Merge pull request #29134 from svigh/gapi_u8_nd_mats_onnx_layout_fix
Gapi u8 N-D mats onnx layout workaround #29134
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- Replaced scalar fallback and legacy CV_SIMD128 with modern scalable CV_SIMD.
- Added support for multi-channel (2/3/4) and 16-bit (ushort/short) configurations.
- Utilized v_select for branchless execution and vx_load_expand for mixed-bitwidth mask handling.
- Updated accuracy and perf tests.
- Implement inrange_simd() covering uchar/ushort/short, chan=1/2/3/4
- Replace legacy CV_SIMD128 run_inrange3 with modern CV_SIMD API
- Extend perf tests to cover all added type/channel combinations
- Resolves TODO introduced in #12608 (2018)
G-API: Add support to set workload type dynamically in both OpenVINO and ONNX OVEP #27460
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Update deprecated ov::element::undefined #28127
### Summary
Fixing OpenCV build error below.
Relates to OpenVINO 2026.0 updates on `ov::element::undefined` (https://github.com/openvinotoolkit/openvino/pull/32573) - replaced by `ov::element::dynamic`.
```
/home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/src/backends/ov/govbackend.cpp
[2025-12-03T21:25:54.540Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/src/backends/ov/govbackend.cpp: In function ���ov::element::Type toOV(int)���:
[2025-12-03T21:25:54.540Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/src/backends/ov/govbackend.cpp:114:25: error: ���undefined��� is not a member of ���ov::element���
[2025-12-03T21:25:54.540Z] 114 | return ov::element::undefined;
...
/home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/test/infer/gapi_infer_ov_tests.cpp
[2025-12-03T21:26:19.642Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/test/infer/gapi_infer_ov_tests.cpp: In function ���ov::element::Type opencv_test::toOV(int)���:
[2025-12-03T21:26:19.642Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/test/infer/gapi_infer_ov_tests.cpp:832:25: error: ���undefined��� is not a member of ���ov::element���
[2025-12-03T21:26:19.642Z] 832 | return ov::element::undefined;
```
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G-API: Implement cfgClampOutputs option to OpenVINO Params #27600
Added the option `cfgClampOutputs` to control where output clamping is performed for OpenVINO models. When enabled, output values are clamped in the PrePostProcessor stage instead of by the device or plugin. This provides a consistent and standardized clamping method across devices, helping to maintain accuracy regardless of device-specific clamping behavior.
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G-API: Implement cfgEnsureNamedTensors option to OpenVINO Params #27549
Added the option cfgEnsureNamedTensors to be applied on OpenVINO models with nameless tensors. If a tensor doesn't have a name, it sets a default one. The default name is created using OpenVINO's standard `make_default_tensor_name` . `make_default_tensor_name` had to be rewritten because it is only available in OpenVINO's dev_api.
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Implemented:
- A C++ proxy class PythonCustomStreamSource that implements the
IStreamSource interface. This class acts as a bridge between
G-API’s internal streaming engine and user-defined Python
objects. Internally, it stores a reference to a Python object
(PyObject*) and is responsible for: calling the Python object’s
pull() method to retrieve the next frame, calling the descr_of()
method to obtain the frame format description, acquiring and
releasing the Python GIL as needed, converting the returned
numpy.ndarray into cv::Mat, and handling any exceptions or
conversion errors with proper diagnostics.
- A Python-facing factory function, cv.gapi.wip.make_py_src(),
which takes a Python object as an argument and wraps it into a
cv::Ptr<IStreamSource>. Internally, this function constructs a
PythonCustomStreamSource instance and passes the Python object to
it. This design allows Python users to define any class that
implements two methods: pull() and descr_of(). No subclassing or
special decorators are required on the Python side. The user
simply needs to implement the expected interface.
Co-authored-by: Leonor Francisco <leonor.francisco@tecnico.ulisboa.pt>
Check MS Media Foundation availability in G-API too #27355
Tries to address https://github.com/opencv/opencv-python/issues/771
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Adding AddRgbFeature(), and improving robustness in ComputeRgbDistance().
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Add missing include in gislandmodel.hpp #26879
Add `<exception>`, `<string>`, and `<cstddef>` includes to `gislandmodel.hpp` which are required due to the usage of `std::exception_ptr`, `std::string`, and `size_t` in this header.
