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Open Source Computer Vision Library
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1591 lines
50 KiB
1591 lines
50 KiB
// 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) 2019-2020 Intel Corporation |
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#include "../test_precomp.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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namespace opencv_test |
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{ |
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namespace |
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{ |
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void initTestDataPath() |
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{ |
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#ifndef WINRT |
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static bool initialized = false; |
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if (!initialized) |
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{ |
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// Since G-API has no own test data (yet), it is taken from the common space |
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const char* testDataPath = getenv("OPENCV_TEST_DATA_PATH"); |
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if (testDataPath) { |
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cvtest::addDataSearchPath(testDataPath); |
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} |
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initialized = true; |
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} |
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#endif // WINRT |
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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_Assert(false); |
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} |
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return os; |
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} |
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struct GAPI_Streaming: public ::testing::TestWithParam<KernelPackage> { |
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GAPI_Streaming() { initTestDataPath(); } |
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cv::gapi::GKernelPackage getKernelPackage() |
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{ |
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using namespace cv::gapi; |
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switch (GetParam()) |
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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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}; |
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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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} // 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), |
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cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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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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EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF)); |
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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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cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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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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EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF)); |
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} |
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EXPECT_LT(0u, frames); |
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EXPECT_FALSE(ccomp.running()); |
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// Stop can be called at any time (even if the pipeline is not 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, Regression_CompileTimeScalar) |
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{ |
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// There was a bug with compile-time GScalars. Compile-time |
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// GScalars generate their own DATA nodes at GModel/GIslandModel |
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// level, resulting in an extra link at the GIslandModel level, so |
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// GStreamingExecutor automatically assigned an input queue to |
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// such edges. Since there were no in-graph producer for that |
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// data, no data were pushed to such queue what lead to a |
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// deadlock. |
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cv::GMat in; |
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cv::GMat tmp = cv::gapi::copy(in); |
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for (int i = 0; i < 3; i++) { |
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tmp = tmp & cv::gapi::blur(in, cv::Size(3,3)); |
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} |
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cv::GComputation c(cv::GIn(in), cv::GOut(tmp, tmp + 1)); |
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auto ccomp = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,512}}, |
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cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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cv::Mat in_mat = cv::imread(findDataFile("cv/edgefilter/kodim23.png")); |
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cv::Mat out_mat1, out_mat2; |
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// Fetch the result 15 times |
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ccomp.setSource(cv::gin(in_mat)); |
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ccomp.start(); |
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for (int i = 0; i < 15; i++) { |
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EXPECT_TRUE(ccomp.pull(cv::gout(out_mat1, out_mat2))); |
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} |
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ccomp.stop(); |
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} |
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TEST_P(GAPI_Streaming, SmokeTest_StartRestart) |
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{ |
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cv::GMat in; |
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auto res = cv::gapi::resize(in, cv::Size{300,200}); |
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auto out = cv::gapi::Canny(res, 95, 220); |
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cv::GComputation c(cv::GIn(in), cv::GOut(cv::gapi::copy(in), out)); |
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auto ccomp = c.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}}, |
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cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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EXPECT_TRUE(ccomp); |
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EXPECT_FALSE(ccomp.running()); |
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// Run 1 |
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auto path = findDataFile("cv/video/768x576.avi"); |
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std::size_t num_frames1 = 0u; |
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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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cv::Mat out1, out2; |
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while (ccomp.pull(cv::gout(out1, out2))) num_frames1++; |
