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| Name: libopencv_aruco410 | Distribution: openSUSE Tumbleweed |
| Version: 4.10.0 | Vendor: openSUSE |
| Release: 2.2 | Build date: Sat Nov 23 17:54:49 2024 |
| Group: System/Libraries | Build host: reproducible |
| Size: 46565 | Source RPM: opencv-4.10.0-2.2.src.rpm |
| Packager: http://bugs.opensuse.org | |
| Url: https://opencv.org/ | |
| Summary: Pattern grid detection libraries for OpenCV | |
Pattern grid detectiion libraries for OpenCV
BSD-3-Clause
* Sat Nov 23 2024 Dirk Müller <dmueller@suse.com>
- fix build with python 3.13 (needs python-setuptools)
* Sun Jun 09 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org>
- update to 4.10.0, highlights below, for details check
https://github.com/opencv/opencv/wiki/ChangeLog#version4100
* Core Module:
+ Added CV_FP16 data type for cv::Mat #24892, #24918.
Deprecated convertFp16 function, added FP16 support to
cv::Mat::convertTo and analogs.
+ Fixed undefined behaviour in some cases related to FP16
arithmetic #25598 + Extended HAL API for minMaxIdx #25563,
LUT #25554, meanStdDev #25483, moments 25490,
normHamming #25491. HAL entries for transpose #25342,
some arithmetic functions #25574, #25506
+ Persistence: output reals as human-friendly expression.
[#25351]
+ Added cgroups v2 support to parallel framework #25285
+ Added in-place support for cartToPolar and polarToCart
[#24893]
* Imgproc Module:
+ Added relative displacement field option to cv::remap #24621
+ Added new findContours implementation #25146, #25680, #25385
+ Refactored EMD algorithm to get rid of C-API usage #25469
+ Fixed bug in stackBlur with large kernels #25513
+ Extended HAL for projectPoints #25511, equalizeHist #25565,
Otsu threshold #25509. Added new HAL entries for
gaussianBlur#25397, remap #25399, bilaterialFilter #25343.
* Calib3d Module:
+ Fixed several bugs in hand-eye calibration methods #24897,
[#25423]
+ Fixed several bugs in findHomography implementation
[#25308], #25665
+ Multiple improvements in findChessboardCorners
implementation: #25365, 25195, 25177, 25182, 25145, 24779,
24710, 24833, 25090
+ Improved symmetric circles grid pattern detection #25258
+ Fixed possible infinite loop in USAC #24987
+ Changed approach for initial estimation for focal length in
fisheye calibration #25030
+ Added solvePnP implementation for Fisheye camera model #25028
* DNN module:
+ Significantly improved DNN memory consumption #25181, 25163
+ Added Net::dumpToPbtxt method to review optimized graph with
Netron #25582
+ Added support for several TFLite layers: Global_Pool_2D
[#25613], Transpose #25297, HardSwishInt8 #24985, split, fully
connected, SoftMax, Cast #25273.
+ Fixed bugs in several ONNX layers: Slice #25660, Range
[#25414], Clip #25319, ReduceMean #25120, Einsum #25100,
Norm #24808, negative axis support in Concat #24865.
+ Added new ONNX layers: Mod #24765, GroupNorm layer #24610.
+ Added more DNN layers with OpenVINO #25524, #25291, 25518.
+ Optimized fastDepthwiseConv #25361 and int8 layers 25230 for
RISC-V with RVV extension
+ Optimized fastDepthwiseConv for RISC-V P Packed SIMD
Extension v0.5.2 #24556
+ Optimized Attention #24476, #25271, #25238, #24613, 25076.
