Render Frame NV12 on CPU
* render frame on CPU
* doxygen fix
* address review from Alexey
* comment fixes
* Address comments from Ruslan
* remove NV12 specific
* mat clone and more renaming
* misprint fix
* goodFeaturesToTrack returns also corner value
(cherry picked from commit 4a8f06755c)
* Added response to GFTT Detector keypoints
(cherry picked from commit b88fb40c6e)
* Moved corner values to another optional variable to preserve backward compatibility
(cherry picked from commit 6137383d32)
* Removed corners valus from perf tests and better unit tests for corners values
(cherry picked from commit f3d0ef21a7)
* Fixed detector gftt call
(cherry picked from commit be2975553b)
* Restored test_cornerEigenValsVecs
(cherry picked from commit ea3e11811f)
* scaling fixed;
mineigen calculation rolled back;
gftt function overload added (with quality parameter);
perf tests were added for the new api function;
external bindings were added for the function (with different alias);
fixed issues with composition of the output array of the new function (e.g. as requested in comments) ;
added sanity checks in the perf tests;
removed C API changes.
* minor change to GFTTDetector::detect
* substitute ts->printf with EXPECT_LE
* avoid re-allocations
Co-authored-by: Anas <anas.el.amraoui@live.com>
Co-authored-by: amir.tulegenov <amir.tulegenov@xperience.ai>
* fix core module android arm64 build
* fix core module android build when neon is off
When building for Android ARM platform, cmake with
`-D CV_DISABLE_OPTIMIZATION=ON`, the expected behavior is
not using ARM NEON, using naive computation instead.
This commit fix the un-expected compile error for neon intrinsincs.
* [hal][neon] Optimize the v_dotprod_fast intrinsics for aarch64.
On Armv8 in AArch64 execution mode, we can skip the sequence
v<op>_<ty>(vget_high_<ty>(x), vget_high_<ty>(y))
in favour of
v<op>_high_<ty>(x, y)
This has better changes for recent compilers to use less data movement
operations and better register allocation. See for example:
https://godbolt.org/z/bPq7vd
* [hal][neon] Fix build failure on armv7.
* [hal][neon] Address review comments in PR.
PR: https://github.com/opencv/opencv/pull/19486
* [hal][neon] Define macro to check for the AArch64 execution state of Armv8.
* [hal][neon] Fix macro definition for AArch64.
The fix is needed to prevent warnings when building for Armv7.
[G-API] Introduce GOpaque and GArray for python
* Introduce GOpaque and GArray for python
* Fix ctor
* Avoid code duplication by using macros
* gapi: move Python-specific files to misc/python
* Fix windows build
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
they might be thrown from third-party code (notably Ogre in the ovis
module).
While Linux is kind enough to print them, they cause instant termination
on Windows.
Arguably, they do not origin from OpenCV itself, but still this helps
understanding what went wrong when calling an OpenCV function.
Return accumulator value in HoughLines algorithm
* try to solve #17050
use cv_wrap_as
add python test
parameters
* review
* move wrapper to imgproc/bindings.hpp
G-API: ONNX. Support for networks with three dimensional input.
* Padding without tests
* Removed padding
* Some small fixes
* Added wstring_convert
* Alignment fix, m b
* Small fixes
* Moved include from onnx.hpp
VideoCapture/DSHOW : Allow to set CAP_PROP_CONVERT_RGB before FOURCC/FPS/CHANNEL/WIDTH/HEIGHT.
* 🐛 cap_dshow : Allow to set CAP_PROP_CONVERT_RGB before FOURCC/FPS/CHANNEL
* 🐛 cap_dshow : fix g_VI.setConvertRGB not being called with correct boolean value on first property set.
* ✅ cap_dshow : Test CAP_PROP_CONVERT_RGB persistence
* 🚨 Fix cast from bool to double
* 🚨 Fix trailing whitespace
add video capture parameters
* add parameters
* videoio: revert unnecessary massive changes
* videoio: support capture parameters in backends API
- add tests
- FFmpeg backend sample code
- StaticBackend API is done
- support through PluginBackend API will be added later
Co-authored-by: Milashchenko <maksim.milashchenko@intel.com>
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
[G-API]: Performance tests for fitLine and findContours
* Perf.Test for findContours(H)
* Perf.Test for fitLine(2D.3D;Mat,vector<Point2i/2f/2d/3i/3f/3d>)
* Reducing the template specializations number
* Applying comments
Conv1D and Pool1D for CUDA backend
* CUDA-independent changes
* Add Conv1D and Pool1D for CUDA backend
* CUDA-independent changes
* Fix typo
* fix comment
* Update fix
* make changes more correct for pooling layer
* Minor fixes for review
* Split skip blocks
* [ts][summary.py] Extend `-o` to support tabs separated output.
* [ts][summary.py] Improve TABS sepatated output.
There is no need to print TAB at the beginning and at the end of each
row in the table.
