python: fix int32 output arrays on Windows by mapping 32-bit NPY_LONG - #29767
On Windows numpy spells `int32` as C `long`, so such arrays arrive as `NPY_LONG` (typenum 7) instead of `NPY_INT` (5). `numpyTypeToCvDepth()` has no case for it, so `pyopencv_to()` takes the cast-and-copy path — which is rejected for **output** arguments, even though the data is already bit-identical to `CV_32S`:
```python
cv.watershed(img, np.int32(markers))
```
```
cv2.error: (-5:Bad argument) in function 'watershed'
> Overload resolution failed:
> - Layout of the output array markers is incompatible with cv::Mat
```
Three tests fail on Windows for this reason, all on an int32 output argument (`markers`, `detectedIds`):
- `test_watershed`
- `test_aruco_detector_refine`
- `test_charuco_refine`
### Pull Request Readiness Checklist
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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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Patch to opencv_extra has the same branch name.
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Added Bitcast layer & extended MatMul and DFT layers support - #29594
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
Fixes the issue for Identity functions for 0D #28968
Closes https://github.com/opencv/opencv/issues/25763
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
Removed all pre-C++11 code, workarounds, and branches #23736
This removes a bunch of pre-C++11 workrarounds that are no longer necessary as C++11 is now required.
It is a nice clean up and simplification.
* No longer unconditionally #include <array> in cvdef.h, include explicitly where needed
* Removed deprecated CV_NODISCARD, already unused in the codebase
* Removed some pre-C++11 workarounds, and simplified some backwards compat defines
* Removed CV_CXX_STD_ARRAY
* Removed CV_CXX_MOVE_SEMANTICS and CV_CXX_MOVE
* Removed all tests of CV_CXX11, now assume it's always true. This allowed removing a lot of dead code.
* Updated some documentation consequently.
* Removed all tests of CV_CXX11, now assume it's always true
* Fixed links.
---------
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
Alexander Smorkalov
Prasad Ayush Kumar
Abhishek Gola
vrooomy
SoY Szala