+ Added parallel version for scatter and scatterND #24813
+ Added broadcasting if a.rank() != b.rank() with
CuDNN backend #24834
+ Tuned Winograd algorithm usage for convolutions #24709
+ Added Raft model support and tracking sample with it #24913
+ Added Vulkan backend for NaryEltwiseLayer in DNN
module #24768
+ Imporved modern Yolo detectors support. Added sample and
documentation #24898, #24611
+ Added CuDNN 9+ support #25412
+ Added OpenVINO 2024 support #25199
* G-API module:
+ Ported G-API ONNXRT backend into V2 API #25662
+ Implement concurrent executor #24845
+ A quick value-initialization support GMat #25055
+ Fixed support of mean/scale preprocessing in OV backend for
non-real types #24704
* Objdetect module:
+ Fixed inaccurate Charuco board generation in some cases
(.generateImage()) #24873, #25673
+ Fixed Aruco detector thread safety issue #24807, made Aruco
detector more deterministic #24829
+ Added QR codes Structured Append decoding mode #24548
+ Several bug fixes in QR code detector and decoder #25026
+ Fixed barcode detectAndDecode #25035
+ Ported remaning Aruco and Charuco documentation and samples
to modern API #23018
* VideoIO:
+ Fix race condition in InternalFFMpegRegister initialization.
[#25419]
+ Orbbec Camera supports MacOS，Gemini2 and Gemini2L support Y16
format #24877
+ Added V4L2_PIX_FMT_SGRBG8 pixel format support to V4L2 backend
[#25249]
+ Fix incorrect timestamps returned by VideoCapture when
CAP_PROP_FORMAT == -1 #24828
* Python Bindings:
+ Experimental NumPy 2.0 support
+ Added python bindings for Rect2f and Point3i #24919
+ Switched to numeric dtype for MatLike instead of generic
[#25406]
+ Added path-like objects support wherever file names are
expected #24773
* Platforms support:
+ CUDA 12.4+ support #25658
+ Wayland back-end for Linux #25551, #25510, #25502
+ New LAPACK interface support on MacOS and derivatives
[#24804], #25625
+ Added initial version of HAL for RISC-V processors with
P-extension (v0.5.2, Andes platforms) #25167
+ Added ARM KleidiCV as HAL for ARM v8 and v9 processors
(-DWITH_KLEIDICV=ON CMake option) #25443, #25618, ARM
announcement.
+ Added zlib-ng as alternative to classic zlib
(-DWITH_ZLIB_NG=ON CMake option) #24782
+ OneAPI 2024 support (IPP, TBB)
* Fri Jan 19 2024 Axel Braun <axel.braun@gmx.de>
- Add %{?sle15allpythons} and build python bindings for all
configured versions (also for Tumbleweed)
* Sat Dec 30 2023 Alessandro de Oliveira Faria <cabelo@opensuse.org>
- update to 4.9.0, highlights below, for details check
https://github.com/opencv/opencv/wiki/ChangeLog#version490
Highlights of this release:
* Core Module:
+ Added cv::broadcast
+ Fixed several rounding issues on ARM platform
+ Added detection & dispatching of some modern NEON
instructions (NEON_FP16, NEON_BF16)
+ Added optimization for LoongArch 128-bit vector,
detection & dispatching of LoongArch
* DNN module patches:
+ Experimental transformers support
+ ONNX Attention layer support
+ ONNX Einsum layer support
+ OpenVINO backend for INT8 models
+ ONNX Gather Elements layer
+ ONNX InstanceNorm layer
+ Better support of ONNX Expand layer with cv::broadcast
+ Improved DNN graph fusion with shared nodes and commutative
operations
+ New fastGEMM implementation and several layers on top of it
+ Winograd fp16 optimizations on ARM
+ Tests and multiple fixes for Yolo family models support
+ New layers support and bug fixes in CUDA backend: GEMM,
Gelu, Add
+ CANN backend: bug fix, support HardSwish,
LayerNormalization and InstanceNormalization
+ LayerNormalization: support OpenVINO, OpenCL and
CUDA backend.
* G-API module:
+ Intel® OpenVINO™ DL inference backend:
- Introduced "inferenence only" ("benchmark") mode
in the OV2.0 backend.
- Fixed model layout setting issue in the OV2.0 backend.
