GAPI: Migration to IE Core API
* Migration to IE Core API
- both versions are maintained
- checked building with all the OpenVINO versions (2019.R1, R2, R3, 2020.4 (newest))
* commit to awake builders
* Addressing comments
- migrated to Core API in 'gapi_ie_infer_test.cpp'
- made Core a singleton object
- dropped redundant steps
* Addressing comments
- modified Mutex locking
* Update
* Addressing comments
- remove getInitMutex()
- reduce amount of #ifdef by abstracting into functions
* return to single IE::Core
* Divide functions readNet and loadNet to avoid warnings on GCC
* Fix deprecated code warnings
* Fix deprecated code warnings on CMake level
* Functions wrapped
- All the functions depended on IE version wrapped into a cv::gapi::ie::wrap namesapace
- All this contained to a new "giebackend/gieapi.hpp" header
- The header shared with G-API infer tests to avoid code duplications
* Addressing comments
- Renamed `gieapi.hpp` -> `giewrapper.hpp`, `cv::gapi::ie::wrap` -> `cv::gimpl::ie::wrap`
- Created new `giewrapper.cpp` source file to avoid potential "multiple definition" problems
- removed unnecessary step SetLayout() in tests
* Enabling two NN infer teest
* Two-NN infer test change for CI
- deleted additional network
- inference of two identical NN used instead
* Fix CI fileNotFound
* Disable MYRIAD test not to fail Custom CI runs
[G-API] Allow building graphs with a dynamic number of inputs and outputs
* Add dinamic graph feature and tests
* Remove unnecessary file
* Review response
* Add implementation of operator += for GRunArgs
And test for that case
* Tests refactoring
* Add doxygen
Review response
* Fix docs
* A small documentation fix
* Review response
* Add tests for more entities
* Add typed tests
* Another typed tests
* Doc fix
* Documentation fix
* Build fix
* Commit for rebuild
* The last one
* G-API: Introduce a new gapi::infer2 overload + gaze estimation sample
* G-API/infer2: Introduced static type checking for infer2
- Also added extra tests on the type check routine
* G-API/infer2: Addressed self-review comments in the sample app
- Also fix build on Linux;
* G-API/infer2: Remove incorrect SetLayout(HWC) + dead code
- Also fixed comments in the backend
* G-API/infer2: Continue with self-review
- Fix warnings/compile errors in gaze estimation
- Dropped the use of RTTI (VectorRef::holds()) from the giebackend
- Replaced it with a trait-based enums for GArray<T> and std::vector<T>
- The enums and traits are temporary and need to be unified with
the S11N when it comes
* G-API/infer2: Final self-review items
- Refactored ROIList test to cover 70% for infer<> and infer2<>;
- Fixed the model data discovery routine to be compatible with new
OpenVINO;
- Hopefully fixed the final issues (warnings) with the sample.
* G-API/infer2: address review problems
- Fixed typo in comments;
- Fixed public (Doxygen) comment on GArray<GMat> input case for infer2;
- Made model lookup more flexible to allow new & old OMZ dir layouts.
* G-API/infer2: Change the model paths again
* G-API/infer2: Change the lookup path for test data
* G-API/infer2: use randu instead of imread. CI war is over
G-API args serialization
* args serialization
* GRunArgP draft
* UMat added
* bind added
* DmitryM's review addressed. Code clean up required.
* fix android build
* bind test added
* more comments addressed
* try to fix Mac build
* clean up
* header-based generic implementation (GRunArg)
* clang again
* one more attempt for clang
* more clean up
* More Dmitry's comments addressed.
* monostate removed
* Top level functions and some other comments addressed.
* fix warnings
* disable warning
Pev binary kmeans
* Ongoing work transposing kmeans clustering method for bitfields: the computeClustering method
Ongoing work transposing kmeans clustering method for bitfields: interface computeBitfieldClustering
Fix genericity of computeNodeStatistics
Ongoing work transposing kmeans clustering method for bitfields: adapt computeNodeStatistics()
Ongoing work transposing kmeans clustering method for bitfields: adapt findNN() method
Ongoing work transposing kmeans clustering method for bitfields: allow kmeans with Hamming distance
Ongoing work transposing kmeans clustering method for bitfields: adapt distances code
Ongoing work transposing kmeans clustering method for bitfields: adapt load/save code
Ongoing work transposing kmeans clustering method for bitfields: adapt kmeans hierarchicalClustring()
PivotType -> CentersType Renaming
Fix type casting for ARM SIMD implementation of Hamming
Fix warnings with Win32 compilation
Fix warnings with Win64 compilation
Fix wrong parenthesis position on rounding
* Ensure proper rounding when CentersType is integral
double area = moms.m00;
is same as
double area = contourArea(contours[contourIdx]);
Not to mention
"moms" already calculated here,"contourArea" should not apply