Cosmetic change: using python list comprehension instead of for loop
to process a single row.
- migrate GStreamer backed
- migrate FFmpeg backend (with switch on legacy API)
- cv_videoio_capture_retrieve_cb_t uses Mat type instead of number of channels
[G-API]: Performance tests for boundingRect
* Update boundingRect() tests with the changes from fitLine() PR
* Add performance tests for boundingRect
* Applying comment about g_type_of_t
* Addressing comments
* Addressing comment: replace cmp_f by CompareF in perf.tests + add the default constructor for CompareF
* Fix typo
G-API: Support GFrame for ONNX infer
* Added GFrame for ONNX
* Cut test
* Removed IE from assert
* Review comments
* Added const/bbot rstrt
* View instead unique_ptr in func. sig.
* Added extractMat function, ONNXCompiled contains exMat - cv::Mat with non processed input data
* Added meta check for inferList2
* implements https://github.com/opencv/opencv/issues/19147
* CAUTION: this PR will only functions safely in the
4+ branches that already include PR 19029
* CAUTION: this PR requires thread-safe startup of the alloc.cpp
translation unit as implemented in PR 19029
Fisheye test has been updated to use new enum cv::fisheye::CALIB_ZERO_DISPARITY and included CV_StaticAssert(...) to ensure cv::CALIB_ZERO_DISPARITY == cv::fisheye::CALIB_ZERO_DISPARITY.
- detect case with infinite loop and raise NoConv exception
- handle such exception
- add support for case with missing `blobDetector` (image contains Point2f array of candidates)
- add regression test
- undone rectification for "failed" detections too
- drop redirectError() usage
[G-API] Support GFrame for infer
* GInfer(GFrame), currently broken
* Fixed (API only)
* Support GFrame in GIEBackend
* Fix comments to review
* Fix comments to review
* Fix doxygen
* Fix building with different IE versions
* Fix warning on MacOS
Co-authored-by: Dmitry Matveev <dmitry.matveev@intel.com>
Co-authored-by: Smirnov Alexey <alexey.smirnov@intel.com>
add thread-safe startup of fastMalloc and fastFree
* add perf test core memory allocation
* fix threading in isAlignedAllocationEnabled()
* tweaks requested by maintainer
Add CV_16UC1/GRAY16_LE support to GStreamer backend for VideoWriter
* videoio(backend): add Writer_open_with_params to plugin API
This will allow arbitrary parameters to be passed to plugin backends
* videoio(gstreamer): add GRAY16_LE/CV_16UC1 writing support to GStreamer
This introduces a new property VIDEOWRITER_PROP_DEPTH, which defaults to
CV_8U, but for GStreamer can be set to CV_16U.
Also, fix another test to not fail if plugin isn't found, copying logic
from the read_write test.
* videoio(plugin): fix handling plugins with previous API level
* videoio: coding style
* fix warning
[GSoC] High Level API and Samples for Scene Text Detection and Recognition
* APIs and samples for scene text detection and recognition
* update APIs and tutorial for Text Detection and Recognition
* API updates:
(1) put decodeType into struct Voc
(2) optimize the post-processing of DB
* sample update:
(1) add transformation into scene_text_spotting.cpp
(2) modify text_detection.cpp with API update
* update tutorial
* simplify text recognition API
update tutorial
* update impl usage in recognize() and detect()
* dnn: refactoring public API of TextRecognitionModel/TextDetectionModel
* update provided models
update opencv.bib
* dnn: adjust text rectangle angle
* remove points ordering operation in model.cpp
* update gts of DB test in test_model.cpp
* dnn: ensure to keep text rectangle angle
- avoid 90/180 degree turns
* dnn(text): use quadrangle result in TextDetectionModel API
* dnn: update Text Detection API
(1) keep points' order consistent with (bl, tl, tr, br) in unclip
(2) update contourScore with boundingRect
Enable frame timestamp tests for MSMF
Add functional test for camera live timestamps
Remove trailing whitespace
Add timestamp test to all functional tests. Protect div by 0
Add Timestamps to MSMF Video Capture by index
Add option for NMS for boxes with different labels
* DetectionModel impl
* Add option for NMS for boxes with different labels
In the detect function in modules/dnn/include/opencv2/dnn/dnn.hpp, whose implementation can be found at modules/dnn/src/model.cpp, the Non Max Suppression (NMS) is applied only for objects of the same label. Thus, a flag
was added with the purpose to allow developers to choose if they want to keep the default implementation or wether they would like NMS to be applied to all the boxes, regardless of label.
The flag is called nmsDifferentLabels, and is given a default value of false, which applies the current default implementation, thus allowing existing projects to update opencv without disruption
Solves issue opencv#18832
* Change return type of set & Add default constr
* Add assertions due to default constructor
The test has race condition, which is addressed by the patch.