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EXPECT_FALSE(ccomp.running()); |
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// Run 2 |
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std::size_t num_frames2 = 0u; |
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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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while (ccomp.pull(cv::gout(out1, out2))) num_frames2++; |
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EXPECT_FALSE(ccomp.running()); |
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EXPECT_LT(0u, num_frames1); |
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EXPECT_LT(0u, num_frames2); |
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EXPECT_EQ(num_frames1, num_frames2); |
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} |
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TEST_P(GAPI_Streaming, SmokeTest_VideoConstSource_NoHang) |
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{ |
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// A video source is a finite one, while const source is not. |
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// Check that pipeline completes when a video source completes. |
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auto refc = cv::GComputation([](){ |
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cv::GMat in; |
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return cv::GComputation(in, cv::gapi::copy(in)); |
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}).compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{768,576}}, |
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cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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auto path = findDataFile("cv/video/768x576.avi"); |
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try { |
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refc.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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refc.start(); |
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std::size_t ref_frames = 0u; |
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cv::Mat tmp; |
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while (refc.pull(cv::gout(tmp))) ref_frames++; |
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EXPECT_EQ(100u, ref_frames); |
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cv::GMat in; |
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cv::GMat in2; |
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cv::GMat roi = cv::gapi::crop(in2, cv::Rect{1,1,256,256}); |
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cv::GMat blr = cv::gapi::blur(roi, cv::Size(3,3)); |
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cv::GMat out = blr - in; |
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auto testc = cv::GComputation(cv::GIn(in, in2), cv::GOut(out)) |
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.compileStreaming(cv::GMatDesc{CV_8U,3,cv::Size{256,256}}, |
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cv::GMatDesc{CV_8U,3,cv::Size{768,576}}, |
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cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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cv::Mat in_const = cv::Mat::eye(cv::Size(256,256), CV_8UC3); |
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testc.setSource(cv::gin(in_const, |
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gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path))); |
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testc.start(); |
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std::size_t test_frames = 0u; |
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while (testc.pull(cv::gout(tmp))) test_frames++; |
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EXPECT_EQ(ref_frames, test_frames); |
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} |
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TEST_P(GAPI_Streaming, SmokeTest_AutoMeta) |
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{ |
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cv::GMat in; |
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cv::GMat in2; |
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cv::GMat roi = cv::gapi::crop(in2, cv::Rect{1,1,256,256}); |
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cv::GMat blr = cv::gapi::blur(roi, cv::Size(3,3)); |
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cv::GMat out = blr - in; |
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auto testc = cv::GComputation(cv::GIn(in, in2), cv::GOut(out)) |
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.compileStreaming(cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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cv::Mat in_const = cv::Mat::eye(cv::Size(256,256), CV_8UC3); |
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cv::Mat tmp; |
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// Test with one video source |
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auto path = findDataFile("cv/video/768x576.avi"); |
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try { |
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testc.setSource(cv::gin(in_const, 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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testc.start(); |
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std::size_t test_frames = 0u; |
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while (testc.pull(cv::gout(tmp))) test_frames++; |
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EXPECT_EQ(100u, test_frames); |
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// Now test with another one |
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path = findDataFile("cv/video/1920x1080.avi"); |
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try { |
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testc.setSource(cv::gin(in_const, 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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testc.start(); |
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test_frames = 0u; |
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while (testc.pull(cv::gout(tmp))) test_frames++; |
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EXPECT_EQ(165u, test_frames); |
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} |
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TEST_P(GAPI_Streaming, SmokeTest_AutoMeta_2xConstMat) |
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{ |
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cv::GMat in; |
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cv::GMat in2; |
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cv::GMat roi = cv::gapi::crop(in2, cv::Rect{1,1,256,256}); |
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cv::GMat blr = cv::gapi::blur(roi, cv::Size(3,3)); |
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cv::GMat out = blr - in; |
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auto testc = cv::GComputation(cv::GIn(in, in2), cv::GOut(out)) |
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.compileStreaming(cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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cv::Mat in_const = cv::Mat::eye(cv::Size(256,256), CV_8UC3); |
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cv::Mat tmp; |
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// Test with first image |
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auto in_src = cv::imread(findDataFile("cv/edgefilter/statue.png")); |
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testc.setSource(cv::gin(in_const, in_src)); |
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testc.start(); |
