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Accepting request 1114642 from home:StefanBruens:branches:science

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- 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)

OBS-URL: https://build.opensuse.org/request/show/1114642
OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=36
This commit is contained in:
Stefan Brüns 2023-10-02 00:29:16 +00:00 committed by Git OBS Bridge
parent 453fda3912
commit f9c03a87bc
6 changed files with 140 additions and 9 deletions
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3
opencv-4.7.0.tar.gz
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131
opencv.changes
View File

@ -1,3 +1,134 @@
-------------------------------------------------------------------
Sun Oct 1 22:45:15 UTC 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 09:59:55 UTC 2022 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

6
opencv.spec
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@ -1,7 +1,7 @@
#
# spec file for package opencv
#
# Copyright (c) 2022 SUSE LLC
# Copyright (c) 2023 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@ -22,7 +22,7 @@
%endif
%define libname lib%{name}
%define soname 407
%define soname 408
# disabled by default as many fail
%bcond_with tests
%bcond_without gapi
@ -30,7 +30,7 @@
%bcond_without python3
%bcond_without openblas
Name: opencv
Version: 4.7.0
Version: 4.8.1
Release: 0
Summary: Collection of algorithms for computer vision
# GPL-2.0 AND Apache-2.0 files are in 3rdparty/ittnotify which is not build

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