Changed the height parameter in the cudaMemset2D function call to use
minSSD_buf.rows instead of disp.rows. This enures the correct buffer
height is used for memory initialization.
Fix distransform to work with large images #22798
This attempts to fix the following bug which was caused by storing squares of large integers into 32-bit floating point variables:
https://github.com/opencv/opencv/issues/22732
### Pull Request Readiness Checklist
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QRCodeDetector: don't floodFill with outside-of-image seedPoint #23612Fixes#21532.
### Pull Request Readiness Checklist
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This makes LineSegmentDetector deterministic by using stable_sort for ordering points by norm. Without this change the region growing in LSD is non-determinstic and thus the returned lines are changing between invocations.
This is a replacement for https://github.com/opencv/opencv/pull/23370
Fixed potential memory leak in flann
Issue #22426
### Pull Request Readiness Checklist
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Resolves https://github.com/opencv/opencv/issues/23304
Fixes the incorrect pixel grid
Switches type to double to avoid precision loss as all callers use doubles
### Pull Request Readiness Checklist
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- [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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In case of huge (and probably invalid) input, make sure we do not
rely only on the while loops for truncation.
### Pull Request Readiness Checklist
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Fix misaligned-pointer-use in intrin_sse.hpp
* Fix misaligned-pointer-use in intrin_sse.hpp
* Use _mm_loadu_si32() instead of memcpy()
* Use CV_DECL_ALIGNED instead of _mm_loadu_si32()
Fix rect_nfa (lsd)
* Fix missing log_gamma in nfa()
Comparing the nfa function with the function in the binomial_nfa repository (https://github.com/rafael-grompone-von-gioi/binomial_nfa/blob/main/C99/log_binomial_nfa.c#L152), the first log_gamma call is missing.
* Fix rect_nfa pixel index
* Replace std::rotate
* Rename tmp to v_tmp
* Replace auto and std::min_element
* Change slope equality check to int
* Fix left limit check
Omit the first check of the double-checked locking pattern in
recordException() in parallel.cpp when CV_THREAD_SANITIZER is defined.
This should only slow recordException() down when the thread sanitizer
is used, and avoids the TSAN data race warning.
Backport of #22992 to 3.4
### 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
- [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.
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Fix broken paper link for fastNlMeansDenoising
* Fix broken link
* Move citation to `opencv.bib`
* Cite researchgate reference
* Correct citation label
* Use semantic scholar BibTex
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
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ajithvallabai
autoantwort
Alexander Smorkalov
fengyuentau
Paul Kim (김형준)
lamm45
dizcza
Christine Poerschke
Maxim Smolskiy
Giles Payne
eplankin
Kumataro
Sergey Petrenko
tkram01
Christian Henkel
Simon Lynen
Vladimir Ponomarev
Bhavit Patel
Vincent Rabaud
Alexander Alekhin
Lilit Grigoryan
Yannis Guyon
Ibai Gorordo
whuaegeansea
Rostislav Vasilikhin
Tomoaki Teshima
Alexander Alekhin
Ihsan Soydemir
Yang Chao
Christoph Rackwitz
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