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Merge pull request #29173 from s-trinh:add_parallel_for_tuto_link
Add parallel_for_ tutorial (Mandelbrot set) link in the main page #29173 Add the `parallel_for_` tutorial with Mandelbrot set use case in the main page: - the tutorial exists: https://docs.opencv.org/4.13.0/d7/dff/tutorial_how_to_use_OpenCV_parallel_for_.html - but is not listed in the main page: https://docs.opencv.org/4.13.0/de/d7a/tutorial_table_of_content_core.html Some minor cleaning: - removed [C=](https://www.hoopoesnest.com/cstripes/cstripes-sketch.htm) mention - use Web Archive link - prefer https link On my computer (Firefox), the images ([here](https://docs.opencv.org/4.13.0/d3/dc1/tutorial_basic_linear_transform.html)) are shown like this: <img width="1843" height="906" alt="image" src="https://github.com/user-attachments/assets/bc8386f5-8ea6-4fb7-92d1-75d72b0b9408" /> When adding a scale parameter, the images are correctly shown: <img width="1445" height="873" alt="image" src="https://github.com/user-attachments/assets/e163a8e5-be0f-4139-aa51-b465fd619dc9" /> This is odd. ### 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 - [ ] 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
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@@ -25,7 +25,7 @@ Theory
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@note
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The explanation below belongs to the book [Computer Vision: Algorithms and
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Applications](http://szeliski.org/Book/) by Richard Szeliski
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Applications](https://szeliski.org/Book/) by Richard Szeliski
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From our previous tutorial, we already know a bit of *Pixel operators*. An interesting dyadic
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(two-input) operator is the *linear blend operator*:
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