In support of Optional Known Foreground Mask for Background Subtractors #4017
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Description
Is in support to a pull request regarding, issue https://github.com/opencv/opencv/issues/26476.
Core paired pull request: https://github.com/opencv/opencv/pull/27810
This adds function templates inline with the pure virtual overloaded apply function present for background subtraction. Supporting the build of the pull request:
ximgproc: optimize Adaptive Manifold function for ARM64 #3980
### Pull Request Readiness Checklist
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- This PR introduces an ARM64-specific performance optimization in AdaptiveManifoldFilter::h_filter by applying loop unrolling.
- The optimization is guarded with #if defined(_M_ARM64) to ensure it only affects ARM64 builds.
- The optimization does not affect accuracy and maintains the same numerical behavior as the original scalar implementation.
Performance Improvements :
- The optimization significantly improves the performance of adaptive Manifold function on Windows ARM64 targets.
- The table below shows timing comparisons before and after the optimization:
<img width="1098" height="219" alt="image" src="https://github.com/user-attachments/assets/6cab9147-8ba0-4582-bdc6-e1f57989da86" />
Add missing cudaFree #3999
I found missing memory cudaFree in cv::cuda::FAST_Impl::detectAsync()
I created an issue, but did not receive a response.
https://github.com/opencv/opencv_contrib/issues/3994
### Pull Request Readiness Checklist
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- [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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- Add basic functionality test for HoughPoint2Line in XimgprocTest.java
- Add gen_dict.json to expose RO_STRICT and RO_IGNORE_BORDERS constants in Java wrapper
- Implement minimal test to verify method call and output validity
Add assert to ensure using non-overlapping memory regions #3983
This pr addresses this issue: https://github.com/opencv/opencv/issues/27429
where the user did not realize that the warpaffine function requires non-overlapping src and dst memory regions.
The code now compares the input memory regions and asserts that they do not overlap. There is also a test for this functionality.
### 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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Added fastcv color conversions #3967
This pull request introduces FastCV-based color conversions:
```
COLOR_YUV2YUV444sp_NV12 //!< FastCV: YCbCr420PseudoPlanar to YCbCr444PseudoPlanar
COLOR_YUV2YUV422sp_NV12 //!< FastCV: YCbCr420PseudoPlanar to YCbCr422PseudoPlanar
COLOR_YUV422sp2YUV444sp //!< FastCV: YCbCr422PseudoPlanar to YCbCr444PseudoPlanar
COLOR_YUV422sp2YUV_NV12 //!< FastCV: YCbCr422PseudoPlanar to YCbCr420PseudoPlanar
COLOR_YUV444sp2YUV422sp //!< FastCV: YCbCr444PseudoPlanar to YCbCr422PseudoPlanar
COLOR_YUV444sp2YUV_NV12 //!< FastCV: YCbCr444PseudoPlanar to YCbCr420PseudoPlanar
COLOR_YUV2RGB565_NV12 //!< FastCV: YCbCr420PseudoPlanar to RGB565
COLOR_YUV422sp2RGB565 //!< FastCV: YCbCr422PseudoPlanar to RGB565
COLOR_YUV422sp2RGB //!< FastCV: YCbCr422PseudoPlanar to RGB888
COLOR_YUV422sp2RGBA //!< FastCV: YCbCr422PseudoPlanar to RGBA8888
COLOR_YUV444sp2RGB565 //!< FastCV: YCbCr444PseudoPlanar to RGB565
COLOR_YUV444sp2RGB //!< FastCV: YCbCr444PseudoPlanar to RGB888
COLOR_YUV444sp2RGBA //!< FastCV: YCbCr444PseudoPlanar to RGBA8888
COLOR_RGB2YUV_NV12 //!< FastCV: RGB888 to YCbCr420PseudoPlanar
COLOR_RGB5652YUV444sp //!< FastCV: RGB565 to YCbCr444PseudoPlanar
COLOR_RGB5652YUV422sp //!< FastCV: RGB565 to YCbCr422PseudoPlanar
COLOR_RGB5652YUV_NV12 //!< FastCV: RGB565 to YCbCr420PseudoPlanar
COLOR_RGB2YUV444sp //!< FastCV: RGB888 to YCbCr444PseudoPlanar
COLOR_RGB2YUV422sp //!< FastCV: RGB888 to YCbCr422PseudoPlanar
```
### Pull Request Readiness Checklist
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- [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 race condition in Otsu's method #3970
I found that in some cases, Otsu's method can have two or more equal thresholds. In case of the CUDA implementation, this would create a race-condition where the last thread to write the output gets to choose which Otsu threshold to use. The resulting image from cv::cuda::threshold would be the same, but the returned threshold would vary for each run.
