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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
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modules/core/src/matrix_operations.cpp
+19 -8
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@@ -35,16 +35,18 @@ void cv::swap( Mat& a, Mat& b )
std::swap(a.step.buf[0], b.step.buf[0]);
std::swap(a.step.buf[1], b.step.buf[1]);
if( a.step.p == b.step.buf )
if(a.dims <= 2)
{
a.step.p = a.step.buf;
a.size.p = &a.rows;
int a_1d = a.dims <= 1;
a.step.p = &a.step.buf[a_1d];
a.size.p = &a.rows + a_1d;
}
if( b.step.p == a.step.buf )
if(b.dims <= 2)
{
b.step.p = b.step.buf;
b.size.p = &b.rows;
int b_1d = b.dims <= 1;
b.step.p = &b.step.buf[b_1d];
b.size.p = &b.rows + b_1d;
}
}
@@ -788,6 +790,15 @@ void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
srcUMat = _src.getUMat();
Mat src = _src.getMat();
if (src.dims <= 1) {
if (src.dims == 0) {
src.convertTo(_dst, dtype);
return;
}
CV_Assert(dim == 0);
dim = 1;
}
_dst.create(dim == 0 ? 1 : src.rows, dim == 0 ? src.cols : 1, dtype);
Mat dst = _dst.getMat(), temp = dst;
@@ -1255,7 +1266,7 @@ void cv::sort( InputArray _src, OutputArray _dst, int flags )
Mat src = _src.getMat();
CV_Assert( src.dims <= 2 && src.channels() == 1 );
_dst.create( src.size(), src.type() );
_dst.createSameSize( src, src.type() );
Mat dst = _dst.getMat();
CV_IPP_RUN_FAST(ipp_sort(src, dst, flags));
@@ -1279,7 +1290,7 @@ void cv::sortIdx( InputArray _src, OutputArray _dst, int flags )
Mat dst = _dst.getMat();
if( dst.data == src.data )
_dst.release();
_dst.create( src.size(), CV_32S );
_dst.createSameSize( src, CV_32S );
dst = _dst.getMat();
CV_IPP_RUN_FAST(ipp_sortIdx(src, dst, flags));