Add DNN-based face detection and face recognition into modules/objdetect
* Add DNN-based face detector impl and interface
* Add a sample for DNN-based face detector
* add recog
* add notes
* move samples from samples/cpp to samples/dnn
* add documentation for dnn_face
* add set/get methods for input size, nms & score threshold and topk
* remove the DNN prefix from the face detector and face recognizer
* remove default values in the constructor of impl
* regenerate priors after setting input size
* two filenames for readnet
* Update face.hpp
* Update face_recognize.cpp
* Update face_match.cpp
* Update face.hpp
* Update face_recognize.cpp
* Update face_match.cpp
* Update face_recognize.cpp
* Update dnn_face.markdown
* Update dnn_face.markdown
* Update face.hpp
* Update dnn_face.markdown
* add regression test for face detection
* remove underscore prefix; fix warnings
* add reference & acknowledgement for face detection
* Update dnn_face.markdown
* Update dnn_face.markdown
* Update ts.hpp
* Update test_face.cpp
* Update face_match.cpp
* fix a compile error for python interface; add python examples for face detection and recognition
* Major changes for Vadim's comments:
* Replace class name FaceDetector with FaceDetectorYN in related failes
* Declare local mat before loop in modules/objdetect/src/face_detect.cpp
* Make input image and save flag optional in samples/dnn/face_detect(.cpp, .py)
* Add camera support in samples/dnn/face_detect(.cpp, .py)
* correct file paths for regression test
* fix convertion warnings; remove extra spaces
* update face_recog
* Update dnn_face.markdown
* Fix warnings and errors for the default CI reports:
* Remove trailing white spaces and extra new lines.
* Fix convertion warnings for windows and iOS.
* Add braces around initialization of subobjects.
* Fix warnings and errors for the default CI systems:
* Add prefix 'FR_' for each value name in enum DisType to solve the
redefinition error for iOS compilation; Modify other code accordingly
* Add bookmark '#tutorial_dnn_face' to solve warnings from doxygen
* Correct documentations to solve warnings from doxygen
* update FaceRecognizerSF
* Fix the error for CI to find ONNX models correctly
* add suffix f to float assignments
* add backend & target options for initializing face recognizer
* add checkeq for checking input size and preset size
* update test and threshold
* changes in response to alalek's comments:
* fix typos in samples/dnn/face_match.py
* import numpy before importing cv2
* add documentation to .setInputSize()
* remove extra include in face_recognize.cpp
* fix some bugs
* Update dnn_face.markdown
* update thresholds; remove useless code
* add time suffix to YuNet filename in test
* objdetect: update test code
* Fix gst error handling
* Use the return value instead of the error, which gives no guarantee of being NULL in case of error
* Test err pointer before accessing it
* Remove unreachable code
* videoio(gstreamer): restore check in writer code
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Fix ORB integer overflow
* set size_t step to fix integer overflow in ptr0 offset
* added issue_537 test
* minor fix tags, points
* added size_t_step and offset to remove mixed unsigned and signed operations
* features2d: update ORB checks
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
* dnn: fix unaligned memory access crash on armv7
The getTensorContent function would return a Mat pointing to some
member of a Protobuf-encoded message. Protobuf does not make any
alignment guarantees, which results in a crash on armv7 when loading
models while bit 2 is set in /proc/cpu/alignment (or the relevant
kernel feature for alignment compatibility is disabled). Any read
attempt from the previously unaligned data member would send SIGBUS.
As workaround, this commit makes an aligned copy via existing clone
functionality in getTensorContent. The unsafe copy=false option is
removed. Unfortunately, a rather crude hack in PReLUSubgraph in fact
writes(!) to the Protobuf message. We limit ourselves to fixing the
alignment issues in this commit, and add getTensorContentRefUnaligned
to cover the write case with a safe memcpy. A FIXME marks the issue.
* dnn: reduce amount of .clone() calls
* dnn: update FIXME comment
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Make the implementation of optimization in DNN adjustable to different vector sizes with RVV intrinsics.
* Update fastGEMM for multi VLEN.
* Update fastGEMM1T for multi VLEN.
* Update fastDepthwiseConv for multi VLEN.
* Update fastConv for multi VLEN.
