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Open Source Computer Vision Library
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986 lines
31 KiB
986 lines
31 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 Intel Corporation |
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#include "../test_precomp.hpp" |
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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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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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GAPI_Assert(testDataPath != nullptr); |
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cvtest::addDataSearchPath(testDataPath); |
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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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} // 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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ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi"))); |
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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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std::size_t num_frames1 = 0u; |
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ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi"))); |
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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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ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi"))); |
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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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refc.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi"))); |
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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>(findDataFile("cv/video/768x576.avi")))); |
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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 in_src = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi")); |
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testc.setSource(cv::gin(in_const, in_src)); |
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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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in_src = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/1920x1080.avi")); |
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testc.setSource(cv::gin(in_const, in_src)); |
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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 in_src = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi")); |
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testc.setSource(cv::gin(in_src, cv::Scalar{1.25})); |
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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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in_src = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/1920x1080.avi")); |
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testc.setSource(cv::gin(in_src, cv::Scalar{0.75})); |
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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); |
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uchar *out_ptr = out.ptr(r); |
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for (int c = 0; c < length; c++) { |
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out_ptr[c] = cv::saturate_cast<uchar>(in_ptr[c] + inv[c]); |
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} |
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} |
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} |
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}; |
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GAPI_FLUID_KERNEL(FluidAddV, AddV, false) { |
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static const int Window = 1; |
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static void run(const cv::gapi::fluid::View &in, |
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const std::vector<int> &inv, |
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cv::gapi::fluid::Buffer &out) { |
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const uchar *in_ptr = in.InLineB(0); |
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uchar *out_ptr = out.OutLineB(0); |
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const auto length = in.meta().size.width * in.meta().chan; |
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CV_Assert(length == static_cast<int>(inv.size())); |
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for (int c = 0; c < length; c++) { |
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out_ptr[c] = cv::saturate_cast<uchar>(in_ptr[c] + inv[c]); |
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} |
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} |
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}; |
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} // namespace TypesTest |
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TEST_P(GAPI_Streaming, SmokeTest_AutoMeta_VideoArray) |
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{ |
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cv::GMat in_m; |
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cv::GArray<int> in_v; |
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cv::GMat out_m = TypesTest::AddV::on(in_m, in_v) - in_m; |
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// Run pipeline |
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auto testc = cv::GComputation(cv::GIn(in_m, in_v), cv::GOut(out_m)) |
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.compileStreaming(cv::compile_args(cv::gapi::kernels<TypesTest::OCVAddV>())); |
|
|
|
cv::Mat tmp; |
|
// Test with one video source and vector |
|
auto in_src = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi")); |
|
std::vector<int> first_in_vec(768*3, 1); |
|
testc.setSource(cv::gin(in_src, first_in_vec)); |
|
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 |
|
in_src = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/1920x1080.avi")); |
|
std::vector<int> second_in_vec(1920*3, 1); |
|
testc.setSource(cv::gin(in_src, second_in_vec)); |
|
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})); |
|
sc.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi"))); |
|
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})); |
|
sc.setSource(cv::gin(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi")), |
|
in_eye)); |
|
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}}); |
|
|
|
const auto video_path = findDataFile("cv/video/768x576.avi"); |
|
sc.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(video_path)); |
|
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); |
|
const auto video_path = findDataFile("cv/video/768x576.avi"); |
|
sc.setSource(cv::gin(in_eye, gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(video_path))); |
|
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); |
|
} |
|
|
|
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) |
|
{ |
|
const auto c_ptr = gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi")); |
|
auto c_desc = cv::GMatDesc{CV_8U,3,{768,576}}; |
|
auto m_desc = cv::descr_of(m); |
|
|
|
sc = cc.compileStreaming(c_desc, m_desc); |
|
EXPECT_NO_THROW(sc.setSource(cv::gin(c_ptr, m))); |
|
|
|
sc = cc.compileStreaming(m_desc, c_desc); |
|
EXPECT_NO_THROW(sc.setSource(cv::gin(m, c_ptr))); |
|
|
|
sc = cc.compileStreaming(c_desc, c_desc); |
|
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 fails 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); |
|
for (int i = 0; i < 100; i++) |
|
{ |
|
auto src = cv::gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(findDataFile("cv/video/768x576.avi")); |
|
sc.stop(); |
|
sc.setSource(cv::gin(src, 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, 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)); |
|
} |
|
|
|
} // namespace opencv_test
|
|
|