opencv/opencv.changes

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Wed Oct 28 21:15:42 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- update to 4.5.0, see
https://github.com/opencv/opencv/wiki/ChangeLog#version450
for details, highlights:
* OpenCV license has been changed to Apache 2 (OpenCV 3.x will
keep using BSD)
* GSoC is over, all projects were success and most of them have
already been merged. Optimizations for RISC-V, bindings for
Julia language, real-time single object tracking, improved SIFT
and others
* OpenJPEG is now used by default for JPEG2000
* Supported multiple OpenCL contexts
* Improvements in dnn module:
+ Support latest OpenVINO 2021.1 release
+ Tengine lite support for inference on ARM
+ Many fixes and optimizations in CUDA backend
* Added Python bindings for G-API module
* Multiple fixes and improvements in flann module
* Added Robot-World/Hand-Eye calibration function
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Sun Sep 13 16:55:46 UTC 2020 - Dirk Mueller <dmueller@suse.com>
- update to 4.4.0:
* SIFT (Scale-Invariant Feature Transform) algorithm has been
moved to the main repository (patent on SIFT is expired)
* DNN module:
* State-of-art Yolo v4 Detector: #17148.
* onnx: Add support for Resnet_backbone
* EfficientDet models
* add text recognition sample / demo
* FlowNet2 optical flow
* Intel Inference Engine backend
* added support for OpenVINO 2020.3 LTS / 2020.4 releases
* support of NN Builder API is planned for removal in the next release
* Many fixes and optimizations in CUDA backend
* Obj-C / Swift bindings: #17165
* Julia bindings as part of ongoing GSoC project
* BIMEF: A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
* Enable Otsu thresholding for CV_16UC1 images
* Add Stroke Width Transform algorithm for Text Detection
* Planned migration on Apache 2 license for next releases
- remove opencv-includedir.patch (obsolete)
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Thu Aug 20 09:02:23 UTC 2020 - Martin Liška <mliska@suse.cz>
- Use memoryperjob constraint instead of %limit_build macro.
Accepting request 814492 from home:StefanBruens:branches:science - Update to 4.3.0 * DNN module: + Improved layers / activations / supported more models: - ONNX: LSTM, Broadcasting, Algebra over constants, Slice with multiple inputs - DarkNet: grouped convolutions, sigmoid, swish, scale_channels - MobileNet-SSD v3: #16760 + New samples / demos: - Clothes parts segmentation and CP-VTON - DaSiamRPN tracker Intel® Inference Engine backend (OpenVINO™): - added support for custom layers through nGraph OpenVINO API: #16628 - nGraph OpenVINO API is used by default: #16746 + Many fixes and optimizations in CUDA backend (thanks to @YashasSamaga) + OPEN AI LAB team submitted the patch that accelerates OpenCV DNN on ARM using their Tengine library * G-API module: + Introduced a new graph-level data type GOpaque<T>. This type can be used to pass arbitrary user data types between G-API nodes in the graph (supported for CPU/OpenCV backend only). + Introduced a way to declare G-API CPU (OpenCV) kernels in-place + Added a new sample "Privacy masking camera", combining Deep Learning with traditional Image Processing (link) + Added more operations in the default library: WarpAffine, WarpPerspective, NV12toGray. * Performance improvements: + IPP-ICV library with CPU optimizations has been updated to version 2020.0.0 Gold + SIMD intrinsics: integral, resize, (opencv_contrib) RLOF implementation #2476 * And many other great contributions from OpenCV community: + (opencv_contrib) Computer Vision based Alpha Matting (GSoC 2019) #2306 + calib3d: findChessboardCornersSB improvements: #16625 + calib3d: updated documentation for RT matrices: #16860 + core: improved getNumberOfCPUs(): #16268 + imgproc: new algorithm HOUGH_GRADIENT_ALT is added to HoughCircles() function #16561. It has much better recall and precision + imgcodecs: added initial support for OpenJPEG library (version 2+): #16494 + highgui(Qt): added Copy to clipboard: #16677 + dnn: TensorFlow, Darknet and ONNX importers improvements by @ashishkrshrivastava + (opencv_contrib) added rapid module for silhouette based 3D object tracking: #2356 + (opencv_contrib) SIFT detector is enabled by default due patents expiration (without requirement of NONFREE build option) + help materials: OpenCV Cheat Sheet in Python: #4875 * Changes that can potentially break compatibility: + image filtering functions throws exception on empty input (voting results) - Packaging changes: * Stop mangling CMake diagnostic output, no dependency versions end up in the packages anyway, drop opencv-build-compare.patch * Set empty OPENCV_DOWNLOAD_TRIES_LIST, skip downloads even when network is available during builds (e.g. local build). * Drop upstream GLES patches: + 0001-Do-not-include-glx.h-when-using-GLES.patch + opencv-gles.patch OBS-URL: https://build.opensuse.org/request/show/814492 OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=15
2020-06-14 22:35:02 +02:00
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Sat Jun 13 22:03:12 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Update to 4.3.0
* DNN module:
+ Improved layers / activations / supported more models:
- ONNX: LSTM, Broadcasting, Algebra over constants, Slice with
multiple inputs
- DarkNet: grouped convolutions, sigmoid, swish, scale_channels
- MobileNet-SSD v3: #16760
+ New samples / demos:
- Clothes parts segmentation and CP-VTON
- DaSiamRPN tracker
Intel® Inference Engine backend (OpenVINO™):
- added support for custom layers through nGraph OpenVINO
API: #16628
- nGraph OpenVINO API is used by default: #16746
+ Many fixes and optimizations in CUDA backend (thanks to
@YashasSamaga)
+ OPEN AI LAB team submitted the patch that accelerates OpenCV
DNN on ARM using their Tengine library
* G-API module:
+ Introduced a new graph-level data type GOpaque<T>. This type
can be used to pass arbitrary user data types between G-API
nodes in the graph (supported for CPU/OpenCV backend only).
+ Introduced a way to declare G-API CPU (OpenCV) kernels in-place
+ Added a new sample "Privacy masking camera", combining Deep
Learning with traditional Image Processing (link)
+ Added more operations in the default library: WarpAffine,
WarpPerspective, NV12toGray.
* Performance improvements:
+ IPP-ICV library with CPU optimizations has been updated to
version 2020.0.0 Gold
+ SIMD intrinsics: integral, resize, (opencv_contrib) RLOF
implementation #2476
* And many other great contributions from OpenCV community:
+ (opencv_contrib) Computer Vision based Alpha Matting
(GSoC 2019) #2306
+ calib3d: findChessboardCornersSB improvements: #16625
+ calib3d: updated documentation for RT matrices: #16860
+ core: improved getNumberOfCPUs(): #16268
+ imgproc: new algorithm HOUGH_GRADIENT_ALT is added to
HoughCircles() function #16561. It has much better recall
and precision
+ imgcodecs: added initial support for OpenJPEG library
(version 2+): #16494
+ highgui(Qt): added Copy to clipboard: #16677
+ dnn: TensorFlow, Darknet and ONNX importers improvements
by @ashishkrshrivastava
+ (opencv_contrib) added rapid module for silhouette based 3D
object tracking: #2356
+ (opencv_contrib) SIFT detector is enabled by default due
patents expiration (without requirement of NONFREE build
option)
+ help materials: OpenCV Cheat Sheet in Python: #4875
* Changes that can potentially break compatibility:
+ image filtering functions throws exception on empty input
(voting results)
- Packaging changes:
* Stop mangling CMake diagnostic output, no dependency versions
end up in the packages anyway, drop opencv-build-compare.patch
* Set empty OPENCV_DOWNLOAD_TRIES_LIST, skip downloads even when
network is available during builds (e.g. local build).
* Drop upstream GLES patches:
+ 0001-Do-not-include-glx.h-when-using-GLES.patch
+ opencv-gles.patch
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Fri Jun 12 14:18:41 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Disable Python 2 bindings for Tumbleweed.
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Tue Jan 21 11:38:08 UTC 2020 - Dominique Leuenberger <dimstar@opensuse.org>
- Drop Jasper (i.e jpeg2k) support (boo#1130404, boo#1144260)
JasPer is unmaintained, CVEs are not being addressed (some issues
received patches submitted to the upstream github project, but are
not being merged, other CVEs are considered unfixable). openSUSE
follows other distros in dropping JasPer now (much later than
most others, incl. Debian).
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Mon Jan 20 23:22:42 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Add webp build dependency to use system libwebp instead of bundled
one.
- Enable dispatch of AVX512 optimized code.
Accepting request 759190 from home:StefanBruens:branches:science - Update to 4.2.0 * DNN module: + Integrated GSoC project with CUDA backend: #14827 + Intel® Inference Engine backend ( OpenVINO™ ): - support for nGraph OpenVINO API (preview / experimental): #15537 * G-API module: + Enabled in-graph inference: #15090. Now G-API can express more complex hybrid CV/DL algorithms; - Intel® Inference Engine backend is the only available now, support for DNN module will be added in the future releases. + Extended execution model with streaming support: #15216. Decoding, image processing, inference, and post-processing are now pipelined efficiently when processing a video stream with G-API. + Added tutorials covering these new features: Face analytics pipeline and a sample Face beautification algorithm. * Performance improvements: + SIMD intrinsics: StereoBM/StereoSGBM algorithms, resize, integral, flip, accumulate with mask, HOG, demosaic, moments + Muti-threading: pyrDown * And many other great patches from OpenCV community: + VideoCapture: video stream extraction (demuxing) through FFmpeg backend. + VideoCapture: waitAny() API for camera input multiplexing (Video4Linux through poll() calls). + (opencv_contrib) new algorithm Rapid Frequency Selective Reconstruction (FSR): #2296 + tutorial. + (opencv_contrib) RIC method for sparse match interpolation: #2367. + (opencv_contrib) LOGOS features matching strategy: #2383. * Breaking changes: + Disabled constructors for legacy C API structures. + Implementation of Thread Local Storage (TLS) has been improved to release data from terminated threads. API has been changed. + Don't define unsafe CV_XADD implementation by default. + Python conversion rules of passed arguments will be updated in next releases: #15915. OBS-URL: https://build.opensuse.org/request/show/759190 OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=10
2019-12-26 01:24:50 +01:00
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Wed Dec 25 01:25:00 UTC 2019 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Update to 4.2.0
* DNN module:
+ Integrated GSoC project with CUDA backend: #14827
+ Intel® Inference Engine backend ( OpenVINO™ ):
- support for nGraph OpenVINO API (preview / experimental): #15537
* G-API module:
+ Enabled in-graph inference: #15090. Now G-API can express more
complex hybrid CV/DL algorithms;
- Intel® Inference Engine backend is the only available now,
support for DNN module will be added in the future releases.