* Replace malloc with cv::AutoBuffer.
dnn : int8 quantized layers support in onnx importer
* added quantized layers support in onnx importer
* added more cases in eltwise node, some more checks
* added tests for quantized nodes
* relax thresholds for failed tests, address review comments
* refactoring based on review comments
* added support for unsupported cases and pre-quantized resnet50 test
* relax thresholds due to int8 resize layer
* Prefix global javascript functions with sub-namespaces
* js: handle 'namespace_prefix_override', update filtering
- avoid functions override with same name but different namespace
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Add ExpandDims layer of tf_importer.cpp
* Add ExpandDims to tf_importer.
* add -1 expand test case.
* Support different dimensions of input.
* Compatible with 5-dimensional NDHWC data
* Code align
* support 3-dim input.
* 3-dim bug fixed.
* fixing error of code format.
* Add RowVec_8u32f
* Fix build errors in Linux x64 Debug and armeabi-v7a
* Reformat code to make it more clean and conventional
* Optimise with vx_load_expand_q()
Recover pose from different cameras (version 2)
* add recoverPose for two different cameras
* Address review comments from original PR
* Address new review comments
* Rename private api
Co-authored-by: tompollok <tom.pollok@gmail.com>
Co-authored-by: Zane <zane.huang@mail.utoronto.ca>
This submission is used to improve the performance of the inpaint algorithm for 3 channels images(RGB or BGR).
Reason:
The original algorithm implementation did not consider the cache hits.
The loop of channels is outside the core loop, so the perfmance is not very good.
Moving the channel loop inside the core loop can significantly improve cache hits, thereby improving performance.
Performance:
360P, about >= 30% improvement
iphone8P: 5.52ms -> 3.75ms
iphone6s: 14.04ms -> 9.15ms
G-API: Handle reshape for generic case in GExecutor
* Handle reshape for generic case for GExecutor
* Add initResources
* Add tests
* Refactor reshape method
different paddings in cvtColorTwoPlane() for biplane YUV420
* Different paddings support in cvtColorTwoPlane() for biplane YUV420
* Build fix for dispatch case.
* Resoted old behaviour for y.step==uv.step to exclude perf regressions.
Co-authored-by: amir.tulegenov <amir.tulegenov@xperience.ai>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
* feat: OpenCV extension with pure Python modules
* feat: cv2 is now a Python package instead of extension module
Python package cv2 now can handle both Python and C extension modules
properly without additional "subfolders" like "_extra_py_code".
* feat: can call native function from its reimplementation in Python
Add support for YOLOv4x-mish
* backport to 3.4 for supporting yolov4x-mish
* add YOLOv4x-mish test
* address review comments
Co-authored-by: Guo Xu <guoxu@1school.com.cn>
Add CAP_PROP_STREAM_OPEN_TIME
* Added CAP_PROP_STREAM_OPEN_TIME to videoio module - can be used to query the time at which the stream was opened, in seconds since Jan 1 1970 (midnight, UTC). Useful for RTSP and other live video where absolute timestamps are needed. Only applicable to ffmpeg backends
* use nanoseconds instead of seconds to mark the stream open time, and change the cap prop name to CAP_PROP_STREAM_OPEN_TIME_NSEC
* use microseconds for CAP_PROP_STREAM_OPEN_TIME (nanoseconds rolls over too soon, and milliseconds/seconds requires a division)
* fix whitespace issue
Add Normalize subgraph, fix Slice, Mul and Expand
* Add Normalize subgraph, support for starts<0 and axis<0 in Slice, Mul broadcasting in the middle and fix Expand's unsqueeze
* remove todos
* remove range-based for loop
* address review comments
* change >> to > > in template
* fix indexation
* fix expand that does nothing
* support PPSeg model for dnn module
* fixed README for CI
* add test case
* fixed bug
* deal with comments
* rm dnn_model_runner
* update test case
* fixed bug for testcase
* update testcase
`PyObject*` to `std::vector<T>` conversion logic:
- If user passed Numpy Array
- If array is planar and T is a primitive type (doesn't require
constructor call) that matches with the element type of array, then
copy element one by one with the respect of the step between array
elements. If compiler is lucky (or brave enough) copy loop can be
vectorized.
For classes that require constructor calls this path is not
possible, because we can't begin an object lifetime without hacks.
- Otherwise fall-back to general case
- Otherwise - execute the general case:
If PyObject* corresponds to Sequence protocol - iterate over the
sequence elements and invoke the appropriate `pyopencv_to` function.
`std::vector<T>` to `PyObject*` conversion logic:
- If `std::vector<T>` is empty - return empty tuple.
- If `T` has a corresponding `Mat` `DataType` than return
Numpy array instance of the matching `dtype` e.g.
