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
* Clean: replace C style asserts by CV_Assert and CV_DbgAssert
* Try fixing warning on Windows compilation
* Another way trying to fix warnings on Win
* Fixing warnings with some compilers:
Some compilers warn on systematic exit preventing to execute the code that follows.
This is why assert(0) that exits only in debug was working, but not CV_Assert or CV_Error
that exit both in release and debug, even if with different behavior.
In addition, other compilers complain when return 0 is removed from getKey(),
even if before we have a statement leading to systematic exit.
* Disable "unreachable code" warnings for Win compilers so we can use proper CV_Error
fix instable fisheye undistortPoints
* remove artefacts when (un)distorting fisheye images with large distortion coefficient values
* fix fisheye undistortion when theta is close to zero
* add fisheye image undistort and distort test
* Fixed type conversion warnings
* fixed trailing whitespace
Before, when maxCheck was reached in the first descent of a tree, time was still wasted parsing
the next trees till their best leaves whose points were not used at all.
Clarify component statistics documentation
* Change ConnectedComponentsTypes documentation
Change from "algorithm output formats" to "statistics" because it specifies types of statistics, not formats.
* Documentation: clarify component statistics
Explain that ConnectedComponentTypes selects a statistic.
Argument "a" is of type ElementType* that is either int* or float*, while b was double*.
Mixing types prevents the possibility to use SSE or AVX instructions.
On implementation without SIMD instructions, this doesn't show any impact on performance.
Fix cuda11
* use cudnn_version.h to detect version when it is available
* remove nppi from CUDA11
* use ocv_list_filterout
* dnn(cuda): temporary disable CUDNN 8.0
* Clean: make the use of the indices array length consistent
Either we don't want this method to be used in the future for any other node
than the root node, and so we replace indices_length by size_ and remove it as
argument, or we want to be able to use it potentially for other nodes, and
so using size_ instead of indices_length would have lead to a bug.
* Fix: b was not an address
* Fix: transpose the Flann repo commit "Fixes in accum_dist methods" from Adil Ibragimov
Avoids trying to compute log(ratio) with ratio = 0
* Fix: transpose the Flann repo commit "result_set bugfix" from Jack Rae
* Fix Jack Rae commit as the initial i - 1 index was decremented before entering the loop body
* Clean: transpose the Flann repo commit "Updated comments in lsh_index" from Richard McPherson
* Fix: Transpose the Flann repo commit "Fixing unreachable code in lsh_table.h" from hypevr
* Fix warning the same way it was done in flann standalone repo
* Change the return value in case of unsupported type
G-API Serialization routines
* Serialization backend in tests, initial version
* S11N/00: A Great Rename
- "Serialization" is too long and too error-prone to type,
so now it is renamed to "s11n" everywhere;
- Same applies to "SRLZ";
- Tests also renamed to start with 'S11N.*' (easier to run);
- Also updated copyright years in new files to 2020.
* S11N/01: Some basic interface segregation
- Moved some details (low-level functions) out of serialization.hpp;
- Introduced I::IStream and I::OStream interfaces;
- Implemented those via the existing [De]SerializationStream classes;
- Moved all operators to use interfaces instead of classes;
- Moved the htonl/ntohl handling out of operators (to the classes).
The implementation didn't change much, it is a subject to the further
refactoring
* S11N/02: Basic operator reorg, basic tests, vector support
- Reorganized operators on atomic types to follow >>/<< model
(put them closer in the code for the respective types);
- Introduce more operators for basic (scalar) types;
- Drop all vector s11n overloads -- replace with a generic
(template-based) one;
- Introduced a new test suite where low-level s11n functionality
is tested (for the basic types).
* S11N/03: Operators reorganization
- Sorted the Opaque types enum by complexity;
- Reorganized the existing operators for basic types, also ordered by
complexity;
- Organized operators in three groups (Basics, OpenCV, G-API);
- Added a generic serialization for variant<>;
- Reimplemented some of the existing operators (for OpenCV and G-API
data structures);
- Introduced new operators for cv::gimpl data types. These operators
(and so, the data structures) are not yet used in the graph
dump/reconstruction routine, it will be done as a next step.