+ Extended execution model with streaming support: #15216. Decoding,
image processing, inference, and post-processing are now pipelined
efficiently when processing a video stream with G-API.
+ Added tutorials covering these new features: Face analytics
pipeline and a sample Face beautification algorithm.
* Performance improvements:
+ SIMD intrinsics: StereoBM/StereoSGBM algorithms, resize, integral,
flip, accumulate with mask, HOG, demosaic, moments
+ Muti-threading: pyrDown
* And many other great patches from OpenCV community:
+ VideoCapture: video stream extraction (demuxing) through
FFmpeg backend.
+ VideoCapture: waitAny() API for camera input multiplexing
(Video4Linux through poll() calls).
+ (opencv_contrib) new algorithm Rapid Frequency Selective
Reconstruction (FSR): #2296 + tutorial.
+ (opencv_contrib) RIC method for sparse match interpolation: #2367.
+ (opencv_contrib) LOGOS features matching strategy: #2383.
* Breaking changes:
+ Disabled constructors for legacy C API structures.
+ Implementation of Thread Local Storage (TLS) has been improved to
release data from terminated threads. API has been changed.
+ Don't define unsafe CV_XADD implementation by default.
+ Python conversion rules of passed arguments will be updated in
next releases: #15915.
-------------------------------------------------------------------
Sun Nov 3 19:50:04 UTC 2019 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Limit build parallelism with limit_build, some ARM and PPC workers
have a high SMP/memory ratio and run out of memory otherwise.
- Apply memory constraints (3GB) to all architectures, avoid being
scheduled on very weak workers.
Accepting request 738095 from home:StefanBruens:branches:science - Update to 4.1.2 * DNN module: + Intel Inference Engine backend (OpenVINO): - 2019R3 has been supported - Support modern IE Core API - New approach for custom layers management. Now all the OpenCV layers fallbacks are implemented as IE custom layers which helps to improve efficiency due less graph partitioning. - High-level API which introduces dnn::Model class and set of task-specific classes such dnn::ClassificationModel, dnn::DetectionModel, dnn::SegmentationModel. It supports automatic pre- and post-processing for deep learning networks. * Performance improvements and platforms support: + MSA SIMD implementation has been contributed for MIPS platforms: https://github.com/opencv/opencv/pull/15422 + OpenCV.js optimization (threading and SIMD as part of GSoC project): https://github.com/opencv/opencv/pull/15371 + More optimizations using SIMD intrinsics: dotProd, FAST corners, HOG, LK pyramid (VSX), norm, warpPerspective, etc + Fixed detection of Cascade Lake CPUs * And many other great patches from OpenCV community: + GUI: support topmost window mode (Win32/COCOA): https://github.com/opencv/opencv/pull/14872 + Java: fix Mat.toString() for higher dimensions: https://github.com/opencv/opencv/pull/15181 + Implementation of colormap "Turbo" https://github.com/opencv/opencv/pull/15388 + QR-Code detection accuracy improvement: https://github.com/opencv/opencv/pull/15356 + GSoC: Add learning-based super-resolution module: https://github.com/opencv/opencv_contrib/pull/2229 and https://github.com/opencv/opencv_contrib/pull/2231 + Detection accuracy improvement of the white marker aruco corners: https://github.com/opencv/opencv_contrib/pull/2236 + Added pattern generator tool for aruco: https://github.com/opencv/opencv_contrib/pull/2250 + and special thanks to @sturkmen72 for improvind and cleaning up code of samples/tutorials * Breaking changes: + fixed values thresholding accuracy in calcHist() - Enable Graph API (G-API) - Minor spec file cleanup OBS-URL: https://build.opensuse.org/request/show/738095 OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=7
2019-10-13 13:42:06 +02:00
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Sat Oct 12 23:12:21 UTC 2019 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Update to 4.1.2
* DNN module:
+ Intel Inference Engine backend (OpenVINO):
- 2019R3 has been supported
- Support modern IE Core API
- New approach for custom layers management. Now all the OpenCV
layers fallbacks are implemented as IE custom layers which
helps to improve efficiency due less graph partitioning.
- High-level API which introduces dnn::Model class and set of
task-specific classes such dnn::ClassificationModel,
dnn::DetectionModel, dnn::SegmentationModel. It supports
automatic pre- and post-processing for deep learning networks.
* Performance improvements and platforms support:
+ MSA SIMD implementation has been contributed for MIPS platforms:
https://github.com/opencv/opencv/pull/15422
+ OpenCV.js optimization (threading and SIMD as part of GSoC
project): https://github.com/opencv/opencv/pull/15371
+ More optimizations using SIMD intrinsics: dotProd, FAST corners,
HOG, LK pyramid (VSX), norm, warpPerspective, etc
+ Fixed detection of Cascade Lake CPUs
* And many other great patches from OpenCV community:
+ GUI: support topmost window mode (Win32/COCOA):
https://github.com/opencv/opencv/pull/14872
+ Java: fix Mat.toString() for higher dimensions:
https://github.com/opencv/opencv/pull/15181
+ Implementation of colormap "Turbo"
https://github.com/opencv/opencv/pull/15388
+ QR-Code detection accuracy improvement:
https://github.com/opencv/opencv/pull/15356
+ GSoC: Add learning-based super-resolution module:
https://github.com/opencv/opencv_contrib/pull/2229 and
https://github.com/opencv/opencv_contrib/pull/2231
+ Detection accuracy improvement of the white marker aruco
corners: https://github.com/opencv/opencv_contrib/pull/2236
+ Added pattern generator tool for aruco:
https://github.com/opencv/opencv_contrib/pull/2250
+ and special thanks to @sturkmen72 for improvind and cleaning
up code of samples/tutorials
* Breaking changes:
+ fixed values thresholding accuracy in calcHist()
* Security fixes: CVE-2019-15939 (boo#1149742).
Accepting request 738095 from home:StefanBruens:branches:science - Update to 4.1.2 * DNN module: + Intel Inference Engine backend (OpenVINO): - 2019R3 has been supported - Support modern IE Core API - New approach for custom layers management. Now all the OpenCV layers fallbacks are implemented as IE custom layers which helps to improve efficiency due less graph partitioning. - High-level API which introduces dnn::Model class and set of task-specific classes such dnn::ClassificationModel, dnn::DetectionModel, dnn::SegmentationModel. It supports automatic pre- and post-processing for deep learning networks. * Performance improvements and platforms support: + MSA SIMD implementation has been contributed for MIPS platforms: https://github.com/opencv/opencv/pull/15422 + OpenCV.js optimization (threading and SIMD as part of GSoC project): https://github.com/opencv/opencv/pull/15371 + More optimizations using SIMD intrinsics: dotProd, FAST corners, HOG, LK pyramid (VSX), norm, warpPerspective, etc + Fixed detection of Cascade Lake CPUs * And many other great patches from OpenCV community: + GUI: support topmost window mode (Win32/COCOA): https://github.com/opencv/opencv/pull/14872 + Java: fix Mat.toString() for higher dimensions: https://github.com/opencv/opencv/pull/15181 + Implementation of colormap "Turbo" https://github.com/opencv/opencv/pull/15388 + QR-Code detection accuracy improvement: https://github.com/opencv/opencv/pull/15356 + GSoC: Add learning-based super-resolution module: https://github.com/opencv/opencv_contrib/pull/2229 and https://github.com/opencv/opencv_contrib/pull/2231 + Detection accuracy improvement of the white marker aruco corners: https://github.com/opencv/opencv_contrib/pull/2236 + Added pattern generator tool for aruco: https://github.com/opencv/opencv_contrib/pull/2250 + and special thanks to @sturkmen72 for improvind and cleaning up code of samples/tutorials * Breaking changes: + fixed values thresholding accuracy in calcHist() - Enable Graph API (G-API) - Minor spec file cleanup OBS-URL: https://build.opensuse.org/request/show/738095 OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=7
2019-10-13 13:42:06 +02:00
- Enable Graph API (G-API)
- Minor spec file cleanup
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Wed Aug 28 15:05:46 UTC 2019 - Marius Kittler <marius.kittler@suse.com>
- Include pkg-config file in opencv-devel package
* Add opencv-includedir.patch
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Tue Aug 27 10:23:45 UTC 2019 - Jan Engelhardt <jengelh@inai.de>
- Avoid use of ®/™ signs in specfiles as per guidelines.
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Mon Aug 19 11:13:05 UTC 2019 - Jonathan Brielmaier <jbrielmaier@suse.de>
- Disable LTO on ppc64le for now, as it fails to build when enabled
(boo#1146096).
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Sat Aug 10 21:45:53 UTC 2019 - Christophe Giboudeaux <christophe@krop.fr>
- Increase the disk space needed to build opencv.
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Fri Aug 9 19:56:24 UTC 2019 - Christophe Giboudeaux <christophe@krop.fr>
- Update to 4.1.1
* DNN module:
* 3D convolution networks initial support
* A lot of improvements for ONNX and TenforFlow importers
* Performance improvements
* Added IPPE method for planar pose estimation in solvePnP
* Added solvePnPRefineLM and solvePnPRefineVVS
* Security fixes: CVE-2019-14491 (boo#1144352), CVE-2019-14492
(boo#1144348).
- Check https://github.com/opencv/opencv/wiki/ChangeLog#version411 for the
complete list of changes.
- Drop fix_processor_detection_for_32bit_on_64bit.patch. Fixed upstream
- Drop 0001-Handle-absolute-OPENCV_INCLUDE_INSTALL_PATH-correctl.patch
Fixed upstream
- Refresh 0001-Do-not-include-glx.h-when-using-GLES.patch and
opencv-build-compare.patch.