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ASSERT_TRUE(testc.pull(cv::gout(tmp))); |
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testc.stop(); |
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// Now test with second image |
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in_src = cv::imread(findDataFile("cv/edgefilter/kodim23.png")); |
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testc.setSource(cv::gin(in_const, in_src)); |
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testc.start(); |
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ASSERT_TRUE(testc.pull(cv::gout(tmp))); |
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testc.stop(); |
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} |
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TEST_P(GAPI_Streaming, SmokeTest_AutoMeta_VideoScalar) |
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{ |
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cv::GMat in_m; |
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cv::GScalar in_s; |
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cv::GMat out_m = in_m * in_s; |
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auto testc = cv::GComputation(cv::GIn(in_m, in_s), cv::GOut(out_m)) |
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.compileStreaming(cv::compile_args(cv::gapi::use_only{getKernelPackage()})); |
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cv::Mat tmp; |
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// Test with one video source and scalar |
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auto path = findDataFile("cv/video/768x576.avi"); |
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try { |
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testc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), cv::Scalar{1.25})); |
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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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testc.start(); |
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std::size_t test_frames = 0u; |
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while (testc.pull(cv::gout(tmp))) test_frames++; |
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EXPECT_EQ(100u, test_frames); |
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// Now test with another one video source and scalar |
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path = findDataFile("cv/video/1920x1080.avi"); |
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try { |
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testc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), cv::Scalar{0.75})); |
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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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testc.start(); |
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test_frames = 0u; |
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while (testc.pull(cv::gout(tmp))) test_frames++; |
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EXPECT_EQ(165u, test_frames); |
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} |
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INSTANTIATE_TEST_CASE_P(TestStreaming, GAPI_Streaming, |
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Values( KernelPackage::OCV |
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//, KernelPackage::OCL // FIXME: Fails bit-exactness check, maybe relax it? |
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, KernelPackage::OCV_FLUID |
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//, KernelPackage::OCL // FIXME: Fails bit-exactness check, maybe relax it? |
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)); |
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namespace TypesTest |
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{ |
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G_API_OP(SumV, <cv::GArray<int>(cv::GMat)>, "test.gapi.sumv") { |
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static cv::GArrayDesc outMeta(const cv::GMatDesc &) { |
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return cv::empty_array_desc(); |
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} |
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}; |
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G_API_OP(AddV, <cv::GMat(cv::GMat,cv::GArray<int>)>, "test.gapi.addv") { |
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static cv::GMatDesc outMeta(const cv::GMatDesc &in, const cv::GArrayDesc &) { |
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return in; |
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} |
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}; |
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GAPI_OCV_KERNEL(OCVSumV, SumV) { |
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static void run(const cv::Mat &in, std::vector<int> &out) { |
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CV_Assert(in.depth() == CV_8U); |
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const auto length = in.cols * in.channels(); |
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out.resize(length); |
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const uchar *ptr = in.ptr(0); |
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for (int c = 0; c < length; c++) { |
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out[c] = ptr[c]; |
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} |
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for (int r = 1; r < in.rows; r++) { |
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ptr = in.ptr(r); |
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for (int c = 0; c < length; c++) { |
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out[c] += ptr[c]; |
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} |
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} |
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} |
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}; |
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GAPI_OCV_KERNEL(OCVAddV, AddV) { |
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static void run(const cv::Mat &in, const std::vector<int> &inv, cv::Mat &out) { |
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CV_Assert(in.depth() == CV_8U); |
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const auto length = in.cols * in.channels(); |
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CV_Assert(length == static_cast<int>(inv.size())); |
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for (int r = 0; r < in.rows; r++) { |
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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 testc = cv::GComputation(cv::GIn(in_m, in_v), cv::GOut(out_m)) |
|
.compileStreaming(cv::compile_args(cv::gapi::kernels<TypesTest::OCVAddV>())); |
|
|
|
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. |
|
|
|
initTestDataPath(); |
|
|
|
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. |
|
|
|
initTestDataPath(); |
|
|
|
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 |
|
|
|
initTestDataPath(); |
|
|
|
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 |
|
|
|
initTestDataPath(); |
|
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::gapi::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)); |
|
}) |
|
{ |
|
initTestDataPath(); |
|
|
|
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_F(GAPI_Streaming_Unit, TestTwoVideoSourcesFail) |
|
{ |
|
auto c_desc = cv::GMatDesc{CV_8U,3,{768,576}}; |
|
auto m_desc = cv::descr_of(m); |
|
auto path = findDataFile("cv/video/768x576.avi"); |
|
try { |
|
sc = cc.compileStreaming(c_desc, m_desc); |
|
// FIXME: it should be EXPECT_NO_THROW() |
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path), m)); |
|
sc = cc.compileStreaming(m_desc, c_desc); |
|
// FIXME: it should be EXPECT_NO_THROW() |
|