`std::vector<cv::Rect>` is returned as `np.ndarray` of shape `Nx4` and
`dtype=int`.
This branch helps to optimize further evaluations in user code.
- Otherwise - execute the general case:
Construct a tuple of length N = `std::vector::size` and insert
elements one by one.
Unnecessary functions were removed and code was rearranged to allow
compiler select the appropriate conversion function specialization.
[G-API] Extend compileStreaming to support different overloads
* Make different overloads
* Order python compileStreaming overloads
* Fix compileStreaming bug
* Replace
gin -> descr_of
* Set error message
* Fix review comments
* Use macros for pyopencv_to GMetaArgs
* Use GAPI_PROP_RW
* Not split Prims python stuff
* Added exposure and gain props, maximized pixel clk
* removed pixel clock maximization
pixel clock maximization is not suitable for all use cases, so I removed it from PR.
Moving RGBD parts to 3d
* files moved from rgbd module in contrib repo
* header paths fixed
* perf file added
* lapack compilation fixed
* Rodrigues fixed in tests
* rgbd namespace removed
* headers fixed
* initial: rgbd files moved to 3d module
* rgbd updated from latest contrib master; less file duplication
* "std::" for sin(), cos(), etc.
* KinFu family -> back to contrib
* paths & namespaces
* removed duplicates, file version updated
* namespace kinfu removed from 3d module
* forgot to move test_colored_kinfu.cpp to contrib
* tests fixed: Params removed
* kinfu namespace removed
* it works without objc bindings
* include headers fixed
* tests: data paths fixed
* headers moved to/from public API
* Intr -> Matx33f in public API
* from kinfu_frame.hpp to utils.hpp
* submap: Intr -> Matx33f, HashTSDFVolume -> Volume; no extra headers
* no RgbdFrame class, no Mat fields & arg -> InputArray & pImpl
* get/setPyramidAt() instead of lots of methods
* Mat -> InputArray, TMat
* prepareFrameCache: refactored
* FastICPOdometry: +truncate threshold, +depthFactor; Mat/UMat choose
* Mat/UMat choose
* minor stuff related to headers
* (un)signed int warnings; compilation minor issues
* minors: submap: pyramids -> OdometryFrame; tests fix; FastICP minor; CV_EXPORTS_W for kinfu_frame.hpp
* FastICPOdometry: caching, rgbCameraMatrix
* OdometryFrame: pyramid%s% -> pyramids[]
* drop: rgbCameraMatrix from FastICP, RGB cache mode, makeColoredFrameFrom depth and all color-functions it calls
* makeFrameFromDepth, buildPyramidPointsNormals -> from public to internal utils.hpp
* minors
* FastICPOdometry: caching updated, init fields
* OdometryFrameImpl<UMat> fixed
* matrix building fixed; minors
* returning linemode back to contrib
* params.pose is Mat now
* precomp headers reorganized
* minor fixes, header paths, extra header removed
* minors: intrinsics -> utils.hpp; whitespaces; empty namespace; warning fixed
* moving declarations from/to headers
* internal headers reorganized (once again)
* fix include
* extra var fix
* fix include, fix (un)singed warning
* calibration.cpp: reverting back
* headers fix
* workaround to fix bindings
* temporary removed wrappers
* VolumeType -> VolumeParams
* (temporarily) removing wrappers for Volume and VolumeParams
* pyopencv_linemod -> contrib
* try to fix test_rgbd.py
* headers fixed
* fixing wrappers for rgbd
* fixing docs
* fixing rgbdPlane
* RgbdNormals wrapped
* wrap Volume and VolumeParams, VolumeType from enum to int
* DepthCleaner wrapped
* header folder "rgbd" -> "3d"
* fixing header path
* VolumeParams referenced by Ptr to support Python wrappers
* render...() fixed
* Ptr<VolumeParams> fixed
* makeVolume(... resolution -> [X, Y, Z])
* fixing static declaration
* try to fix ios objc bindings
* OdometryFrame::release...() removed
* fix for Odometry algos not supporting UMats: prepareFrameCache<>()
* preparePyramidMask(): fix to compile with TMat = UMat
* fixing debug guards
* removing references back; adding makeOdometryFrame() instead
* fixing OpenCL ICP hanging (some threads exit before reaching the barrier -> the rest threads hang)
* try to fix objc wrapper warnings; rerun builders
* VolumeType -> VolumeKind
* try to fix OCL bug
* prints removed
* indentation fixed
* headers fixed
* license fix
* WillowGarage licence notion removed, since it's in OpenCV's COPYRIGHT already
* KinFu license notion shortened
* debugging code removed
* include guards fixed
* KinFu license left in contrib module
* isValidDepth() moved to private header
* indentation fix
* indentation fix in src files
* RgbdNormals rewritten to pImpl
* minor
