Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

284 lines
7.6 KiB

#include "../test_precomp.hpp"
#include "backends/common/serialization.hpp"
namespace opencv_test {
struct S11N_Basic: public ::testing::Test {
template<typename T> void put(T &&t) {
cv::gimpl::s11n::ByteMemoryOutStream os;
os << t;
m_buffer = os.data();
}
template<typename T> T get() {
// FIXME: This stream API needs a fix-up
cv::gimpl::s11n::ByteMemoryInStream is(m_buffer);
T t{};
is >> t;
return t;
}
private:
std::vector<char> m_buffer;
};
TEST_F(S11N_Basic, Test_int_pos) {
int x = 42;
put(x);
EXPECT_EQ(x, get<int>());
}
TEST_F(S11N_Basic, Test_int_neg) {
int x = -42;
put(x);
EXPECT_EQ(x, get<int>());
}
TEST_F(S11N_Basic, Test_fp32) {
float x = 3.14f;
put(x);
EXPECT_EQ(x, get<float>());
}
TEST_F(S11N_Basic, Test_fp64) {
double x = 3.14;
put(x);
EXPECT_EQ(x, get<double>());
}
TEST_F(S11N_Basic, Test_vector_int) {
std::vector<int> v = {1,2,3};
put(v);
EXPECT_EQ(v, get<std::vector<int> >());
}
TEST_F(S11N_Basic, Test_vector_cvSize) {
std::vector<cv::Size> v = {
cv::Size(640, 480),
cv::Size(1280, 1024),
};
put(v);
EXPECT_EQ(v, get<std::vector<cv::Size> >());
}
TEST_F(S11N_Basic, Test_vector_string) {
std::vector<std::string> v = {
"hello",
"world",
"ok!"
};
put(v);
EXPECT_EQ(v, get<std::vector<std::string> >());
}
TEST_F(S11N_Basic, Test_vector_empty) {
std::vector<char> v;
put(v);
EXPECT_EQ(v, get<std::vector<char> >());
}
TEST_F(S11N_Basic, Test_variant) {
using S = std::string;
using V = cv::util::variant<int,S>;
V v1{42}, v2{S{"hey"}};
put(v1);
EXPECT_EQ(v1, get<V>());
put(v2);
EXPECT_EQ(v2, get<V>());
}
TEST_F(S11N_Basic, Test_GArg_int) {
const int x = 42;
cv::GArg gs(x);
put(gs);
cv::GArg gd = get<cv::GArg>();
EXPECT_EQ(cv::detail::ArgKind::OPAQUE_VAL, gd.kind);
EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, gd.opaque_kind);
EXPECT_EQ(x, gs.get<int>());
}
TEST_F(S11N_Basic, Test_GArg_Point) {
const cv::Point pt{1,2};
cv::GArg gs(pt);
put(gs);
cv::GArg gd = get<cv::GArg>();
EXPECT_EQ(cv::detail::ArgKind::OPAQUE_VAL, gd.kind);
EXPECT_EQ(cv::detail::OpaqueKind::CV_POINT, gd.opaque_kind);
EXPECT_EQ(pt, gs.get<cv::Point>());
}
TEST_F(S11N_Basic, Test_Mat_full) {
auto mat = cv::Mat::eye(cv::Size(64,64), CV_8UC3);
put(mat);
EXPECT_EQ(0, cv::norm(mat, get<cv::Mat>(), cv::NORM_INF));
}
TEST_F(S11N_Basic, Test_Mat_view) {
auto mat = cv::Mat::eye(cv::Size(320,240), CV_8UC3);
auto view = mat(cv::Rect(10,15,123,70));
put(view);
EXPECT_EQ(0, cv::norm(view, get<cv::Mat>(), cv::NORM_INF));
}
TEST_F(S11N_Basic, Test_MatDesc) {
cv::GMatDesc v = { CV_8U, 1, {320,240} };
put(v);
EXPECT_EQ(v, get<cv::GMatDesc>());
}
TEST_F(S11N_Basic, Test_MetaArg_MatDesc) {
cv::GMatDesc desc = { CV_8U, 1,{ 320,240 } };
auto v = cv::GMetaArg{ desc };
put(v);
cv::GMetaArg out_v = get<cv::GMetaArg>();
cv::GMatDesc out_desc = cv::util::get<cv::GMatDesc>(out_v);
EXPECT_EQ(desc, out_desc);
}
TEST_F(S11N_Basic, Test_MetaArgs_MatDesc) {
cv::GMatDesc desc1 = { CV_8U, 1,{ 320,240 } };
cv::GMatDesc desc2 = { CV_8U, 1,{ 640,480 } };
GMetaArgs v;
v.resize(2);
v[0] = cv::GMetaArg{ desc1 };
v[1] = cv::GMetaArg{ desc2 };
put(v);
cv::GMetaArgs out_v = get<cv::GMetaArgs>();
cv::GMatDesc out_desc1 = cv::util::get<cv::GMatDesc>(out_v[0]);
cv::GMatDesc out_desc2 = cv::util::get<cv::GMatDesc>(out_v[1]);
EXPECT_EQ(desc1, out_desc1);
EXPECT_EQ(desc2, out_desc2);
}
