|
std::vector<int> ref_vec;
|
|
std::vector<int> out_vec;
|
|
std::size_t num_frames = 0u;
|
|
while (sc.pull(cv::gout(out_vec)))
|
|
{
|
|
num_frames++;
|
|
cap >> tmp;
|
|
ref_vec.clear();
|
|
ocv_ref(in_eye, tmp, ref_vec);
|
|
EXPECT_EQ(ref_vec, out_vec);
|
|
}
|
|
EXPECT_LT(0u, num_frames);
|
|
}
|
|
|
|
G_API_OP(DimsChans,
|
|
<std::tuple<cv::GArray<int>, cv::GOpaque<int>>(cv::GMat)>,
|
|
"test.streaming.dims_chans") {
|
|
static std::tuple<cv::GArrayDesc, cv::GOpaqueDesc> outMeta(const cv::GMatDesc &) {
|
|
return std::make_tuple(cv::empty_array_desc(),
|
|
cv::empty_gopaque_desc());
|
|
}
|
|
};
|
|
|
|
GAPI_OCV_KERNEL(OCVDimsChans, DimsChans) {
|
|
static void run(const cv::Mat &in, std::vector<int> &ov, int &oi) {
|
|
ov = {in.cols, in.rows};
|
|
oi = in.channels();
|
|
}
|
|
};
|
|
|
|
struct GAPI_Streaming_TemplateTypes: ::testing::Test {
|
|
// There was a problem in GStreamingExecutor
|
|
// when outputs were formally not used by the graph
|
|
// but still should be in place as operation need
|
|
// to produce them, and host data type constructors
|
|
// were missing for GArray and GOpaque in this case.
|
|
// This test tests exactly this.
|
|
|
|
GAPI_Streaming_TemplateTypes() {
|
|
// Prepare everything for the test:
|
|
// Graph itself
|
|
blur = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
cv::GMat blur_d = cv::gapi::streaming::desync(blur);
|
|
std::tie(vec, opq) = DimsChans::on(blur_d);
|
|
|
|
// Kernel package
|
|
pkg = cv::gapi::kernels<OCVDimsChans>();
|
|
|
|
// Input mat
|
|
in_mat = cv::Mat::eye(cv::Size(320,240), CV_8UC3);
|
|
}
|
|
|
|
cv::GMat in;
|
|
cv::GMat blur;
|
|
cv::GArray<int> vec;
|
|
cv::GOpaque<int> opq;
|
|
cv::GKernelPackage pkg;
|
|
cv::Mat in_mat;
|
|
};
|
|
|
|
TEST_F(GAPI_Streaming_TemplateTypes, UnusedVectorIsOK)
|
|
{
|
|
// Declare graph without listing vec as output
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(blur, opq))
|
|
.compileStreaming(cv::compile_args(pkg));
|
|
sc.setSource(cv::gin(in_mat));
|
|
sc.start();
|
|
|
|
cv::optional<cv::Mat> out_mat;
|
|
cv::optional<int> out_int;
|
|
|
|
int counter = 0;
|
|
while (sc.pull(cv::gout(out_mat, out_int))) {
|
|
if (counter++ == 10) {
|
|
// Stop the test after 10 iterations
|
|
sc.stop();
|
|
break;
|
|
}
|
|
GAPI_Assert(out_mat || out_int);
|
|
if (out_int) {
|
|
EXPECT_EQ(3, out_int.value());
|
|
}
|
|
}
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_TemplateTypes, UnusedOpaqueIsOK)
|
|
{
|
|
// Declare graph without listing opq as output
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(blur, vec))
|
|
.compileStreaming(cv::compile_args(pkg));
|
|
sc.setSource(cv::gin(in_mat));
|
|
sc.start();
|
|
|
|
cv::optional<cv::Mat> out_mat;
|
|
cv::optional<std::vector<int> > out_vec;
|
|
|
|
int counter = 0;
|
|
while (sc.pull(cv::gout(out_mat, out_vec))) {
|
|
if (counter++ == 10) {
|
|
// Stop the test after 10 iterations
|
|
sc.stop();
|
|
break;
|
|
}
|
|
GAPI_Assert(out_mat || out_vec);
|
|
if (out_vec) {
|
|
EXPECT_EQ(320, out_vec.value()[0]);
|
|
EXPECT_EQ(240, out_vec.value()[1]);
|
|
}
|
|
}
|
|
}
|
|
|
|
struct GAPI_Streaming_Unit: public ::testing::Test {
|
|
cv::Mat m;
|
|
|
|
cv::GComputation cc;
|
|
cv::GStreamingCompiled sc;
|
|
|
|
cv::GCompiled ref;
|
|
|
|
GAPI_Streaming_Unit()
|
|
: m(cv::Mat::ones(224,224,CV_8UC3))
|
|
, cc([]{
|
|
cv::GMat a, b;
|
|
cv::GMat c = a + b*2;
|
|
return cv::GComputation(cv::GIn(a, b), cv::GOut(c));
|
|
})
|
|
{
|
|
|
|
const auto a_desc = cv::descr_of(m);
|
|
const auto b_desc = cv::descr_of(m);
|
|
sc = cc.compileStreaming(a_desc, b_desc);
|
|
ref = cc.compile(a_desc, b_desc);
|
|
}
|
|
};
|
|
|
|
// FIXME: (GAPI_Streaming_Types, InputOpaque) test is missing here!
|
|
// FIXME: (GAPI_Streaming_Types, XChangeOpaque) test is missing here!
|
|
// FIXME: (GAPI_Streaming_Types, OutputOpaque) test is missing here!
|
|
|
|
TEST(GAPI_Streaming, TestTwoVideosDifferentLength)
|
|
{
|
|
auto desc = cv::GMatDesc{CV_8U,3,{768,576}};
|
|
auto path1 = findDataFile("cv/video/768x576.avi");
|
|
auto path2 = findDataFile("highgui/video/big_buck_bunny.avi");
|
|
|
|
cv::GMat in1, in2;
|
|
auto out = in1 + cv::gapi::resize(in2, desc.size);
|
|
|
|
cv::GComputation cc(cv::GIn(in1, in2), cv::GOut(out));
|
|
auto sc = cc.compileStreaming();
|
|
try {
|
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path1),
|
|
gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path2)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be found");
|
|
}
|
|
sc.start();
|
|
|
|
cv::Mat out_mat;
|
|
std::size_t frames = 0u;
|
|
while(sc.pull(cv::gout(out_mat))) {
|
|
frames++;
|
|
}
|
|
|
|
// big_buck_bunny.avi has 125 frames, 768x576.avi - 100 frames,
|
|
// expect framework to stop after 100 frames
|
|
EXPECT_EQ(100u, frames);
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, TestStartWithoutnSetSource)
|
|
{
|
|
EXPECT_ANY_THROW(sc.start());
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, TestStopWithoutStart1)
|
|
{
|
|
// It is ok!
