Migrated chessboard and circles grid detectors to objdetect #28804
OpenCV Contrib: https://github.com/opencv/opencv_contrib/pull/4125
OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1375
### 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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
Update ArUco doc #28824
See https://github.com/opencv/opencv/pull/28823
Update of the ArUco doc but targeted for OpenCV 4.
### 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
- [ ] 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
Usage of imread(): magic number 0, unchecked result
* docs: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()
* samples, apps: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()
* tests: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()
* doc/py_tutorials: check imread() result
Previously, there's no way to the user see the found corners, i've changed that.
In a cout, are write that: "average reprojection err = "
But it isn't a "reprojection error" at all, it is a mean of each EPIPOLAR error, wich occur when the product x' * F * x is not equal to zero.
(x and x' are the same points in the right and left scene)
(the RMS that explain the average absolute reprojection error is given by the return of the stereoCalibrate() function)
At least, i think it's interesting to initialize the camera matrices before.
Thank you all for this amazing code. Apologize my weak english.
Alexander Smorkalov
Alexander Smorkalov
s-trinh
Alexander Smorkalov
vovka643
Alexander Alekhin
Christoph Rackwitz
Maksim Shabunin
Vadim Pisarevsky
MoonChasing
Alexander Alekhin
Vitaly Tuzov
Alexander Alekhin
Suleyman TURKMEN
Eric Liao
ValeryTyumen
Kauê de Moraes Vestena
berak
Dmitriy Anisimov
Maximilien Cuony
vbystricky
Adrien BAK
Roman Donchenko
Kirill Kornyakov
Andrey Kamaev
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Andrey Kamaev