Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2019 Intel Corporation
#include "test_precomp.hpp"
#include "gapi_fluid_test_kernels.hpp"
namespace opencv_test
{
namespace {
cv::Mat randomMat(cv::Size img_sz, int type = CV_8UC1, cv::Scalar mean = cv::Scalar(127.0f), cv::Scalar stddev = cv::Scalar(40.f)){
cv::Mat mat(img_sz, type);
cv::randn(mat, mean, stddev);
return mat;
}
cv::GFluidParallelOutputRois asGFluidParallelOutputRois(const std::vector<cv::Rect>& rois){
cv::GFluidParallelOutputRois parallel_rois;
for (auto const& roi : rois) {
parallel_rois.parallel_rois.emplace_back(GFluidOutputRois{{to_own(roi)}});
}
return parallel_rois;
}
void adjust_empty_roi(cv::Rect& roi, cv::Size size){
if (roi.empty()) roi = cv::Rect{{0,0}, size};
}
cv::GCompileArgs combine(cv::GCompileArgs&& lhs, cv::GCompileArgs const& rhs){
lhs.insert(lhs.end(), rhs.begin(), rhs.end());
return std::move(lhs);
}
}
using namespace cv::gapi_test_kernels;
//As GTest can not simultaneously parameterize test with both types and values - lets use type-erasure and virtual interfaces
//to use different computation pipelines
struct ComputationPair {
void run_with_gapi(const cv::Mat& in_mat, cv::GCompileArgs const& compile_args, cv::Mat& out_mat){
run_with_gapi_impl(in_mat, combine(cv::compile_args(fluidTestPackage), compile_args), out_mat);
}
void run_with_gapi(const cv::Mat& in_mat, cv::GFluidParallelOutputRois const& parallel_rois, cv::Mat& out_mat){
run_with_gapi_impl(in_mat, cv::compile_args(fluidTestPackage, parallel_rois), out_mat);
}
virtual void run_with_ocv (const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat) = 0;
virtual std::string name() const { return {}; }
virtual ~ComputationPair () = default;
friend std::ostream& operator<<(std::ostream& o, ComputationPair const* cp){
std::string custom_name = cp->name();
return o << (custom_name.empty() ? typeid(cp).name() : custom_name );
}
private:
virtual void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat) = 0;
};
struct Blur3x3CP : ComputationPair{
static constexpr int borderType = BORDER_REPLICATE;
static constexpr int kernelSize = 3;
std::string name() const override { return "Blur3x3"; }
void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat_gapi) override {
cv::GMat in;
cv::GMat out = TBlur3x3::on(in, borderType, {});
cv::GComputation c(cv::GIn(in), cv::GOut(out));
// Run G-API
auto cc = c.compile(cv::descr_of(in_mat), comp_args);
cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
}
void run_with_ocv(const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat_ocv) override {
cv::Point anchor = {-1, -1};
// Check with OpenCV
for (auto roi : rois) {
adjust_empty_roi(roi, in_mat.size());
cv::blur(in_mat(roi), out_mat_ocv(roi), {kernelSize, kernelSize}, anchor, borderType);
}
}
};
struct AddCCP : ComputationPair{
std::string name() const override { return "AddC"; }
void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat_gapi) override {
cv::GMat in;
cv::GMat out = TAddCSimple::on(in, 1);
cv::GComputation c(cv::GIn(in), cv::GOut(out));
// Run G-API
auto cc = c.compile(cv::descr_of(in_mat), comp_args);
cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
}
void run_with_ocv(const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat_ocv) override {
// Check with OpenCV
for (auto roi : rois) {
adjust_empty_roi(roi, in_mat.size());
out_mat_ocv(roi) = in_mat(roi) + 1u;
}
}
};
template<BorderTypes _borderType>
struct SequenceOfBlursCP : ComputationPair{
BorderTypes borderType = _borderType;
std::string name() const override { return "SequenceOfBlurs, border type: " + std::to_string(static_cast<int>(borderType)); }
void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat) override {
cv::Scalar borderValue(0);
GMat in;
auto mid = TBlur3x3::on(in, borderType, borderValue);
auto out = TBlur5x5::on(mid, borderType, borderValue);
GComputation c(GIn(in), GOut(out));
auto cc = c.compile(descr_of(in_mat), comp_args);
cc(cv::gin(in_mat), cv::gout(out_mat));
}
void run_with_ocv(const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat) override {
cv::Mat mid_mat_ocv = Mat::zeros(in_mat.size(), in_mat.type());
cv::Point anchor = {-1, -1};
for (auto roi : rois) {
adjust_empty_roi(roi, in_mat.size());
cv::blur(in_mat, mid_mat_ocv, {3,3}, anchor, borderType);
cv::blur(mid_mat_ocv(roi), out_mat(roi), {5,5}, anchor, borderType);
}
}
};
struct TiledComputation : public TestWithParam <std::tuple<ComputationPair*, cv::Size, std::vector<cv::Rect>, decltype(cv::GFluidParallelFor::parallel_for)>> {};
TEST_P(TiledComputation, Test)
{
ComputationPair* cp;
cv::Size img_sz;
std::vector<cv::Rect> rois ;
decltype(cv::GFluidParallelFor::parallel_for) pfor;
auto mat_type = CV_8UC1;
std::tie(cp, img_sz, rois, pfor) = GetParam();
cv::Mat in_mat = randomMat(img_sz, mat_type);
cv::Mat out_mat_gapi = cv::Mat::zeros(img_sz, mat_type);
cv::Mat out_mat_ocv = cv::Mat::zeros(img_sz, mat_type);
auto comp_args = combine(cv::compile_args(asGFluidParallelOutputRois(rois)), pfor ? cv::compile_args(cv::GFluidParallelFor{pfor}) : cv::GCompileArgs{});
cp->run_with_gapi(in_mat, comp_args, out_mat_gapi);
cp->run_with_ocv (in_mat, rois, out_mat_ocv);
EXPECT_EQ(0, cvtest::norm(out_mat_gapi, out_mat_ocv, NORM_INF))
<< "in_mat : \n" << in_mat << std::endl
<< "diff matrix :\n " << (out_mat_gapi != out_mat_ocv) << std::endl
<< "out_mat_gapi: \n" << out_mat_gapi << std::endl
<< "out_mat_ocv: \n" << out_mat_ocv << std::endl;;
}
namespace {
//this is ugly but other variants (like using shared_ptr) are IMHO even more ugly :)
template<typename T, typename... Arg>
T* addr_of_static(Arg... arg) {
static T obj(std::forward<Arg>(arg)...);
return &obj;
}
}
auto single_arg_computations = [](){
return Values( addr_of_static<Blur3x3CP>(),
addr_of_static<AddCCP>(),
addr_of_static<SequenceOfBlursCP<BORDER_CONSTANT>>(),
addr_of_static<SequenceOfBlursCP<BORDER_REPLICATE>>(),
addr_of_static<SequenceOfBlursCP<BORDER_REFLECT_101>>()
);
};
auto tilesets_8x10 = [](){
return Values(std::vector<cv::Rect>{cv::Rect{}},
std::vector<cv::Rect>{cv::Rect{0,0,8,5}, cv::Rect{0,5,8,5}},
std::vector<cv::Rect>{cv::Rect{0,1,8,3}, cv::Rect{0,4,8,3}},
std::vector<cv::Rect>{cv::Rect{0,2,8,3}, cv::Rect{0,5,8,2}},
std::vector<cv::Rect>{cv::Rect{0,3,8,4}, cv::Rect{0,9,8,1}});
};