Accepting request 714221 from science - Update to version 4.1.0 * DNN module: + Reduced peak memory consumption for some models up to 30%. + Inference Engine - Inference Engine 2018R3 is now a minimal supported version of IE. - Myriad X (Intel® Neural Compute Stick 2) is now supported and tested. - Automatic IR network reshaping for different inputs. - Improved samples to work with models from OpenVINO Open Model Zoo + New networks from TensorFlow Object Detection API: Faster-RCNNs, SSDs and Mask-RCNN with dilated convolutions, FPN SSD * Performance improvements: + More optimization using AVX2 instruction set. + Automatic runtime dispatching is available for large set of functions from core and imgproc modules. * Other improvements: + Matplotlib Perceptually Uniform Sequential colormaps + Add keypoints matching visualization for real-time pose estimation tutorial + Add Hand-Eye calibration methods + Java: improved support for multidimensional arrays (Mat) + Dynamically loaded videoio backends (FFmpeg, GStreamer) + opencv_contrib: Robust local optical flow (RLOF) implementations + opencv_contrib: Implementation of Quasi Dense Stereo algorithm + opencv_contrib: New module: Image Quality Analysis (IQA) API + opencv_contrib: BRISQUE No Reference Image Quality Assessment (IQA) API Check https://github.com/opencv/opencv/wiki/ChangeLog#version410 - Update to version 4.0.0 * A lot of C API from OpenCV 1.x has been removed. The affected modules are objdetect, photo, video, videoio, imgcodecs, calib3d. * Persistence (storing and loading structured data to/from XML, YAML or JSON) in the core module has been completely reimplemented. * OpenCV is now C++11 library and requires C++11-compliant compiler. Thanks to the extended C++11 standard library, we could get rid of hand-crafted cv::String and cv::Ptr. Now cv::String == std::string and cv::Ptr is a thin wrapper on top of std::shared_ptr. Also, on Linux/BSD for cv::parallel_for_ we now use std::thread's instead of pthreads. * DNN improvements * Completely new module opencv_gapi has been added. It is the engine for very efficient image processing, based on lazy evaluation and on-fly construction. * Performance improvements A few hundreds of basic kernels in OpenCV have been rewritten using so-called "wide universal intrinsics". Those intrinsics map to SSE2, SSE4, AVX2, NEON or VSX intrinsics, depending on the target platform and the compile flags. * QR code detector and decoder have been added to opencv/objdetect module. * The popular Kinect Fusion algorithm has been implemented, optimized for CPU and GPU (OpenCL), and integrated into opencv_contrib/rgbd module. * Very efficient and yet high-quality DIS dense optical flow algorithm has been moved from opencv_contrib to opencv, video module. See the example. * The slower TV L1 optical flow algorithm has been moved to opencv_contrib. Check https://github.com/opencv/opencv/wiki/ChangeLog#version400 - Drop obsolete opencv-lib_suffix.patch - Add 0001-Handle-absolute-OPENCV_INCLUDE_INSTALL_PATH-correctl.patch - As this is a major version upgrade, the old 3.4.x package is still available as opencv3 - Update to 3.4.3 * Compatibility fixes with python 3.7 * Added a new computational target DNN_TARGET_OPENCL_FP16 * Extended support of Intel's Inference Engine backend * Enabled import of Intel's OpenVINO pre-trained networks from intermediate representation (IR). * tutorials improvements Check https://github.com/opencv/opencv/wiki/ChangeLog#version343 for the complete changelog. - Drop fix-build-i386-nosse.patch, build-workaround-issues-with-c.patch (fixed upstream) - Refresh patches - Add patch to fix use of headers from C: * build-workaround-issues-with-c.patch - Update to 3.4.1: * Added support for quantized TensorFlow networks * OpenCV is now able to use Intel DL inference engine as DNN acceleration backend * Added AVX-512 acceleration to the performance-critical kernels * For more information, read https://github.com/opencv/opencv/wiki/ChangeLog#version341 - Update contrib modules to 3.4.1: * No changelog available - Change mechanism the contrib modules are built - Include LICENSE of contrib tarball as well - Build with python3 on >= 15 - Add patch to fix build on i386 without SSE: * fix-build-i386-nosse.patch - Refresh patches: * fix_processor_detection_for_32bit_on_64bit.patch * opencv-build-compare.patch - Mention all libs explicitly - Rebase 3.4.0 update from i@marguerite.su - update to 3.4.0 * Added faster R-CNN support * Javascript bindings have been extended to cover DNN module * DNN has been further accelerated for iGPU using OpenCL * On-disk caching of precompiled OpenCL kernels has been finally implemented * possible to load and run pre-compiled OpenCL kernels via T-API * Bit-exact 8-bit and 16-bit resize has been implemented (currently supported only bilinear interpolation) - update face module to 3.4.0 - add opencv-lib_suffix.patch, remove LIB_SUFFIX from OPENCV_LIB_INSTALL_PATH, as CMAKE_INSTALL _LIBDIR is arch dependent. - Add option to build without openblas - Add conditionals for python2 and python3 to allow us enabling only desired python variants when needed - Do not depend on sphinx as py2 and py3 seem to collide there - Readd opencv-gles.patch, it is *not* included upstream; otherwise build breaks on all GLES Qt5 platforms (armv6l, armv7l, aarch64) - add fix_processor_detection_for_32bit_on_64bit.patch - Correctly set optimizations and dynamic dispatch on ARM, use OpenCV 3.3 syntax on x86. - Update licensing information - change requires of python-numpy-devel to build in Leap and to not break factory in future - fix build error/unresolvable for Leap 42.2 and 42.3 - Update to version 3.3.1: * Lots of various bugfixes - Update source url - Rename python subpackage to python2 - Do not explicitly require python-base for python subpackages - Update to 3.3 - Dropped obsolete patches * opencv-gcc6-fix-pch-support-PR8345.patch * opencv-gles.patch - Updated opencv-build-compare.patch - Add 0001-Do-not-include-glx.h-when-using-GLES.patch Fix build for 32bit ARM, including both GLES and desktop GL headers causes incompatible pointer type errors - Add conditional for the qt5/qt4 integration * This is used only for gui tools, library is not affected - Add provides/obsoletes for the qt5 packages to allow migration - Drop patch opencv-qt5-sobump.diff * Used only by the obsoleted qt5 variant - Cleanup a bit with spec-cleaner - Use %cmake macros - Remove the conditions that are not really needed - Add tests conditional disabled by default * Many tests fail and there are missing testdata - Switch to pkgconfig style dependencies - Update to OpenCV 3.2.0 - Results from 11 GSoC 2016 projects have been submitted to the library: + sinusoidal patterns for structured light and phase unwrapping module [Ambroise Moreau (Delia Passalacqua)] + DIS optical flow (excellent dense optical flow algorithm that is both significantly better and significantly faster than Farneback’s algorithm – our baseline), and learning-based color constancy algorithms implementation [Alexander Bokov (Maksim Shabunin)] + CNN based tracking algorithm (GOTURN) [Tyan Vladimir (Antonella Cascitelli)] + PCAFlow and Global Patch Collider algorithms implementation [Vladislav Samsonov (Ethan Rublee)] + Multi-language OpenCV Tutorials in Python, C++ and Java [João Cartucho (Vincent Rabaud)] + New camera model and parallel processing for stitching pipeline [Jiri Horner (Bo Li)] + Optimizations and improvements of dnn module [Vitaliy Lyudvichenko (Anatoly Baksheev)] + Base64 and JSON support for file storage. Use names like “myfilestorage.xml?base64” when writing file storage to store big chunks of numerical data in base64-encoded form. [Iric Wu (Vadim Pisarevsky)] + tiny_dnn improvements and integration [Edgar Riba (Manuele Tamburrano, Stefano Fabri)] + Quantization and semantic saliency detection with tiny_dnn [Yida Wang (Manuele Tamburrano, Stefano Fabri)] + Word-spotting CNN based algorithm [Anguelos Nicolaou (Lluis Gomez)] - Contributions besides GSoC: + Greatly improved and accelerated dnn module in opencv_contrib: - Many new layers, including deconvolution, LSTM etc. - Support for semantic segmentation and SSD networks with samples. - TensorFlow importer + sample that runs Inception net by Google. + More image formats and camera backends supported + Interactive camera calibration app + Multiple algorithms implemented in opencv_contrib + Supported latest OSes, including Ubuntu 16.04 LTS and OSX 10.12 + Lot’s of optimizations for IA and ARM archs using parallelism, vector instructions and new OpenCL kernels. + OpenCV now can use vendor-provided OpenVX and LAPACK/BLAS (including Intel MKL, Apple’s Accelerate, OpenBLAS and Atlas) for acceleration - Refreshed opencv-build-compare.patch - Dropped upstream opencv-gcc5.patch - Replace opencv-gcc6-disable-pch.patch with upstream patch opencv-gcc6-fix-pch-support-PR8345.patch - Enable TBB support (C++ threading library) - Add dependency on openBLAS - Enable ffmpeg support unconditional - In case we build using GCC6 (or newer), add -mlra to CFLAGS to workaround gcc bug https://gcc.gnu.org/bugzilla/show_bug.cgi?id=71294. - Apply upstream patch opencv-gcc6-disable-pch.patch to disable PCH for GCC6. - Test for python versions greater than or equal to the current version. - Add python 3 support - Added opencv_contrib_face-3.1.0.tar.bz2 * This tarball is created to take only the face module from the contrib package. The Face module is required by libkface, which in its turn is required by digikam. - Added _constraints file to avoid random failures on small workers (at least for builds on PMBS) - Update to OpenCV 3.1.0 - A lot of new functionality has been introduced during Google Summer of Code 2015: + “Omnidirectional Cameras Calibration and Stereo 3D Reconstruction” – opencv_contrib/ccalib module (Baisheng Lai, Bo Li) + “Structure From Motion” – opencv_contrib/sfm module (Edgar Riba, Vincent Rabaud) + “Improved Deformable Part-based Models” – opencv_contrib/dpm module (Jiaolong Xu, Bence Magyar) + “Real-time Multi-object Tracking using Kernelized Correlation Filter” – opencv_contrib/tracking module (Laksono Kurnianggoro, Fernando J. Iglesias Garcia) + “Improved and expanded Scene Text Detection” – opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky) + “Stereo correspondence improvements” – opencv_contrib/stereo module (Mircea Paul Muresan, Sergei Nosov) + “Structured-Light System Calibration” – opencv_contrib/structured_light (Roberta Ravanelli, Delia Passalacqua, Stefano Fabri, Claudia Rapuano) + “Chessboard+ArUco for camera calibration” – opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski) + “Implementation