Support downloading 3rdparty resources from Gitcode & Gitlab-style mirrors
* replace github.com with gitcode.net for ocv_download
* replace raw.githubusercontent.com with gitcode.net for ocv_download
* rename funtions and remove some comments
* add options for custom mirrors, which simply replace domain github.com & githubusercontent.com
* run ocv_init_download once; replace DL_URL with mirrored one when calling ocv_download
* fix for empty download links when not using mirror
* fix bugs: set(.. .. PARENT_SCOPE) for ocv_init_download; correct macro names for replace github archives and raw githubusercontent
* adjusted mirror swapping impl: replace with mirrored link before each ocv_download; update md5sum for archives
* fix a bug: macro invoked with incorrect arguments by non-set vars
* enclose if statement
* workable impl
* shorten the var names of two key options
* scalable implementation of downloading from mirror and using custom mirror
* improve ocv_init_download help message
* fix the different extracted directory name in case of ADE & TBB which are downloaded from release page
* improve help message printing
* Download ADE & TBB using commit ids instead of from release pages
* support custom mirrors on downloading archives
* improve hints
* add missing parentheses
* reset ocv_download calls
* mirror support implementation using ocv_cmake_hook & ocv_cmake_hook_append
* move ocv_init_download into cmake/OpenCVDownload.cmake
* move ocv_cmake_hook before checking CMake cache
* improve hints when not fetching as git repo
* add WORKING_DIRECTORY in execute_process in ocv_init_download
* use OPENCV_DOWNLOAD_MIRROR_ID
* add custom.cmake for custom mirror
* detect github origin
* fix broken var name
* download from github by default if custom tbb is set
* add checksum checks for gitcode.cmake before replacing urls and checksums
* add checksum checks for custom.cmake before replacing urls and checkusms
* use description specify instead of set for messages in custom.cmake; use warning message for warnings
* updates and fixes
* 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
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
### Critical bugs fixed:
- `seam_finder.find()` returns None and overwrites `masks_warped`
- `indices` is only 1-dimensional
### Nice-to-have bugs fixed:
- avoid invalid value in sqrt and subsequent runtime warning
- avoid printing help string on each run (use argparse builtin behavior)
### New features:
- added graphcut seam finder support
### Test Summary:
Tested on Ubuntu 20.04 with python 3.8.10 and opencv-python-contrib 4.5.5.62
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
Alexander Alekhin
Stefano Allegretti
Giles Payne
Yuantao Feng
Anna Khakimova
Pierre Chatelier
Maksim Shabunin
Anatoliy Talamanov
Sergey Ivanov
rogday
Ilya Churaev
Tsukasa Sugiura
Ruslan Garnov
masa-iwm
Jeremy Ephron
Vadim Levin
Sinitsina Maria
Tatsuro Shibamura
Aleksei Trutnev
Zhuo Zhang