Support OpenGL GTK3 New API #25822Fixes#20001
GSoC2024 Project
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Explicitly prefer legacy GL in cmake on Linux? #22836
Pertaining Issue: #22835
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Highgui backend on top of Framebuffer #25661
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Environment variables used:
OPENCV_UI_BACKEND - you need to add the value “FB”
OPENCV_UI_PRIORITY_FB - requires priority indication
OPENCV_HIGHGUI_FB_MODE={FB|XVFB|EMU} - mode of using Framebuffer (default "FB")
- FB - Linux Framebuffer
- XVFB - virtual Framebuffer
- EMU - emulation (images are not displayed)
OPENCV_HIGHGUI_FB_DEVICE (FRAMEBUFFER) - path to the Framebuffer file (default "/dev/fb0").
Examples of using:
sudo OPENCV_UI_BACKEND=FB ./opencv_test_highgui
sudo OPENCV_UI_PRIORITY_FB=1111 ./opencv_test_highgui
OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=EMU ./opencv_test_highgui
sudo OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=FB ./opencv_test_highgui
export DISPLAY=:99
Xvfb $DISPLAY -screen 0 1024x768x24 -fbdir /tmp/ -f /tmp/user.xvfb.auth&
sudo -u sipeed XAUTHORITY=/tmp/user.xvfb.auth x11vnc -display $DISPLAY -listen localhost&
DISPLAY=:0 gvncviewer localhost&
FRAMEBUFFER=/tmp/Xvfb_screen0 OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=XVFB ./opencv_test_highgui
core: deployment compatibility for old mac after Accelerate New LAPACK fix#25625
Attempt to fix https://github.com/opencv/opencv/pull/24804#discussion_r1609957747
We may need to explicitly add build option `-DCMAKE_OSX_DEPLOYMENT_TARGET=12.0` or environment variable (`export MACOSX_DEPLOYMENT_TARGET=12.0`) for mac builds (python package most probably) on builders with new macOS (>= 13.3).
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core: try to solve warnings caused by Apple's new LAPACK interface #24804
Resolves https://github.com/opencv/opencv/issues/24660
Apple's BLAS documentation: https://developer.apple.com/documentation/accelerate/blas?language=objc
New interface since macOS >= 13.3, iOS >= 16.4.
Todo:
- [x] Detect macOS version.
- [x] ~Detect iOS versions (major and minor version).~ No calling of Accelerate New LAPACK on iOS.
- [x] Solve calling `cblas_cgemm` and `cblas_zgemm`.
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Currently, zlib-ng version is 'zlib ver #define ZLIB_VERSION "1.3.0.zlib-ng"'. Because ocv_parse_header_version only accepts dot and numbers and doesn't accepts 1.3.0.zlib-ng. This patch changes ocv_parse_header_version to accept all characters between parentheses.
Fix for IPP 2021.10 with OneAPI 2024 #25317fixes#25270
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3rdparty: libtiff: fix for small version expression problems for built-in tiff460 #25257Close#25256
1. fix to show build-int libtiff version
2. fix to set value of LIBTIFF_VERSION define.
(RELEASE-DATE file coms from original libtiff 4.6.0)
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Replace legacy __ARM_NEON__ by __ARM_NEON #25024
Even ACLE 1.1 referes to __ARM_NEON
https://developer.arm.com/documentation/ihi0053/b/?lang=en
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Allow multiple flags with OPENCV_GRADLE_VERBOSE_OPTIONS #24969
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Merge with https://github.com/opencv/ci-gha-workflow/pull/144
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- [x] I agree to contribute to the project under Apache 2 License.
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- [x] The PR is proposed to the proper branch
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Zlib-ng is zlib replacement with optimizations for "next generation" systems. Its optimization may benifits image library decode and encode speed such as libpng. In our tests, if using zlib-ng and libpng combination on a x86_64 machine with AVX2, the time of `imdecode` amd `imencode` will drop 20% approximately. This patch enables zlib-ng's optimization if `CV_DISABLE_OPTIMIZATION` is OFF. Since Zlib-ng can dispatch intrinsics on the fly, port work is much easier.
Related discussion: https://github.com/opencv/opencv/issues/22573
FAILED: lib/libopencv_core.so.13.0
...
ld: error: undefined symbol: __cxa_atexit
Do not try to use --no-undefined on OpenBSD. OpenBSD does not link
shared libraries with libc and thus linkage with --no-undefined is
expected to fail.
Two CMake variable are marked as deprecated and "#TODO next release:
remove this". It is introduced in https://github.com/opencv/opencv/pull/11167
which is before the release of 4.0. Since it's deprecated almost six
years ago, I think it's OK to remove them.
