[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
[G-API]: Add Fluid bitwise operations implementation for (GMat, GScalar)
* Added Fluid `bitwise` with `Scalar` + acc.tests
- simple loop implementation for Fluid used (no `hal`);
- `Scalar` is casted to `int` in the beginning
- tests just modified to work with `Scalar`
- expected output in operators' tests fixed (operators can't change Mat's depth)
- `float` `Scalar` `RNG` added, `RNG` reworked (`time` is used now), initialization of test fixtures reworked
- if input or output is `float` Scalar is initialized by `float`
- some problems with Fluid/OCV floating-point comparison difference stashed by `AbsSimilarPoints()` usage, FIXME added
- divide-by-zero is now fixed differently and everywhere
* - Added perf_tests for bitwise_Scalar operations
- due to errors of Fluid floating-point comparison operations, added support of different validation in Cmp perf_tests; added FIXME
- reworked integral initialization of Scalar
* Addressing comments
- NULL -> nullptr
- Scalar convertion moved to the function
- avoid -> avoiding
* Addressing comments
* CV_assert -> GAPI_assert
* Addressed DM comments
- refactored convertScalarForBitwise()
- removed unnecessary braces for switch
* Changed the operators tests
- switch via `enum` implemented
- infrastructure for that refactored
[G-API]: Add four kernels to parse NN outputs & provide information in Streaming scenarios
* Kernels from GL "blue" branch, acc and perf tests
* Code cleanup
* Output fix
* Comment fix
* Added new file for parsers, stylistic corrections
* Added end line
* Namespace fix
* Code cleanup
* nnparsers.hpp moved to gapi/infer/, nnparsers -> parsers
* Removed cv:: from parsers.hpp
[G-API]: Add GArray initialization support
* Added GArray initialization (CONST_VALUE, GScalar analog) and test for this
* Whitespaces
* And one more space
* Trailing whitespace
* Test name changed. Build with magic commands.
* GArray works with rvalue initialization
* Code cleanup
* Ternary operator in the initialization list.
Fix loading of ONNX models with Resize operation with Opset 11 for newer versions of Pytorch
* Add reproducer for Resize operation from newer versions of Pytorch
* Fix loading of scales parameter for Resize layer
* Change check type for better diagnostic messages
Fix KD Tree kNN Implementation
* Make KDTree mode in kNN functional
remove docs and revert change
Make KDTree mode in kNN functional
spacing
Make KDTree mode in kNN functional
fix window compilations warnings
Make KDTree mode in kNN functional
fix window compilations warnings
Make KDTree mode in kNN functional
casting
Make KDTree mode in kNN functional
formatting
Make KDTree mode in kNN functional
* test coding style
[G-API]: Relocation of operators' overloads
* Relocates overloaded operators for `cv::GMat` and `cv::GScalar` to `cv::` namespace
- adds test to check usage of operators compilation
* Add tests for all the operators
* Address comments
Bit exact gaussian blur for 16bit unsigned int
* bit-exact gaussian kernel for CV_16U
* SIMD optimization
* template GaussianBlurFixedPoint
* remove template specialization
* simd support for h3N121 uint16
* test for u16 gaussian blur
* remove unnecessary comments
* fix return type of raw()
* add typedef of native internal type in fixedpoint
* update return type of raw()
Bit-exact Nearest Neighbor Resizing
* bit exact resizeNN
* change the value of method enum
* add bitexact-nn to ResizeExactTest
* test to compare with non-exact version
* add perf for bit-exact resizenn
* use cvFloor-equivalent
* 1/3 scaling is not stable for floating calculation
* stricter test
* bugfix: broken data in case of 6 or 12bytes elements
* bugfix: broken data in default pix_size
* stricter threshold
* use raw() for floor
* use double instead of int
* follow code reviews
* fewer cases in perf test
* center pixel convention
* Fix ONNX loading in issues opencv#17516, opencv#17531
* Add tests for Linear and Matmul layers
* Disable tests for IE versions lower than 20.4
* Skip unstable tests with OpenCL FP16 on Intel GPU
* Add correct test filtering for OpenCL FP16 tests
Remove obsolete FFMPEG versions support
* refactor: removed obsolete FFMPEG version support
- Oldest available version via official FFMPEG repository mirror has tag v.0.5
LIBAVFORMAT version for this tag is 52.31.0
* refactor: prefer std::min function to MIN macro
* refactor: use appropriate macro instead of manual version calculation
* refactor: remove macros for versions prior 0.5.15 release
* refactor: remove libavcodec macros for versions < 54.35.1 (default to Ubuntu 14.04)
* refactor: remove libavformat macro for versions < 54.20.4 (default ubuntu 14.04)
* refactor: remove libavutil macro for versions < 52.3.0 (default ubuntu 14.04)
* refactor: remove missed macros for libavcodec and libavformat
* refactor: remove unused _opencv_ffmpeg_free function
* build: add FFMPEG libraries versions checks
- Add verbose message about what FFMPEG libraries are missing.
