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-------------------------------------------------------------------
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>

- update to 4.7.0, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version470
  Highlights of this release:
  * DNN:
    + New ONNX layers: Scatter and ScatterND, Tile, ReduceL1,
      ReduceMin and more.
    + Signinficant performance optimization for convolutions.
      Winograd algoritm implementation.
    + Element-wise operation (add, sub, mul, div, ...):
      Broadcasting.
    + OpenVino 2022.1 support.
    + CANN backend support.
  * Algorithms:
    + ArUco markers and April tags support including ChAruco and
      diamond boards detection and calibration.
    + QR code detection and decoding quality imrovement. Alignment
      markers support. Benchmark for QR codes: link
    + Nanotrack v2 tracker based on neural networks.
    + Stackblur algoruthm implementation.
  * Multimedia:
    + FFmpeg 5.x support.
    + CUDA 12.0 support. Hardware accelerated video codecs support
      on NVIDIA platforms with modern Video Codec SDK (NVCUVID and
      NVENCODEAPI).
    + CV_16UC1 read/write video support with FFmpeg.
    + Orientation meta support on Mac with native media API.
    + New iterator-based API for multi-page image formats.
    + libSPNG support for PNG format.
    + SIMD acceleration for self-built libJPEG-Turbo
    + H264/H265 support on Android. Multiple fixes for video
      decoder, endcoder and camera memory layout.
  * G-API
    + Exposed all core APIs to Python, including stateful kernels.
  * Optimization:
    + New universal intrinsics backend for scalable vector
      instructions. The first scalable implementation for
      RISC-V RVV 1.0.
    + DNN module patches:
      - Improved layers / supported more models:
        *  Scatter and ScatterND #22529, Tile #22809
        *  Fixes in Slice (support negative step #22898)
        *  Support some reduce layers of ONNX #21601
      - Added CANN backend support #22634. Link to the manual:
        https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend.
      - Added bacthed NMS for multi-class object detection #22857
      - Accelerating convolution, especially for ARM CPU.
      - Winograd's convolution optimization
  + And many other contributions:
    +   Added n-dimensional flip to core #22898
    +   Add StackBlur for imgproc #20379
- Removed upstream opencv-ffmpeg5.patch

-------------------------------------------------------------------
Tue Aug 23 11:22:38 UTC 2022 - Christophe Giboudeaux <christophe@krop.fr>

- Add upstream change to fix include issue with FFmpeg 5:
  * opencv-ffmpeg5.patch

