* added depth-wise convolution; gives ~20-30% performance improvement in MobileSSD networks
* hopefully, eliminated compile warnings, errors, as well as failure in one test
* * fixed a few typos
* decreased buffer size in some cases
* added more optimal im2row branch in the case of 1x1 convolutions
* tuned fastConv to reduce the number of passes over arrays
libjasper has recently changed `jas_matrix_get` from a macro to an inline function
(389951d071 in https://github.com/jasper-software/jasper), causing the build to fail.
* add findEssentialMat for two different cameras
* added smoke test for the newly added variant of findEssentialMatrix
Co-authored-by: tompollok <tom.pollok@gmail.com>
* Implement G-API python bindings
* Fix hdr_parser
* Drop initlization with brackets using regexp
* Handle bracket initilization another way
* Add test for core operations
* Declaration and definition of View constructor now in different files
* Refactor tests
* Remove combine decorator from tests
* Fix comment to review
* Fix test
* Fix comments to review
* Remove GCompilerArgs implementation from python
Co-authored-by: Pinaev <danil.pinaev@intel.com>
* Added overload for `GArray<GMat>` ProtoParam in `gtyped.hpp`
* Tests+compile_args
- added tests for GArray<GMat> as an input and an output of GComputationT
- added possibility to give the compile_args to GComputationT.apply()
* Fix win errors
- Added test for automated rotation for MP4 videos with metadata
- Fix 180 degrees rotation bug
- Moved rotation logic to cv::VideoCapture implementation for FFmpeg and restore binary compatibility with FFmpeg wrapper.
- Add VideoCapture camera orientation property for mp4 videos with camera orientation meta.
- Add auto rotation for 90, 180, 270 degrees using cv::rotate
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
Vadim Pisarevsky
Yashas Samaga B L
kadi soheib
Pavel Rojtberg
Florian Jung
Namgoo Lee
Anatoliy Talamanov
Orest Chura
Tomoaki Teshima
Alexander Smorkalov
Alexey Lapshin
Sinitsina
Giles Payne
Ilya Churaev
Liubov Batanina
Ilya Churaev
Alexander Alekhin
Dmitry Matveev
Giles Payne
Pinaev Danil
Dmitry Kurtaev
Anton Potapov
Dmitry Budnikov
pemmanuelviel
jasonKercher