* S11N/04: The Great Clean-up
- Drop the duplicates of GModel data structures from the
serialization, serialize the GModel data structures themselve
instead (hand-written code replaced with operators).
- Also removed usuned code for printing, etc.
* S11N/05: Internal API Clean-up
- Minimize the serialization API to just Streams and Operators;
- Refactor and fix the graph serialization (deconstruction and
reconstruction) routines, fix data addressing problems there;
- Move the serialization.[ch]pp files to the core G-API library
* S11N/06: Top-level API introduction
- !!!This is likely the most invasive commit in the series!!!
- Introduced a top-level API to serialize and deserialize a GComputation
- Extended the compiler to support both forms of a GComputation:
an expession based and a deserialized one. This has led to changes in
the cv::GComputation::Priv and in its dependent components (even the
transformation tests);
- Had to extend the kernel API (GKernel) with extra information on
operations (mainly `outMeta`) which was only available for expression
based graphs. Now the `outMeta` can be taken from kernels too (and for
the deserialized graphs it is the only way);
- Revisited the internal serialization API, had to expose previously
hidden entities (like `GSerialized`);
- Extended the serialized graph info with new details (object counter,
protocol). Added unordered_map generic serialization for that;
- Reworked the very first pipeline test to be "proper"; GREEN now, the rest
is to be reworked in the next iteration.
* S11N/07: Tests reworked
- Moved the sample pipeline tests w/serialization to
test the public API (`cv::gapi::serialize`, then
followed by `cv::gapi::deserialize<>`). All GREEN.
- As a consequence, dropped the "Serialization" test
backend as no longer necessary.
* S11N/08: Final touches
- Exposed the C++ native data types at Streams level;
- Switched the ByteMemoryIn/OutStreams to store data in `char`
internally (2x less memory for sample pipelines);
- Fixed and refactored Mat dumping to the stream;
- Renamed S11N pipeline tests to their new meaning.
* linux build fix
* fix RcDesc and int uint warnings
* more Linux build fix
* white space and virtual android error fix (attempt)
* more warnings to be fixed
* android warnings fix attempt
* one more attempt for android build fix
* android warnings one more fix
* return back override
* avoid size_t
* static deserialize
* and how do you like this, elon? anonymous namespace to fix android warning.
* static inline
* trying to fix standalone build
* mat dims fix
* fix mat r/w for standalone
Co-authored-by: Dmitry Matveev <dmitry.matveev@intel.com>
Instead of using the current dimension for which we just got a big span,
we were computing Min and Max for the previous dimension stored in cutfeat
(and using 0 instead of the dimension indice for the very first dimension
with "span > (1-eps)max_span")
cuda4dnn: reduce CUDA version requirements to at least CUDA 9.2
* remove half2 specializations
* do not remove atomicAdd for half in CUDA 10 and below
* remove fp16.hpp
* Add documentation about usage of cv2eigen functions in eigen.hpp
* Fixed Doxygen syntax.
Co-authored-by: Alexander Smorkalov <smorkalov.a.m@gmail.com>
Objc binding
* Initial work on Objective-C wrapper
* Objective-C generator script; update manually generated wrappers
* Add Mat tests
* Core Tests
* Imgproc wrapper generation and tests
* Fixes for Imgcodecs wrapper
* Miscellaneous fixes. Swift build support
* Objective-C wrapper build/install
* Add Swift wrappers for videoio/objdetect/feature2d
* Framework build;iOS support
* Fix toArray functions;Use enum types whenever possible
* Use enum types where possible;prepare test build
* Update test
* Add test runner scripts for iOS and macOS
* Add test scripts and samples
* Build fixes
* Fix build (cmake 3.17.x compatibility)
* Fix warnings
* Fix enum name conflicting handling
* Add support for document generation with Jazzy
* Swift/Native fast accessor functions
* Add Objective-C wrapper for calib3d, dnn, ml, photo and video modules
* Remove IntOut/FloatOut/DoubleOut classes
* Fix iOS default test platform value
* Fix samples
* Revert default framework name to opencv2
* Add converter util functions
* Fix failing test
* Fix whitespace
* Add handling for deprecated methods;fix warnings;define __OPENCV_BUILD
* Suppress cmake warnings
* Reduce severity of "jazzy not found" log message
* Fix incorrect #include of compatibility header in ios.h
* Use explicit returns in subscript/get implementation
* Reduce minimum required cmake version to 3.15 for Objective-C/Swift binding
* improved fitEllipse and fitEllipseDirect accuracy in singular or close-to-singular cases (see issue #9923)
* scale points using double precision
* added normalization to fitEllipseAMS as well; fixed Java test case by raising the tolerance (it's unclear what is the correct result in this case).
