The change is needed due to removing default opset namespace for Unsqueeze
in the scope of this refactoring activity: https://github.com/openvinotoolkit/openvino/pull/2767
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* G-API: Introduce ONNX backend for Inference
- Basic operations are implemented (Infer, -ROI, -List, -List2);
- Implemented automatic preprocessing for ONNX models;
- Test suite is extended with `OPENCV_GAPI_ONNX_MODEL_PATH` env for test data
(test data is an ONNX Model Zoo repo snapshot);
- Fixed kernel lookup logic in core G-API:
- Lookup NN kernels not in the default package, but in the associated
backend's aux package. Now two NN backends can work in the same graph.
- Added Infer SSD demo and a combined ONNX/IE demo;
* G-API/ONNX: Fix some of CMake issues
Co-authored-by: Pashchenkov, Maxim <maxim.pashchenkov@intel.com>
Expand ie::Params to support config
* Add config to IE params
* Add test
* Remove comments from tests
* Rename to pluginConfig
* Add one more overloads for pluginConfig
* Add more tests
Set queue size = 1 to Copy island right after the desync.
In this case, Copy won't read more data from a "last_written"
container than required, while feeding the desynchronized path.
Sometimes Copy don't get fused into an island and behaves
on its own -- in this case, it reads more data in advance
so the slow (desync) part actually processes some data in-sync
(more than actually required)
- cv::gapi::serialize bypasses compile arguments which have no S11N specialization with serialize/deserialize callbacks for underlying types
- cv::gapi::deserialize can accept arbitraty number of serialized compile args in a stream but will return only those which are requested by user via template parameter pack if they are presented in the stream. If some or all of them are not presented cv::gapi::deserialize will ignore and return only those which are presented
- cv::gapi::deserialize can accept only types which can be deserialized (have S11N<T> specialization with the user callbacks)
- Added cv::gapi::s11n::detail::has_S11N_spec<T> trait to separate compile arguments which have S11N<T> specialization with the user callbacks
- desync() is a new (and for now, the only one) intrinsic
which splits the graph execution into asynchronous parts
when running in Streaming mode;
- desync() makes no effect when compiling in Traditional mode;
- Added tests on desync() working in various scenarios;
- Extended GStreamingExecutor to support desync(); also extended
GStreamingCompiled() with a new version of pull() returning a
vector of optional values;
- Fixed various issues with storing the type information & proper
construction callbacks for GArray<> and GOpaque;
- Introduced a new infer(Roi,GMat) overload with a sample;
- Introduced an internal API for Islands to control fusion
procedure (to fuse or not to fuse);
- Introduced handleStopStream() callback for island executables;
- Added GCompileArgs to metadata of the graph (required for other
features).
- Changed descr_of(RMat) to use canDescribeHelper to correctly handle planar case
- Added export of createMat
- Added setting of Storage::INPUT and Storage::OUTPUT in deserialization routine of GComputation
Detection and decoding of curved QR-codes
* temp changes for curved qrcodes
* added api for curved qr code decoding
* fixed prototypes
* refactored curved qr code decoding
* refactored curved qr code decoding 2nd part
* refactored curved qr code decoding 3rd part
* refactored curved qr code decoding 4th part
* added tests for curved qr code decoding
* refactored curved qr code decoding 5th part
Add support for Swift version independence
* Build for distribution (Swift version independence) when new Xcode build system is available
* Add module map and set "Defines Modules" flag
* support similarity masks
* add test for similarity threshold
* short license in test
* use UMat in buildSimilarityMask
* fix win32 warnings
* fix test indentation
* fix umat/mat sync
* no in-place argument for erode/dilate
Fixes two errors when building with the options WITH_CUDA=ON and BUILD_CUDA_STUBS=ON on a machine without CUDA.
In the cudaarithm module, make sure cuda_runtime.h only gets included when CUDA is installed.
In the stitching module, don't assume that cuda is present just because cudaarithm and cudawarping are present (as is the case when building with the above options).