|
|
EXPECT_NO_THROW(sc.stop());
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, TestStopWithoutStart2)
|
|
{
|
|
// It should be ok as well
|
|
sc.setSource(cv::gin(m, m));
|
|
EXPECT_NO_THROW(sc.stop());
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, StopStartStop)
|
|
{
|
|
cv::Mat out;
|
|
EXPECT_NO_THROW(sc.stop());
|
|
EXPECT_NO_THROW(sc.setSource(cv::gin(m, m)));
|
|
EXPECT_NO_THROW(sc.start());
|
|
|
|
std::size_t i = 0u;
|
|
while (i++ < 10u) {EXPECT_TRUE(sc.pull(cv::gout(out)));};
|
|
|
|
EXPECT_NO_THROW(sc.stop());
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, ImplicitStop)
|
|
{
|
|
EXPECT_NO_THROW(sc.setSource(cv::gin(m, m)));
|
|
EXPECT_NO_THROW(sc.start());
|
|
// No explicit stop here - pipeline stops successfully at the test exit
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, StartStopStart_NoSetSource)
|
|
{
|
|
EXPECT_NO_THROW(sc.setSource(cv::gin(m, m)));
|
|
EXPECT_NO_THROW(sc.start());
|
|
EXPECT_NO_THROW(sc.stop());
|
|
EXPECT_ANY_THROW(sc.start()); // Should fail since setSource was not called
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, StartStopStress_Const)
|
|
{
|
|
// Runs 100 times with no deadlock - assumed stable (robust) enough
|
|
for (int i = 0; i < 100; i++)
|
|
{
|
|
sc.stop();
|
|
sc.setSource(cv::gin(m, m));
|
|
sc.start();
|
|
cv::Mat out;
|
|
for (int j = 0; j < 5; j++) EXPECT_TRUE(sc.pull(cv::gout(out)));
|
|
}
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, StartStopStress_Video)
|
|
{
|
|
// Runs 100 times with no deadlock - assumed stable (robust) enough
|
|
sc = cc.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}},
|
|
cv::GMatDesc{CV_8U,3,cv::Size{768,576}});
|
|
m = cv::Mat::eye(cv::Size{768,576}, CV_8UC3);
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
for (int i = 0; i < 100; i++)
|
|
{
|
|
sc.stop();
|
|
try {
|
|
sc.setSource(cv::gin(cv::gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), m));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
cv::Mat out;
|
|
for (int j = 0; j < 5; j++) EXPECT_TRUE(sc.pull(cv::gout(out)));
|
|
}
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, PullNoStart)
|
|
{
|
|
sc.setSource(cv::gin(m, m));
|
|
|
|
cv::Mat out;
|
|
EXPECT_ANY_THROW(sc.pull(cv::gout(out)));
|
|
}
|
|
|
|
|
|
TEST_F(GAPI_Streaming_Unit, SetSource_Multi_BeforeStart)
|
|
{
|
|
cv::Mat eye = cv::Mat::eye (224, 224, CV_8UC3);
|
|
cv::Mat zrs = cv::Mat::zeros(224, 224, CV_8UC3);
|
|
|
|
// Call setSource two times, data specified last time
|
|
// should be actually processed.
|
|
sc.setSource(cv::gin(zrs, zrs));
|
|
sc.setSource(cv::gin(eye, eye));
|
|
|
|
// Run the pipeline, acquire result once
|
|
sc.start();
|
|
cv::Mat out, out_ref;
|
|
EXPECT_TRUE(sc.pull(cv::gout(out)));
|
|
sc.stop();
|
|
|
|
// Pipeline should process `eye` mat, not `zrs`
|
|
ref(cv::gin(eye, eye), cv::gout(out_ref));
|
|
EXPECT_EQ(0., cv::norm(out, out_ref, cv::NORM_INF));
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, SetSource_During_Execution)
|
|
{
|
|
cv::Mat zrs = cv::Mat::zeros(224, 224, CV_8UC3);
|
|
|
|
sc.setSource(cv::gin(m, m));
|
|
sc.start();
|
|
EXPECT_ANY_THROW(sc.setSource(cv::gin(zrs, zrs)));
|
|
EXPECT_ANY_THROW(sc.setSource(cv::gin(zrs, zrs)));
|
|
EXPECT_ANY_THROW(sc.setSource(cv::gin(zrs, zrs)));
|
|
sc.stop();
|
|
}
|
|
|
|
TEST_F(GAPI_Streaming_Unit, SetSource_After_Completion)
|
|
{
|
|
sc.setSource(cv::gin(m, m));
|
|
|
|
// Test pipeline with `m` input
|
|
sc.start();
|
|
cv::Mat out, out_ref;
|
|
EXPECT_TRUE(sc.pull(cv::gout(out)));
|
|
sc.stop();
|
|
|
|
// Test against ref
|
|
ref(cv::gin(m, m), cv::gout(out_ref));
|
|
EXPECT_EQ(0., cv::norm(out, out_ref, cv::NORM_INF));
|
|
|
|
// Now set another source
|
|
cv::Mat eye = cv::Mat::eye(224, 224, CV_8UC3);
|
|
sc.setSource(cv::gin(eye, m));
|
|
sc.start();
|
|
EXPECT_TRUE(sc.pull(cv::gout(out)));
|
|
sc.stop();
|
|
|
|
// Test against new ref
|
|
ref(cv::gin(eye, m), cv::gout(out_ref));
|
|
EXPECT_EQ(0., cv::norm(out, out_ref, cv::NORM_INF));
|
|
}
|
|
|
|
// NB: Check pull overload for python
|
|
TEST(Streaming, Python_Pull_Overload)
|
|
{
|
|
cv::GMat in;
|
|
auto out = cv::gapi::copy(in);
|
|
cv::GComputation c(in, out);
|
|
|
|
cv::Size sz(3,3);
|
|
cv::Mat in_mat(sz, CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar(255));
|
|
|
|
auto ccomp = c.compileStreaming();
|
|
|
|
EXPECT_TRUE(ccomp);
|
|
EXPECT_FALSE(ccomp.running());
|
|
|
|
ccomp.setSource(cv::gin(in_mat));
|
|
|
|
ccomp.start();
|
|
EXPECT_TRUE(ccomp.running());
|
|
|
|
bool has_output;
|
|
cv::GRunArgs outputs;
|
|
using RunArgs = cv::util::variant<cv::GRunArgs, cv::GOptRunArgs>;
|
|
RunArgs args;
|
|
|
|
std::tie(has_output, args) = ccomp.pull();
|
|
|
|
checkPullOverload(in_mat, has_output, args);
|
|
|
|
ccomp.stop();
|
|
EXPECT_FALSE(ccomp.running());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Python_Pull_Overload)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat out = cv::gapi::streaming::desync(in);
|
|
cv::GComputation c(in, out);
|
|
|
|
cv::Size sz(3,3);
|
|
cv::Mat in_mat(sz, CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar(255));
|
|
|
|
auto ccomp = c.compileStreaming();
|
|
|
|
EXPECT_TRUE(ccomp);
|
|
EXPECT_FALSE(ccomp.running());
|
|
|
|
ccomp.setSource(cv::gin(in_mat));
|
|
|
|
ccomp.start();
|
|
EXPECT_TRUE(ccomp.running());
|
|
|
|
bool has_output;
|
|
cv::GRunArgs outputs;
|
|
using RunArgs = cv::util::variant<cv::GRunArgs, cv::GOptRunArgs>;
|
|
RunArgs args;
|
|
|
|
std::tie(has_output, args) = ccomp.pull();
|
|
|
|
checkPullOverload(in_mat, has_output, args);
|
|
|
|
ccomp.stop();
|
|
EXPECT_FALSE(ccomp.running());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, SmokeTest_Regular)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
cv::GMat out1 = cv::gapi::Canny(tmp1, 32, 128, 3);
|
|
|
|
// FIXME: Unary desync should not require tie!