* improved point perturbation a bit. make the code a little bit more clear
* trying to fix Java fitEllipseTest by slightly raising the tolerance threshold
* synchronized C++ version of Java's fitEllipse test
* removed trailing whitespaces
* fixed#17044
1. fixed Python part of the tutorial about using OpenCV XML-YAML-JSON I/O functionality from C++ and Python.
2. added startWriteStruct() and endWriteStruct() methods to FileStorage
3. modifed FileStorage::write() methods to make them work well inside sequences, not only mappings.
* try to fix the doc builder
* added Python regression test for FileStorage I/O API ([TODO] iterating through long sequences can be very slow)
* fixed yaml testing
Fix Test Case: in latest version, window.cv is a promise instance that makes most test case failed.
* Fix Browser Test Case: In latest version, window.cv is a promise instance
In latest version of opencv.js, window.cv is promise instance.
So that most of the test cases is run failed.
This commit is to fix browser test case.
* Add comment for backward compatible
Add comments for backward compatible
* Fix integer overflow in parseOption().
Previous code does not work for values like 100000MB.
* Fix warning during 32-bit build on inactive code path.
* fix build without C++11
* fix bug for CHECK issue
* remove chack for bpp
* add test for tif file
* add test for tiff file
* change the test name
* use proper bpp value, use clear test names
* add eigen tensor conversion functions
* add eigen tensor conversion tests
* add support for column major order
* update eigen tensor tests
* fix coding style and add conditional compilation
* fix conditional compilation checks
* remove whitespace
* rearrange functions for easier reading
* reformat function documentation and add tensormap unit test
* cleanup documentation of unit test
* remove condition duplication
* check Eigen major version, not minor version
* restrict to Eigen v3.3.0+
* add documentation note and add type checking to cv2eigen_tensormap()
- reworked variant::operator(T&&) and varaint::variant(T&&) to be more
concise and signature accurate with C++17 specification
- restricted cv::detail::OpaqueRef::OpaqueRef(T&&) to not substitute
copy/move ctors
- moved common additions to C++11 version of std <type_traits> to
separte header
* imgproc: templmatch: Add support for mask for all methods
Add support for masked template matching. Fix/scrub old implementation
for masked matching, as it did partly not even really do a meaningful
masking, and only supported limited template matching methods.
Add documentation including formulas for masked matching.
* imgproc: test: Add tests for masked template matching
Test accuracy by comparing to naive implementation for one point.
Test compatibility/correctness by comparing results without mask and
with all ones mask.
All tests are done for all methods, all supported depths, and for 1 and
3 channels.
* imgproc: test: templmatch: Add test for crossCorr
Add a test for the crossCorr function in templmatch.cpp. crossCorr() had
to be added to exported functions to be testable.
This test can maybe help to identify the problem with template matching
on MacOSX.
* fix: Fixed wrong evaluations of the MatExpr on Clang
* fix: removed crossCorr from public interface.
If it should be exported, it should be done as separate PR.
