- Suppressed FFMPEG + h264, h265 as it does not pass tests with CI configuration.
- Suppressed MediaFoundation backend as it always returns zero for now.
[G-API]: kmeans() Standard Kernel Implementation
* cv::gapi::kmeans kernel implementation
- 4 overloads:
- standard GMat - for any dimensionality
- GMat without bestLabels initialization
- GArray<Point2f> - for 2D
- GArray<Point3f> - for 3D
- Accuracy tests:
- for every input - 2 tests
1) without initializing. In this case, no comparison with cv::kmeans is done as kmeans uses random auto-initialization
2) with initialization
- in both cases, only 1 attempt is done as after first attempt kmeans initializes bestLabels randomly
* Addressing comments
- bestLabels is returned to its original place among parameters
- checkVector and isPointsVector functions are merged into one, shared between core.hpp & imgproc.hpp by placing it into gmat.hpp (and implementation - to gmat.cpp)
- typos corrected
* addressing comments
- unified names in tests
- const added
- typos
* Addressing comments
- fixed the doc note
- ddepth -> expectedDepth, `< 0 ` -> `== -1`
* Fix unsupported cases of input Mat
- supported: multiple channels, reversed width
- added test cases for those
- added notes in docs
- refactored checkVector to return dimentionality along with quantity
* Addressing comments
- makes chackVector smaller and (maybe) clearer
* Addressing comments
* Addressing comments
- cv::checkVector -> cv::gapi::detail
* Addressing comments
- Changed checkVector: returns bool, quantity & dimensionality as references
* Addressing comments
- Polishing checkVector
- FIXME added
* Addressing discussion
- checkVector: added overload, separate two different functionalities
- depth assert - out of the function
* Addressing comments
- quantity -> amount, dimensionality -> dim
- Fix typos
* Addressing comments
- fix docs
- use 2 variable's definitions instead of one (for all non-trivial variables)
* TBB executor for GAPI
- the sole executor
- unit tests for it
- no usage in the GAPI at the momnet
* TBB executor for GAPI
- introduced new overload of execute to explicitly accept tbb::arena
argument
- added more basic tests
- moved arena creation code into tests
-
* TBB executor for GAPI
- fixed compie errors & warnings
* TBB executor for GAPI
- split all-in-one execute() function into logicaly independant parts
* TBB executor for GAPI
- used util::variant in in the tile_node
* TBB executor for GAPI
- moved copy_through_move to separate header
- rearranged details staff in proper namespaces
- moved all implementation into detail namespace
* TBB executor for GAPI
- fixed build error with TBB 4.4.
- fixed build warnings
* TBB executor for GAPI
- aligned strings width
- fixed spaces in expressions
- fixed english grammar
- minor improvements
* TBB executor for GAPI
- added more comments
- minor improvements
* TBB executor for GAPI
- changed ITT_ prefix for macroses to GAPI_ITT
* TBB executor for GAPI
- no more "unused" warning for GAPI_DbgAssert
- changed local assert macro to man onto GAPI_DbgAssert
* TBB executor for GAPI
- file renamings
- changed local assert macro to man onto GAPI_DbgAsse
* TBB executor for GAPI
- test file renamed
- add more comments
* TBB executor for GAPI
- minor clenups and cosmetic changes
* TBB executor for GAPI
- minor clenups and cosmetic changes
* TBB executor for GAPI
- changed spaces and curly braces alignment
* TBB executor for GAPI
- minor cleanups
* TBB executor for GAPI
- minor cleanups
Support XCFramework builds, Catalyst
* Early work on xcframework support
* Improve legibility
* Somehow this works
* Specify ABIs in a place where they won't get erased
If you pass in the C/CXX flags from the Python script, they won't be respected. By doing it in the actual toolchain, the options are respected and Catalyst successfully links.
* Clean up and push updates
* Actually use Catalyst ABI
Needed to specify EXE linker flags to get compiler tests to link to the Catalyst ABIs.
* Clean up
* Revert changes to common toolchain that don't matter
* Try some things
* Support Catalyst build in OSX scripts
* Remove unnecessary iOS reference to AssetsLibrary framework
* Getting closer
* Try some things, port to Python 3
* Some additional fixes
* Point Cmake Plist gen to osx directory for Catalyst targets
* Remove dynamic lib references for Catalyst, copy iOS instead of macos
* Add flag for building only specified archs, remove iOS catalyst refs
* Add build-xcframework.sh
* Update build-xcframework.sh
* Add presumptive Apple Silicon support
* Add arm64 iphonesimulator target
* Fix xcframework build
* Working on arm64 iOS simulator
* Support 2.7 (replace run with check_output)
* Correctly check output of uname_m against arch
* Clean up
* Use lipo for intermediate frameworks, add python script
Remove unneeded __init__.py
* Simplify python xcframework build script
* Add --only-64-bit flag
* Add --framework-name flag
* Document
* Commit to f-strings, improve console output
* Add i386 to iphonesimulator platform in xcframework generator
* Enable objc for non-Catalyst frameworks
* Fix xcframework builder for paths with spaces
* Use arch when specifying Catalyst build platform in build command
* Fix incorrect settings for framework_name argparse configuration
* Prefer underscores instead of hyphens in new flags
* Move Catalyst flags to where they'll actually get used
* Use --without=objc on Catalyst target for now
* Remove get_or_create_folder and simplify logic
* Remove unused import
* Tighten up help text
* Document
* Move common functions into cv_build_utils
* Improve documentation
* Remove old build script
* Add readme
* Check for required CMake and Xcode versions
* Clean up TODOs and re-enable `copy_samples()`
Remove TODO
Fixup
* Add missing print_function import
* Clarify CMake dependency documentation
* Revert python2 change in gen_objc
* Remove unnecessary builtins imports
* Remove trailing whitespace
* Avoid building Catalyst unless specified
This makes Catalyst support a non-breaking change, though defaults should be specified when a breaking change is possible.