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out2 = tmp2 / cv::gapi::Sobel(tmp2, CV_8U, 1, 1);;
|
|
|
|
cv::Mat test_in = cv::Mat::eye(cv::Size(32,32), CV_8UC3);
|
|
cv::Mat test_out1, test_out2;
|
|
cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.apply(cv::gin(test_in), cv::gout(test_out1, test_out2));
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, SmokeTest_Streaming)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
cv::GMat out1 = cv::gapi::Canny(tmp1, 32, 128, 3);
|
|
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out2 = Delay::on(tmp2,10) / cv::gapi::Sobel(tmp2, CV_8U, 1, 1);
|
|
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<OCVDelay>()));
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
std::size_t out1_hits = 0u;
|
|
std::size_t out2_hits = 0u;
|
|
cv::optional<cv::Mat> test_out1, test_out2;
|
|
while (sc.pull(cv::gout(test_out1, test_out2))) {
|
|
GAPI_Assert(test_out1 || test_out2);
|
|
if (test_out1) out1_hits++;
|
|
if (test_out2) out2_hits++;
|
|
}
|
|
EXPECT_EQ(100u, out1_hits); // out1 must be available for all frames
|
|
EXPECT_LE(out2_hits, out1_hits); // out2 must appear less times than out1
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, SmokeTest_Streaming_TwoParts)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
cv::GMat out1 = cv::gapi::Canny(tmp1, 32, 128, 3);
|
|
|
|
// Desynchronized path 1
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out2 = tmp2 / cv::gapi::Sobel(tmp2, CV_8U, 1, 1);
|
|
|
|
// Desynchronized path 2
|
|
cv::GMat tmp3 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out3 = 0.5*tmp3 + 0.5*cv::gapi::medianBlur(tmp3, 7);
|
|
|
|
// The code should compile and execute well (desynchronized parts don't cross)
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2, out3))
|
|
.compileStreaming();
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
std::size_t test_frames = 0u;
|
|
cv::optional<cv::Mat> test_out1, test_out2, test_out3;
|
|
while (sc.pull(cv::gout(test_out1, test_out2, test_out3))) {
|
|
GAPI_Assert(test_out1 || test_out2 || test_out3);
|
|
if (test_out1) {
|
|
// count frames only for synchronized output
|
|
test_frames++;
|
|
}
|
|
}
|
|
EXPECT_EQ(100u, test_frames);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_NestedDesync_Tier0)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
// Desynchronized path 1
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out1 = cv::gapi::medianBlur(tmp2, 3);
|
|
|
|
// Desynchronized path 2, nested from 1 (directly from desync)
|
|
cv::GMat tmp3 = cv::gapi::streaming::desync(tmp2);
|
|
cv::GMat out2 = 0.5*tmp3;
|
|
|
|
// This shouldn't compile
|
|
EXPECT_ANY_THROW(cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_NestedDesync_Tier1)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
// Desynchronized path 1
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out1 = cv::gapi::medianBlur(tmp2, 3);
|
|
|
|
// Desynchronized path 2, nested from 1 (indirectly from desync)
|
|
cv::GMat tmp3 = cv::gapi::streaming::desync(out1);
|
|
cv::GMat out2 = 0.5*tmp3;
|
|
|
|
// This shouldn't compile
|
|
EXPECT_ANY_THROW(cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_CrossMainPart_Tier0)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
// Desynchronized path: depends on both tmp1 and tmp2
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out1 = 0.5*tmp1 + 0.5*tmp2;
|
|
|
|
// This shouldn't compile
|
|
EXPECT_ANY_THROW(cv::GComputation(in, out1).compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_CrossMainPart_Tier1)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
// Desynchronized path: depends on both tmp1 and tmp2
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out1 = 0.5*tmp1 + 0.5*cv::gapi::medianBlur(tmp2, 3);
|
|
|
|
// This shouldn't compile
|
|
EXPECT_ANY_THROW(cv::GComputation(in, out1).compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_CrossOtherDesync_Tier0)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
// Desynchronized path 1
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out1 = 0.5*tmp2;
|
|
|
|
// Desynchronized path 2 (depends on 1)
|
|
cv::GMat tmp3 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out2 = 0.5*tmp3 + tmp2;
|
|
|
|
// This shouldn't compile
|
|
EXPECT_ANY_THROW(cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_CrossOtherDesync_Tier1)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat tmp1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
// Desynchronized path 1
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out1 = 0.5*tmp2;
|
|
|
|
// Desynchronized path 2 (depends on 1)
|
|
cv::GMat tmp3 = cv::gapi::streaming::desync(tmp1);
|
|
cv::GMat out2 = 0.5*cv::gapi::medianBlur(tmp3,3) + 1.0*tmp2;
|
|
|
|
// This shouldn't compile
|
|
EXPECT_ANY_THROW(cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, Negative_SynchronizedPull)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat out1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
cv::GMat tmp1 = cv::gapi::streaming::desync(out1);
|
|
cv::GMat out2 = 0.5*tmp1;
|
|
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming();
|
|
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
cv::Mat o1, o2;
|
|
EXPECT_ANY_THROW(sc.pull(cv::gout(o1, o2)));
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, UseSpecialPull)
|
|
{
|
|
cv::GMat in;
|
|
cv::GMat out1 = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
cv::GMat tmp1 = cv::gapi::streaming::desync(out1);
|
|
cv::GMat out2 = 0.5*tmp1;
|
|
|
|
auto sc = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2))
|
|
.compileStreaming();