of universal interface for deep neural network frameworks” – opencv_contrib/dnn module (Vitaliy Lyudvichenko, Anatoly Baksheev) + “Recent advances in edge-aware filtering, improved SGBM stereo algorithm” – opencv/calib3d and opencv_contrib/ximgproc (Alexander Bokov, Maksim Shabunin) + “Improved ICF detector, waldboost implementation” – opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin) + “Multi-target TLD tracking” – opencv_contrib/tracking module (Vladimir Tyan, Antonella Cascitelli) + “3D pose estimation using CNNs” – opencv_contrib/cnn_3dobj (Yida Wang, Manuele Tamburrano, Stefano Fabri) - Many great contributions made by the community, such as: + Support for HDF5 format + New/Improved optical flow algorithms + Multiple new image processing algorithms for filtering, segmentation and feature detection + Superpixel segmentation and much more - IPPICV is now based on IPP 9.0.1, which should make OpenCV even faster on modern Intel chips - opencv_contrib modules can now be included into the opencv2.framework for iOS - Newest operating systems are supported: Windows 10 and OSX 10.11 (Visual Studio 2015 and XCode 7.1.1) - Interoperability between T-API and OpenCL, OpenGL, DirectX and Video Acceleration API on Linux, as well as Android 5 camera. - HAL (Hardware Acceleration Layer) module functionality has been moved into corresponding basic modules; the HAL replacement mechanism has been implemented along with the examples - Removed improve-sphinx-search.diff, opencv-altivec-vector.patch, opencv-pkgconfig.patch and opencv-samples.patch, fixed upstream. - Fixed opencv-qt5-sobump.diff, opencv-build-compare.patch, opencv-gcc5.patch and opencv-gles.patch. - Version OpenCV 3.0.0 + ~1500 patches, submitted as PR @ github. All our patches go the same route. + opencv_contrib (http://github.com/itseez/opencv_contrib) repository has been added. A lot of new functionality is there already! opencv_contrib is only compatible with 3.0/master, not 2.4. Clone the repository and use “cmake … -D OPENCV_EXTRA_MODULES_PATH=<path_to opencv_contrib/modules> …” to build opencv and opencv_contrib together. + a subset of Intel IPP (IPPCV) is given to us and our users free of charge, free of licensing fees, for commercial and non-commerical use. It’s used by default in x86 and x64 builds on Windows, Linux and Mac. + T-API (transparent API) has been introduced, this is transparent GPU acceleration layer using OpenCL. It does not add any compile-time or runtime dependency of OpenCL. When OpenCL is available, it’s detected and used, but it can be disabled at compile time or at runtime. It covers ~100 OpenCV functions. This work has been done by contract and with generous support from AMD and Intel companies. + ~40 OpenCV functions have been accelerated using NEON intrinsics and because these are mostly basic functions, some higher-level functions got accelerated as well. + There is also new OpenCV HAL layer that will simplifies creation of NEON-optimized code and that should form a base for the open-source and proprietary OpenCV accelerators. + The documentation is now in Doxygen: http://docs.opencv.org/master/ + We cleaned up API of many high-level algorithms from features2d, calib3d, objdetect etc. They now follow the uniform “abstract interface – hidden implementation” pattern and make extensive use of smart pointers (Ptr<>). + Greatly improved and extended Python & Java bindings (also, see below on the Python bindings), newly introduced Matlab bindings (still in alpha stage). + Improved Android support – now OpenCV Manager is in Java and supports both 2.4 and 3.0. + Greatly improved WinRT support, including video capturing and multi-threading capabilities. Thanks for Microsoft team for this! + Big thanks to Google who funded several successive GSoC programs and let OpenCV in. The results of many successful GSoC 2013 and 2014 projects have been integrated in opencv 3.0 and opencv_contrib (earlier results are also available in OpenCV 2.4.x). We can name: - text detection - many computational photography algorithms (HDR, inpainting, edge-aware filters, superpixels, …) - tracking and optical flow algorithms - new features, including line descriptors, KAZE/AKAZE - general use optimization (hill climbing, linear programming) - greatly improved Python support, including Python 3.0 support, many new tutorials & samples on how to use OpenCV with Python. - 2d shape matching module and 3d surface matching module - RGB-D module - VTK-based 3D visualization module - etc. + Besides Google, we enjoyed (and hope that you will enjoy too) many useful contributions from community, like: - biologically inspired vision module - DAISY features, LATCH descriptor, improved BRIEF - image registration module - etc. - Reduce build-compare noise opencv-build-compare.patch - Remove BuildRequirement for python-sphinx in SLE12, since it's not available there and it's not a mandatory requirement. - Reduce differences between two spec files - Use pkgconfig for ffmpeg BuildRequires - Update improve-sphinx-search.diff for new python-Sphinx(1.3.1) * now that sphinx-build disallow executing without arguments and give you "Insufficient arguments" error, use "sphinx-build -h" instead * the default usages output ie. sphinx-build(or --help) no longer are standard error but standard output, drop OUTPUT_QUIET and add OUTPUT_VARIABLE throws the output to SPHINX_OUTPUT as well - support gcc 5 (i.e. gcc versions without minor version): opencv-gcc5.patch - Update to OpenCV 2.4.11 - can't find NEWS or Changelog merely collecting bug fixes while 3.0 is in the making, 2.4.11 didn't even make it on their web page, it's only on download server - remove opencv-underlinking.patch as obsolete - remove upstream patch bomb_commit_gstreamer-1x-support.patch - commenting out opencv-pkgconfig.patch - possibly it requires a rebase, but the problem it tries to solve is unclear - Add specific buildrequires for libpng15, so that we are building against the system provided libpng. - Update to OpenCV 2.4.9 More info at: http://opencv.org/opencv-2-4-9-is-out.html The brief list of changes: * new 3D visualization module ‘viz’; * performance fixes in ‘ocl’ module; * fixes in Android Camera; * improved CUDA support for mobile platforms; * bugfixes from community; * 55 reported bugs have been closed; * 156 pull requests have been merged. - Drop the BuildRequires on libucil and libunicap for Factory. This stops us from getting ride of Gstreamer 0.10 and besides these two libraries seem to be unmaintained upstream as that the latest actions are from 2010 - Add upstream patch (3.0 version) to support Gstreamer 1.x * bomb_commit_gstreamer-1x-support.patch - Upstream now provides tarballs with source only as git tags from github so update Source0 path. - Add requires on various X extensions linked to opencv_ts module. As those are present in the .pc file we need it anyway. - Update to OpenCV 2.4.8 More info at: http://opencv.org/opencv-2-4-8.html The brief list of changes: * NVidia CUDA support on Android devices with CUDA capable SoC and CUDA sample; * Concurrent kernel execution and user defined context support for OpenCL; * Integration with Intel Perceptual SDK and new depth sensors support for Windows; * 32 reported bugs have been closed; * 139 pull requests have been merged; - Fix build with altivec: opencv-altivec-vector.patch - Added opencv-pkgconfig.patch: make sure to provide link flags in OpenCV pc file (bnc#853036) - Update to OpenCV 2.4.7 More info at: http://opencv.org/opencv-2-4-7-is-out.html The brief list of changes: * dynamic OpenCL runtime loading, setting default OpenCL device via env var, many bug-fixes and some new optimization with OpenCL * bug-fixes and new optimizations in CUDA stuff * latest NDK and Android OS support, Native Android Camera tuning * minor fixes, XAML sample and MS Certification compatibility in WinRT stuff * 382 pull requests have been merged * 54 reported bugs have been fixed - Added pkgconfig(glu) Requires to devel package, as per .pc file - Make devel package provides also devel-static one - Drop assume-Sphinx-is-there.diff, and add improve-sphinx-search.diff, for properly finding sphinx with alphabetic chars in version - Add patch assume-Sphinx-is-there.diff to fix building with Sphinx versions that have alphanumeric characters in the version (Only for factory builds at the moment) - Use eigen3 instead of eigen2 as build requirement for openSUSE > 12.3. - Enable compilation with libucil and libunicap. - Removed dos2unix build requirement (not needed anymore). - Update to OpenCV 2.4.6.1 More info at: http://opencv.org/opencv-2-4-6-is-out.html The brief list of changes: * added video file i/o Windows RT and sample application using camera, enabled parallelization with TBB or MS Concurrency * added CUDA 5.5 support for desktop and ARM systems * added Qt 5 support * added many new OpenCL algorithms ports, included OpenCL binaries into the Windows superpack * iOS build scripts (together with Android ones) moved to ‘opencv/platforms’ directory * added functions for UIImage <-> cv::Mat conversion * correct front/back camera selection in Android app framework * added Linaro NDK support and fixes for MIPS to Android CMake toolchain * stability has been improved by a lot, numerous bug-fixes across all the library - build with LFS_CFLAGS in 32 bit archs. - Disable SSE3 for all architectures (bnc#814333) - Disable SSE(2) on non x86_64 architectures, causes crashing kde#276923, bnc#789173 - Update to OpenCV 2.4.5 More info at: http://opencv.org/opencv-2-4-5-is-out.html The brief list of changes: * experimental WinRT support * new video super-resolution module * CLAHE (adaptive histogram equalization) algorithm on both CPU and GPU * further improvements and extensions in ocl module (stereo block matching and belief propagation have been added, fixed crashes on Intel HD4000) * Visual Studio 2012 cv::Mat visualizer plugin debugger tutorial from Microsoft Research * OpenCV4Android SDK improvements (NDK r8e support, native activity sample using OpenCV Manager, bug-fixes) * ~25 reported problems have been resolved since 2.4.4, ~78 pull requests have been merged, thanks everybody who participated! - Update to OpenCV 2.4.4 More info at: http://opencv.org/opencv-2-4-4-is-out.html The brief list of changes: * OpenCV Java bindings are ported from Android to desktop Java! Actually any JVM language will work, see Tutorial for details, and Java or Scala code samples. * Android application framework, samples, tutorials, and OpenCV Manager are improved. * Optimizations for the new NVIDIA Kepler architecture, CARMA platform