Added center crop pad layer to new DNN engine #27892
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Added support for SCE and NLL losses #27809
This pull request adds the support for Negative Log-Likelihood loss and Softmax Cross-Entropy loss in new DNN engine.
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Extended Activation layers support #27882
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Extended Reduce layer support in new DNN engine #27816
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Added Bitwise layer to new DNN engine #27845
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Fix QRCodeDetector::detectAndDecode crash #27877
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Fix#27807
The problem is that when we find closest points from hull, we can get same closest point for several different points
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Fix invalid memory access in USAC #27865
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Fix#27863
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3D object pose estimation tutorial update #27874
1. Use cv::loadMesh instead of custom csv-based reader.
2. Use code snippets
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Improved blur #27822
* Perform row and column filter operations in a single pass.
* Temporary storage of intermediate results are avoided.
* Impacts 32F and 64F inputs for ksize <=5.
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Add OPENCV_FFMPEG_SKIP_LOG_CALLBACK to preserve custom FFmpeg logging #27864
OpenCV’s InternalFFMpegRegister overwrites av_log_set_callback, blocking custom FFmpeg log handlers in statically linked apps.
Add `OPENCV_FFMPEG_SKIP_LOG_CALLBACK` to let applications keep their own logging.
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Added cast and castlike layers support in new DNN engine #27698
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Cleaned up parser denylist and removed passing tests. #27857
Merge with: https://github.com/opencv/opencv_extra/pull/1278
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dnn: added neon intrinsics implementation of fastGEMM1T function #27785
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- This PR improves the performance of the LSTM function on ARM64 targets.
- Added a NEON intrinsics implementation of the fastGEMM1T function and enabled its use in fully connected and recurrent layers file.
- As a result, ARM64 now benefits from vectorized matrix–vector multiplications, leading to measurable performance improvements in the LSTM layer.
- This change is limited to ARM64 and does not affect other architectures.
**Performance impact:**
- The optimization significantly improves the performance of lstm functions on ARM64 targets.
<img width="930" height="313" alt="image" src="https://github.com/user-attachments/assets/92e251cd-dc6c-4cda-9586-acc19bf16dfd" />
Moved pattern generator to apps and rewrote tutorial #27833
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WebPMuxAssemble always alloc output buffer and do not reuse provided one.
It overrites provided buffer and it's not freed in the previous version.
WebPDataClear cannot be used with shared pointer as it does not free the object memory itself.
webpFree expects void*, but not const void* that's why const cast is required here.
Updated ONNX conformance tests and parser denylist #27827
Merge with https://github.com/opencv/opencv_extra/pull/1277
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Alexander Smorkalov
Alexander Smorkalov
Abhishek Gola
Maxim Smolskiy
ashish-sriram
Dmitry Kurtaev
Peter Rekdal Khan-Sunde
pratham-mcw
D00E
MykhailoTrushch
Muhammed Jaseem Pallikkal