The race is next:
Master thread is calling execute (effectively blocked, waiting for
callback to be called)
"Async" thread picks up the callback
Call the callback
Then sets the variables in test
After call back is called, master thread is unblocked and may check
the variables (set in point 4 by the "async" thread) earlier then they
actually changed
Changes:
callback should be called as the last step (after flag variables are
set), as it effectively unblock the master thread
fixes#18974
- explicitly declared default constructor
- made initilizer_list constructor to accept the list by copy
-- as it is more canonical (and as copying the initializer_list does
not force copy of the list items)
-- current version anyway does not do what it is intended to
- 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
Add support for Conv1D on OpenCV backend
* Add support for Conv1D on OpenCV backend
* disable tests on other targets/backends
* Fix formatting
* Restore comment
* Remove unnecessary flag and fix test logic
* Fix perf test
* fix braces
* Fix indentation, assert check and remove unnecessary condition
* Remove unnecessary changes
* Add test cases for variable weights and bias
* dnn(conv): fallback on OpenCV+CPU instead of failures
* coding style
uEye are cameras from IDS, c.f. https://en.ids-imaging.com/
Supports driver version 4.94 and up currently, since the event system was overhauled there.
Supports setting/getting the properties: fps,width,height
[G-API]: findContours() and boundingRect() Standard Kernels Implementation
* Add findContours() standard kernel
- API and documentation provided:
- as OpenCV provides two overloads whether to calculate hierarchy or not, but they differ by only the output in sight of G-API, two different G-API functions and kernels implemented
- G-API Imgproc documentation divided into more parts according to imgproc module parts
- some typos connected with division into parts corrected
- `GArray<GArray<U>>` overload for `get_out` function provided to coonvert correctly into `vector<vector<U>>`
- OCV backend supported
- accuracy tests provided
* Add boundingRect() standard kernel
- API and documentation provided:
- GOpaque<Rect> used as an output
- as OpenCV provides two possibilities whether to take a gray-scale image or a set of 2D points (`Point2i` or `Point2f` supported), three different overloads of a single G-API function and three kernels implemented
- for a gray-scale image the overload via `GMat`
- for a set of `Point2i` - the one via GArray<`Point2i`>
- set of `Point2f` -> GArray<`Point2f`>
- OCV backend supported
- accuracy tests provided
- comparison function for Rects provided
- some typos in `gapi_tests_common` corrected
* Fix precommit windows warnings
* - Addressing comments:
- split tests
- Fix Windows warnings
* Static_cast for warnings
* - Remove randomness
- Fix unnecessary precision losses
* - Forgot reference for RNG
* addressing comments
* equalizeHist -> no group
* `const` addedin new functions
* Address suggestions:
- Hierarchical -> H
- added cv::GMatDesc::isVectorPoins()
- added support of giving a set of points to boundingRect()
* Addressing comments
- IoU comparison function added for Rects
- isPointsVector moved from a GMatDesc method to a separate function in imgproc.hpp
- enums instead of int
- typos corrected
* Addressing comments
- findContours: Point offset -> GOpaque<Point>
- removed "straight" comparison for Rects, IoU available only
- changed vectors initialization -> fix Debug test run
- Some typos
* added comment for later upgrades
* Fix not to corrupt docs by FIXME
* Addressing commens
- overload without offset added (as a temporary workaround)
- checkMetaForFindingContours -> validateFindingContoursMeta
- added ostream overload for enums used in tests
[G-API]: morphologyEx() Standard Kernel Implementation
* cv::gapi::morphologyEx() kernel
- implemented (without separate 3x3 version)
- tests added: check only different operations, not kernels/borders
* Address comments: add `const` where needed
* Replaced fundamental tyeps -> enums where needed
- added operator<< overload for cv::MorphTypes for tests output
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>
Added clapack
* bring a small subset of Lapack, automatically converted to C, into OpenCV
* added missing lsame_ prototype
* * small fix in make_clapack script
* trying to fix remaining CI problems
* fixed character arrays' initializers
* get rid of F2C_STR_MAX
* * added back single-precision versions for QR, LU and Cholesky decompositions. It adds very little extra overhead.
* added stub version of sdesdd.
* uncommented calls to all the single-precision Lapack functions from opencv/core/src/hal_internal.cpp.
* fixed warning from Visual Studio + cleaned f2c runtime a bit
* * regenerated Lapack w/o forward declarations of intrinsic functions (such as sqrt(), r_cnjg() etc.)
* at once, trailing whitespaces are removed from the generated sources, just in case
* since there is no declarations of intrinsic functions anymore, we could turn some of them into inline functions
* trying to eliminate the crash on ARM
* fixed API and semantics of s_copy
* * CLapack has been tested successfully. It's now time to restore the standard LAPACK detection procedure
* removed some more trailing whitespaces
* * retained only the essential stuff in CLapack
* added checks to lapack calls to gracefully return "not implemented" instead of returning invalid results with "ok" status
* disabled warning when building lapack
* cmake: update LAPACK detection
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.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).