|
|
|
|
auto path = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path)));
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
sc.start();
|
|
|
|
cv::optional<cv::Mat> o1, o2;
|
|
std::size_t num_frames = 0u;
|
|
|
|
while (sc.pull(cv::gout(o1, o2))) {
|
|
if (o1) num_frames++;
|
|
}
|
|
EXPECT_EQ(100u, num_frames);
|
|
}
|
|
|
|
G_API_OP(ProduceVector, <cv::GArray<int>(cv::GMat)>, "test.desync.vector") {
|
|
static cv::GArrayDesc outMeta(const cv::GMatDesc &) {
|
|
return cv::empty_array_desc();
|
|
}
|
|
};
|
|
|
|
G_API_OP(ProduceOpaque, <cv::GOpaque<int>(cv::GMat)>, "test.desync.opaque") {
|
|
static cv::GOpaqueDesc outMeta(const cv::GMatDesc &) {
|
|
return cv::empty_gopaque_desc();
|
|
}
|
|
};
|
|
|
|
GAPI_OCV_KERNEL(OCVVector, ProduceVector) {
|
|
static void run(const cv::Mat& in, std::vector<int> &out) {
|
|
out = {in.cols, in.rows};
|
|
}
|
|
};
|
|
|
|
GAPI_OCV_KERNEL(OCVOpaque, ProduceOpaque) {
|
|
static void run(const cv::Mat &in, int &v) {
|
|
v = in.channels();
|
|
}
|
|
};
|
|
|
|
namespace {
|
|
cv::GStreamingCompiled desyncTestObject() {
|
|
cv::GMat in;
|
|
cv::GMat blur = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
cv::GMat blur_d = cv::gapi::copy(cv::gapi::streaming::desync(blur));
|
|
cv::GMat d1 = Delay::on(blur_d, 10);
|
|
cv::GMat d2 = Delay::on(blur_d, 30);
|
|
|
|
cv::GArray<int> vec = ProduceVector::on(d1);
|
|
cv::GOpaque<int> opq = ProduceOpaque::on(d2);
|
|
|
|
auto pkg = cv::gapi::kernels<OCVDelay, OCVVector, OCVOpaque>();
|
|
return cv::GComputation(cv::GIn(in), cv::GOut(blur, vec, opq))
|
|
.compileStreaming(cv::compile_args(pkg));
|
|
}
|
|
} // anonymous namespace
|
|
|
|
TEST(GAPI_Streaming_Desync, MultipleDesyncOutputs_1) {
|
|
auto sc = desyncTestObject();
|
|
const cv::Mat in_mat = cv::Mat::eye(cv::Size(320,240), CV_8UC3);
|
|
|
|
sc.setSource(cv::gin(in_mat));
|
|
sc.start();
|
|
|
|
cv::optional<cv::Mat> out_mat;
|
|
cv::optional<std::vector<int> > out_vec;
|
|
cv::optional<int> out_int;
|
|
|
|
int counter = 0;
|
|
while (sc.pull(cv::gout(out_mat, out_vec, out_int))) {
|
|
if (counter++ == 1000) {
|
|
// Stop the test after 1000 iterations
|
|
sc.stop();
|
|
break;
|
|
}
|
|
GAPI_Assert(out_mat || out_vec || out_int);
|
|
|
|
// out_vec and out_int are on the same desynchronized path
|
|
// they MUST arrive together. If one is available, the other
|
|
// also must be available.
|
|
if (out_vec) { ASSERT_TRUE(out_int.has_value()); }
|
|
if (out_int) { ASSERT_TRUE(out_vec.has_value()); }
|
|
|
|
if (out_vec || out_int) {
|
|
EXPECT_EQ(320, out_vec.value()[0]);
|
|
EXPECT_EQ(240, out_vec.value()[1]);
|
|
EXPECT_EQ(3, out_int.value());
|
|
}
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, StartStop_Stress) {
|
|
auto sc = desyncTestObject();
|
|
const cv::Mat in_mat = cv::Mat::eye(cv::Size(320,240), CV_8UC3);
|
|
|
|
cv::optional<cv::Mat> out_mat;
|
|
cv::optional<std::vector<int> > out_vec;
|
|
cv::optional<int> out_int;
|
|
|
|
for (int i = 0; i < 10; i++) {
|
|
sc.setSource(cv::gin(in_mat));
|
|
sc.start();
|
|
int counter = 0;
|
|
while (counter++ < 100) {
|
|
sc.pull(cv::gout(out_mat, out_vec, out_int));
|
|
GAPI_Assert(out_mat || out_vec || out_int);
|
|
if (out_vec) { ASSERT_TRUE(out_int.has_value()); }
|
|
if (out_int) { ASSERT_TRUE(out_vec.has_value()); }
|
|
}
|
|
sc.stop();
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, DesyncObjectConsumedByTwoIslandsViaSeparateDesync) {
|
|
// See comment in the implementation of cv::gapi::streaming::desync (.cpp)
|
|
cv::GMat in;
|
|
cv::GMat tmp = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
cv::GMat tmp1 = cv::gapi::streaming::desync(tmp);
|
|
cv::GMat out1 = cv::gapi::copy(tmp1); // ran via Streaming backend
|
|
|
|
cv::GMat tmp2 = cv::gapi::streaming::desync(tmp);
|
|
cv::GMat out2 = tmp2 * 0.5; // ran via OCV backend
|
|
|
|
auto c = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2));
|
|
|
|
EXPECT_NO_THROW(c.compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Desync, DesyncObjectConsumedByTwoIslandsViaSameDesync) {
|
|
// See comment in the implementation of cv::gapi::streaming::desync (.cpp)
|
|
cv::GMat in;
|
|
cv::GMat tmp = cv::gapi::boxFilter(in, -1, cv::Size(3,3));
|
|
|
|
cv::GMat tmp1 = cv::gapi::streaming::desync(tmp);
|
|
cv::GMat out1 = cv::gapi::copy(tmp1); // ran via Streaming backend
|
|
cv::GMat out2 = out1 - 0.5*tmp1; // ran via OCV backend
|
|
|
|
auto c = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2));
|
|
|
|
EXPECT_NO_THROW(c.compileStreaming());
|
|
}
|
|
|
|
TEST(GAPI_Streaming, CopyFrame)
|
|
{
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
|
|
cv::GFrame in;
|
|
auto out = cv::gapi::copy(in);
|
|
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
try {
|
|
cc.setSource<BGRSource>(filepath);
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::MediaFrame frame;
|
|
cv::Mat ocv_mat;
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(frame)) && num_frames < max_frames)
|
|
{
|
|
auto view = frame.access(cv::MediaFrame::Access::R);
|
|
cv::Mat gapi_mat(frame.desc().size, CV_8UC3, view.ptr[0]);
|
|
num_frames++;
|
|
cap >> ocv_mat;
|
|
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat, gapi_mat, NORM_INF));
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming, CopyFrameGray)
|
|
{
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
|
|
cv::GFrame in;
|
|
auto out = cv::gapi::copy(in);
|
|
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
try {
|
|
cc.setSource<GRAYSource>(filepath);
|
|
}
|
|
catch (...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::MediaFrame frame;
|
|
cv::Mat ocv_mat;
