* [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>
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
* Workaround for IPP linking problem
* Apply -Bsymbolic to all cases when IPP is on
* Tried to hide symbols on MacOS
* Tried on --exclude-libs option
* Fixed macos and win warnings
* Fixed win build
* cmake(IPP): move --exclude-libs,libippcore.a to IPP CMake file
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Android NDK camera support
* Add native camera video backend for Android
* In the event of a "No buffer available error" wait for the appropriate callback and retry
* Fix stale context when creating a new AndroidCameraCapture
* Add property handling
* fix find zlib.so instead of zlib.a when NDK >= 19
On Android platform, `libopencv_imgcodecs.a` is built, expected to
depend on `libz.so`. However, since Android NDK r19, NDK's `libz.a`
is found instead of `libz.so`, leading to link error
(not found libz.a) on machines without same NDK version & direcotry.
Since Android NDK-r19, toolchain pieces are installed to
`$NDK/toolchains/llvm/prebuilt/<host-tag>/...`, including `libz.so`.
Also installed to old paths (`<NDK>/platforms` and `<NDK>/sysroot`)
in NDK r19, r20, r21, but since NDK 22, old paths are removed.
- https://github.com/android/ndk/wiki/Changelog-r19
- https://github.com/android/ndk/wiki/Changelog-r22
With this commit, `libz.so` can be correctly found in NDK<19 and NDK>=19.
`ZLIB_LIBRARIES` is also simplified as `z`, by appending match (regex)
patterns for new toolchain installation directory's libz.so's paths.
* simplify libz.so match pattern for abbreviation
Support XCFramework builds, Catalyst
* Early work on xcframework support
* Improve legibility
* Somehow this works
* Specify ABIs in a place where they won't get erased
If you pass in the C/CXX flags from the Python script, they won't be respected. By doing it in the actual toolchain, the options are respected and Catalyst successfully links.
* Clean up and push updates
* Actually use Catalyst ABI
Needed to specify EXE linker flags to get compiler tests to link to the Catalyst ABIs.
* Clean up
* Revert changes to common toolchain that don't matter
* Try some things
* Support Catalyst build in OSX scripts
* Remove unnecessary iOS reference to AssetsLibrary framework
* Getting closer
* Try some things, port to Python 3
* Some additional fixes
* Point Cmake Plist gen to osx directory for Catalyst targets
* Remove dynamic lib references for Catalyst, copy iOS instead of macos
* Add flag for building only specified archs, remove iOS catalyst refs
* Add build-xcframework.sh
* Update build-xcframework.sh
* Add presumptive Apple Silicon support
* Add arm64 iphonesimulator target
* Fix xcframework build
* Working on arm64 iOS simulator
* Support 2.7 (replace run with check_output)
* Correctly check output of uname_m against arch
* Clean up
* Use lipo for intermediate frameworks, add python script
Remove unneeded __init__.py
* Simplify python xcframework build script
* Add --only-64-bit flag
* Add --framework-name flag
* Document
* Commit to f-strings, improve console output
* Add i386 to iphonesimulator platform in xcframework generator
* Enable objc for non-Catalyst frameworks
* Fix xcframework builder for paths with spaces
* Use arch when specifying Catalyst build platform in build command
* Fix incorrect settings for framework_name argparse configuration
* Prefer underscores instead of hyphens in new flags
* Move Catalyst flags to where they'll actually get used
* Use --without=objc on Catalyst target for now
* Remove get_or_create_folder and simplify logic
* Remove unused import
* Tighten up help text
* Document
* Move common functions into cv_build_utils
* Improve documentation
* Remove old build script
* Add readme
* Check for required CMake and Xcode versions
* Clean up TODOs and re-enable `copy_samples()`
Remove TODO
Fixup
* Add missing print_function import
* Clarify CMake dependency documentation
* Revert python2 change in gen_objc
* Remove unnecessary builtins imports
* Remove trailing whitespace
* Avoid building Catalyst unless specified
This makes Catalyst support a non-breaking change, though defaults should be specified when a breaking change is possible.
* Prevent lipoing for the same archs on different platforms before build
* Rename build-xcframework.py to build_xcframework.py
* Check for duplicate archs more carefully
* Prevent sample copying error when directory already exists
This can happen when building multiple architectures for the same platform.