TEST_F(S11N_Basic, Test_MetaArg_Monostate) {
GMetaArg v;
put(v);
cv::GMetaArg out_v = get<cv::GMetaArg>();
if (!util::holds_alternative<util::monostate>(out_v))
{
GTEST_FAIL();
}
}
TEST_F(S11N_Basic, Test_RunArg_Mat) {
cv::Mat mat = cv::Mat::eye(cv::Size(64, 64), CV_8UC3);
auto v = cv::GRunArg{ mat };
put(v);
cv::GRunArg out_v = get<cv::GRunArg>();
cv::Mat out_mat = cv::util::get<cv::Mat>(out_v);
EXPECT_EQ(0, cv::norm(mat, out_mat, cv::NORM_INF));
}
TEST_F(S11N_Basic, Test_RunArgs_Mat) {
cv::Mat mat1 = cv::Mat::eye(cv::Size(64, 64), CV_8UC3);
cv::Mat mat2 = cv::Mat::eye(cv::Size(128, 128), CV_8UC3);
GRunArgs v;
v.resize(2);
v[0] = cv::GRunArg{ mat1 };
v[1] = cv::GRunArg{ mat2 };
put(v);
cv::GRunArgs out_v = get<cv::GRunArgs>();
cv::Mat out_mat1 = cv::util::get<cv::Mat>(out_v[0]);
cv::Mat out_mat2 = cv::util::get<cv::Mat>(out_v[1]);
EXPECT_EQ(0, cv::norm(mat1, out_mat1, cv::NORM_INF));
EXPECT_EQ(0, cv::norm(mat2, out_mat2, cv::NORM_INF));
}
TEST_F(S11N_Basic, Test_RunArg_Scalar) {
cv::Scalar scalar = cv::Scalar(128, 33, 53);
auto v = cv::GRunArg{ scalar };
put(v);
cv::GRunArg out_v = get<cv::GRunArg>();
cv::Scalar out_scalar = cv::util::get<cv::Scalar>(out_v);
EXPECT_EQ(scalar, out_scalar);
}
TEST_F(S11N_Basic, Test_RunArgs_Scalar) {
cv::Scalar scalar1 = cv::Scalar(128, 33, 53);
cv::Scalar scalar2 = cv::Scalar(64, 15, 23);
GRunArgs v;
v.resize(2);
v[0] = cv::GRunArg{ scalar1 };
v[1] = cv::GRunArg{ scalar2 };
put(v);
cv::GRunArgs out_v = get<cv::GRunArgs>();
cv::Scalar out_scalar1 = cv::util::get<cv::Scalar>(out_v[0]);
cv::Scalar out_scalar2 = cv::util::get<cv::Scalar>(out_v[1]);
EXPECT_EQ(scalar1, out_scalar1);
EXPECT_EQ(scalar2, out_scalar2);
}
TEST_F(S11N_Basic, Test_RunArgs_MatScalar) {
cv::Mat mat = cv::Mat::eye(cv::Size(64, 64), CV_8UC3);
cv::Scalar scalar = cv::Scalar(128, 33, 53);
GRunArgs v;
v.resize(2);
v[0] = cv::GRunArg{ mat };
v[1] = cv::GRunArg{ scalar };
put(v);
cv::GRunArgs out_v = get<cv::GRunArgs>();
unsigned int i = 0;
for (auto it : out_v)
{
using T = cv::GRunArg;
switch (it.index())
{
case T::index_of<cv::Mat>() :
{
cv::Mat out_mat = cv::util::get<cv::Mat>(out_v[i]);
EXPECT_EQ(0, cv::norm(mat, out_mat, cv::NORM_INF));
} break;
case T::index_of<cv::Scalar>() :
{
cv::Scalar out_scalar = cv::util::get<cv::Scalar>(out_v[i]);
EXPECT_EQ(scalar, out_scalar);
} break;
default:
GAPI_Assert(false && "This value type is not supported!"); // ...maybe because of STANDALONE mode.
break;
}
i++;
}
}
TEST_F(S11N_Basic, Test_Bind_RunArgs_MatScalar) {
cv::Mat mat = cv::Mat::eye(cv::Size(128, 64), CV_8UC3);
cv::Scalar scalar = cv::Scalar(128, 33, 53);
GRunArgs v;
v.resize(2);
v[0] = cv::GRunArg{ mat };
v[1] = cv::GRunArg{ scalar };
GRunArgsP output = cv::gapi::bind(v);
std::cout << "output size " << output.size() << std::endl;
unsigned int i = 0;
for (auto it : output)
{
using T = cv::GRunArgP;
switch (it.index())
{
case T::index_of<cv::Mat*>() :
{
cv::Mat* out_mat = cv::util::get<cv::Mat*>(it);
EXPECT_EQ(mat.size(), out_mat->size());
} break;
case T::index_of<cv::Scalar*>() :
{
cv::Scalar* out_scalar = cv::util::get<cv::Scalar*>(it);
EXPECT_EQ(out_scalar->val[0], scalar.val[0]);
EXPECT_EQ(out_scalar->val[1], scalar.val[1]);
EXPECT_EQ(out_scalar->val[2], scalar.val[2]);
} break;
default:
GAPI_Assert(false && "This value type is not supported!"); // ...maybe because of STANDALONE mode.
break;
}
i++;
}
}
} // namespace opencv_test