sc.setSource(cv::gin(m, gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path))); |
|
} catch(...) { |
|
throw SkipTestException("Video file can not be opened"); |
|
} |
|
|
|
sc = cc.compileStreaming(c_desc, c_desc); |
|
auto c_ptr = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path); |
|
EXPECT_ANY_THROW(sc.setSource(cv::gin(c_ptr, c_ptr))); |
|
} |
|
|
|
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(cv::descr_of(in_mat)); |
|
|
|
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; |
|
std::tie(has_output, outputs) = ccomp.pull(); |
|
|
|
EXPECT_TRUE(has_output); |
|
EXPECT_EQ(1u, outputs.size()); |
|
|
|
auto out_mat = cv::util::get<cv::Mat>(outputs[0]); |
|
EXPECT_EQ(0., cv::norm(in_mat, out_mat, cv::NORM_INF)); |
|
|
|
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) |
|
{ |
|
initTestDataPath(); |
|
|
|
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 |
|
std::cout << "Got " << out1_hits << " out1's and " << out2_hits << " out2's" << std::endl; |
|
} |
|
|
|
TEST(GAPI_Streaming_Desync, SmokeTest_Streaming_TwoParts) |
|
{ |
|
initTestDataPath(); |
|
|
|
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) |
|
{ |
|
initTestDataPath(); |
|
|
|
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) |
|
{ |
|
initTestDataPath(); |
|
|
|
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) { |
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EXPECT_EQ(320, out_vec.value()[0]); |
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EXPECT_EQ(240, out_vec.value()[1]); |
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EXPECT_EQ( 3, out_int.value()); |
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} |
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} |
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} |
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|
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TEST(GAPI_Streaming_Desync, StartStop_Stress) { |
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auto sc = desyncTestObject(); |
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const cv::Mat in_mat = cv::Mat::eye(cv::Size(320,240), CV_8UC3); |
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|
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cv::optional<cv::Mat> out_mat; |
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cv::optional<std::vector<int> > out_vec; |
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cv::optional<int> out_int; |
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|
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for (int i = 0; i < 10; i++) { |
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sc.setSource(cv::gin(in_mat)); |
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sc.start(); |
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int counter = 0; |
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while (counter++ < 100) { |
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sc.pull(cv::gout(out_mat, out_vec, out_int)); |
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GAPI_Assert(out_mat || out_vec || out_int); |
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if (out_vec) { ASSERT_TRUE(out_int.has_value()); } |
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if (out_int) { ASSERT_TRUE(out_vec.has_value()); } |
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} |
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sc.stop(); |
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} |
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} |
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|
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GAPI_FLUID_KERNEL(FluidCopy, cv::gapi::core::GCopy, false) { |
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static const int Window = 1; |
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|
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static void run(const cv::gapi::fluid::View &in, |
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cv::gapi::fluid::Buffer &out) { |
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const uint8_t *in_ptr = in.InLineB(0); |
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uint8_t *out_ptr = out.OutLineB(0); |
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|
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const auto in_type = CV_MAKETYPE(in.meta().depth, in.meta().chan); |
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const auto out_type = CV_MAKETYPE(out.meta().depth, out.meta().chan); |
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GAPI_Assert(in_type == out_type); |
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std::copy_n(in_ptr, in.length()*CV_ELEM_SIZE(in_type), out_ptr); |
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} |
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}; |
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|
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|
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TEST(GAPI_Streaming_Desync, DesyncObjectConsumedByTwoIslandsViaSeparateDesync) { |
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// See comment in the implementation of cv::gapi::streaming::desync (.cpp) |
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cv::GMat in; |
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cv::GMat tmp = cv::gapi::boxFilter(in, -1, cv::Size(3,3)); |
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|
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cv::GMat tmp1 = cv::gapi::streaming::desync(tmp); |
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cv::GMat out1 = cv::gapi::copy(tmp1); // ran via Fluid backend |
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|
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cv::GMat tmp2 = cv::gapi::streaming::desync(tmp); |
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cv::GMat out2 = tmp2 * 0.5; // ran via OCV backend |
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|
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auto c = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2)); |
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auto p = cv::gapi::kernels<FluidCopy>(); |
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|
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EXPECT_NO_THROW(c.compileStreaming(cv::compile_args(p))); |
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} |
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|
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TEST(GAPI_Streaming_Desync, DesyncObjectConsumedByTwoIslandsViaSameDesync) { |
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// See comment in the implementation of cv::gapi::streaming::desync (.cpp) |
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cv::GMat in; |
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cv::GMat tmp = cv::gapi::boxFilter(in, -1, cv::Size(3,3)); |
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|
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cv::GMat tmp1 = cv::gapi::streaming::desync(tmp); |
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cv::GMat out1 = cv::gapi::copy(tmp1); // ran via Fluid backend |
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cv::GMat out2 = out1 - 0.5*tmp1; // ran via OCV backend |
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|
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auto c = cv::GComputation(cv::GIn(in), cv::GOut(out1, out2)); |
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auto p = cv::gapi::kernels<FluidCopy>(); |
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|
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EXPECT_NO_THROW(c.compileStreaming(cv::compile_args(p))); |
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} |
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|
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} // namespace opencv_test
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