* better accuracy of _rotatedRectangleIntersection
instead of just migrating to double-precision (which would work), some computations are scaled by a factor that depends on the length of the smallest vectors.
There is a better accuracy even with floats, so this is certainly better for very sensitive cases
* Update intersection.cpp
use L2SQR norm to tune the numeric scale
* Update intersection.cpp
adapt samePointEps with L2 norm
* Update intersection.cpp
move comment
* Update intersection.cpp
fix wrong numericalScalingFactor usage
* added tests
* fixed warnings returned by buildbot
* modifications suggested by reviewer
renaming numericalScaleFctor to normalizationScale
refactor some computations
more "const"
* modifications as suggested by reviewer
Fix LSTM support in ONNX
* fix LSTM and add peephole support
* disable old tests
* turn lambdas into functions
* more hacks for c++98
* add assertions
* slice fixes
* backport of cuda-related fixes
* address review comments
Add 10-12-14bit (integer) TIFF decoding support
* Add 12bit (integer) TIFF decoding support
An (slow) unpacking step is inserted when the native bpp is not equal to the dst_bpp
Currently, I do not know if there can be several packing flavours in TIFF data.
* added tests
* move sample files to opencv_extra
* added 10b and 14b unpacking
* fix compilation for non MSVC compilers by using more standard typedefs
* yet another typdef usage change to fix buildbot Mac compilation
* fixed unpacking of partial packets
* fixed warnings returned by buildbot
* modifications as suggested by reviewer
* add apply softmax option to ClassificationModel
* remove default arguments of ClassificationModel::setSoftMax()
* fix build for python
* fix docs warning for setSoftMax()
* add impl for ClassficationModel()
* fix failed build for docs by trailing whitespace
* move to implement classify() to ClassificationModel_Impl
* move to implement softmax() to ClassificationModel_Impl
* remove softmax from public method in ClassificationModel
All classes are registered in the scope that corresponds to C++
namespace or exported class.
Example:
`cv::ml::Boost` is exported as `cv.ml.Boost`
`cv::SimpleBlobDetector::Params` is exported as
`cv.SimpleBlobDetector.Params`
For backward compatibility all classes are registered in the global
module with their mangling name containing scope information.
Example:
`cv::ml::Boost` has `cv.ml_Boost` alias to `cv.ml.Boost` type
Optimize cv::applyColorMap() for simple case
* Optimize cv::applyColorMap() for simple case
PR for 21640
For regular cv::Mat CV_8UC1 src, applying the colormap is simpler than calling the cv::LUT() mechanism.
* add support for src as CV_8UC3
src as CV_8UC3 is handled with a BGR2GRAY conversion, the same optimized code being used afterwards
* code style
rely on cv::Mat.ptr() to index data
* Move new implementation to ColorMap::operator()
Changes as suggested by reviewer
* style
improvements suggsted by reviewer
* typo
* tune parallel work
* better usage of parallel_for_
use nstripes parameter of parallel_for_
assume _lut is continuous to bring faster pixel indexing
optimize src/dst access by contiguous rows of pixels
do not locally copy the LUT any more, it is no more relevant with the new optimizations
* Added NEON support in builds for Windows on ARM
* Fixed `HAVE_CPU_NEON_SUPPORT` display broken during compiler test
* Fixed a build error prior to Visual Studio 2022
4.x: submodule or a class scope for exported classes
* feature: submodule or a class scope for exported classes
All classes are registered in the scope that corresponds to C++
namespace or exported class.
Example:
`cv::ml::Boost` is exported as `cv.ml.Boost`
`cv::SimpleBlobDetector::Params` is exported as
`cv.SimpleBlobDetector.Params`
For backward compatibility all classes are registered in the global
module with their mangling name containing scope information.
Example:
`cv::ml::Boost` has `cv.ml_Boost` alias to `cv.ml.Boost` type
* refactor: remove redundant GAPI aliases
* fix: use explicit string literals in CVPY_TYPE macro
* fix: add handling for class aliases
Use YuNet of fixed input shape to fix not-supported-dynamic-zero-shape for FaceDetectorYN
* use yunet with input of fixed shape
* update yunet used in face recognition regression
Thread Sanitizer identified an incorrect implementation of double checked locking.
Replaced it with a static, which therefore can only be created once.
Default FFMPEG VideoCapture backend to rtsp_flags=prefer_tcp
* Make the VideoCapture ffmpeg backends default rtsp connection type prefer_tcp.
* Ensure that the ffmpeg version of avformat is checked.
Zihao Mu
Anna Khakimova
Pierre Chatelier
Maksim Shabunin
Anatoliy Talamanov
Sergey Ivanov
rogday
Ilya Churaev
Alexander Alekhin
Tsukasa Sugiura
Ruslan Garnov
Vincent Rabaud
masa-iwm
Vadim Levin
Tatsuro Shibamura
Aleksei Trutnev
Yuantao Feng
Zhuo Zhang
KaurkerDevourer
Artem Saratovtsev
Yuriy Chernyshov
Sean McBride
Yusuke Kameda
Suleyman TURKMEN
Pavel Rojtberg
cudawarped
Vincent Rabaud
Greg Fiumara
Dmitry Budnikov