* DepthCleaner removed due to low code quality, no depthScale provided, no depth images found to be successfully filtered; can be replaced by bilateral filtering
* minors, indentation
* no "private" in public headers
* depthTo3d test moved from separate file
* Normals: setDepth() is useless, removing it
* RgbdPlane => findPlanes()
* rescaleDepth(): minor
* warpFrame: minor
* minor TODO
* all Odometries (except base abstract class) rewritten to pImpl
* FastICPOdometry now supports maxRotation and maxTranslation
* minor
* Odometry's children: now checks are done in setters
* get rid of protected members in Odometry class
* get/set cameraMatrix, transformType, maxRot/Trans, iters, minGradients -> OdometryImpl
* cameraMatrix: from double to float
* matrix exponentiation: Eigen -> dual quaternions
* Odometry evaluation fixed to reuse existing code
* "small" macro fixed by undef
* pixNorm is calculated on CPU only now (and then uploads on GPU)
* test registration: no cvtest classes
* test RgbdNormals and findPlanes(): no cvtest classes
* test_rgbd.py: minor fix
* tests for Odometry: no cvtest classes; UMat tests; logging fixed
* more CV_OVERRIDE to overriden functions
* fixing nondependent names to dependent
* more to prev commit
* forgotten fixes: overriden functions, (non)dependent names
* FastICPOdometry: fix UMat support when OpenCL is off
* try to fix compilation: missing namespaces
* Odometry: static const-mimicking functions to internal constants
* forgotten change to prev commit
* more forgotten fixes
* do not expose "submap.hpp" by default
* in-class enums: give names, CamelCase, int=>enums; minors
* namespaces, underscores, String
* std::map is used by pose graph, adding it
* compute()'s signature fixed, computeImpl()'s too
* RgbdNormals: Mat -> InputArray
* depth.hpp: Mat -> InputArray
* cameraMatrix: Matx33f -> InputArray + default value + checks
* "details" headers are not visible by default
* TSDF tests: rearranging checks
* cameraMatrix: no (realistic) default value
* renderPointsNormals*(): no wrappers for them
* debug: assert on empty frame in TSDF tests
* debugging code for TSDF GPU
* debug from integrate to raycast
* no (non-zero) default camera matrix anymore
* drop debugging code (does not help)
* try to fix TSDF GPU: constant -> global const ptr
* videoio/gstreamer: Add support for GRAY16_LE.
* videoio/gstreamer: added BGRA/BGRx support
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
* VideoCapture timeout set/get
* Common formatting for enum values
* Fix enum values wrongly in videoio.hpp
* Define timeout enum values in public api and align with master
docs(core/ocl): clarify ownership of arguments passed into OpenCL related functions
* docs(core/ocl): clarify ownership in OpenCLExecutionContext::create
Although it is technically true that OpenCLExecutionContext::create
calls `clRetainContext` on its context argument, it is misleading
because it does not increase the reference count overall. Clarify that
the ownership of one reference of the passed context and device is
taken.
* docs(core/ocl): document ownership transfer in ocl::Device::fromHandle
Optimization of DNN using native RISC-V vector intrinsics.
* Use RVV to optimize fastGEMM (FP32) in DNN.
* Use RVV to optimize fastGEMM1T in DNN.
* Use RVV to optimize fastConv in DNN.
* Use RVV to optimize fastDepthwiseConv in DNN.
* Vectorize tails using vl.
* Use "vl" instead of scalar to handle small block in fastConv.
* Fix memory access out of bound in "fastGEMM1T".
* Remove setvl.
* Remove useless initialization.
* Use loop unrolling to handle tail part instead of switch.
[G-API] Support postprocessing for not argmaxed outputs
* Support postprocessing for not argmaxed outputs
* Fix typo
* Add assert
* Remove static cast
* CamelCast to snake_case
* Fix windows warning
* Add static_cast to uint8_t
* Add const to variables
Add Python's test for LSTM layer
* Add Python's test for LSTM layer
* Set different test threshold for FP16 target
* rename test to test_input_3d
Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
Support non-zero hidden state for LSTM
* fully support non-zero hidden state for LSTM
* check dims of hidden state for LSTM
* fix failed test Test_Model.TextRecognition
* add new tests for LSTM w/ non-zero hidden params
Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
bug fixes for universal intrinsics of RISC-V back-end
* Align universal intrinsic comparator behaviour with other platforms
Set all bits to one for return value of int and fp comparators.