- Fixed/relaxed various asserts in the OV2.0 backend.
+ Core and image processing functionality:
- Fluid kernels were rewritten to new universal intrinsics.
Thanks for this contribution!
+ Streaming and video functionality:
- Introduced a QueueSource: an alternative way to manually
push input frames to the G-API pipeline in the streaming
mode.
- Introduced VAS Object Tracker (OT) for the various video
analytics scenarios.
+ Python bindings:
- Exposed VAS OT in G-API Python bindings.
+ Other changes and fixes:
- Updated ADE (the G-API's graph library) to the latest
version.
- Various code clean-ups and warning fixes.
* Objdetect module:
+ Implemented own QR code decoder as replacement for QUIRC
library
+ Bug fixes in QR code encoder version estimation
+ More accurate Aruco marker corner refinement with
dynamic window
+ Fixed contour filtering in ArUco
+ QR code detection sample for Android
+ Multiple local bug fixes and documentation update for
Aruco makers, Charuco boards and QR codes.
* Video:
+ Google Summer of Code: added a new object tracking API
TrackerVit for a vision transformer-based VitTrack.
This work is done by LIU Pengyu.
* VideoIO:
+ Videoio: Add raw encoded video stream encapsulation
to cv::VideoWriter with CAP_FFMPEG
+ Fix GStreamer backend with manual pipelines.
* Calibration module:
+ Multiple fixes and improvements chess board calibration
rig detector.
+ calibrateCamera throws exception, if calibration system
is underconstrained.
+ Fixed bug in findEssentialMat with USAC
+ Fixed out-of-image access in cv::cornerSubPix
+ Fixed crash in ap3p
+ Fixed stereoRectify image boundaries
+ Fixed "use after free" issue in essential_solver.cpp
* Python Bindings:
+ Added type stub generation for missed types and manually
wrapped types.
+ Added read-only flag handling for Numpy arrays.
+ Fixed exception handling and bindings for in module.
+ Improved error messages in Numpy array type handling.
+ Fixed constructors documentation in Python.
* Platforms and hardware Support:
+ Experimental CUDA support as first class language in CMake
+ Added experimental support for Apple VisionOS platform
+ Add support Orbbec Gemini2 and Gemini2 XL camera
+ Fix fullscreen behavior on macOS
* Other:
+ OpenCV Summer of Code: semi-automated refactoring across
multiple pull requests by HAN Liutong made our CPU-optimized
code compatible with SIMD with variable vector
length (RISC-V RVV)
* Sun Oct 01 2023 Stefan Brüns <stefan.bruens@rwth-aachen.de>
- update to 4.8.1
* WebP security update for CVE-2023-4863
* Depthwise convolution 5x5 performance regression fix
- update to 4.8.0, highlights below, for details check
https://github.com/opencv/opencv/wiki/ChangeLog#version480
Highlights of this release:
* DNN module patches:
+ TFLite models support, including int8 quantized models.
+ Enabled DNN module build without Protobuf dependency.
+ Improved layers => supported more models:
- ONNX: Layer normalization, GELU and QLinearSoftmax.
- Fixes in CANN backend:
* support ONNX Split, Slice, Clip (Relu6) and
Conv with auto_pad.
* support ONNX Sub, PRelu, ConvTranspose.
- Reduce Refactor for robustness and potential
follow-up improvements.
- Fixes for Segment Anything Model by Meta.
- Fixes in nary element wise layer about broadcast:
* Fixes in CPU.
* and Fixes in CUDA backend.
- Further increased DNN speed on ARM and X86 by improving
convolution, covering 1D and 3D cases, supporting
convolution+element-wise op fusion.
- Added full FP16 computation branch on ARMv8 platform, 1.5x
faster than FP32 (FP16 Winograd is still pending).
- Vulkan backend refactor for better performance and
robustness. It runs 4X faster than before.
- Added API blobFromImageParam to build network inputs
with pre-processings.
- Modern OpenVINO support.
