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attempt to add 0d/1d mat support to OpenCV (#23473)

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* attempt to add 0d/1d mat support to OpenCV

* revised the patch; now 1D mat is treated as 1xN 2D mat rather than Nx1.

* a step towards 'green' tests

* another little step towards 'green' tests

* calib test failures seem to be fixed now

* more fixes _core & _dnn

* another step towards green ci; even 0D mat's (a.k.a. scalars) are now partly supported!

* * fixed strange bug in aruco/charuco detector, not sure why it did not work
* also fixed a few remaining failures (hopefully) in dnn & core

* disabled failing GAPI tests - too complex to dig into this compiler pipeline

* hopefully fixed java tests

* trying to fix some more tests

* quick followup fix

* continue to fix test failures and warnings

* quick followup fix

* trying to fix some more tests

* partly fixed support for 0D/scalar UMat's

* use updated parseReduce() from upstream

* trying to fix the remaining test failures

* fixed [ch]aruco tests in Python

* still trying to fix tests

* revert "fix" in dnn's CUDA tensor

* trying to fix dnn+CUDA test failures

* fixed 1D umat creation

* hopefully fixed remaining cuda test failures

* removed training whitespaces
This commit is contained in:
Vadim Pisarevsky
2023-09-21 18:24:38 +03:00
committed by GitHub
parent fdab565711
commit 416bf3253d
80 changed files with 1013 additions and 561 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/core/test/test_mat.cpp
+33 -13
View File
@@ -10,6 +10,7 @@
#endif
#include "opencv2/core/cuda.hpp"
#include "opencv2/core/bindings_utils.hpp"
namespace opencv_test { namespace {
@@ -1360,12 +1361,12 @@ TEST(Core_Mat, copyNx1ToVector)
src.copyTo(ref_dst8);
src.copyTo(dst8);
ASSERT_PRED_FORMAT2(cvtest::MatComparator(0, 0), ref_dst8, cv::Mat_<uchar>(dst8));
ASSERT_PRED_FORMAT2(cvtest::MatComparator(0, 0), ref_dst8, cv::Mat_<uchar>(dst8).reshape(1, 5));
src.convertTo(ref_dst16, CV_16U);
src.convertTo(dst16, CV_16U);
ASSERT_PRED_FORMAT2(cvtest::MatComparator(0, 0), ref_dst16, cv::Mat_<ushort>(dst16));
ASSERT_PRED_FORMAT2(cvtest::MatComparator(0, 0), ref_dst16, cv::Mat_<ushort>(dst16).reshape(1, 5));
}
TEST(Core_Matx, fromMat_)
@@ -1510,6 +1511,7 @@ TEST(Core_Mat_vector, copyTo_roi_row)
{
_dst.create(src.rows, src.cols, src.type());
Mat dst = _dst.getMat();
dst = dst.reshape(dst.channels(), dst.rows);
EXPECT_EQ(src.dims, dst.dims);
EXPECT_EQ(src.cols, dst.cols);
EXPECT_EQ(src.rows, dst.rows);
@@ -1780,7 +1782,8 @@ TEST(Mat_, range_based_for)
TEST(Mat, from_initializer_list)
{
Mat A({1.f, 2.f, 3.f});
Mat_<float> B(3, 1); B << 1, 2, 3;
int n = 3;
Mat_<float> B(1, &n); B << 1, 2, 3;
Mat_<float> C({3}, {1,2,3});
ASSERT_EQ(A.type(), CV_32F);
@@ -1796,7 +1799,8 @@ TEST(Mat, from_initializer_list)
TEST(Mat_, from_initializer_list)
{
Mat_<float> A = {1, 2, 3};
Mat_<float> B(3, 1); B << 1, 2, 3;
int n = 3;
Mat_<float> B(1, &n); B << 1, 2, 3;
Mat_<float> C({3}, {1,2,3});
ASSERT_DOUBLE_EQ(cvtest::norm(A, B, NORM_INF), 0.);
@@ -2375,10 +2379,11 @@ TEST(Mat, regression_18473)
}
// FITIT: remove DISABLE_ when 1D Mat is supported
TEST(Mat1D, DISABLED_basic)
TEST(Mat1D, basic)
{
std::vector<int> sizes { 100 };
Mat m1(sizes, CV_8UC1, Scalar::all(5));
Mat m1_copy(sizes, CV_8UC1, Scalar::all(5));
m1.at<uchar>(50) = 10;
EXPECT_FALSE(m1.empty());
ASSERT_EQ(1, m1.dims);
@@ -2402,7 +2407,7 @@ TEST(Mat1D, DISABLED_basic)
{
SCOPED_TRACE("reshape(1, 1)");
Mat m = m1.reshape(1, 1);
EXPECT_EQ(1, m.dims);
EXPECT_EQ(2, m.dims);
EXPECT_EQ(Size(100, 1), m.size());
}
@@ -2414,10 +2419,12 @@ TEST(Mat1D, DISABLED_basic)
}
{
SCOPED_TRACE("reshape(1, {1, 100})");
Mat m = m1.reshape(1, {1, 100});
EXPECT_EQ(2, m.dims);
EXPECT_EQ(Size(100, 1), m.size());
SCOPED_TRACE("reshape(1, {10, 10}).reshape(1, {100})");
std::vector<int> newsize={100};
Mat m2 = m1.reshape(1, {10, 10});
Mat m3 = m2.reshape(1, newsize);
EXPECT_EQ(1, m3.dims);
EXPECT_EQ(Size(100, 1), m3.size());
}
{
@@ -2432,6 +2439,7 @@ TEST(Mat1D, DISABLED_basic)
Mat m(5, 100, CV_8UC1, Scalar::all(0));
const Mat row2D = m.row(2);
EXPECT_NO_THROW(m1.copyTo(row2D));
EXPECT_NO_THROW(row2D.copyTo(m1_copy));
}
{
@@ -2452,16 +2460,19 @@ TEST(Mat1D, DISABLED_basic)
SCOPED_TRACE("CvMatND");
CvMatND c_mat = cvMatND(m1);
EXPECT_EQ(2, c_mat.dims);
EXPECT_EQ(100, c_mat.dim[0].size);
EXPECT_EQ(1, c_mat.dim[1].size);
EXPECT_EQ(1, c_mat.dim[0].size);
EXPECT_EQ(100, c_mat.dim[1].size);
}
{
SCOPED_TRACE("minMaxLoc");
Point pt;
minMaxLoc(m1, 0, 0, 0, &pt);
EXPECT_EQ(50, pt.x);
EXPECT_EQ(0, pt.y);
EXPECT_EQ(50, pt.x);
minMaxLoc(m1_copy, 0, 0, 0, &pt);
EXPECT_EQ(0, pt.y);
EXPECT_EQ(50, pt.x);
}
}
@@ -2583,4 +2594,13 @@ TEST(Mat, Recreate1DMatWithSameMeta)
EXPECT_NO_THROW(m.create(dims, depth));
}
TEST(InputArray, dumpEmpty)
{
std::string s;
s = cv::utils::dumpInputArray(noArray());
EXPECT_EQ(s, "InputArray: noArray()");
s = cv::utils::dumpInputArray(Mat());
EXPECT_EQ(s, "InputArray: empty()=true kind=0x00010000 flags=0x01010000 total(-1)=0 dims(-1)=0 size(-1)=0x0 type(-1)=CV_8UC1");
}
}} // namespace