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(frame)) && num_frames < max_frames)
|
|
{
|
|
auto view = frame.access(cv::MediaFrame::Access::R);
|
|
cv::Mat gapi_mat(frame.desc().size, CV_8UC1, view.ptr[0]);
|
|
num_frames++;
|
|
cap >> ocv_mat;
|
|
cv::Mat gray;
|
|
cvtColor(ocv_mat, gray, cv::COLOR_BGR2GRAY);
|
|
EXPECT_EQ(0, cvtest::norm(gray, gapi_mat, NORM_INF));
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming, CopyMat)
|
|
{
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
|
|
cv::GMat in;
|
|
auto out = cv::gapi::copy(in);
|
|
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
try {
|
|
cc.setSource<cv::gapi::wip::GCaptureSource>(filepath);
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::Mat out_mat;
|
|
cv::Mat ocv_mat;
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(out_mat)) && num_frames < max_frames)
|
|
{
|
|
num_frames++;
|
|
cap >> ocv_mat;
|
|
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat, out_mat, NORM_INF));
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming, Reshape)
|
|
{
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
|
|
cv::GFrame in;
|
|
auto out = cv::gapi::copy(in);
|
|
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
try {
|
|
cc.setSource<BGRSource>(filepath);
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::MediaFrame frame;
|
|
cv::Mat ocv_mat;
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(frame)) && num_frames < max_frames)
|
|
{
|
|
auto view = frame.access(cv::MediaFrame::Access::R);
|
|
cv::Mat gapi_mat(frame.desc().size, CV_8UC3, view.ptr[0]);
|
|
num_frames++;
|
|
cap >> ocv_mat;
|
|
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat, gapi_mat, NORM_INF));
|
|
}
|
|
|
|
// Reshape the graph meta
|
|
filepath = findDataFile("cv/video/1920x1080.avi");
|
|
cc.stop();
|
|
try {
|
|
cc.setSource<BGRSource>(filepath);
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::MediaFrame frame2;
|
|
cv::Mat ocv_mat2;
|
|
|
|
num_frames = 0u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(frame2)) && num_frames < max_frames)
|
|
{
|
|
auto view = frame2.access(cv::MediaFrame::Access::R);
|
|
cv::Mat gapi_mat(frame2.desc().size, CV_8UC3, view.ptr[0]);
|
|
num_frames++;
|
|
cap >> ocv_mat2;
|
|
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat2, gapi_mat, NORM_INF));
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming, ReshapeGray)
|
|
{
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
|
|
cv::GFrame in;
|
|
auto out = cv::gapi::copy(in);
|
|
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
try {
|
|
cc.setSource<GRAYSource>(filepath);
|
|
}
|
|
catch (...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::MediaFrame frame;
|
|
cv::Mat ocv_mat;
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(frame)) && num_frames < max_frames)
|
|
{
|
|
auto view = frame.access(cv::MediaFrame::Access::R);
|
|
cv::Mat gapi_mat(frame.desc().size, CV_8UC1, view.ptr[0]);
|
|
num_frames++;
|
|
cap >> ocv_mat;
|
|
cv::Mat gray;
|
|
cvtColor(ocv_mat, gray, cv::COLOR_BGR2GRAY);
|
|
EXPECT_EQ(0, cvtest::norm(gray, gapi_mat, NORM_INF));
|
|
}
|
|
|
|
// Reshape the graph meta
|
|
filepath = findDataFile("cv/video/1920x1080.avi");
|
|
cc.stop();
|
|
try {
|
|
cc.setSource<GRAYSource>(filepath);
|
|
}
|
|
catch (...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
|
|
cap.open(filepath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::MediaFrame frame2;
|
|
cv::Mat ocv_mat2;
|
|
|
|
num_frames = 0u;
|
|
|
|
cc.start();
|
|
while (cc.pull(cv::gout(frame2)) && num_frames < max_frames)
|
|
{
|
|
auto view = frame2.access(cv::MediaFrame::Access::R);
|
|
cv::Mat gapi_mat(frame2.desc().size, CV_8UC1, view.ptr[0]);
|
|
num_frames++;
|
|
cap >> ocv_mat2;
|
|
cv::Mat gray;
|
|
cvtColor(ocv_mat2, gray, cv::COLOR_BGR2GRAY);
|
|
EXPECT_EQ(0, cvtest::norm(gray, gapi_mat, NORM_INF));
|
|
}
|
|
}
|
|
|
|
|
|
namespace {
|
|
enum class TestSourceType {
|
|
BGR,
|
|
NV12,
|
|
GRAY
|
|
};
|
|
std::ostream& operator<<(std::ostream& os, TestSourceType a) {
|
|
os << "Source:";
|
|
switch (a) {
|
|
case TestSourceType::BGR: return os << "BGR";
|
|
case TestSourceType::NV12: return os << "NV12";
|
|
case TestSourceType::GRAY: return os << "GRAY";
|
|
default: CV_Assert(false && "unknown TestSourceType");
|
|
}
|
|
}
|
|
|
|
cv::gapi::wip::IStreamSource::Ptr createTestSource(TestSourceType sourceType,
|
|
const std::string& pipeline) {
|
|
assert(sourceType == TestSourceType::BGR || sourceType == TestSourceType::NV12 || sourceType == TestSourceType::GRAY);
|
|
|
|
cv::gapi::wip::IStreamSource::Ptr ptr { };
|
|
|
|
switch (sourceType) {
|
|
case TestSourceType::BGR: {
|
|
try {
|
|
ptr = cv::gapi::wip::make_src<BGRSource>(pipeline);
|
|
}
|
|
catch(...) {
|
|
throw SkipTestException(std::string("BGRSource for '") + pipeline +
|
|
"' couldn't be created!");
|
|
}
|
|
break;
|
|
}
|
|
case TestSourceType::NV12: {
|
|
try {
|
|
ptr = cv::gapi::wip::make_src<NV12Source>(pipeline);
|
|
}
|
|
catch(...) {
|
|
throw SkipTestException(std::string("NV12Source for '") + pipeline +
|
|
"' couldn't be created!");
|
|
}
|
|
break;
|
|
}
|
|
case TestSourceType::GRAY: {
|
|
try {
|
|
ptr = cv::gapi::wip::make_src<GRAYSource>(pipeline);
|
|
}
|
|
catch (...) {
|
|
throw SkipTestException(std::string("GRAYSource for '") + pipeline +
|
|
"' couldn't be created!");
|
|
}
|
|
break;
|
|
}
|
|
default: {
|
|
throw SkipTestException("Incorrect type of source! "
|
|
"Something went wrong in the test!");
|
|
}
|
|
}
|
|
|
|
return ptr;
|
|
}
|
|
|
|
enum class TestAccessType {
|
|
BGR,
|
|
Y,
|
|
UV
|
|
};
|
|