Co-authored-by: Vadim Levin <vadim.levin@xperience.ai>
* Fixed indexing in prefilter
* Initialised prefilter
* Initialised prefilter with value initialisation
* Added TC to trigger different Mem Allocs in BufferBM
* Optimize cases with only needed conditions
- moved "standalone" aliases of cv types to "opencv_includes.hpp" to
keep responsibility principle aplied
- introduced correct aliasing for "descr_of(Mat)" function for
standalone case
- added missing include in `gapi/own/mat.hpp`
cuda4dnn: optimizations for swish, mish, sigmoid, region, resize based ops, transpose, identity-conv fusion
* bunch of optimizations
* more accurate implementation for mish
* feature: Extend VideoWriter to accept vector of parameters
- Add additional constructor and `open` method for `VideoWriter`
those accept a vector of parameters
- Move actual implementation of the `VideoWriter::open` to general method
which accepts vector of parameters
- Propagate parsed parameters map up to actual video backend construction
* fix: Change VideoWriter constructor description to suppress doc warning
* refactor: Rollback newlines changes
* feature: Changed VideoWriter parameters workflow
* feature: Log unused parameters in VideoWriter open
* doc: Fix VideoWriter `isColor` parameter description
* fix: int to bool VC++ conversion warning
* doc: Remove information about `isColor` flag usage.
I believe you are using the wrong version of open() on line 28 - adding deviceID + appId together. It's better to use the new version of .open() taking two integers as parameter.
G-API: Laplacian and bilateralFilter standard kernels
* Added Laplacian kernel and tests
* Added: Laplacian kernel, Bilateral kernel (CPU, GPU); Performance and accuracy tests for this kernels
* Changed tolerance for GPU test
* boner
* Some changes with alignment; Tests's parameters are the same as for OCV
* Cut tests
* Compressed tests
* Minor changes (rsrt bb)
* Returned types
- kernel added to a cv::gapi::video namespace
- tests to check a kernels (based on cv::video tests for cv::buildOpticalFlowPyramid())
- tests for a combined G-API-pipeline (buildOpticalFlowPyramid() -> calcOpticalFlowPyrLK())
- tests for internal purposes added
- custom function for comparison in tests implemented
- It is safe to remove `explicit` keyword for constructors with 1
argument, because it is C++ specific keyword and does not affect any of
the generated binding.
* LineVirtualIterator
Proposal of LineVirtualIterator, an alternative to "LineIterator not attached to any mat".
This is basically the same implementation, replacing the address difference by a single "offset" variable. elemsize becomes irrelevant and considered to be 1. "step" is thus equal to size.width since no stride is expected.
* Update drawing.cpp
fixed warning
* improvement of LineVirtualIterator
instead of being too conservative, the new implementation gets rid of "offset/step" and only keeps a "Point currentPos" up to date.
left_to_right is renamed to forceLeftToRight as suggested (even for the old LineIterator)
assert() replaced by CV_Assert() (even for the old LineIterator)
* fixed implementation
+fixed last commit so that LineVirtualIterator gives at least the same results as LineIterator
+added a new constructor that does not require any Size, so that no clipping is done and iteration occurs from pt1 to pt2. This is done by adding a spatial offset to pt1 and pt2 so that the same implementation is used, the size being in that case the spatial size between pt1 and pt2
* Update imgproc.hpp
fixed warnings
* Update drawing.cpp
fixed whitespace
* Update drawing.cpp
trailing whitespace
* Update imgproc.hpp
+added a new constructor that takes a Rect rather than a Size. It computes the line pt1->pt2 that clips that rect.
Yet again, this is still based on the same implementation, thanks to the Size and the currentPosOffset that can artifically consider the origin of the rect at (0,0)
* revert changes
revert changes on original LineIterator implementation, that will be superseded by the new LineVirtualIterator anyway
* added test of LineVirtualIterator
* More tests
* refactoring
Use C++11 chained constructors
Improved code style
* improve test
Added offset as random test data.