support and other new optimizations in CUDA. * OpenCL module now builds successfully with various SDKs (from AMD, NVIDIA, Intel and Apple) and runs well on different GPUs (AMD, NVidia, Intel HD4000). A lot of new functionality has been added, tons of bugs fixed, performance of many functions has been significantly improved. * 100+ reported problems have been resolved since 2.4.3, thanks everybody who participated! - Drop the buildrequire for libxine - Update to OpenCV 2.4.3 More info at: http://opencv.org/opencv-2-4-3-released.html The nicely formatted changelog can be seen here: http://code.opencv.org/projects/opencv/wiki/ChangeLog; here are the highlights: * A lot of good stuff from the Google Summer of Code 2012 has been integrated; this was a very productive summer! * Significantly improved and optimized Android and iOS ports. * Greatly extended GPU (i.e. CUDA-based) module. * The brand new ocl (OpenCL-based) module that unleashes GPU power also for AMD and Intel GPU users. It’s not included into the binary package, since there are different SDKs, and it’s not turned on by default. You need to run CMake and turn on “WITH_OPENCL”. Also, please note that this is very first version of the module, so it may be not very stable and not very functional. * Much better performance on many-core systems out of the box. You do not need TBB anymore on MacOSX, iOS and Windows. BTW, the binary package for Windows is now built without TBB support. Libraries and DLLs for Visual Studio 2010 use the Concurrency framework. * About 130 bugs have been fixed since 2.4.2. * Since 2.4.3rc we fixed several more problems, in particular some compile problems with iOS 6 SDK. - buildrequire glu - Update to OpenCV 2.4.2 More info at: http://code.opencv.org/projects/opencv/wiki/ChangeLog - Drop opencv-datadir.patch to comply with upstream directory layout - Update to OpenCV 2.4.1 More info at: http://code.opencv.org/projects/opencv/wiki/ChangeLog - Update to OpenCV 2.4.0 More info at: http://code.opencv.org/projects/opencv/wiki/ChangeLog - Add opencv-gcc47.patch: Fix build with gcc 4.7. - Use Explicit Buildrequires on several needed libraries future dependency cleanups may/will cause build to fail otherwise. - Add upstream r6881 to fix clang compatibility - uncomment libraries not in 12.1 for now - Changed groups (fix for RPMLINT warning) - Added check for duplicate files (fix for RPMLINT warning) - Added py_requires macros and python-base dependencies (fix for RPMLINT warning) - Escaped macros (fix for RPMLINT warning) - Fixed end-of-line encoding problems (fix for RPMLINT warning) - Added libeigen2-devel buildrequires - Added libunicap and libucil buildrequires (libunicap supports requires libucil) - Cleaned up spec file formatting - Dropped opencv-2.3-ffmpeg.patch, applied upstream - Revive opencv-2.3-ffmpeg.patch, needs rebase - Tag all patches according to openSUSE packaging guidelines - Removed opencv-2.3-cmake.patch, old cmake cannot be used any more. - Python bindings cannot be built without NumPy any more. - Update to OpenCV 2.3.1 - Update and readd opencv-2.3-underlinking.patch since it is still necessary. - Fix support for new ffmpeg versions - Removed unnecessary patches - Enable Python NumPy support on openSUSE 11.2 - Build Qt instead of Gtk GUI - Fix cmake files for openSUSE 11.1 - No GStreamer support on openSUSE 11.1 - Update to OpenCV 2.3.0. More info at: http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs - Fix build on openSUSE 11.2 - Add opencv-v4l-2.6.38.patch: use the new libv4l2 interface - Enable Python NumPy support - SWIG is not required any more - Enable OpenEXR support - Update to OpenCV 2.2.0. More info at: http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs - Use system zlib, oh, and do not export ZLIB symbols to other applications, clashes ensued. - fix build with gcc 4.6 - add -underlinking patch - devel package renamed to opencv-devel, so that switching between OBS and packman opencv packages is easier - fix gstreamer support - fix xine support - fix some rpmlint warnings - fix shared libraries permissions - Do not waste resources building the tests as we do not run them - Do not disable SSE,SSE2,etc. According to OpenCV changelog, it should be safe to leave these enabled. - fix build on openSUSE 11.0 - Update to OpenCV 2.1.0: * The whole OpenCV is now using exceptions instead of the old libc-style mechanism * Experimental "static" OpenCV configuration in CMake was contributed by Jose Luis Blanco. Pass "BUILD_SHARED_LIBS=OFF" to CMake to build OpenCV statically. * new improved version of one-way descriptor is added * User can now control the image areas visible after the stereo rectification * Fullscreen has been added (thanks to Yannick Verdie). * Further info at: http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs - fix build with libpng14 - small spec file cleanup - Moved to the KDE repositories to enable inclusion in kipi-plugins - Initial package OBS-URL: https://build.opensuse.org/request/show/714221 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/opencv?expand=0&rev=73
2019-07-17 13:13:58 +02:00
-------------------------------------------------------------------
Tue Jul 2 23:06:30 UTC 2019 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Update to version 4.1.0
* DNN module:
+ Reduced peak memory consumption for some models up to 30%.
+ Inference Engine
- Inference Engine 2018R3 is now a minimal supported version of IE.
- Myriad X (Intel® Neural Compute Stick 2) is now supported and tested.
- Automatic IR network reshaping for different inputs.
- Improved samples to work with models from OpenVINO Open Model Zoo
+ New networks from TensorFlow Object Detection API: Faster-RCNNs, SSDs
and Mask-RCNN with dilated convolutions, FPN SSD
* Performance improvements:
+ More optimization using AVX2 instruction set.
+ Automatic runtime dispatching is available for large set of functions
from core and imgproc modules.
* Other improvements:
+ Matplotlib Perceptually Uniform Sequential colormaps
+ Add keypoints matching visualization for real-time pose estimation tutorial
+ Add Hand-Eye calibration methods
+ Java: improved support for multidimensional arrays (Mat)
+ Dynamically loaded videoio backends (FFmpeg, GStreamer)
+ opencv_contrib: Robust local optical flow (RLOF) implementations
+ opencv_contrib: Implementation of Quasi Dense Stereo algorithm
+ opencv_contrib: New module: Image Quality Analysis (IQA) API
+ opencv_contrib: BRISQUE No Reference Image Quality Assessment (IQA) API
Check https://github.com/opencv/opencv/wiki/ChangeLog#version410
- Update to version 4.0.0
* A lot of C API from OpenCV 1.x has been removed. The affected modules are
objdetect, photo, video, videoio, imgcodecs, calib3d.
* Persistence (storing and loading structured data to/from XML, YAML or JSON)
in the core module has been completely reimplemented.
* OpenCV is now C++11 library and requires C++11-compliant compiler.
Thanks to the extended C++11 standard library, we could get rid of hand-crafted
cv::String and cv::Ptr. Now cv::String == std::string and cv::Ptr is a thin
wrapper on top of std::shared_ptr. Also, on Linux/BSD for cv::parallel_for_
we now use std::thread's instead of pthreads.
* DNN improvements
* Completely new module opencv_gapi has been added. It is the engine for very
efficient image processing, based on lazy evaluation and on-fly construction.
* Performance improvements
A few hundreds of basic kernels in OpenCV have been rewritten using so-called
"wide universal intrinsics". Those intrinsics map to SSE2, SSE4, AVX2, NEON or
VSX intrinsics, depending on the target platform and the compile flags.
* QR code detector and decoder have been added to opencv/objdetect module.
* The popular Kinect Fusion algorithm has been implemented, optimized for CPU and
GPU (OpenCL), and integrated into opencv_contrib/rgbd module.
* Very efficient and yet high-quality DIS dense optical flow algorithm has been
moved from opencv_contrib to opencv, video module. See the example.
* The slower TV L1 optical flow algorithm has been moved to opencv_contrib.
Check https://github.com/opencv/opencv/wiki/ChangeLog#version400
- Drop obsolete opencv-lib_suffix.patch
- Add 0001-Handle-absolute-OPENCV_INCLUDE_INSTALL_PATH-correctl.patch
- As this is a major version upgrade, the old 3.4.x package is still
available as opencv3
-------------------------------------------------------------------
Mon Oct 29 10:22:25 UTC 2018 - Christophe Giboudeaux <christophe@krop.fr>
- Update to 3.4.3
* Compatibility fixes with python 3.7
* Added a new computational target DNN_TARGET_OPENCL_FP16
* Extended support of Intel's Inference Engine backend
* Enabled import of Intel's OpenVINO pre-trained networks from
intermediate representation (IR).
* tutorials improvements
Check https://github.com/opencv/opencv/wiki/ChangeLog#version343
for the complete changelog.
- Drop fix-build-i386-nosse.patch, build-workaround-issues-with-c.patch
(fixed upstream)
- Refresh patches
-------------------------------------------------------------------
Tue May 29 08:26:53 UTC 2018 - fabian@ritter-vogt.de
- Add patch to fix use of headers from C:
* build-workaround-issues-with-c.patch
-------------------------------------------------------------------
Mon May 28 11:04:23 UTC 2018 - fvogt@suse.com
- Update to 3.4.1:
* Added support for quantized TensorFlow networks
* OpenCV is now able to use Intel DL inference engine as DNN
acceleration backend
* Added AVX-512 acceleration to the performance-critical kernels
* Fix cmake mapping of RelWithDebInfo (boo#1154091).
* For more information, read
https://github.com/opencv/opencv/wiki/ChangeLog#version341
- Update contrib modules to 3.4.1:
* No changelog available
- Change mechanism the contrib modules are built
- Include LICENSE of contrib tarball as well
- Build with python3 on >= 15
- Add patch to fix build on i386 without SSE:
* fix-build-i386-nosse.patch
- Refresh patches:
* fix_processor_detection_for_32bit_on_64bit.patch
* opencv-build-compare.patch
- Mention all libs explicitly
- Rebase 3.4.0 update from i@marguerite.su
- update to 3.4.0
* Added faster R-CNN support
* Javascript bindings have been extended to
cover DNN module
* DNN has been further accelerated for iGPU
using OpenCL
* On-disk caching of precompiled OpenCL
kernels has been finally implemented
* possible to load and run pre-compiled
OpenCL kernels via T-API
* Bit-exact 8-bit and 16-bit resize has been
implemented (currently supported only
bilinear interpolation)
- update face module to 3.4.0
- add opencv-lib_suffix.patch, remove LIB_SUFFIX
from OPENCV_LIB_INSTALL_PATH, as CMAKE_INSTALL
_LIBDIR is arch dependent.
