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>
* 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).
* add HEVC(H.265) codec to iOS,Mac VideoWriter
* Update cap_avfoundation_mac.mm
add CV_FOURCC('h','v','c','1') for HEVC codec
* Update cap_avfoundation.mm
add CV_FOURCC('h','v','c','1') for HEVC codec
* feat: add availability check for HEVC codec on iOS and OS X
Co-authored-by: Vadim Levin <vadim.levin@xperience.ai>
[GSoC] OpenCV.js: WASM SIMD optimization 2.0
* gsoc_2020_simd Add perf test for filter2d
* add perf test for kernel scharr and kernel gaussianBlur
* add perf test for blur, medianBlur, erode, dilate
* fix the errors for the opencv PR robot
fix the trailing whitespace.
* add perf tests for kernel remap, warpAffine, warpPersepective, pyrDown
* fix a bug in modules/js/perf/perf_imgproc/perf_remap.js
* add function smoothBorder in helpfun.js and remove replicated function in perf test of warpAffine and warpPrespective
* fix the trailing white space issues
* add OpenCV.js loader
* Implement the Loader with help of WebAssembly Feature Detection, remove trailing whitespaces
* modify the explantion for loader in js_setup.markdown and fix bug in loader.js
GAPI: Addition new Color conversion kernels to CPU backend.
* Add BGR2RGB kernel to CPU backend
* Add BGR2I420 and RGB2I420 kernels to CPU backend
* Add I4202BGR and I4202RGB kernels to CPU backend
[GAPI] RMat integration into the framework
* RMat integration
* Added initialization of input mat in GArray initialization tests
* Fixed klocwork warnings in RMat tests, changed argument order in EXPECT_EQ
A running GMainLoop processes many events on the GLib/GStreamer
world. While some things may work without it, many others wont.
Examples of these are signals, timers and many other source
events. The problem becomes more concerning by the fact that
some GStreamer elements rely on signals to work.
This commit allows the user to specify an OpenCV option to
start a main loop, if needed. Since the loop blocks, this is
done in a separate thread.
[G-API] Export a part of serialization interface
* Initial stub
* Add test on serialization of a custom type
* Namespaces rework
* Fix isSupported in test struct
* Fix clang build and rework namespaces
* Remove redundant header
[G-API]: countNonZero() Standard Kernel Implementation
* Add countNonZero() standard kernel
- API and documentation provided
- OCV backend supported
- accuracy and performance tests provided
- some refactoring of related documentation done
* Fix GOpaque functionality for OCL Backend
- test for OCL Opaque usage providied
* countNonZero for GPU
- OCL Backend implementation for countNonZero() added
- tests provided
* Addressing comments
[G-API] Add support for more types serialization
* Support more types
* Add std::string support
* Fix GOpaque and gin interaction
* Fix tests on kind
* Make map serialization support templates and add tests on kind
Update G-API slides to OpenCV 4.4
* G-API: Updated slides to v4.4 (+ sample)
* Slight formatting changes + Python API page
* Some more updates to slides:
- Added more info on 4.2 and 4.4 versions
- Added explanation on Operations and their functional wrappers
* G-API: Make GFrame a new (distinct) G-type, not an alias to GMat
- The underlying host type is still cv::Mat, a new cv::MediaFrame
type is to be added as a separate PR
* Fix warnings and review comments
- Somewhow there was a switch() without a default: clause in Fluid