- Add minimal versions check set to libav 9.20 release (default ubuntu 14.04) and FFMPEG 1.1.16 release.
If the check is failed CMake produces user-friendly message instead of build error.
* fix: libavcodec version guard for AVDISCARD_NONINTRA
* fix: libav check of libavcodec version guard for AVDISCARD_NONINTRA
* fix: version check for AV_CODEC_FLAG_GLOBAL_HEADER
* fix: missing FFMPEG libraries output
[G-API]: Fluid Core kernels performance tests
* Add performance tests for a list of Fluid Core kernels
* Update gapi_core_perf_tests_fluid.cpp
Addressing a comment
- OpenCL kernel cleanup processing is asynchronous and can be called even after forced clFinish()
- buffers are released later in asynchronous mode
- silence these false positive cases for asynchronous cleanup
reformatting
Improve initialization performance of Brisk
fix formatting
Improve initialization performance of Brisk
formatting
Improve initialization performance of Brisk
make a lookup table for ring
use cosine/sine lookup table for theta in brisk and utilize trig identity
fix ring lookup table
use cosine/sine lookup table for theta in brisk and utilize trig identity
formatting
use cosine/sine lookup table for theta in brisk and utilize trig identity
move scale radius product to ring loop to ensure it's not recomputed for each rot
revert change
move scale radius product to ring loop to ensure it's not recomputed for each rot
remove rings lookup table
move scale radius product to ring loop to ensure it's not recomputed for each rot
fix formatting of for loop
move scale radius product to ring loop to ensure it's not recomputed for each rot
use sine/cosine approximations for brisk lookup table.
add documentation for sine/cosine lookup tables
Improve initialization performance of BRISK
changed OpenCV license from BSD to Apache 2 license
* as discussed and announced earlier, changed OpenCV license from BSD to Apache 2. Many files still contain old-style copyrights though
* changed wording a bit; preserve the original OpenCV BSD license
* 8-bit SIFT descriptors
* use clearer parameter
* update docs
* propagate type info
* overload function for avoiding ABI-break
* bugfix: some values are undefined when CV_SIMD is absent
revise default proto to match the filename in documentations
fix a bug
beautify python codes
fix bug
beautify codes
add test samples with larger/smaller size
remove unless code
using bytearray without creating tmp file
remove useless codes
* 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
backport of commit 77b01deb80
add relu option
add relu as activation option in darknet
simplify the setParams if-else ladder
add relu as activation option in darknet
correct activation_param type
format
format
add relu as activation option in darknet
spacing
spacing
add relu as activation option in darknet
* Possibility to set more than one tree for the hierarchical KMeans (default is still 1 tree).
This particularly improves NN retrieval results with binary vectors, allowing better quality
compared to LSH for similar processing time when speed is the criterium.
* Add explanations on the FLANN's hierarchical KMeans for binary data.
* Fix trees parsing behavior in hierarchical_clustering_index:
Before, when maxCheck was reached in the first descent of a tree, time was still wasted parsing
the next trees till their best leaf, just to skip the points stored there.
Now we can choose either to keep this behavior, and so we skip parsing other trees after reaching
maxCheck, or we choose to do one descent in each tree, even if in one tree we reach maxCheck.
* Apply the same change to kdtree.
As each leaf contains only 1 point (unlike hierarchical_clustering), difference is visible if trees > maxCheck
* Add the new explore_all_trees parameters to miniflann
* Adapt the FlannBasedMatcher read_write test to the additional search parameter
* Adapt java tests to the additional parameter in SearchParams
* Fix the ABI dumps failure on SearchParams interface change
* Support of ctor calling another ctor of the class is only fully supported from C+11
DNN: OpenCL/slice update
* dnn(ocl/slice): make slice kernel VTune friendly
- more unique names
- inline code of copy functions
* dnn(ocl/slice): prefer to spawn more work groups
- even in case with 1D copy
- perf improvement up to 2x of kernel time (due to changed configuration 128x1x1 => 128x32x1)
* dnn(ocl/slice): cache kernel exec info
* Implement ASIFT in C++
* '>>' should be '> >' within a nested template
* add a sample for asift usage
* bugfix empty keypoints cause crash
* simpler initialization for mask
* suppress the number of lines
* correct tex document
* type casting
* add descriptorsize for asift
* smaller testdata for asift
* more smaller test data
* add OpenCV short license header
- Added cross compile cmake file for target riscv64-clang
- Extended cmake for RISC-V and added instruction checks
- Created intrin_rvv.hpp with C++ version universal intrinsics
* 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