* G-API module:
+ Intel® OpenVINO™ inference backend:
- Streamlined preprocessing in OpenVINO
Inference Engine (ie) API 1.0 backend. Note: this backend
will be deprecated after OpenVINO removes the API 1.0
support in its subsequent releases.
- Aligned OpenVINO IE API 1.0 backend with the latest
OpenVINO 2023.0 (as some features were removed there).
- Introduced a brand new OpenVINO API 2.0 backend.
- Implemented the required inference operations for
the OpenVINO API 2.0 backend.
+ Python bindings:
- Exposed varions normalization options for ONNX RT
backend in Python bindings.
- Exposed Fluid kernels and kernel package manipulation
functions (combine()) in Python.
- Fixed issues in Stateful Python kernel state
handling; also fixed various issues in Python tests.
- Fixed issue with opaque kernel output information
handling which broke Python custom kernels.
+ Samples:
- Introduced a new Segmentation demo with desync() to enable
slow-running networks in the real-time.
- Updated stats calculation in the G-API-based pipeline
modelling tool.
+ Other changes and fixes:
- Fixed tolerance in Fluid resize tests to avoid issues
on ARM.
- Fluid backend: extended Merge3 kernel with more
supported data types.
- Fixed standalone mode compilation issues.
* Objdetect module:
+ FaceDetectorYN upgrade for better performance,
accuracy and facial landmarks support.
+ New QR code detection algorithm based on ArUco code.
+ Bar code detector and decoder moved from Contrib to
main repository.
+ Introduced common API for all graphical codes like bar
codes and QR codes.
+ Added flag for legacy pre-4.6.0 ChAruco boards support.
+ Multiple bug fixes and improvements in QR code detection
and decoding pipelines.
+ Multiple bug fixes and improvements in ArUco based pipelines.
* Calibration module:
+ USAC framework improvements.
+ Fixed stddev estimation in camera calibration pipelines.
+ Fixed incorrect pixel grid generation in icvGetRectangles
that improves accuracy of getOptimalNewCameraMatrix,
stereoRectify and some other calibration functions.
Charuco board support in patterns generator, interactive
calibration tool and calibration samples.
* Image processing module:
+ Various fixes in line segments detector.
+ Fixed even input dimensions for INTER_NEAREST_EXACT
in resize.
+ Optimise local cost computation in
IntelligentScissorsMB::buildMap.
+ Keep inliers for linear remap with BORDER_TRANSPARENT
+ Fix distransform to work with large images.
* Features2d module:
+ SIFT accuracy improvements.
* Core module:
+ Added REDUCE_SUM2 option to cv::reduce.
+ Introduced cv::hasNonZero function.
+ Update IPP binaries update to version 20230330.
+ Improved RISC-V RVV vector extensions support.
- Support RVV v0.11 intrinsics available in LLVM 16
and GCC 13
- Support build with T-Head RISC-V toolchain
(RVV 0.7.1 and 1.0)
+ Several OpenCL vendor and version handling improvements.
* Multimedia:
+ Added AVIF support through libavif.
+ Orbbec Femto Mega cameras support.
+ HEVC/H265 support in VideoWriter with MS Media
Foundation backend.
+ Fixed FPS computation on some videos for FFmpeg backend.
+ Added support for VideoCapture CAP_PROP_AUTO_WB and
CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow backend.
+ Fixes OBS Virtual Camera capture.
+ CV_32S encoding support with tiff.
* Python Bindings:
+ Python typing stubs.
+ Fix reference counting errors in registerNewType.
+ Fixed ChAruco and diamond boards detector bindings.
+ Added bindings to allow GpuMat and Stream objects to
be initialized from memory initialized in other libraries
+ np.float16 support.
+ Python bindings for RotatedRect, CV_MAKETYPE, CV_8UC(n).
* JavaScript bindings:
+ Added possibility for disabling inlining wasm in opencv.js
+ Extended JS bindings for Aruco, Charuco, QR codes and
bar codes.