- Added JavaDoc package build and publishing
- Added Source package build and publishing
- More metadata for publishing
- Disable native samples build with aar, because prefab is not complete yet
Currently, if `PNG_FOUND`, cmake scripts will check include and parse
header while we can use `PNG_VERSION_STRING` conveniently. If
`BUILD_PNG`, parse version from `PNG_LIBPNG_VER_STRING` directly is more
convenient than parsing major, minor and patch and concatenate them.
The comment of png.h also supports this.
```
/* These should match the first 3 components of PNG_LIBPNG_VER_STRING: */
```
https://github.com/glennrp/libpng/blob/libpng16/png.h#L287
This patch also modifies `ocv_parse_header_version` macro to receive
another parameter to make it more general.
The reason why changing `PNG_VERSION` to `PNG_VERSION_STRING` is to be
consistent with cmake's FindPNG.
This patch removes `HAVE_LIBPNG_PNG_H` variable because `PNG_INCLUDE_DIR`
is where to find png.h, etc according to
https://cmake.org/cmake/help/latest/module/FindPNG.html.
This patch also removes `PNG_PNG_INCLUDE_DIR` variable which is an
advanced variable used in cmake's FindPNG and is not used in opencv.
Currently, if OpenJPEG is found, only version information in summary is
correct and the information right after `find_package(OpenJPEG)` is
wrong.
```
-- Found system OpenJPEG: openjp2 (found version "")
```
The reason is OpenJPEGConfig.cmake only sets `OPENJPEG_MAJOR_VERSION`,
`OPENJPEG_MINOR_VERSION` and `OPENJPEG_BUILD_VERSION` but not `OPENJPEG_VERSION`.
Currently cmake scripttry to use regex to parse VER_MAJOR, VER_MINOR,
VER_REVISION from ZLIB_VERSION. However, ZLIB_VERSION is "1.3" which
means that there is no VER_REVISION.
You can reproduce using "-DBUILD_ZLIB=ON"
```
-- ZLib: zlib (ver 1.3.#define ZLIB_VERSION "1.3")
```
This patch add a new macro ocv_parse_header_version to extract version
information.
Add experimental support for Apple VisionOS platform #24136
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This is dependent on cmake support for VisionOs which is currently in progress.
Creating PR now to test that there are no regressions in iOS and macOS builds
Add support for external libspng. #24718
Fixes https://github.com/opencv/opencv/issues/24683
Related patch to libspng: https://github.com/randy408/libspng/pull/264
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Fix path to ONNX Runtime include folder #24601
### Pull Request Readiness Checklist
Looks the `install` directory layout has been changed for `v1.16.3`
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G-API: Support CoreML Execution Providers for ONNXRT Backend #24068
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- Use the same tools and plugins for SDK build and AAR build
- Added script to test Gradle-based samples against local maven repo
- Various local fixes and debug prints
This patch change lsx to baseline feature, and lasx to dispatch
feature. Additionally, the runtime detection methods for lasx and
lsx have been modified.
* add Winograd FP16 implementation
* fixed dispatching of FP16 code paths in dnn; use dynamic dispatcher only when NEON_FP16 is enabled in the build and the feature is present in the host CPU at runtime
* fixed some warnings
* hopefully fixed winograd on x64 (and maybe other platforms)
---------
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Updated Android samples for modern Android studio. Added OpenCV from Maven support. #24473
Updated samples for recent Android studio:
- added namespace field that is required in build.gradle files
- replaced _switch_ by _if-else_ because it doesn't work with constants from resources
- added missed log library dependency in face-detection/jni/CMakeLists.txt
- use local.properties to define NDK location
Added support for OpenCV from Maven. Now you can choose 3 possible sources of OpenCV lib in settings.gradle: SDK path, local Maven repository, public Maven repository. (Creating Maven repository from SDK is added here #24456 )
There are differences in project configs for SDK and Maven versions:
- different dependencies in build.gradle
- different OpenCV library names in CMakeLists.txt
- SDK version requires OpenCV_DIR definition
Requires:
- https://github.com/opencv/ci-gha-workflow/pull/124
- https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/26
G-API: Advanced device selection for ONNX DirectML Execution Provider #24060
### Overview
Extend `cv::gapi::onnx::ep::DirectML` to accept `adapter name` as `ctor` parameter in order to select execution device by `name`.
E.g:
```
pp.cfgAddExecutionProvider(cv::gapi::onnx::ep::DirectML("Intel Graphics"));
```
### Pull Request Readiness Checklist
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Yoshiki Obinata
Amir Hassan
kozinove
Kumataro
eplankin
Yuantao Feng
Benjamin Buch
Letu Ren
JunX
Oleg Pipikin
Alexander Smorkalov
Vincent Rabaud
Alexander Lyulkov
Alexander Smorkalov
Brad Smith
cudawarped
Alexander Alekhin
Tomoaki Teshima
chacha21
Giles Payne
MengqingCao
Anatoliy Talamanov
alexlyulkov
Hao Chen
zihaomu
huafengchun