I solve this by first doing a poll to check if there are multiple matches with `__syncthreads_count`. If not, we can return the threshold as before. If there are more than one, the kernel does a minimum reduction to find the lowest threshold that matches the otsu score. It doesn't matter which threshold you choose as long as it is consistent, so I choose the smallest one.
I'm unsure when `__syncthreads_count` as introduced, but it is compatible with CC≥2.0. CUDA Toolkit's archive only goes back to version 8.0, but it was documented back then (https://docs.nvidia.com/cuda/archive)
### Pull Request Readiness Checklist
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- [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
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Patch to opencv_extra has the same branch name.
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Add Otsu's method to cv::cuda::threshold #3943
I implemented Otsu's method in CUDA for a separate project and want to add it to cv::cuda::threshold
I have made an effort to use existing OpenCV functions in my code, but I had some trouble with `ThresholdTypes` and `cv::cuda::calcHist`. I couldn't figure out how to include `precomp.hpp` to get the definition of `ThresholdTypes`. For `cv::cuda::calcHist` I tried adding `opencv_cudaimgproc`, but it creates a circular dependency on `cudaarithm`. I have include a simple implementation of `calcHist` so the code runs, but I would like input on how to use `cv::cuda::calcHist` instead.
### Pull Request Readiness Checklist
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- [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
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Patch to opencv_extra has the same branch name.
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Add warpAffine and resizeDown APIs in FastCV Extension #3936
- Added warpAffine function to apply affine transformations.
2x3 affine transformations for both CV_8UC1 and CV_8UC3 input
2x2 matrix-based patch extraction for grayscale images, with ROI.
- Deprecated resizeDownBy2 and resizeDownBy4 functions.
- Introduced resizeDown function to down-scale images using specified scaling factors or dimensions, supporting both single-channel (CV_8UC1) and two-channel (CV_8UC2) images.
### Pull Request Readiness Checklist
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Add FastCV DSP Initialization, QcAllocator and FastCV DSP Extension APIs #3931
Merge with https://github.com/opencv/opencv/pull/27290
**Detailed Description**
This PR introduces FastCV DSP Extension APIs within the '**cv::fastcv::dsp**' namespace.
The following APIs have been added:
1. **fcvdspinit**: Initializes the FastCV DSP environment.
2. **fcvdspdeinit**: Deinitializes the FastCV DSP environment.
3. **sumOfAbsoluteDiffs**: Computes the sum of absolute differences of an image against an 8x8 template.
4. **thresholdOtsu**: Binarizes a grayscale image using Otsu's method.
5. **FFT**: Computes the 1D or 2D Fast Fourier Transform of a real-valued matrix.
6. **IFFT**: Computes the 1D or 2D Inverse Fast Fourier Transform of a complex-valued matrix.
7. **canny**: Applies the Canny edge detector to an 8-bit grayscale image.
8. **filter2D**: Applies a generic 2D filter to an image.
The **QcAllocator** has been added to manage memory allocations on Qualcomm's Chipsets. This allocator ensures that matrices are allocated using the Qualcomm hardware memory allocator, providing efficient DSP operations.
Requires updated binary from: https://github.com/opencv/opencv_3rdparty/pull/97
Requires binary from https://github.com/opencv/opencv_3rdparty/pull/95
Lib Hash Update: https://github.com/opencv/opencv/pull/27403
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Add WarpPerspective in FastCV extension #3922
### Pull Request Readiness Checklist
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Changed PatternPositionType to aruco::PatternPositionType to explicitly specify its scope.
This allows gen_java.py to correctly register disc_type, preventing constructors and
methods using this enum type from being skipped during Java wrapper generation.
Typo fix: KadewTraKuPong to KaewTraKulPong #3923
From his paper: https://scispace.com/pdf/an-improved-adaptive-background-mixture-model-for-real-time-1l517cez5l.pdf
### Pull Request Readiness Checklist
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- [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
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Patch to opencv_extra has the same branch name.
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