* Other:
+ Several critical issue fixes in wechat_qrcode module
(opencv_contrib)
* Thu Dec 29 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
- update to 4.7.0, highlights below, for details check
https://github.com/opencv/opencv/wiki/ChangeLog#version470
Highlights of this release:
* DNN:
+ New ONNX layers: Scatter and ScatterND, Tile, ReduceL1,
ReduceMin and more.
+ Signinficant performance optimization for convolutions.
Winograd algoritm implementation.
+ Element-wise operation (add, sub, mul, div, ...):
Broadcasting.
+ OpenVino 2022.1 support.
+ CANN backend support.
* Algorithms:
+ ArUco markers and April tags support including ChAruco and
diamond boards detection and calibration.
+ QR code detection and decoding quality imrovement. Alignment
markers support. Benchmark for QR codes: link
+ Nanotrack v2 tracker based on neural networks.
+ Stackblur algoruthm implementation.
* Multimedia:
+ FFmpeg 5.x support.
+ CUDA 12.0 support. Hardware accelerated video codecs support
on NVIDIA platforms with modern Video Codec SDK (NVCUVID and
NVENCODEAPI).
+ CV_16UC1 read/write video support with FFmpeg.
+ Orientation meta support on Mac with native media API.
+ New iterator-based API for multi-page image formats.
+ libSPNG support for PNG format.
+ SIMD acceleration for self-built libJPEG-Turbo
+ H264/H265 support on Android. Multiple fixes for video
decoder, endcoder and camera memory layout.
* G-API
+ Exposed all core APIs to Python, including stateful kernels.
* Optimization:
+ New universal intrinsics backend for scalable vector
instructions. The first scalable implementation for
RISC-V RVV 1.0.
+ DNN module patches:
- Improved layers / supported more models:
* Scatter and ScatterND #22529, Tile #22809
* Fixes in Slice (support negative step #22898)
* Support some reduce layers of ONNX #21601
- Added CANN backend support #22634. Link to the manual:
https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend.
- Added bacthed NMS for multi-class object detection #22857
- Accelerating convolution, especially for ARM CPU.
- Winograd's convolution optimization
+ And many other contributions:
+ Added n-dimensional flip to core #22898
+ Add StackBlur for imgproc #20379
- Removed upstream opencv-ffmpeg5.patch
* Tue Aug 23 2022 Christophe Giboudeaux <christophe@krop.fr>
- Add upstream change to fix include issue with FFmpeg 5:
* opencv-ffmpeg5.patch
* Sun Jun 19 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
- update to 4.6.0, highlights below, for details check
https://github.com/opencv/opencv/wiki/ChangeLog#version460
* OpenCV project infrastructure migrating on GitHub Actions
workflows for CI and release purposes
* Added support for GCC 12, Clang 15
* Added support for FFmpeg 5.0
* DNN module patches:
+ Improved layers / activations / supported more models:
- LSTM (+CUDA), resize (+ONNX13), Sign, Shrink, Reciprocal,
depth2space, space2depth
- fixes in Reduce, Slice, Expand
+ Disabled floating-point denormals processing #21521
+ Changed layer names in ONNX importer to support "output"
entities properly
+ Added TIM-VX NPU backend support:
https://github.com/opencv/opencv/wiki/TIM-VX-Backend-For-Running-OpenCV-On-NPU
+ Added Softmax parameter to ClassificationModel
+ Added audio speech recognition sample (C++) #21458
+ Intel® Inference Engine backend (OpenVINO):
- added initial support for OpenVINO 2022.1 release
- removed support of legacy API (dropped since 2020.3)
* G-API module:
+ G-API framework:
- Introduced a Grayscale image format support for
cv::MediaFrame: #21511;
- Enabeled .reshape() support in the CPU backend: #21669;
- Fixed possible hang in streaming execution mode with constant
inputs: #21567;
- Introduced proper error/exception propagation in the
asynchronous streaming execution mode: #21660;
- Fixed new stream event handling: #21731.