* Simplify code for checking for default archs
* Improve build_xcframework.py header text
* Correctly resolve Python script paths
* Parse only known args in ios/osx build_framework.py
* Pass through uncaptured args in build_xcframework to osx/ios build
* Fix typo
* Fix typo
* Fix unparameterized build path for intermediate frameworks
* Fix dyanmic info.plist path for catalyst
* Fix utf-8 Python 3 issue
* Add dynamic flag to osx script
* Rename platform to platforms, remove armv7s and i386
* Fix creation of dynamic framework on maccatalyst and macos
* Update platforms/apple/readme.md
* Add `macos_archs` flag and deprecate `archs` flag
* Allow specification of archs when generating xcframework from terminal
* Change xcframework platform argument names to match archs flag names
* Remove platforms as a concept and shadow archs flags from ios/osx .py
* Improve documentation
* Fix building of objc module on Catalyst, excluding Swift
* Clean up build folder logic a bit
* Fix framework_name flag
* Drop passthrough_args, use unknown_args instead
* minor: coding style changes
Co-authored-by: Chris Ballinger <cballinger@rightpoint.com>
Added clapack
* bring a small subset of Lapack, automatically converted to C, into OpenCV
* added missing lsame_ prototype
* * small fix in make_clapack script
* trying to fix remaining CI problems
* fixed character arrays' initializers
* get rid of F2C_STR_MAX
* * added back single-precision versions for QR, LU and Cholesky decompositions. It adds very little extra overhead.
* added stub version of sdesdd.
* uncommented calls to all the single-precision Lapack functions from opencv/core/src/hal_internal.cpp.
* fixed warning from Visual Studio + cleaned f2c runtime a bit
* * regenerated Lapack w/o forward declarations of intrinsic functions (such as sqrt(), r_cnjg() etc.)
* at once, trailing whitespaces are removed from the generated sources, just in case
* since there is no declarations of intrinsic functions anymore, we could turn some of them into inline functions
* trying to eliminate the crash on ARM
* fixed API and semantics of s_copy
* * CLapack has been tested successfully. It's now time to restore the standard LAPACK detection procedure
* removed some more trailing whitespaces
* * retained only the essential stuff in CLapack
* added checks to lapack calls to gracefully return "not implemented" instead of returning invalid results with "ok" status
* disabled warning when building lapack
* cmake: update LAPACK detection
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
* G-API: Introduce ONNX backend for Inference
- Basic operations are implemented (Infer, -ROI, -List, -List2);
- Implemented automatic preprocessing for ONNX models;
- Test suite is extended with `OPENCV_GAPI_ONNX_MODEL_PATH` env for test data
(test data is an ONNX Model Zoo repo snapshot);
- Fixed kernel lookup logic in core G-API:
- Lookup NN kernels not in the default package, but in the associated
backend's aux package. Now two NN backends can work in the same graph.
- Added Infer SSD demo and a combined ONNX/IE demo;
* G-API/ONNX: Fix some of CMake issues
Co-authored-by: Pashchenkov, Maxim <maxim.pashchenkov@intel.com>
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
- 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
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
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
The legacy `includedir` was removed in 4.0 (https://github.com/opencv/opencv/pull/12477) but it was not removed from the `.pc` file.
This causes issues when trying to link against OpenCV using pkg-config in CMake.
* Update OpenCVFindVA_INTEL.cmake
When set env VA_INTEL_IOCL_ROOT, "if($ENV{VA_INTEL_IOCL_ROOT})" don't work.
My modification as follow.
- if($ENV{VA_INTEL_IOCL_ROOT})
+ if(DEFINED ENV{VA_INTEL_IOCL_ROOT})
Refer: https://cmake.org/cmake/help/latest/variable/ENV.html
* based on merge comment, update code
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>
* Add android support for tengine
* modify tengine download use commit id
* Del some invalid log in Tengine
* Test. default enable tengine
* ndk version judegment
* Close test . set Tengine default OFF
* Logic problem
* test .Android NDK judgement .
* Cmake error modify.
* cmake: cleanup tengine scripts
* cmake: use tengine target name
* cmake: disable testing of BUILD_ANDROID_PROJECTS=OFF
* Close test .
* Add Tengine support .
* Modify printf to CV_LOG_WARNING
* a few minor fixes in the code
* Renew Tengine version
* Add header file for CV_LOG_WARNING
* Add #ifdef HAVE_TENGINE in tengine_graph_convolution.cpp
* remove trailing whitespace
* Remove trailing whitespace
* Modify for compile problem
* Modify some code style error
* remove whitespace
* Move some code style problem
* test
* add ios limit and build problem
* Modified as alalek suggested
* Add cmake 2.8 support
* modify cmake 3.5.1 problem
* test and set BUILD_ANDROID_PROJECTS OFF
* remove some compile error
* remove some extra code in tengine
* close test.
* Test again
* disable android.
* delete ndk version judgement
* Remove setenv() call . and add License information
* Set tengine default OFF. Close test .
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