* fix v_pack_triplets, v_pack_store and v_pack_u_store
* Remove redundant CV_DECL_ALIGNED statements
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
AArch64 semihosting
* [ts] Disable filesystem support in the TS module.
Because of this change, all the tests loading data will file, but tat
least the core module can be tested with the following line:
opencv_test_core --gtest_filter=-"*Core_InputOutput*:*Core_globbing.accuracy*"
* [aarch64] Build OpenCV for AArch64 semihosting.
This patch provide a toolchain file that allows to build the library
for semihosting applications [1]. Minimal changes have been applied to
the code to be able to compile with a baremetal toolchain.
[1] https://developer.arm.com/documentation/100863/latest
The option `CV_SEMIHOSTING` is used to guard the bits in the code that
are specific to the target.
To build the code:
cmake ../opencv/ \
-DCMAKE_TOOLCHAIN_FILE=../opencv/platforms/semihosting/aarch64-semihosting.toolchain.cmake \
-DSEMIHOSTING_TOOLCHAIN_PATH=/path/to/baremetal-toolchain/bin/ \
-DBUILD_EXAMPLES=ON -GNinja
A barematel toolchain for targeting aarch64 semihosting can be found
at [2], under `aarch64-none-elf`.
[2] https://developer.arm.com/tools-and-software/open-source-software/developer-tools/gnu-toolchain/gnu-a/downloads
The folder `samples/semihosting` provides two example semihosting
applications.
The two binaries can be executed on the host platform with:
qemu-aarch64 ./bin/example_semihosting_histogram
qemu-aarch64 ./bin/example_semihosting_norm
Similarly, the test and perf executables of the modules can be run
with:
qemu-aarch64 ./bin/opecv_[test|perf]_<module>
Notice that filesystem support is disabled by the toolchain file,
hence some of the test that depend on filesystem support will fail.
* [semihosting] Remove blank like at the end of file. [NFC]
The spurious blankline was reported by
https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31158.
* [semihosting] Make the raw pixel file generation OS independent.
Use the facilities provided by Cmake to generate the header file
instead of a shell script, so that the build doesn't fail on systems
that do not have a unix shell.
* [semihosting] Rename variable for semihosting compilation.
* [semihosting] Move the cmake configuration to a variable file.
* [semihosting] Make the guard macro private for the core module.
* [semihosting] Remove space. [NFC]
* [semihosting] Improve comment with information about semihosting. [NFC]
* [semihosting] Update license statement on top of sourvce file. [NFC]
* [semihosting] Replace BM_SUFFIX with SEMIHOSTING_SUFFIX. [NFC]
* [semihosting] Remove double space. [NFC]
* [semihosting] Add some text output to the sample applications.
* [semihosting] Remove duplicate entry in cmake configuration. [NFCI]
* [semihosting] Replace `long` with `int` in sample apps. [NFCI]
* [semihosting] Use `configure_file` to create the random pixels. [NFCI]
* [semihosting][bugfix] Fix name of cmakedefine variable.
* [semihosting][samples] Use CV_8UC1 for grayscale images. [NFCI]
* [semihosting] Add readme file.
* [semihosting] Remove blank like at the end of README. [NFC]
This fixes the failure at
https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31272.
Improves support for Unix non-Linux systems, including QNX
* Fixes#20395. Improves support for Unix non-Linux systems. Focus on QNX Neutrino.
Signed-off-by: promero <promero@mathworks.com>
* Update system.cpp
MTCNN 1st pnet simplification to ensure single graph input
* 1st pnet simplification to ensure single graph input
* address comment from Dmitry M regarding unused variable
* [build][option] Introduce `OPENCV_DISABLE_THREAD_SUPPORT` option.
The option forces the library to build without thread support.
* update handling of OPENCV_DISABLE_THREAD_SUPPORT
- reduce amount of #if conditions
* [to squash] cmake: apply mode vars in toolchains too
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
G-API: Wrap render functionality to python
* Wrap render Rect prim
* Add all primitives and tests
* Cover mosaic and image
* Handle error in pyopencv_to(Prim)
* Move Mosaic and Rect ctors wrappers to shadow file
* Use GAPI_PROP_RW
* Fix indent
* Support cl_image conversion for CL_HALF_FLOAT (float16)
* Support cl_image conversion for additional channel orders:
CL_A, CL_INTENSITY, CL_LUMINANCE, CL_RG, CL_RA
* Comment on why cl_image conversion is unsupported for CL_RGB
* Predict optimal vector width for float16
* ocl::kernelToStr: support float16
* ocl::Device::halfFPConfig: drop artificial requirement for OpenCL
version >= 1.2. Even OpenCL 1.0 supports the underlying config
property, CL_DEVICE_HALF_FP_CONFIG.