std::ostream& operator<<(std::ostream& os, TestAccessType a) {
|
|
os << "Accessor:";
|
|
switch (a) {
|
|
case TestAccessType::BGR: return os << "BGR";
|
|
case TestAccessType::Y: return os << "Y";
|
|
case TestAccessType::UV: return os << "UV";
|
|
default: CV_Assert(false && "unknown TestAccessType");
|
|
}
|
|
}
|
|
|
|
using GapiFunction = std::function<cv::GMat(const cv::GFrame&)>;
|
|
static std::map<TestAccessType, GapiFunction> gapi_functions = {
|
|
{ TestAccessType::BGR, cv::gapi::streaming::BGR },
|
|
{ TestAccessType::Y, cv::gapi::streaming::Y },
|
|
{ TestAccessType::UV, cv::gapi::streaming::UV }
|
|
};
|
|
|
|
using RefFunction = std::function<cv::Mat(const cv::Mat&)>;
|
|
static std::map<std::pair<TestSourceType,TestAccessType>, RefFunction> ref_functions = {
|
|
{ std::make_pair(TestSourceType::BGR, TestAccessType::BGR),
|
|
[](const cv::Mat& bgr) { return bgr; } },
|
|
{ std::make_pair(TestSourceType::BGR, TestAccessType::Y),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat y, uv;
|
|
cvtBGR2NV12(bgr, y, uv);
|
|
return y;
|
|
} },
|
|
{ std::make_pair(TestSourceType::BGR, TestAccessType::UV),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat y, uv;
|
|
cvtBGR2NV12(bgr, y, uv);
|
|
return uv;
|
|
} },
|
|
{ std::make_pair(TestSourceType::NV12, TestAccessType::BGR),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat y, uv, out_bgr;
|
|
cvtBGR2NV12(bgr, y, uv);
|
|
cv::cvtColorTwoPlane(y, uv, out_bgr,
|
|
cv::COLOR_YUV2BGR_NV12);
|
|
return out_bgr;
|
|
} },
|
|
{ std::make_pair(TestSourceType::NV12, TestAccessType::Y),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat y, uv;
|
|
cvtBGR2NV12(bgr, y, uv);
|
|
return y;
|
|
} },
|
|
{ std::make_pair(TestSourceType::NV12, TestAccessType::UV),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat y, uv;
|
|
cvtBGR2NV12(bgr, y, uv);
|
|
return uv;
|
|
} },
|
|
{ std::make_pair(TestSourceType::GRAY, TestAccessType::BGR),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat gray;
|
|
cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY);
|
|
cv::Mat out_bgr;
|
|
cv::cvtColor(gray, out_bgr, cv::COLOR_GRAY2BGR);
|
|
return out_bgr;
|
|
} },
|
|
{ std::make_pair(TestSourceType::GRAY, TestAccessType::Y),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat gray;
|
|
cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY);
|
|
return gray;
|
|
} },
|
|
{ std::make_pair(TestSourceType::GRAY, TestAccessType::UV),
|
|
[](const cv::Mat& bgr) {
|
|
cv::Mat uv(bgr.size() / 2, CV_8UC2, cv::Scalar::all(127));
|
|
return uv;
|
|
} },
|
|
};
|
|
} // anonymous namespace
|
|
|
|
struct GAPI_Accessors_In_Streaming : public TestWithParam<
|
|
std::tuple<std::string,TestSourceType,TestAccessType>>
|
|
{ };
|
|
|
|
|
|
TEST_P(GAPI_Accessors_In_Streaming, AccuracyTest)
|
|
{
|
|
std::string filepath{};
|
|
TestSourceType sourceType = TestSourceType::BGR;
|
|
TestAccessType accessType = TestAccessType::BGR;
|
|
std::tie(filepath, sourceType, accessType) = GetParam();
|
|
auto accessor = gapi_functions[accessType];
|
|
auto fromBGR = ref_functions[std::make_pair(sourceType, accessType)];
|
|
|
|
const std::string& absFilePath = findDataFile(filepath);
|
|
|
|
cv::GFrame in;
|
|
cv::GMat out = accessor(in);
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
auto src = createTestSource(sourceType, absFilePath);
|
|
cc.setSource(src);
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(absFilePath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::Mat cap_mat, ocv_mat, gapi_mat;
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (num_frames < max_frames && cc.pull(cv::gout(gapi_mat)))
|
|
{
|
|
num_frames++;
|
|
cap >> cap_mat;
|
|
ocv_mat = fromBGR(cap_mat);
|
|
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat, gapi_mat, NORM_INF));
|
|
}
|
|
|
|
cc.stop();
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(TestAccessor, GAPI_Accessors_In_Streaming,
|
|
Combine(Values("cv/video/768x576.avi"),
|
|
Values(TestSourceType::BGR, TestSourceType::NV12, TestSourceType::GRAY),
|
|
Values(TestAccessType::BGR, TestAccessType::Y, TestAccessType::UV)
|
|
));
|
|
|
|
|
|
struct GAPI_Accessors_Meta_In_Streaming : public TestWithParam<
|
|
std::tuple<std::string,TestSourceType,TestAccessType>>
|
|
{ };
|
|
|
|
TEST_P(GAPI_Accessors_Meta_In_Streaming, AccuracyTest)
|
|
{
|
|
std::string filepath{};
|
|
TestSourceType sourceType = TestSourceType::BGR;
|
|
TestAccessType accessType = TestAccessType::BGR;
|
|
std::tie(filepath, sourceType, accessType) = GetParam();
|
|
auto accessor = gapi_functions[accessType];
|
|
auto fromBGR = ref_functions[std::make_pair(sourceType, accessType)];
|
|
|
|
const std::string& absFilePath = findDataFile(filepath);
|
|
|
|
cv::GFrame in;
|
|
cv::GMat gmat = accessor(in);
|
|
cv::GMat resized = cv::gapi::resize(gmat, cv::Size(1920, 1080));
|
|
cv::GOpaque<int64_t> outId = cv::gapi::streaming::seq_id(resized);
|
|
cv::GOpaque<int64_t> outTs = cv::gapi::streaming::timestamp(resized);
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(resized, outId, outTs));
|
|
|
|
auto cc = comp.compileStreaming();
|
|
auto src = createTestSource(sourceType, absFilePath);
|
|
cc.setSource(src);
|
|
|
|
cv::VideoCapture cap;
|
|
cap.open(absFilePath);
|
|
if (!cap.isOpened())
|
|
throw SkipTestException("Video file can not be opened");
|
|
|
|
cv::Mat cap_mat, req_mat, ocv_mat, gapi_mat;
|
|
int64_t seq_id = 0, timestamp = 0;
|
|
std::set<int64_t> all_seq_ids;
|
|
std::vector<int64_t> all_timestamps;
|
|
|
|
std::size_t num_frames = 0u;
|
|
std::size_t max_frames = 10u;
|
|
|
|
cc.start();
|
|
