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attempt to add 0d/1d mat support to OpenCV (#23473)
* 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
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@@ -94,12 +94,16 @@ TEST_P(RMatViewNDTest, DefaultStep) {
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TEST_P(RMatViewNDTest, StepFromMat) {
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int depth = 0, ndims = 0;
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std::tie(depth, ndims) = GetParam();
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std::vector<int> dims(ndims, 12);
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cv::Mat mat(dims, depth);
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auto view = asView(mat);
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EXPECT_EQ(mat.ptr(), view.ptr());
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for (int i = 0; i < ndims; i++) {
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EXPECT_EQ(mat.step[i], view.step(i));
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if (ndims <= 1) {
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throw SkipTestException("1D mat's in G-API need to be synchronized with cv::Mat");
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} else {
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std::vector<int> dims(ndims, 12);
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cv::Mat mat(dims, depth);
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auto view = asView(mat);
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EXPECT_EQ(mat.ptr(), view.ptr());
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for (int i = 0; i < ndims; i++) {
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EXPECT_EQ(mat.step[i], view.step(i));
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}
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}
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}
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@@ -270,11 +274,11 @@ TEST_F(RMatViewCallbackTest, MagazineInteraction) {
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}
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TEST(RMatView, Access1DMat) {
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cv::Mat m({1}, CV_32FC1);
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m.dims = 1;
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int sz=1;
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cv::Mat m(1, &sz, CV_32FC1);
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auto rmat = cv::make_rmat<cv::gimpl::RMatOnMat>(m);
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auto view = rmat.access(cv::RMat::Access::R);
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auto out = cv::gimpl::asMat(view);
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EXPECT_EQ(1, out.dims);
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EXPECT_EQ(2, out.dims);
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}
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} // namespace opencv_test
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