* dumpOpenCLInformation: provide info on OpenCL half-float support
and preferred half-float vector width
* randu: support default range [-1.0, 1.0] for float16
* TestBase::warmup: support float16
G-API: Support vaargs for cv.compile_args
* Support cv.compile_args to work with variadic number of inputs
* Disable python2.x G-API
* Move compile_args to gapi pkg
- Reduce branch density by collapsing compares.
- Fix windows build errors
- Use OpenCV universal intrinsics
- Use v_check_any and v_signmask as requested
Function is validated. Included an update to DISABLED_Calib3d_InitInverseRectificationMap.
Includes updates per input from @alalek and unit test regression # to reflect PR #
1) Document GFrame/MediaFrame (and also other G-API types)
- Added doxygen comments for GMat, GScalar, GArray<T>, GOpaque classes;
- Documented GFrame and its host-side counterpart MediaFrame;
- Added some more notes to the data type classes.
2) Give @brief descriptions to most of the cv::gapi::* namespaces
3) Make some symbols private
- These structures are mainly internal and shouldn't be used directly
There can be an int overflow.
cv::norm( InputArray _src, int normType, InputArray _mask ) is fine,
not cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _mask ).
Update rotatedRectangleIntersection function to calculate near to origin
* Change type used in points function from RotatedRect
In the function that sets the points of a RotatedRect, the types
should be double in order to keep the precision when dealing with
RotatedRects that are defined far from the origin.
This commit solves the problem in some assertions from
rotatedRectangleIntersection when dealing with rectangles far from
origin.
* added proper type casts
* Update rotatedRectangleIntersection function to calculate near to origin
This commit changes the rotatedRectangleIntersection function in order
to calculate the intersection of two rectangles considering that they
are shifted near the coordinates origin (0, 0).
This commit solves the problem in some assertions from
rotatedRectangleIntersection when dealing with rectangles far from
origin.
* Revert type changes in types.cpp and adequate code to c++98
* Revert unnecessary casts on types.cpp
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Update to initInverseRectificationMap()
* update to initInverseRectificationMap() documentation
* Restructured Calib3d_InitInverseRectificationMap unit test per feedback from alalek
* whitespace
G-API: Documentation for Params (IE and ONNX).
* Applying comments
* Removed type of model from PramsDesc
* Added message for onnx ParamDesc
* Whitespaces
* Review
* Fix comments to review
* Fix comments
Co-authored-by: Anatoliy Talamanov <anatoliy.talamanov@intel.com>
G-API: Extend MediaFrame to be able to extract additional info besides access
* Extend MediaFrame to be able to extract additional info besides access
* Add default implementation for blobParams()
* Add comment on the default blobParams()
Fix dynamic loading of clBLAS and clFFT (formerly, clAmdBlas and clAmdFft)
* Fix dynamic loading of clBLAS and clFFT
* Update filenames and function names for clBLAS (formerly, clAmdBlas)
* Update filenames and function names for clFFT (formerly, clAmdFft)
* Uncomment teardown of clFFT; tear down clFFT in same way as clBLAS
* Fix generators for clBLAS and clFFT headers
* Update generators to parse recent clBLAS and clFFT library headers
* Update generators to be compatible with Python 3
* Re-generate OpenCV's clBLAS and clFFT headers
* Update function calls to match names in newly generated headers
* Disable (and comment on) teardown code for clBLAS and clFFT
* Renaming *clamd* files
* Renaming *clamdblas* files to *clblas*
* Renaming *clamdfft* files to *clfft*
* Update generator for CL headers
* Update generator to be compatible with Python 3
Fixed trailing whitespace
Update to initInverseRectificationMap documentation for clarity
Added test case for initInverseRectificationMap()
Updated documentation.
Fixed whitespace error in docs
Small update to test function
Now passes success_error_level
final update to inverseRectification documentation
This commit adds the feature of selecting the thickness
of the matches drawn by the drawMatches function.
In larger images, the default thickness of 1 pixel creates images
that are hard to visualize.