while (num_frames < max_frames && cc.pull(cv::gout(gapi_mat, seq_id, timestamp)))
|
|
{
|
|
num_frames++;
|
|
|
|
cap >> cap_mat;
|
|
req_mat = fromBGR(cap_mat);
|
|
cv::resize(req_mat, ocv_mat, cv::Size(1920, 1080));
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat, gapi_mat, NORM_INF));
|
|
|
|
all_seq_ids.insert(seq_id);
|
|
all_timestamps.push_back(timestamp);
|
|
}
|
|
|
|
cc.stop();
|
|
|
|
EXPECT_EQ(all_seq_ids.begin(), all_seq_ids.find(0L));
|
|
auto last_elem_it = --all_seq_ids.end();
|
|
EXPECT_EQ(last_elem_it, all_seq_ids.find(int64_t(max_frames - 1L)));
|
|
EXPECT_EQ(max_frames, all_seq_ids.size());
|
|
|
|
EXPECT_EQ(max_frames, all_timestamps.size());
|
|
EXPECT_TRUE(std::is_sorted(all_timestamps.begin(), all_timestamps.end()));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(AccessorMeta, GAPI_Accessors_Meta_In_Streaming,
|
|
Combine(Values("cv/video/768x576.avi"),
|
|
Values(TestSourceType::BGR, TestSourceType::NV12, TestSourceType::GRAY),
|
|
Values(TestAccessType::BGR, TestAccessType::Y, TestAccessType::UV)
|
|
));
|
|
|
|
TEST(GAPI_Streaming, TestPythonAPI)
|
|
{
|
|
cv::Size sz(200, 200);
|
|
cv::Mat in_mat(sz, CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar(255));
|
|
const auto crop_rc = cv::Rect(13, 75, 100, 100);
|
|
|
|
// OpenCV reference image
|
|
cv::Mat ocv_mat;
|
|
{
|
|
ocv_mat = in_mat(crop_rc);
|
|
}
|
|
|
|
cv::GMat in;
|
|
auto roi = cv::gapi::crop(in, crop_rc);
|
|
cv::GComputation comp(cv::GIn(in), cv::GOut(roi));
|
|
|
|
// NB: Used by python bridge
|
|
auto cc = comp.compileStreaming(cv::detail::ExtractMetaCallback{[&](const cv::GTypesInfo& info)
|
|
{
|
|
GAPI_Assert(info.size() == 1u);
|
|
GAPI_Assert(info[0].shape == cv::GShape::GMAT);
|
|
return cv::GMetaArgs{cv::GMetaArg{cv::descr_of(in_mat)}};
|
|
}});
|
|
|
|
// NB: Used by python bridge
|
|
cc.setSource(cv::detail::ExtractArgsCallback{[&](const cv::GTypesInfo& info)
|
|
{
|
|
GAPI_Assert(info.size() == 1u);
|
|
GAPI_Assert(info[0].shape == cv::GShape::GMAT);
|
|
return cv::GRunArgs{in_mat};
|
|
}});
|
|
|
|
cc.start();
|
|
|
|
bool is_over = false;
|
|
cv::GRunArgs out_args;
|
|
using RunArgs = cv::util::variant<cv::GRunArgs, cv::GOptRunArgs>;
|
|
RunArgs args;
|
|
|
|
// NB: Used by python bridge
|
|
std::tie(is_over, args) = cc.pull();
|
|
|
|
switch (args.index()) {
|
|
case RunArgs::index_of<cv::GRunArgs>():
|
|
out_args = util::get<cv::GRunArgs>(args); break;
|
|
default: GAPI_Error("Incorrect type of return value");
|
|
}
|
|
|
|
ASSERT_EQ(1u, out_args.size());
|
|
ASSERT_TRUE(cv::util::holds_alternative<cv::Mat>(out_args[0]));
|
|
|
|
EXPECT_EQ(0, cvtest::norm(ocv_mat, cv::util::get<cv::Mat>(out_args[0]), NORM_INF));
|
|
EXPECT_TRUE(is_over);
|
|
|
|
cc.stop();
|
|
}
|
|
|
|
#ifdef HAVE_ONEVPL
|
|
|
|
TEST(OneVPL_Source, Init)
|
|
{
|
|
using CfgParam = cv::gapi::wip::onevpl::CfgParam;
|
|
|
|
std::vector<CfgParam> src_params;
|
|
src_params.push_back(CfgParam::create_implementation(MFX_IMPL_TYPE_HARDWARE));
|
|
#ifdef _WIN32
|
|
src_params.push_back(CfgParam::create_acceleration_mode(MFX_ACCEL_MODE_VIA_D3D11));
|
|
#elif defined(__linux__)
|
|
src_params.push_back(CfgParam::create_acceleration_mode(MFX_ACCEL_MODE_VIA_VAAPI));
|
|
#endif
|
|
src_params.push_back(CfgParam::create_decoder_id(MFX_CODEC_HEVC));
|
|
std::stringstream stream(std::ios_base::in | std::ios_base::out | std::ios_base::binary);
|
|
|
|
EXPECT_TRUE(stream.write(reinterpret_cast<char*>(const_cast<unsigned char *>(streaming::onevpl::hevc_header)),
|
|
sizeof(streaming::onevpl::hevc_header)));
|
|
std::shared_ptr<cv::gapi::wip::onevpl::IDataProvider> stream_data_provider =
|
|
std::make_shared<streaming::onevpl::StreamDataProvider>(stream);
|
|
|
|
cv::Ptr<cv::gapi::wip::IStreamSource> cap;
|
|
bool cap_created = false;
|
|
try {
|
|
cap = cv::gapi::wip::make_onevpl_src(stream_data_provider, src_params);
|
|
cap_created = true;
|
|
} catch (const std::exception&) {
|
|
}
|
|
ASSERT_TRUE(cap_created);
|
|
|
|
cv::gapi::wip::Data out;
|
|
while (cap->pull(out)) {
|
|
(void)out;
|
|
}
|
|
EXPECT_TRUE(stream_data_provider->empty());
|
|
}
|
|
#endif // HAVE_ONEVPL
|
|
|
|
TEST(GAPI_Streaming, TestDesyncRMat) {
|
|
cv::GMat in;
|
|
auto blurred = cv::gapi::blur(in, cv::Size{3,3});
|
|
auto desynced = cv::gapi::streaming::desync(blurred);
|
|
auto out = in - blurred;
|
|
auto pipe = cv::GComputation(cv::GIn(in), cv::GOut(desynced, out)).compileStreaming();
|
|
|
|
cv::Size sz(32,32);
|
|
cv::Mat in_mat(sz, CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar(255));
|
|
pipe.setSource(cv::gin(in_mat));
|
|
pipe.start();
|
|
|
|
cv::optional<cv::RMat> out_desync;
|
|
cv::optional<cv::RMat> out_rmat;
|
|
while (true) {
|
|
// Initially it threw "bad variant access" since there was
|
|
// no RMat handling in wrap_opt_arg
|
|
EXPECT_NO_THROW(pipe.pull(cv::gout(out_desync, out_rmat)));
|
|
if (out_rmat) break;
|
|
}
|
|
}
|
|
|
|
G_API_OP(GTestBlur, <GFrame(GFrame)>, "test.blur") {
|
|
static GFrameDesc outMeta(GFrameDesc d) { return d; }
|
|
};
|
|
GAPI_OCV_KERNEL(GOcvTestBlur, GTestBlur) {
|
|
static void run(const cv::MediaFrame& in, cv::MediaFrame& out) {
|
|
auto d = in.desc();
|
|
GAPI_Assert(d.fmt == cv::MediaFormat::BGR);
|
|
auto view = in.access(cv::MediaFrame::Access::R);
|
|
cv::Mat mat(d.size, CV_8UC3, view.ptr[0]);
|
|
cv::Mat blurred;
|
|
cv::blur(mat, blurred, cv::Size{3,3});
|
|
out = cv::MediaFrame::Create<TestMediaBGR>(blurred);
|
|
}
|
|
};
|
|
|
|
TEST(GAPI_Streaming, TestDesyncMediaFrame) {
|
|
cv::GFrame in;
|
|
auto blurred = GTestBlur::on(in);
|
|
auto desynced = cv::gapi::streaming::desync(blurred);
|
|
auto out = GTestBlur::on(blurred);