Notably one of those causes a build error on recent versions of Xcode: #26780
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Support C++20 standard #26590
Close https://github.com/opencv/opencv/issues/26589
Related https://github.com/opencv/opencv_contrib/pull/3842
Related: https://github.com/opencv/opencv/issues/20269
- do not arithmetic enums and ( different enums or floating numeric)
- remove unused variable
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G-API: Introduce level optimization flag for ONNXRT backend #26293
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Fix typos #26038
Fix typos
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Handling I32/I64 data types in G-API ONNX back-end #25817
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Extending G-API onnx::Params to pass arbitrary session options #25791
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Suppress build warnings for GCC14 #25686Close#25674
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Port G-API ONNXRT backend into V2 API #25662
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G-API OV backend requires cv::MediaFrame #24938
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**Background_subtraction demo G-API issue. Update:**
Porting to API20 resulted in an error (both for CPU and NPU):
```
[ERROR] OpenCV(4.9.0-dev) /home/runner/work/open_model_zoo/open_model_zoo/cache/opencv/modules/gapi/src/backends/ov/govbackend.cpp:813: error: (-215: assertion not done ) cv::util::holds_alternative<cv::GMatDesc>(input_meta) in function 'cfgPreProcessing'
```
Adding cv::MediaFrame support to govbackend resulted in the following (tested with CPU):
<img width="941" alt="image" src="https://github.com/opencv/opencv/assets/52502732/3a003d61-bda7-4b1e-9117-3410cda1ba32">
### TODO
- [ ] **As part of the review process [this comment](https://github.com/opencv/opencv/pull/24938#discussion_r1487694043) was addressed which make it impossible to run the demo. I will bring those changes back in a separate PR [support `PartialShape`]**
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G-API: A quick value-initialization support GMat #25055
This PR enables `GMat` objects to be value-initialized in the same way as it was done for `GScalar`s (and, possibly, other types).
- Added some helper methods in backends to distinguish if a certain G-type value initialization is supported or not;
- Added tests, including negative.
Where it is needed:
- Further extension of the OVCV backend (#24379 - will be refreshed soon);
- Further experiments with DNN module;
- Further experiments with "G-API behind UMat" sort of aggregation.
In the current form, PR can be reviewed & merged (@TolyaTalamanov please have a look)
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G-API: Lower supported IE backend version #25054
Related to https://github.com/opencv/opencv/issues/25053
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G-API: Implement concurrent executor #24845
## Overview
This PR introduces the new G-API executor called `GThreadedExecutor` which can be selected when the `GComputation` is compiled in `serial` mode (a.k.a `GComputation::compile(...)`)
### ThreadPool
`cv::gapi::own::ThreadPool` has been introduced in order to abstract usage of threads in `GThreadedExecutor`.
`ThreadPool` is implemented by using `own::concurrent_bounded_queue`
`ThreadPool` has only as single method `schedule` that will push task into the queue for the further execution.
The **important** notice is that if `Task` executed in `ThreadPool` throws exception - this is `UB`.
### GThreadedExecutor
The `GThreadedExecutor` is mostly copy-paste of `GExecutor`, should we extend `GExecutor` instead?
#### Implementation details
1. Build the dependency graph for `Island` nodes.
2. Store the tasks that don't have dependencies into separate `vector` in order to run them first.
3. at the `GThreadedExecutor::run()` schedule the tasks that don't have dependencies that will schedule their dependents and wait for the completion.
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G-API: Support CoreML Execution Providers for ONNXRT Backend #24068
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G-API: Get input model layout from the IR if possible in OV 2.0 backend #24658
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G-API: Implement inference only mode for OV backend #24584
### Changes overview
Introduced `cv::gapi::wip::ov::benchmark_mode{}` compile argument which if enabled force `OpenVINO` backend to run only inference without populating input and copying back output tensors.
This mode is only relevant for measuring the performance of pure inference without data transfers. Similar approach is using on OpenVINO side in `benchmark_app`: https://github.com/openvinotoolkit/openvino/blob/master/samples/cpp/benchmark_app/benchmark_app.hpp#L134-L139
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Vigh Sebastian
yuomy
manfred
Murat Raimbekov
Alexander Smorkalov
Vincent Rabaud
fcmiron
Alexander Smorkalov
Stefania Hergane
Andrei Tamas
Rita Melo
sujal
Anastasiya Pronina
shyama7004
Malacath-92
WangWeiLin-MV
Kumataro
Maksim Shabunin
Septimiu Neaga
ShengYu
lamiayous
Ujjayant Kadian
Alexander Smorkalov
Daria Mityagina
Yuantao Feng
Dmitry Matveev
Anatoliy Talamanov
Alexey Smirnov