* extended C++ version of Levenberg-Marquardt (LM) solver to accommodate all features of the C counterpart.
* removed C version of LM solver
* made a few other little changes to make the code compile and run smoothly
Improve performance on Arm64
* Improve performance on Apple silicon
This patch will
- Enable dot product intrinsics for macOS arm64 builds
- Enable for macOS arm64 builds
- Improve HAL primitives
- reduction (sum, min, max, sad)
- signmask
- mul_expand
- check_any / check_all
Results on a M1 Macbook Pro
* Updates to #20011 based on feedback
- Removes Apple Silicon specific workarounds
- Makes #ifdef sections smaller for v_mul_expand cases
- Moves dot product optimization to compiler optimization check
- Adds 4x4 matrix transpose optimization
* Remove dotprod and fix v_transpose
Based on the latest, we've removed dotprod entirely and will revisit in a future PR.
Added explicit cats with v_transpose4x4()
This should resolve all opens with this PR
* Remove commented out lines
Remove two extraneous comments
Fix Robertson Calibration NaN Bug
* add epsilon value for numerical stability in robertson merge
* update test to use range based for loop
* add comment to test
* move the epsilon
* address test comments
fix windows build warnings
fix vector type for tests
update tests
make threshold float
address test comments
fix tests and move epsilon again
* use scalar::all, move epsilon, and remove print
* Add Neon optimised RGB2Lab conversion
* Fix compile errors, change lambda to macro
* Change NEON optimised RGB2Lab to just use HAL
* Change [] to v_extract_n in RGB2Lab
* RGB2LAB Code quality, change to nlane agnostic
* Change RGB2Lab to use function rather than macro
* Remove whitespace
Co-authored-by: Francesco Petrogalli <25690309+fpetrogalli@users.noreply.github.com>
* Add the support for riscv64 vector 0.7.1.
* fixed GCC warnings
* cleaned whitespaces
* Remove the worning by the use of internal API of compiler.
* Update the license header.
* removed trailing whitespaces
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@me.com>
Co-authored-by: yulj <linjie.ylj@alibaba-inc.com>
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
* Adding functions rbegin() and rend() functions to matrix class.
This is important to be more standard compliant with C++ and an ever increasing number of people using standard algorithms for better code readability- and maintainability.
The functions are copy pated from their counterparts (even though they should probably call the counterparts but this gave me some troube).
They return iterators using std::reverse_iterators
Follow up of an open feature request:
https://github.com/opencv/opencv/issues/4641
* Fix rbegin() and rend() and provide tests for them
* Removing unnecessary whitespaces
* Adding rbegin and rend to Mat_ class with the right parameters so we don't need to repeat the template argument.
An instantiating cv::Mat_<int> for example can call it's rbegin() function and doesn't need rbegin<int>() with this convience addition.
Follows what is done for forward iterators
* static cast the vector size (return size_t) to an int (that is required for opencv mat constructor)
Co-authored-by: Stefan <stefan.gerl@tum.de>
G-API: New python operations API
* Reimplement test using decorators
* Custom python operation API
* Remove wip status
* python: support Python code in bindings (through loader only)
* cleanup, skip tests for Python 2.x (not supported)
* python 2.x can't skip unittest modules
* Clean up
* Clean up
* Fix segfault python3.9
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Fixes for Swift troubles
* Remove NS_SWIFT_NAME override for Point, Rect, and Size due to Darwin namespace conflict
* Fix swift_type overrides in objc generator
* Add backwards compatibility Swift typealiases for Point, Rect, Size
* Add disable-swift build option to iOS/macOS builds
* Add import directive to swift source when building with disable-swift
Co-authored-by: Chris Ballinger <cballinger@rightpoint.com>
G-API MTCNN demo hotfix to align overall pipeline accuracy with the reference Python code output.
* MTCNN G-API demo aligned with Python from OMZ
* clean up
* more comments from Maxim are addressed.