* Prevent lipoing for the same archs on different platforms before build
* Rename build-xcframework.py to build_xcframework.py
* Check for duplicate archs more carefully
* Prevent sample copying error when directory already exists
This can happen when building multiple architectures for the same platform.
* Simplify code for checking for default archs
* Improve build_xcframework.py header text
* Correctly resolve Python script paths
* Parse only known args in ios/osx build_framework.py
* Pass through uncaptured args in build_xcframework to osx/ios build
* Fix typo
* Fix typo
* Fix unparameterized build path for intermediate frameworks
* Fix dyanmic info.plist path for catalyst
* Fix utf-8 Python 3 issue
* Add dynamic flag to osx script
* Rename platform to platforms, remove armv7s and i386
* Fix creation of dynamic framework on maccatalyst and macos
* Update platforms/apple/readme.md
* Add `macos_archs` flag and deprecate `archs` flag
* Allow specification of archs when generating xcframework from terminal
* Change xcframework platform argument names to match archs flag names
* Remove platforms as a concept and shadow archs flags from ios/osx .py
* Improve documentation
* Fix building of objc module on Catalyst, excluding Swift
* Clean up build folder logic a bit
* Fix framework_name flag
* Drop passthrough_args, use unknown_args instead
* minor: coding style changes
Co-authored-by: Chris Ballinger <cballinger@rightpoint.com>
Support for Pool1d layer for OpenCV and OpenCL targets
* Initial version of Pool1d support
* Fix variable naming
* Fix 1d pooling for OpenCL
* Change support logic, remove unnecessary variable, split the tests
* Remove other depricated variables
* Fix warning. Check tests
* Change support check logic
* Change support check logic, 2
Added SQPnP algorithm to SolvePnP
* Added sqpnp
* Fixed test case
* Added fix for duplicate point checking and inverse func reuse
* Changes for 3x speedup
Changed norm method (significant speed increase), changed nearest rotation computation to FOAM
* Added symmetric 3x3 inverse and unrolled loops
* Fixed error with SVD
* Fixed error from with indices
Indices were initialized negative. When nullspace is large, points coplanar, and rotation near 0, indices not changed.
Fixing dnn Resize layer for variable input size
* Fix onnx loading of resize/upsample layers for different opset
* group all DynamicResize tests
* cleaned up scales checks
* Simplify branching
Expose CGImage <-> Mat conversion for iOS platforms
* Add apple_conversions to framework builds
This exposes CGImage <-> Mat conversion.
* Export Mat <-> CGImage methods on iOS targets
* Add CGImage converters to iOS objc helper class
* Add CF_RETURNS_RETAINED annotations to methods returning CGImageRef
Ordinary quaternion
* version 1.0
* add assumeUnit;
add UnitTest;
check boundary value;
fix the func using method: func(obj);
fix 4x4;
add rodrigues vector transformation;
fix mat to quat;
* fix blank and tab
* fix blank and tab
modify test;cpp to hpp
* mainly improve comment;
add rvec2Quat;fix toRodrigues;
fix throw to CV_Error
* fix bug of quatd * int;
combine hpp and cpp;
fix << overload error in win system;
modify include in test file;
* move implementation to quaternion.ini.hpp;
change some constructor to createFrom* function;
change Rodrigues vector to rotation vector;
change the matexpr to mat of 3x3 return type;
improve comments;
* try fix log function error in win
* add enums for assumeUnit;
improve docs;
add using std::cos funcs
* remove using std::* from header;
add std::* in affine.hpp,warpers_inl.hpp;
* quat: coding style
* quat: AssumeType => QuatAssumeType
The most of target machine use one type cpu unit resource
to execute some one type of instruction, e.g.
all vx_load API use load/store cpu unit,
and v_muladd API use mul/mula cpu unit, we interleave
vx_load and v_muladd to improve performance on most targets like
RISCV or ARM.
Fix loading issue for Faster RCNN model from #16783
* Add a reproducer with multi-output Gather
* Fix an issue with ONNX graph simplifier
* fix build
* Move checks to correct class
* Minor changes for better code appearence
G-API: ONNX. Support tensor input for CNN with dynamic input
* Added support for dynamic input tensor, refactored one input/output tests
* Added multiple input/output fixture, test for mobilenet
* Removed whitespace
* Removed mistake in inferROI
* Small fixes
* One more fix
* Code cleanup
* Code cleanup X2
* bb rstrt
* Fix review comments
* One more fix review comments
* Mistake
Alexander Smorkalov
Anton Potapov
Orest Chura
Alexander Alekhin
Anatoliy Talamanov
Ruslan Garnov
Dale Phurrough
Jonathan Cole
Maxim Pashchenkov
Sergei Slashchinin
Or Avital
YashasSamaga
Jiri Kucera
Joe
Nathan Godwin
Julien
Felix Gorschlüter
chargerKong
Ian Maquignaz
Liubov Batanina
Jojo R
Suleyman TURKMEN
Omar Alzaibaq
Dmitry Matveev
Sergey Slashchinin