|
|
auto pipe = cv::GComputation(cv::GIn(in), cv::GOut(desynced, out))
|
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<GOcvTestBlur>()));
|
|
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
pipe.setSource<BGRSource>(filepath);
|
|
} catch(...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
pipe.start();
|
|
|
|
cv::optional<cv::MediaFrame> out_desync;
|
|
cv::optional<cv::MediaFrame> out_frame;
|
|
while (true) {
|
|
// Initially it threw "bad variant access" since there was
|
|
// no MediaFrame handling in wrap_opt_arg
|
|
EXPECT_NO_THROW(pipe.pull(cv::gout(out_desync, out_frame)));
|
|
if (out_frame) break;
|
|
}
|
|
}
|
|
|
|
G_API_OP(GTestBlurGray, <GFrame(GFrame)>, "test.blur_gray") {
|
|
static GFrameDesc outMeta(GFrameDesc d) { return d; }
|
|
};
|
|
GAPI_OCV_KERNEL(GOcvTestBlurGray, GTestBlurGray) {
|
|
static void run(const cv::MediaFrame & in, cv::MediaFrame & out) {
|
|
auto d = in.desc();
|
|
GAPI_Assert(d.fmt == cv::MediaFormat::GRAY);
|
|
auto view = in.access(cv::MediaFrame::Access::R);
|
|
cv::Mat mat(d.size, CV_8UC1, view.ptr[0]);
|
|
cv::Mat blurred;
|
|
cv::blur(mat, blurred, cv::Size{ 3,3 });
|
|
out = cv::MediaFrame::Create<TestMediaGRAY>(blurred);
|
|
}
|
|
};
|
|
|
|
TEST(GAPI_Streaming, TestDesyncMediaFrameGray) {
|
|
cv::GFrame in;
|
|
auto blurred = GTestBlurGray::on(in);
|
|
auto desynced = cv::gapi::streaming::desync(blurred);
|
|
auto out = GTestBlurGray::on(blurred);
|
|
auto pipe = cv::GComputation(cv::GIn(in), cv::GOut(desynced, out))
|
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<GOcvTestBlurGray>()));
|
|
|
|
std::string filepath = findDataFile("cv/video/768x576.avi");
|
|
try {
|
|
pipe.setSource<GRAYSource>(filepath);
|
|
}
|
|
catch (...) {
|
|
throw SkipTestException("Video file can not be opened");
|
|
}
|
|
pipe.start();
|
|
|
|
cv::optional<cv::MediaFrame> out_desync;
|
|
cv::optional<cv::MediaFrame> out_frame;
|
|
while (true) {
|
|
// Initially it threw "bad variant access" since there was
|
|
// no MediaFrame handling in wrap_opt_arg
|
|
EXPECT_NO_THROW(pipe.pull(cv::gout(out_desync, out_frame)));
|
|
if (out_frame) break;
|
|
}
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Exception, SingleKernelThrow) {
|
|
cv::GMat in;
|
|
auto pipeline = cv::GComputation(in, GThrowExceptionOp::on(in))
|
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<GThrowExceptionKernel>()));
|
|
|
|
cv::Mat in_mat(cv::Size(300, 300), CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar::all(255));
|
|
pipeline.setSource(cv::gin(in_mat));
|
|
pipeline.start();
|
|
|
|
EXPECT_THROW(
|
|
try {
|
|
cv::Mat out_mat;
|
|
pipeline.pull(cv::gout(out_mat));
|
|
} catch (const std::logic_error& e) {
|
|
EXPECT_EQ(GThrowExceptionKernel::exception_msg(), e.what());
|
|
throw;
|
|
}, std::logic_error);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Exception, StreamingBackendExceptionAsInput) {
|
|
cv::GMat in;
|
|
auto pipeline = cv::GComputation(in,
|
|
cv::gapi::copy(GThrowExceptionOp::on(in)))
|
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<GThrowExceptionKernel>()));
|
|
|
|
cv::Mat in_mat(cv::Size(300, 300), CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar::all(255));
|
|
pipeline.setSource(cv::gin(in_mat));
|
|
pipeline.start();
|
|
|
|
EXPECT_THROW(
|
|
try {
|
|
cv::Mat out_mat;
|
|
pipeline.pull(cv::gout(out_mat));
|
|
} catch (const std::logic_error& e) {
|
|
EXPECT_EQ(GThrowExceptionKernel::exception_msg(), e.what());
|
|
throw;
|
|
}, std::logic_error);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Exception, RegularBacckendsExceptionAsInput) {
|
|
cv::GMat in;
|
|
auto pipeline = cv::GComputation(in,
|
|
cv::gapi::add(GThrowExceptionOp::on(in), GThrowExceptionOp::on(in)))
|
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<GThrowExceptionKernel>()));
|
|
|
|
cv::Mat in_mat(cv::Size(300, 300), CV_8UC3);
|
|
cv::randu(in_mat, cv::Scalar::all(0), cv::Scalar::all(255));
|
|
pipeline.setSource(cv::gin(in_mat));
|
|
pipeline.start();
|
|
|
|
EXPECT_THROW(
|
|
try {
|
|
cv::Mat out_mat;
|
|
pipeline.pull(cv::gout(out_mat));
|
|
} catch (const std::logic_error& e) {
|
|
EXPECT_EQ(GThrowExceptionKernel::exception_msg(), e.what());
|
|
throw;
|
|
}, std::logic_error);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Exception, SourceThrow) {
|
|
cv::GMat in;
|
|
auto pipeline = cv::GComputation(in, cv::gapi::copy(in)).compileStreaming();
|
|
|
|
pipeline.setSource(std::make_shared<InvalidSource>(1u, 1u));
|
|
pipeline.start();
|
|
|
|
EXPECT_THROW(
|
|
try {
|
|
cv::Mat out_mat;
|
|
pipeline.pull(cv::gout(out_mat));
|
|
} catch (const std::logic_error& e) {
|
|
EXPECT_EQ(InvalidSource::exception_msg(), e.what());
|
|
throw;
|
|
}, std::logic_error);
|
|
}
|
|
|
|
TEST(GAPI_Streaming_Exception, SourceThrowEverySecondFrame) {
|
|
constexpr size_t throw_every_nth_frame = 2u;
|
|
constexpr size_t num_frames = 10u;
|
|
size_t curr_frame = 0;
|
|
bool has_frame = true;
|
|
cv::Mat out_mat;
|
|
|
|
cv::GMat in;
|
|
auto pipeline = cv::GComputation(in, cv::gapi::copy(in)).compileStreaming();
|
|
|
|
pipeline.setSource(std::make_shared<InvalidSource>(throw_every_nth_frame, num_frames));
|
|
pipeline.start();
|
|
while (has_frame) {
|
|
++curr_frame;
|
|
try {
|
|
has_frame = pipeline.pull(cv::gout(out_mat));
|
|
} catch (const std::exception& e) {
|
|
EXPECT_TRUE(curr_frame % throw_every_nth_frame == 0);
|
|
EXPECT_EQ(InvalidSource::exception_msg(), e.what());
|
|
}
|
|
}
|
|
|
|
// NB: Pull was called num_frames + 1(stop).
|
|
EXPECT_EQ(num_frames, curr_frame - 1);
|
|
}
|
|
|
|
} // namespace opencv_test
|