auto tilesets_20x15 = [](){
return Values(std::vector<cv::Rect>{cv::Rect{}},
std::vector<cv::Rect>{cv::Rect{{0,0},cv::Size{20,7}},
cv::Rect{{0,7},cv::Size{20,8}}});
};
auto tilesets_320x240 = [](){
return Values(std::vector<cv::Rect>{cv::Rect{{0,0}, cv::Size{320,120}},
cv::Rect{{0,120}, cv::Size{320,120}}},
std::vector<cv::Rect>{cv::Rect{{0,0}, cv::Size{320,120}},
cv::Rect{{0,120}, cv::Size{320,120}}},
std::vector<cv::Rect>{cv::Rect{{0,0}, cv::Size{320,60}},
cv::Rect{{0,60}, cv::Size{320,60}},
cv::Rect{{0,120},cv::Size{320,120}}});
};
namespace{
auto no_custom_pfor = decltype(cv::GFluidParallelFor::parallel_for){};
}
INSTANTIATE_TEST_CASE_P(FluidTiledSerial8x10, TiledComputation,
Combine(
single_arg_computations(),
Values(cv::Size(8, 10)),
tilesets_8x10(),
Values(no_custom_pfor))
);
INSTANTIATE_TEST_CASE_P(FluidTiledSerial20x15, TiledComputation,
Combine(
single_arg_computations(),
Values(cv::Size(20, 15)),
tilesets_20x15(),
Values(no_custom_pfor))
);
INSTANTIATE_TEST_CASE_P(FluidTiledSerial320x240, TiledComputation,
Combine(
single_arg_computations(),
Values(cv::Size(320, 240)),
tilesets_320x240(),
Values(no_custom_pfor))
);
//FIXME: add multiple outputs tests
TEST(FluidTiledParallelFor, basic)
{
cv::Size img_sz{8,20};
auto mat_type = CV_8UC1;
cv::GMat in;
cv::GMat out = TAddCSimple::on(in, 1);
cv::GComputation c(cv::GIn(in), cv::GOut(out));
cv::Mat in_mat = randomMat(img_sz, mat_type);
cv::Mat out_mat_gapi = cv::Mat::zeros(img_sz, mat_type);
auto parallel_rois = asGFluidParallelOutputRois( std::vector<cv::Rect>{cv::Rect{0,0,8,5}, cv::Rect{0,5,8,5}});
std::size_t items_count = 0;
auto pfor = [&items_count](std::size_t count, std::function<void(std::size_t)> ){
items_count = count;
};
// Run G-API
auto cc = c.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage, parallel_rois, GFluidParallelFor{pfor}));
cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
ASSERT_EQ(parallel_rois.parallel_rois.size(), items_count);
}
namespace {
auto serial_for = [](std::size_t count, std::function<void(std::size_t)> f){
for (std::size_t i = 0; i < count; ++i){
f(i);
}
};
auto cv_parallel_for = [](std::size_t count, std::function<void(std::size_t)> f){
cv::parallel_for_(cv::Range(0, static_cast<int>(count)), [f](const cv::Range& r){
for (auto i = r.start; i < r.end; ++i){
f(i);
} });
};
}
INSTANTIATE_TEST_CASE_P(FluidTiledParallel8x10, TiledComputation,
Combine(
single_arg_computations(),
Values(cv::Size(8, 10)),
tilesets_8x10(),
Values(serial_for, cv_parallel_for))
);
} // namespace opencv_test
//define custom printer for "parallel_for" test parameter
namespace std {
void PrintTo(decltype(cv::GFluidParallelFor::parallel_for) const& f, std::ostream* o);
}
//separate declaration and definition are needed to please the compiler
void std::PrintTo(decltype(cv::GFluidParallelFor::parallel_for) const& f, std::ostream* o){
if (f) {
using namespace opencv_test;
if (f.target<decltype(serial_for)>()){
*o <<"serial_for";
}
else if (f.target<decltype(cv_parallel_for)>()){
*o <<"cv_parallel_for";
}
else {
*o <<"parallel_for of type: " << f.target_type().name();
}
}
else
{
*o << "default parallel_for";
}
}