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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/calib/misc/java/test/CalibTest.java
+4 -4
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@@ -67,8 +67,8 @@ public class CalibTest extends OpenCVTestCase {
assertTrue(Calib.findCirclesGrid(img, new Size(5, 5), centers));
assertEquals(25, centers.rows());
assertEquals(1, centers.cols());
assertEquals(1, centers.rows());
assertEquals(25, centers.cols());
assertEquals(CvType.CV_32FC2, centers.type());
}
@@ -93,8 +93,8 @@ public class CalibTest extends OpenCVTestCase {
assertTrue(Calib.findCirclesGrid(img, new Size(3, 5), centers, Calib.CALIB_CB_CLUSTERING
| Calib.CALIB_CB_ASYMMETRIC_GRID));
assertEquals(15, centers.rows());
assertEquals(1, centers.cols());
assertEquals(1, centers.rows());
assertEquals(15, centers.cols());
assertEquals(CvType.CV_32FC2, centers.type());
}