* fixed order of initialization
* merged LineIterator and VirtualLineIterator
* merged LineIterator & VirtualLineIterator
* merged LineIterator & VirtualLineIterator
* merged LineIterator & VirtualLineIterator
* made LineIterator::operator ++() more efficient
added one perfectly predictable check; in theory, since ptmode is set in the end of the constructor in the header file, the compiler can figure out that it's always true/false and eliminate the check from the inline `LineIterator::operator++()` completely
* optimized Line() function
in the most common case (CV_8UC3) eliminated the check from the loop
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
- opencv_gapi module is linked with opencv_video module (optional dependency)
- kernels added to a new cv::gapi::video namespace and a brand new files created to provide gapi_video environment
- there are 2 different kernels as G-API should provide GMat AND GArray<GMat> implementation: cv::calcOptFlowPyrLK doesn't calculate pyramids if vector<Mat> is given so just the cast GMat -> GArray<GMat> wouldn't represent all the cv:: functionality
- tests to check both kernels (based on cv::video tests for cv::calcOpticalFlowPyrLK())
- tests for internal purposes added
- vectors<T> comparison in tests implemented
- new (and old too) common test structures refactored to avoid code copypasting
- "modules/gapi/test/common/gapi_video_tests_common.hpp" created to share some code snippets between perf and acc tests and avoid code copypasting
added estimateTranslation3D to calib3d/ptsetreg
* added estimateTranslation3D; follows API and implementation structure for estimateAffine3D, but only allows for translation
* void variables in null function to suppress compiler warnings
* added test for estimateTranslation3D
* changed to Matx13d datatype for translation vector in ptsetreg and test; used short license in test
* removed iostream include
* calib3d: code cleanup
- cv::gapi::goodFeaturesToTrack() kernel is implemented
- tests (for exact check with cv::goodFeaturesToTrack() and for internal cases) are implemented
- a custom comparison function for vectors and a custom test fixture implemented
- some posiible issues as wrong/inexact sorting of two compared vectors are
not taken into account
- initializations of an input Mat using a picture from opencv_extra implemented (function from gapi_streaming_test used)
G-API: Unification of own:: Scalar with cv:: Scalar
* cvdefs.hpp
* Small changes
* Deowned Scalar. Does't work
* Something
* Removed to_ocv for Scalar
* Clear code
* Deleted whitespaces
* Added include<..own/scalar.hpp in cvdefs.hpp.
* Long string split on two now
* Comment about scalar
* Comment about crutch
* Removed second varible in scalar_wrapper
* Changed wrapper for scalar, alignment
* Alignment
* Whitespaces
* Removed scalar_wrapper
Jpeg2000 OpenJPEG port
* OpenJPEG based JPEG2000 decoder implementation
Currently, the following input color spaces and depth conversions are
supported:
- 8 bit -> 8 bit
- 16 bit -> 16 bit (IMREAD_UNCHANGED, IMREAD_ANYDEPTH)
- RGB(a) -> BGR
- RGBA -> BGRA (IMREAD_UNCHANGED)
- Y(a) -> Y(a) (IMREAD_ANYCOLOR, IMREAD_GRAY, IMREAD_UNCHANGED))
- YCC -> Y (IMREAD_GRAY)
* Check for OpenJPEG availability
This enables OpenJPEG based JPEG2000 imread support by default, which
can be disabled by -DWITH_OPENJPEG=OFF. In case OpenJPEG is enabled
and found, any checks for Jasper are skipped.
* Implement precision downscaling for precision > 8 without IMREAD_UNCHANGED
With IMREAD_UNCHANGED, values are kept from the input image, without it
components are downscaled to CV_8U range.
* Enable Jpeg2K tests when OpenJPEG is available
* Add support for some more color conversions
Support IMREAD_GRAY when input color space is RGB or unspecified.
Support YUV input color space for BGR output.
* fix: problems with unmanaged memory
* fix: CMake warning - HAVE_OPENJPEG is undefined
Removed trailing whitespaces
* fix: CMake find_package OpenJPEG add minimal version
* Basic JPEG2K encoder
Images with depth CV_8U and CV_16U are supported, with 1 to 4 channels.
* feature: Improved code for OpenJPEG2000 encoder/decoder
- Removed code duplication
- Added error handlers
- Extracted functions
* feature: Update conversion openjpeg array from/to Mat
* feature: Extend ChannelsIterator to fulfill RandomAccessIterator named requirements
- Removed channels split in copyFromMatImpl. With ChannelsIterator no allocations are performed.
- Split whole loop into 2 parts in copyToMat -> where std::copy and std::transforms are called.
* fix: Applied review comments.
- Changed `nullptr` in CV_LOG* functions to `NULL`
- Added `falls through` comment in decoder color space `switch`
- Added warning about unsupported parameters for the encoder
* feature: Added decode from in-memory buffers.
Co-authored-by: Vadim Levin <vadim.levin@xperience.ai>