* address comment from Dmitry
this corrects bug #16592 where a Stream is created at
each GpuMat::load(arr,stream) call
a correct solution would have been to add a default to GpuMat::load
but due to circular dependence between Stream and GpuMat, this is not possible
add test_cuda_upload_download_stream to test_cuda.py
- Added missing documentation for the CALIB_FIX_FOCAL_LENGTH flag
- Removed erroneous information about the number of distortion coefficients
returned
- Added some missing @ref tags
Fix unsigned int bug in computeECC
* address issue with unsigned ints in computeEcc
* remove additional logic checking firstOctave
* use swap instead of same src/dst
* simplify the unsigned check logic
Support building with OpenEXR 3.x
* Support OpenEXR 3.0
Try to find OpenEXR 3.0 using the upstream cmake config, and fallback to the previous algorithm if not found
* Add explicit ImfFrameBuffer.h include
This was transitively included with OpenEXR 2.x, but that's no longer the case with OpenEXR 3.x
Add reading of specific images from multipage tiff
* Add reading of specific images from multipage tiff
* Fix build issues
* Add missing flag for gdal
* Fix unused param warning
* Remove duplicated code
* change public parameter type to int
* Fix warnings
* Fix parameter check
G-API MTCNN sample
* add face detection demo
* clean up
* enable back accumulate
* additional input
* meta args workaround
* additional arg
* add init
* roll back
* fix shadowing
* roll back
* clean up and PNet copy from debug branch which now works
* try nets operator
* more clean up
* more clean up
* add 6 layers pyramid experimental code
* final clean up and ready for PR
* original image resize
* Remove Pnet declarations. Generic infer is used now.
* scales and sizes calculation added
* fix assert, and add ceil to size calculation
* try doubles for scales
* Address comments from Dmitry.
* use half scale option
* fix half scale
* clean up debug outputs
* try to get input image width and height
* clean up
* trailing spaces and review from Maxim
* more comments from Maxim are addressed
* try to fix warnings
* try to fix warnings and address more comments from Dmitry
* crop fix and clean up
* more warnings fixes
* more warnings fixes
* more comments from Maxim are addressed
* even more consts
* copy_n for regressions
* address more comments from Dmitry
* more comments from Maxim
fix a build warning:
```
C:\Slave\workspace\precommit\windows10\opencv\modules\photo\src\contrast_preserve.hpp(289): warning C4244: '=': conversion from 'double' to '_Tp', possible loss of data
with
[
_Tp=float
]
C:\Slave\workspace\precommit\windows10\opencv\modules\photo\src\contrast_preserve.hpp(361): warning C4244: '=': conversion from 'double' to '_Tp', possible loss of data
with
[
_Tp=float
]
```
(from https://build.opencv.org.cn/job/precommit/job/windows10/1633/console)
Currently, the LOADER_DIR is set as os.path.dirname(os.path.abspath(__file__)). This does not point to the true library path if the cv2 folder is symlinked into the Python package directory such that importing cv2 under Python fails. The proposed change only resolves symbolic links correctly by calling os.path.realpath(__file__) first and does not change anything if __file__ contains no symbolic link.
Fix bug with predictions in RTrees/Boost
* address bug where predict functions with invalid feature count in rtrees/boost models
* compact matrix rep in tests
* check 1..n-1 and n+1 in feature size validation test
Fix Single ThresholdBug in Simple Blob Detector
* address bug with using min dist between blobs in blob detector
cast type in comparison and remove docs
address bug with using min dist between blobs in blob detector
use scalar instead of int
address bug with using min dist between blobs in blob detector
* fix namespace and formatting
Also bring perf_imgproc CornerMinEigenVal accuracy requirements in line with
the test_imgproc accuracy requirements on that test and fix indentation on
the latter.
Partially addresses issue #9821
This commit passes the parameter maxIters that represent
the maximum number of iterations, that can be passed to findFundamentalMat
to the method LMeDS.
This parameter were added to the function findFundamentalMat and
were passed just for the RANSAC method, but should be passed to
both methods to be consistent.
[G-API] Fix bug of GArray<GArray> passing through a graph
* Add test to check GArray<GArray> passing through a graph (assertion failed)
* G-API: Flatten GArray<T> to std::vector<T> when capturing VCtr
- Also: Fix formatting in garray.hpp
* Refactored test, added valuable check
* Initialize size_t
Co-authored-by: Dmitry Matveev <dmitry.matveev@intel.com>
* fix the perf tests of OpenCV.js so that it can run on Node.js successfully
* do not modify the CMakeLists.txt
Co-authored-by: lionkun <871518554@qq.com>
G-API: ONNX. Adding INT64-32 conversion for output.
* Added int64 to 32 conversion
* Added warning
* Added type checks for all toCV
* Added type checks for tests
* Small fixes
* Const for fixture in test
* std::tuple if retutn value for toCV
* Mistake
* Changed toCV for tests
* Added Assert
* Fix for comments
* One conversion for ONNX and IE
* Clean up
* One more fix
* Added copyFromONNX
* Removed warning
* Apply review comments