+ Fluid backend:
- Fixed horizontal pass in the Resize kernel, fixed Valgrind
issues: #21144;
- Extended Resize kernel with F32 version: #21678,
added AVX: #21728.
- Enabled dynamic dispatch for Split4 kernel: #21520;
- Enabled dynamic dispatch for Merge3 kernel: #21529;
- Added a SIMD version for DivC kernel: #21474;
- Added a SIMD version for DivRC kernel: #21530;
- Enabled dynamic dispatch for Add kernel: #21686;
- Enabled dynamic dispatch for Sub kernel: #21746;
- Added a SIMD version for ConvertTo kernel: #21777;
- Fixed kernel matrix size for Sobel kernel: #21613.
+ Intel® OpenVINO™ inference backend:
- Fixed NV12 format support for remote memory when OpenVINO
remote context is used: #21424.
- Implemented correct error handling in the backend: #21579.
- Fixed ngraph warnings #21362.
+ OpenCV AI Kit backend:
- Introduced a new backend to program OpenCV AI Kit boards via
G-API. Currently the backend is in experimental state, but allows
to build Camera+NN pipeline and supports heterogeneity (mixing
with host-side code): #20785, #21504.
+ Media integration:
- Enabled GPU inference with oneVPL and DirectX11 on Windows in
Intel OpenVINO inference backend: #21232, #21618, #21658, #21687,
[#21688]. Now GPU textures decoded by oneVPL decoder can be
preprocessed and inferred on GPU with no extra host processing.
- Enabled oneVPL support on Linux: #21883.
- Extended GStreamer pipeline source with Grayscale image format
support: #21560.
+ Python bindings:
- Exposed GStreamer pipeline source in Python bindings: #20832.
- Fixed Python bindings for CudaBufferPool, cudacodec and cudastereo
modules in OpenCV Contrib.
+ Samples:
- Introduced a pipeline modelling tool for cascaded model
benchmarking: #21477, #21636, #21719. The tool supports a
declarative YAML-based config to describe pipelines with simulated
pre-/post-processing. The tool collects and reports latency and
throughput information for the modelled pipeline.
+ Other changes and fixes:
- Moved GKernelPackage into cv:: namespace by default, its cv::gapi::
alias remain for compatibility: #21318;
- Moved Resize kernel from core to imgproc kernel packages for
CPU, OpenCL, and Fluid backends: #21157. Also moved tests
appropriately: #21475;
- Avoided sporadic test failures in DivC: #21626;
- Fixed 1D Mat handling in the framework: #21782;
- Reduced the number of G-API generated accuracy tests: #21909.
- Drop upstream patches:
* 0001-highgui-Fix-unresolved-OpenGL-functions-for-Qt-backe.patch
* videoio_initial_FFmpeg_5_0_support.patch
* videoio_ffmpeg_avoid_memory_leaks.patch
* Fri Apr 29 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Add upstream patches for FFmpeg 5.0 support, add
* videoio_initial_FFmpeg_5_0_support.patch
* videoio_ffmpeg_avoid_memory_leaks.patch
* Sat Apr 09 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Restore memoryperjob constraint, avoid being scheduled on a 16
core system and use less than half of it.
- Adjust %limit_build to 1800, to avoid recurrent build failures
on aarch64. (People should not care for their pet architecture
only, but also carefully check if they break others.)
- Add missing libopencv_aruco dependency in devel package.
* Mon Jan 10 2022 Antonio Larrosa <alarrosa@suse.com>
- Remove the memoryperjob constraint which doesn't work as one
would expect and breaks ppc64 builds.
- Use %limit_memory -m 1700 to set the number of concurrent
jobs to a sane value and fix OOM errors when building in
workers with many cores.
- Decrease the disk constraint to 9G which seems to be enough
/usr/lib/libopencv_aruco.so.4.10.0 /usr/lib/libopencv_aruco.so.410
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