-------------------------------------------------------------------
Mon Mar 12 08:48:12 UTC 2018 - schwab@suse.de
- Add option to build without openblas
-------------------------------------------------------------------
Mon Jan 8 09:35:37 UTC 2018 - tchvatal@suse.com
- Add conditionals for python2 and python3 to allow us enabling
only desired python variants when needed
- Do not depend on sphinx as py2 and py3 seem to collide there
-------------------------------------------------------------------
Sat Nov 25 14:29:14 UTC 2017 - stefan.bruens@rwth-aachen.de
- Readd opencv-gles.patch, it is *not* included upstream; otherwise
build breaks on all GLES Qt5 platforms (armv6l, armv7l, aarch64)
- add fix_processor_detection_for_32bit_on_64bit.patch
- Correctly set optimizations and dynamic dispatch on ARM, use
OpenCV 3.3 syntax on x86.
-------------------------------------------------------------------
Mon Nov 13 09:21:35 UTC 2017 - mpluskal@suse.com
- Update licensing information
-------------------------------------------------------------------
Wed Nov 8 11:21:42 UTC 2017 - ecsos@opensuse.org
- change requires of python-numpy-devel to build in Leap and
to not break factory in future
-------------------------------------------------------------------
Sat Nov 4 10:42:02 UTC 2017 - ecsos@opensuse.org
- fix build error/unresolvable for Leap 42.2 and 42.3
-------------------------------------------------------------------
Fri Nov 3 08:34:20 UTC 2017 - mpluskal@suse.com
- Update to version 3.3.1:
* Lots of various bugfixes
- Update source url
-------------------------------------------------------------------
Thu Nov 2 15:06:21 UTC 2017 - mpluskal@suse.com
- Rename python subpackage to python2
- Do not explicitly require python-base for python subpackages
-------------------------------------------------------------------
Mon Oct 9 05:06:36 UTC 2017 - kah0922@gmail.com
- Update to 3.3
- Dropped obsolete patches
* opencv-gcc6-fix-pch-support-PR8345.patch
* opencv-gles.patch
- Updated opencv-build-compare.patch
-------------------------------------------------------------------
Sat Jul 15 19:14:48 UTC 2017 - stefan.bruens@rwth-aachen.de
- Add 0001-Do-not-include-glx.h-when-using-GLES.patch
Fix build for 32bit ARM, including both GLES and desktop GL headers
causes incompatible pointer type errors
-------------------------------------------------------------------
Mon Jun 5 12:15:24 UTC 2017 - tchvatal@suse.com
- Add conditional for the qt5/qt4 integration
* This is used only for gui tools, library is not affected
- Add provides/obsoletes for the qt5 packages to allow migration
- Drop patch opencv-qt5-sobump.diff
* Used only by the obsoleted qt5 variant
-------------------------------------------------------------------
Mon Jun 5 11:29:06 UTC 2017 - tchvatal@suse.com
- Cleanup a bit with spec-cleaner
- Use %cmake macros
- Remove the conditions that are not really needed
- Add tests conditional disabled by default
* Many tests fail and there are missing testdata
- Switch to pkgconfig style dependencies
-------------------------------------------------------------------
Sun May 28 12:32:09 UTC 2017 - stefan.bruens@rwth-aachen.de
- Update to OpenCV 3.2.0
- Results from 11 GSoC 2016 projects have been submitted to the library:
+ sinusoidal patterns for structured light and phase unwrapping module
[Ambroise Moreau (Delia Passalacqua)]
+ DIS optical flow (excellent dense optical flow algorithm that is both
significantly better and significantly faster than Farnebacks algorithm
our baseline), and learning-based color constancy algorithms implementation
[Alexander Bokov (Maksim Shabunin)]
+ CNN based tracking algorithm (GOTURN) [Tyan Vladimir (Antonella Cascitelli)]
+ PCAFlow and Global Patch Collider algorithms implementation
[Vladislav Samsonov (Ethan Rublee)]
+ Multi-language OpenCV Tutorials in Python, C++ and Java
[João Cartucho (Vincent Rabaud)]
+ New camera model and parallel processing for stitching pipeline
[Jiri Horner (Bo Li)]
+ Optimizations and improvements of dnn module
[Vitaliy Lyudvichenko (Anatoly Baksheev)]
+ Base64 and JSON support for file storage. Use names like
“myfilestorage.xml?base64” when writing file storage to store big chunks of
numerical data in base64-encoded form. [Iric Wu (Vadim Pisarevsky)]
+ tiny_dnn improvements and integration
[Edgar Riba (Manuele Tamburrano, Stefano Fabri)]
+ Quantization and semantic saliency detection with tiny_dnn
[Yida Wang (Manuele Tamburrano, Stefano Fabri)]
+ Word-spotting CNN based algorithm
[Anguelos Nicolaou (Lluis Gomez)]
- Contributions besides GSoC:
+ Greatly improved and accelerated dnn module in opencv_contrib:
- Many new layers, including deconvolution, LSTM etc.
- Support for semantic segmentation and SSD networks with samples.
- TensorFlow importer + sample that runs Inception net by Google.
+ More image formats and camera backends supported
+ Interactive camera calibration app
+ Multiple algorithms implemented in opencv_contrib
+ Supported latest OSes, including Ubuntu 16.04 LTS and OSX 10.12
+ Lots of optimizations for IA and ARM archs using parallelism, vector
instructions and new OpenCL kernels.
+ OpenCV now can use vendor-provided OpenVX and LAPACK/BLAS (including Intel MKL,
Apples Accelerate, OpenBLAS and Atlas) for acceleration
- Refreshed opencv-build-compare.patch
- Dropped upstream opencv-gcc5.patch
- Replace opencv-gcc6-disable-pch.patch with upstream patch
opencv-gcc6-fix-pch-support-PR8345.patch
- Enable TBB support (C++ threading library)
- Add dependency on openBLAS
-------------------------------------------------------------------
Thu Jul 21 07:55:09 UTC 2016 - olaf@aepfle.de
- Enable ffmpeg support unconditional
-------------------------------------------------------------------
Tue Jun 7 08:53:04 UTC 2016 - dimstar@opensuse.org
- In case we build using GCC6 (or newer), add -mlra to CFLAGS to
workaround gcc bug
https://gcc.gnu.org/bugzilla/show_bug.cgi?id=71294.
-------------------------------------------------------------------
Wed May 25 13:38:26 UTC 2016 - martin.liska@suse.com
- Apply upstream patch opencv-gcc6-disable-pch.patch to disable
PCH for GCC6.
-------------------------------------------------------------------
Mon Mar 21 17:05:19 UTC 2016 - toddrme2178@gmail.com
- Test for python versions greater than or equal to the current
version.
-------------------------------------------------------------------
Wed Mar 9 18:15:57 UTC 2016 - toddrme2178@gmail.com
- Add python 3 support
-------------------------------------------------------------------
Thu Mar 3 21:16:19 UTC 2016 - tittiatcoke@gmail.com
- Added opencv_contrib_face-3.1.0.tar.bz2
* This tarball is created to take only the face module from the
contrib package. The Face module is required by libkface, which
in its turn is required by digikam.
-------------------------------------------------------------------
Sun Feb 28 19:37:23 UTC 2016 - joerg.lorenzen@ki.tng.de
- Added _constraints file to avoid random failures on small workers
(at least for builds on PMBS)
-------------------------------------------------------------------
Sat Feb 27 11:11:34 UTC 2016 - joerg.lorenzen@ki.tng.de
- Update to OpenCV 3.1.0
- A lot of new functionality has been introduced during Google
Summer of Code 2015:
+ “Omnidirectional Cameras Calibration and Stereo 3D
Reconstruction” opencv_contrib/ccalib module
(Baisheng Lai, Bo Li)
+ “Structure From Motion” opencv_contrib/sfm module
(Edgar Riba, Vincent Rabaud)
+ “Improved Deformable Part-based Models” opencv_contrib/dpm
module (Jiaolong Xu, Bence Magyar)
+ “Real-time Multi-object Tracking using Kernelized Correlation
Filter” opencv_contrib/tracking module
(Laksono Kurnianggoro, Fernando J. Iglesias Garcia)
+ “Improved and expanded Scene Text Detection”
opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky)
+ “Stereo correspondence improvements” opencv_contrib/stereo
module (Mircea Paul Muresan, Sergei Nosov)
+ “Structured-Light System Calibration”
opencv_contrib/structured_light (Roberta Ravanelli,
Delia Passalacqua, Stefano Fabri, Claudia Rapuano)
+ “Chessboard+ArUco for camera calibration”
opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski)
+ “Implementation of universal interface for deep neural
network frameworks” opencv_contrib/dnn module
(Vitaliy Lyudvichenko, Anatoly Baksheev)
+ “Recent advances in edge-aware filtering, improved SGBM
stereo algorithm” opencv/calib3d and opencv_contrib/ximgproc
(Alexander Bokov, Maksim Shabunin)
+ “Improved ICF detector, waldboost implementation”
opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin)
+ “Multi-target TLD tracking” opencv_contrib/tracking module
(Vladimir Tyan, Antonella Cascitelli)
+ “3D pose estimation using CNNs” opencv_contrib/cnn_3dobj
(Yida Wang, Manuele Tamburrano, Stefano Fabri)
- Many great contributions made by the community, such as:
+ Support for HDF5 format
+ New/Improved optical flow algorithms
+ Multiple new image processing algorithms for filtering,
segmentation and feature detection
+ Superpixel segmentation and much more
- IPPICV is now based on IPP 9.0.1, which should make OpenCV
even faster on modern Intel chips
- opencv_contrib modules can now be included into the
opencv2.framework for iOS
- Newest operating systems are supported: Windows 10 and
OSX 10.11 (Visual Studio 2015 and XCode 7.1.1)
- Interoperability between T-API and OpenCL, OpenGL, DirectX and
Video Acceleration API on Linux, as well as Android 5 camera.
- HAL (Hardware Acceleration Layer) module functionality has been
moved into corresponding basic modules; the HAL replacement
mechanism has been implemented along with the examples
- Removed improve-sphinx-search.diff, opencv-altivec-vector.patch,
opencv-pkgconfig.patch and opencv-samples.patch, fixed upstream.
- Fixed opencv-qt5-sobump.diff, opencv-build-compare.patch,
opencv-gcc5.patch and opencv-gles.patch.
- Version OpenCV 3.0.0
+ ~1500 patches, submitted as PR @ github. All our patches go
the same route.
+ opencv_contrib (http://github.com/itseez/opencv_contrib)
repository has been added. A lot of new functionality is there
already! opencv_contrib is only compatible with 3.0/master,
not 2.4. Clone the repository and use “cmake …
-D OPENCV_EXTRA_MODULES_PATH=<path_to opencv_contrib/modules> …”
to build opencv and opencv_contrib together.
+ a subset of Intel IPP (IPPCV) is given to us and our users free
of charge, free of licensing fees, for commercial and
non-commerical use. Its used by default in x86 and x64 builds
on Windows, Linux and Mac.
+ T-API (transparent API) has been introduced, this is transparent
GPU acceleration layer using OpenCL. It does not add any
compile-time or runtime dependency of OpenCL. When OpenCL is
available, its detected and used, but it can be disabled at
compile time or at runtime. It covers ~100 OpenCV functions.
This work has been done by contract and with generous support
from AMD and Intel companies.
+ ~40 OpenCV functions have been accelerated using NEON intrinsics
and because these are mostly basic functions, some higher-level
functions got accelerated as well.
+ There is also new OpenCV HAL layer that will simplifies creation
of NEON-optimized code and that should form a base for the
open-source and proprietary OpenCV accelerators.
+ The documentation is now in Doxygen: http://docs.opencv.org/master/
+ We cleaned up API of many high-level algorithms from features2d,
calib3d, objdetect etc. They now follow the uniform
“abstract interface hidden implementation” pattern and make
extensive use of smart pointers (Ptr<>).
+ Greatly improved and extended Python & Java bindings (also,
see below on the Python bindings), newly introduced Matlab
bindings (still in alpha stage).
+ Improved Android support now OpenCV Manager is in Java and
supports both 2.4 and 3.0.
+ Greatly improved WinRT support, including video capturing and
multi-threading capabilities. Thanks for Microsoft team for this!
+ Big thanks to Google who funded several successive GSoC programs
and let OpenCV in. The results of many successful GSoC 2013 and
2014 projects have been integrated in opencv 3.0 and
opencv_contrib (earlier results are also available in
OpenCV 2.4.x). We can name:
- text detection
- many computational photography algorithms (HDR, inpainting,
edge-aware filters, superpixels, …)
- tracking and optical flow algorithms
- new features, including line descriptors, KAZE/AKAZE
- general use optimization (hill climbing, linear programming)
- greatly improved Python support, including Python 3.0 support,
many new tutorials & samples on how to use OpenCV with Python.
- 2d shape matching module and 3d surface matching module
- RGB-D module
- VTK-based 3D visualization module
- etc.
+ Besides Google, we enjoyed (and hope that you will enjoy too)
many useful contributions from community, like:
- biologically inspired vision module
- DAISY features, LATCH descriptor, improved BRIEF
- image registration module
- etc.
-------------------------------------------------------------------
Fri Jan 22 09:47:00 UTC 2016 - olaf@aepfle.de
- Reduce build-compare noise
opencv-build-compare.patch
-------------------------------------------------------------------
Wed Dec 23 16:51:20 UTC 2015 - alarrosa@suse.com
- Remove BuildRequirement for python-sphinx in SLE12, since it's
not available there and it's not a mandatory requirement.
-------------------------------------------------------------------
Wed Dec 2 09:17:09 UTC 2015 - ohering@suse.de
- Reduce differences between two spec files
-------------------------------------------------------------------
Tue Sep 22 08:47:31 UTC 2015 - olaf@aepfle.de
- Use pkgconfig for ffmpeg BuildRequires
-------------------------------------------------------------------
Fri Jul 24 14:40:06 UTC 2015 - mlin@suse.com
- Update improve-sphinx-search.diff for new python-Sphinx(1.3.1)
* now that sphinx-build disallow executing without arguments and
give you "Insufficient arguments" error, use "sphinx-build -h"
instead
* the default usages output ie. sphinx-build(or --help) no longer
are standard error but standard output, drop OUTPUT_QUIET and
add OUTPUT_VARIABLE throws the output to SPHINX_OUTPUT as well
-------------------------------------------------------------------
Wed Apr 29 11:53:09 UTC 2015 - coolo@suse.com
- support gcc 5 (i.e. gcc versions without minor version):
opencv-gcc5.patch
-------------------------------------------------------------------
Wed Apr 29 09:35:29 UTC 2015 - coolo@suse.com
- Update to OpenCV 2.4.11 - can't find NEWS or Changelog
merely collecting bug fixes while 3.0 is in the making, 2.4.11
didn't even make it on their web page, it's only on download
server
- remove opencv-underlinking.patch as obsolete
- remove upstream patch bomb_commit_gstreamer-1x-support.patch
- commenting out opencv-pkgconfig.patch - possibly it requires a rebase,
but the problem it tries to solve is unclear
-------------------------------------------------------------------
Mon Jan 26 09:46:21 UTC 2015 - tittiatcoke@gmail.com
- Add specific buildrequires for libpng15, so that we are
building against the system provided libpng.
-------------------------------------------------------------------
Tue May 13 14:56:21 EEST 2014 - koprok@gmail.com
- Update to OpenCV 2.4.9
More info at:
http://opencv.org/opencv-2-4-9-is-out.html
The brief list of changes:
* new 3D visualization module viz;
* performance fixes in ocl module;
* fixes in Android Camera;
* improved CUDA support for mobile platforms;
* bugfixes from community;
* 55 reported bugs have been closed;
* 156 pull requests have been merged.
-------------------------------------------------------------------
Sun Apr 6 16:22:56 UTC 2014 - tittiatcoke@gmail.com
- Drop the BuildRequires on libucil and libunicap for Factory. This
stops us from getting ride of Gstreamer 0.10 and besides these two
libraries seem to be unmaintained upstream as that the latest
actions are from 2010
-------------------------------------------------------------------
Thu Apr 3 11:22:56 UTC 2014 - tittiatcoke@gmail.com
- Add upstream patch (3.0 version) to support Gstreamer 1.x
* bomb_commit_gstreamer-1x-support.patch
-------------------------------------------------------------------
Thu Mar 13 07:50:56 UTC 2014 - tchvatal@suse.com
- Upstream now provides tarballs with source only as git tags
from github so update Source0 path.
-------------------------------------------------------------------
Wed Mar 12 12:13:39 UTC 2014 - tchvatal@suse.com
- Add requires on various X extensions linked to opencv_ts module.
As those are present in the .pc file we need it anyway.
-------------------------------------------------------------------
Sun Jan 19 15:57:26 EET 2014 - koprok@gmail.com
- Update to OpenCV 2.4.8
More info at:
http://opencv.org/opencv-2-4-8.html
The brief list of changes:
* NVidia CUDA support on Android devices with CUDA capable SoC and
CUDA sample;
* Concurrent kernel execution and user defined context support for
OpenCL;
* Integration with Intel Perceptual SDK and new depth sensors support
for Windows;
* 32 reported bugs have been closed;
* 139 pull requests have been merged;
-------------------------------------------------------------------
Thu Jan 16 17:11:21 UTC 2014 - dvlaeev@suse.com
- Fix build with altivec:
opencv-altivec-vector.patch
-------------------------------------------------------------------
Sun Dec 1 17:37:36 UTC 2013 - hrvoje.senjan@gmail.com
- Added opencv-pkgconfig.patch: make sure to provide link flags in
OpenCV pc file (bnc#853036)
-------------------------------------------------------------------
Tue Nov 12 23:07:23 UTC 2013 - hrvoje.senjan@gmail.com
- Update to OpenCV 2.4.7
More info at:
http://opencv.org/opencv-2-4-7-is-out.html
The brief list of changes:
* dynamic OpenCL runtime loading, setting default OpenCL device
via env var, many bug-fixes and some new optimization with OpenCL
* bug-fixes and new optimizations in CUDA stuff
* latest NDK and Android OS support, Native Android Camera tuning
* minor fixes, XAML sample and MS Certification compatibility
in WinRT stuff
* 382 pull requests have been merged
* 54 reported bugs have been fixed
- Added pkgconfig(glu) Requires to devel package, as per .pc file
- Make devel package provides also devel-static one
- Drop assume-Sphinx-is-there.diff, and add improve-sphinx-search.diff,
for properly finding sphinx with alphabetic chars in version
-------------------------------------------------------------------
Sun Nov 10 09:42:16 UTC 2013 - tittiatcoke@gmail.com
- Add patch assume-Sphinx-is-there.diff to fix building with
Sphinx versions that have alphanumeric characters in the version
(Only for factory builds at the moment)
-------------------------------------------------------------------
Sun Jul 14 16:54:56 UTC 2013 - asterios.dramis@gmail.com
- Use eigen3 instead of eigen2 as build requirement for openSUSE > 12.3.
- Enable compilation with libucil and libunicap.
- Removed dos2unix build requirement (not needed anymore).
-------------------------------------------------------------------
Fri Jul 12 11:22:31 EEST 2013 - koprok@nand.bg
- Update to OpenCV 2.4.6.1
More info at:
http://opencv.org/opencv-2-4-6-is-out.html
The brief list of changes:
* added video file i/o Windows RT and sample application using
camera, enabled parallelization with TBB or MS Concurrency
* added CUDA 5.5 support for desktop and ARM systems
* added Qt 5 support
* added many new OpenCL algorithms ports, included OpenCL binaries
into the Windows superpack
* iOS build scripts (together with Android ones) moved to
opencv/platforms directory
* added functions for UIImage <-> cv::Mat conversion
* correct front/back camera selection in Android app framework
* added Linaro NDK support and fixes for MIPS to Android CMake
toolchain
* stability has been improved by a lot, numerous bug-fixes across
all the library
-------------------------------------------------------------------
Wed Jun 26 20:26:48 UTC 2013 - crrodriguez@opensuse.org
- build with LFS_CFLAGS in 32 bit archs.
-------------------------------------------------------------------
Fri May 10 09:59:31 UTC 2013 - hrvoje.senjan@gmail.com
- Disable SSE3 for all architectures (bnc#814333)
-------------------------------------------------------------------
Thu May 9 20:53:43 UTC 2013 - hrvoje.senjan@gmail.com
- Disable SSE(2) on non x86_64 architectures, causes crashing
kde#276923, bnc#789173
-------------------------------------------------------------------
Thu Apr 11 16:01:08 EEST 2013 - koprok@nand.bg
- Update to OpenCV 2.4.5
More info at:
http://opencv.org/opencv-2-4-5-is-out.html
The brief list of changes:
* experimental WinRT support
* new video super-resolution module
* CLAHE (adaptive histogram equalization) algorithm on both CPU
and GPU
* further improvements and extensions in ocl module
(stereo block matching and belief propagation have been added,
fixed crashes on Intel HD4000)
* Visual Studio 2012 cv::Mat visualizer plugin debugger tutorial
from Microsoft Research
* OpenCV4Android SDK improvements
(NDK r8e support, native activity sample using OpenCV Manager,
bug-fixes)
* ~25 reported problems have been resolved since 2.4.4, ~78 pull
requests have been merged, thanks everybody who participated!
-------------------------------------------------------------------
Tue Mar 5 14:42:49 EET 2013 - koprok@nand.bg
- Update to OpenCV 2.4.4
More info at:
http://opencv.org/opencv-2-4-4-is-out.html
The brief list of changes:
* OpenCV Java bindings are ported from Android to desktop Java!
Actually any JVM language will work, see Tutorial for details,
and Java or Scala code samples.
* Android application framework, samples, tutorials, and OpenCV
Manager are improved.
* Optimizations for the new NVIDIA Kepler architecture, CARMA
platform support and other new optimizations in CUDA.
* OpenCL module now builds successfully with various SDKs (from
AMD, NVIDIA, Intel and Apple) and runs well on different GPUs
(AMD, NVidia, Intel HD4000). A lot of new functionality has been
added, tons of bugs fixed, performance of many functions has
been significantly improved.
* 100+ reported problems have been resolved since 2.4.3, thanks
everybody who participated!
-------------------------------------------------------------------
Sat Dec 1 12:56:09 UTC 2012 - tittiatcoke@gmail.com
- Drop the buildrequire for libxine
-------------------------------------------------------------------
Wed Nov 28 11:33:38 EET 2012 - koprok@nand.bg
- Update to OpenCV 2.4.3
More info at:
http://opencv.org/opencv-2-4-3-released.html
The nicely formatted changelog can be seen here:
http://code.opencv.org/projects/opencv/wiki/ChangeLog;
here are the highlights:
* A lot of good stuff from the Google Summer of Code 2012 has been
integrated; this was a very productive summer!
* Significantly improved and optimized Android and iOS ports.
* Greatly extended GPU (i.e. CUDA-based) module.
* The brand new ocl (OpenCL-based) module that unleashes GPU power
also for AMD and Intel GPU users. Its not included into the
binary package, since there are different SDKs, and its not
turned on by default. You need to run CMake and turn on
“WITH_OPENCL”. Also, please note that this is very first version
of the module, so it may be not very stable and not very
functional.
* Much better performance on many-core systems out of the box. You
do not need TBB anymore on MacOSX, iOS and Windows. BTW, the
binary package for Windows is now built without TBB support.
Libraries and DLLs for Visual Studio 2010 use the Concurrency
framework.
* About 130 bugs have been fixed since 2.4.2.
* Since 2.4.3rc we fixed several more problems, in particular some
compile problems with iOS 6 SDK.
-------------------------------------------------------------------
Tue Sep 18 07:22:59 UTC 2012 - coolo@suse.com
- buildrequire glu
-------------------------------------------------------------------
Thu Jul 5 11:17:21 EEST 2012 - koprok@nand.bg
- Update to OpenCV 2.4.2
More info at:
http://code.opencv.org/projects/opencv/wiki/ChangeLog
- Drop opencv-datadir.patch to comply with upstream directory layout
-------------------------------------------------------------------
Fri Jun 8 11:07:47 EEST 2012 - koprok@nand.bg
- Update to OpenCV 2.4.1
More info at:
http://code.opencv.org/projects/opencv/wiki/ChangeLog
-------------------------------------------------------------------
Tue May 15 14:24:05 EEST 2012 - koprok@nand.bg
- Update to OpenCV 2.4.0
More info at:
http://code.opencv.org/projects/opencv/wiki/ChangeLog
-------------------------------------------------------------------
Sat Mar 17 12:01:52 UTC 2012 - dimstar@opensuse.org
- Add opencv-gcc47.patch: Fix build with gcc 4.7.
-------------------------------------------------------------------
Tue Jan 10 04:24:32 UTC 2012 - crrodriguez@opensuse.org
- Use Explicit Buildrequires on several needed libraries
future dependency cleanups may/will cause build to fail otherwise.
-------------------------------------------------------------------
Sat Dec 31 14:21:49 UTC 2011 - idonmez@suse.com
- Add upstream r6881 to fix clang compatibility
-------------------------------------------------------------------
Tue Oct 18 08:19:10 UTC 2011 - coolo@suse.com
- uncomment libraries not in 12.1 for now
-------------------------------------------------------------------
Fri Oct 7 15:15:32 UTC 2011 - toddrme2178@gmail.com
- Changed groups (fix for RPMLINT warning)
- Added check for duplicate files (fix for RPMLINT warning)
- Added py_requires macros and python-base dependencies (fix for RPMLINT warning)
- Escaped macros (fix for RPMLINT warning)
- Fixed end-of-line encoding problems (fix for RPMLINT warning)
- Added libeigen2-devel buildrequires
- Added libunicap and libucil buildrequires (libunicap supports requires libucil)
- Cleaned up spec file formatting
-------------------------------------------------------------------
Tue Aug 23 17:46:53 EEST 2011 - koprok@nand.bg
- Dropped opencv-2.3-ffmpeg.patch, applied upstream
-------------------------------------------------------------------
Tue Aug 23 16:31:53 EEST 2011 - koprok@nand.bg
- Revive opencv-2.3-ffmpeg.patch, needs rebase
- Tag all patches according to openSUSE packaging guidelines
-------------------------------------------------------------------
Tue Aug 23 11:22:19 EEST 2011 - koprok@nand.bg
- Removed opencv-2.3-cmake.patch, old cmake cannot be used any more.
- Python bindings cannot be built without NumPy any more.
-------------------------------------------------------------------
Fri Aug 19 15:03:45 EEST 2011 - koprok@nand.bg
- Update to OpenCV 2.3.1
-------------------------------------------------------------------
Wed Aug 17 23:50:39 UTC 2011 - reddwarf@opensuse.org
- Update and readd opencv-2.3-underlinking.patch since it is still
necessary.
-------------------------------------------------------------------
Wed Aug 17 20:19:05 UTC 2011 - reddwarf@opensuse.org
- Fix support for new ffmpeg versions
-------------------------------------------------------------------
Sun Aug 14 01:44:47 EEST 2011 - koprok@nand.bg
- Removed unnecessary patches
- Enable Python NumPy support on openSUSE 11.2
- Build Qt instead of Gtk GUI
- Fix cmake files for openSUSE 11.1
- No GStreamer support on openSUSE 11.1
-------------------------------------------------------------------
Fri Aug 12 17:37:30 EEST 2011 - koprok@nand.bg
- Update to OpenCV 2.3.0.
More info at:
http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs
-------------------------------------------------------------------
Wed Aug 3 00:36:36 EEST 2011 - koprok@nand.bg
- Fix build on openSUSE 11.2
-------------------------------------------------------------------
Wed Jul 6 08:23:04 UTC 2011 - idonmez@novell.com
- Add opencv-v4l-2.6.38.patch: use the new libv4l2 interface
-------------------------------------------------------------------
Mon Dec 27 16:56:15 EET 2010 - koprok@nand.bg
- Enable Python NumPy support
- SWIG is not required any more
- Enable OpenEXR support
-------------------------------------------------------------------
Thu Dec 23 16:08:46 EET 2010 - koprok@nand.bg
- Update to OpenCV 2.2.0.
More info at:
http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs
-------------------------------------------------------------------
Sun Dec 12 13:39:48 UTC 2010 - cristian.rodriguez@opensuse.org
- Use system zlib, oh, and do not export ZLIB symbols to
other applications, clashes ensued.
-------------------------------------------------------------------
Thu Nov 11 15:50:25 CET 2010 - dmueller@suse.de
- fix build with gcc 4.6
-------------------------------------------------------------------
Fri Oct 8 07:29:48 UTC 2010 - reddwarf@opensuse.org
- add -underlinking patch
-------------------------------------------------------------------
Thu Apr 22 11:43:38 EEST 2010 - koprok@nand.bg
- devel package renamed to opencv-devel, so that switching between
OBS and packman opencv packages is easier
-------------------------------------------------------------------
Mon Apr 19 10:48:10 EEST 2010 - koprok@nand.bg
- fix gstreamer support
- fix xine support
- fix some rpmlint warnings
- fix shared libraries permissions
-------------------------------------------------------------------
Sat Apr 17 18:23:31 EEST 2010 - koprok@nand.bg
- Do not waste resources building the tests as we do not run them
-------------------------------------------------------------------
Fri Apr 16 10:58:26 EEST 2010 - koprok@nand.bg
- Do not disable SSE,SSE2,etc. According to OpenCV changelog,
it should be safe to leave these enabled.
-------------------------------------------------------------------
Thu Apr 15 14:26:49 EEST 2010 - koprok@nand.bg
- fix build on openSUSE 11.0
-------------------------------------------------------------------
Tue Apr 13 19:54:42 EEST 2010 - koprok@nand.bg
- Update to OpenCV 2.1.0:
* The whole OpenCV is now using exceptions instead of the old
libc-style mechanism
* Experimental "static" OpenCV configuration in CMake was
contributed by Jose Luis Blanco.
Pass "BUILD_SHARED_LIBS=OFF" to CMake to build OpenCV statically.
* new improved version of one-way descriptor is added
* User can now control the image areas visible after the stereo
rectification
* Fullscreen has been added (thanks to Yannick Verdie).
* Further info at:
http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs
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Wed Apr 7 14:12:03 UTC 2010 - coolo@novell.com
- fix build with libpng14
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Thu Mar 18 06:33:27 UTC 2010 - coolo@novell.com
- small spec file cleanup
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Sat Jan 16 19:45:04 UTC 2010 - tittiatcoke@gmail.com
- Moved to the KDE repositories to enable inclusion in kipi-plugins
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Fri Oct 9 19:23:14 UTC 2009 - cmorve69@yahoo.es
- Initial package