-------------------------------------------------------------------
Sun Jun 19 13:25:26 UTC 2022 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- update to 4.6.0, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version460
  * OpenCV project infrastructure migrating on GitHub Actions
    workflows for CI and release purposes
  * Added support for GCC 12, Clang 15
  * Added support for FFmpeg 5.0
  * DNN module patches:
    + Improved layers / activations / supported more models:
      - LSTM (+CUDA), resize (+ONNX13), Sign, Shrink, Reciprocal,
        depth2space, space2depth
      - fixes in Reduce, Slice, Expand
    + Disabled floating-point denormals processing #21521
    + Changed layer names in ONNX importer to support "output"
      entities properly
    + Added TIM-VX NPU backend support:
      https://github.com/opencv/opencv/wiki/TIM-VX-Backend-For-Running-OpenCV-On-NPU
    + Added Softmax parameter to ClassificationModel
    + Added audio speech recognition sample (C++) #21458
    + Intel® Inference Engine backend (OpenVINO):
      - added initial support for OpenVINO 2022.1 release
      - removed support of legacy API (dropped since 2020.3)
  * G-API module:
    + G-API framework:
      - Introduced a Grayscale image format support for
        cv::MediaFrame: #21511;
      - Enabeled .reshape() support in the CPU backend: #21669;
      - Fixed possible hang in streaming execution mode with constant
        inputs: #21567;
      - Introduced proper error/exception propagation in the
        asynchronous streaming execution mode: #21660;
      - Fixed new stream event handling: #21731.
    + Fluid backend:
      - Fixed horizontal pass in the Resize kernel, fixed Valgrind
        issues: #21144;
      - Extended Resize kernel with F32 version: #21678,
        added AVX: #21728.
      - Enabled dynamic dispatch for Split4 kernel: #21520;
      - Enabled dynamic dispatch for Merge3 kernel: #21529;
      - Added a SIMD version for DivC kernel: #21474;
      - Added a SIMD version for DivRC kernel: #21530;
      - Enabled dynamic dispatch for Add kernel: #21686;
      - Enabled dynamic dispatch for Sub kernel: #21746;
      - Added a SIMD version for ConvertTo kernel: #21777;
      - Fixed kernel matrix size for Sobel kernel: #21613.
    + Intel® OpenVINO™ inference backend:
      - Fixed NV12 format support for remote memory when OpenVINO
        remote context is used: #21424.
      - Implemented correct error handling in the backend: #21579.
      - Fixed ngraph warnings #21362.
    + OpenCV AI Kit backend:
      - Introduced a new backend to program OpenCV AI Kit boards via
        G-API. Currently the backend is in experimental state, but allows
        to build Camera+NN pipeline and supports heterogeneity (mixing
        with host-side code): #20785, #21504.
    + Media integration:
      - Enabled GPU inference with oneVPL and DirectX11 on Windows in
        Intel OpenVINO inference backend: #21232, #21618, #21658, #21687,
        #21688. Now GPU textures decoded by oneVPL decoder can be
        preprocessed and inferred on GPU with no extra host processing.
      - Enabled oneVPL support on Linux: #21883.
      - Extended GStreamer pipeline source with Grayscale image format
        support: #21560.
    + Python bindings:
      - Exposed GStreamer pipeline source in Python bindings: #20832.
      - Fixed Python bindings for CudaBufferPool, cudacodec and cudastereo
        modules in OpenCV Contrib.
    + Samples:
      - Introduced a pipeline modelling tool for cascaded model
        benchmarking: #21477, #21636, #21719. The tool supports a
        declarative YAML-based config to describe pipelines with simulated
        pre-/post-processing. The tool collects and reports latency and
        throughput information for the modelled pipeline.
    + Other changes and fixes:
      - Moved GKernelPackage into cv:: namespace by default, its cv::gapi::
        alias remain for compatibility: #21318;
      - Moved Resize kernel from core to imgproc kernel packages for
        CPU, OpenCL, and Fluid backends: #21157. Also moved tests
        appropriately: #21475;
      - Avoided sporadic test failures in DivC: #21626;
      - Fixed 1D Mat handling in the framework: #21782;
      - Reduced the number of G-API generated accuracy tests: #21909.
- Drop upstream patches:
  * 0001-highgui-Fix-unresolved-OpenGL-functions-for-Qt-backe.patch
  * videoio_initial_FFmpeg_5_0_support.patch
  * videoio_ffmpeg_avoid_memory_leaks.patch

-------------------------------------------------------------------
Fri Apr 29 16:54:16 UTC 2022 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- Add upstream patches for FFmpeg 5.0 support, add
  * videoio_initial_FFmpeg_5_0_support.patch
  * videoio_ffmpeg_avoid_memory_leaks.patch

-------------------------------------------------------------------
Sat Apr  9 17:42:50 UTC 2022 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- Restore memoryperjob constraint, avoid being scheduled on a 16
  core system and use less than half of it.
- Adjust %limit_build to 1800, to avoid recurrent build failures
  on aarch64. (People should not care for their pet architecture
  only, but also carefully check if they break others.)
- Add missing libopencv_aruco dependency in devel package.

-------------------------------------------------------------------
Mon Jan 10 11:08:32 UTC 2022 - Antonio Larrosa <alarrosa@suse.com>

- Remove the memoryperjob constraint which doesn't work as one
  would expect and breaks ppc64 builds.
- Use %limit_memory -m 1700 to set the number of concurrent
  jobs to a sane value and fix OOM errors when building in
  workers with many cores.
- Decrease the disk constraint to 9G which seems to be enough

-------------------------------------------------------------------
Sat Dec 25 17:43:11 UTC 2021 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- update to 4.5.5, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version455
  * Audio support as part of VideoCapture API: GStreamer #21264
  * Updated SOVERSION handling rules: #21178
  * DNN module patches:
    + Added tests to cover ONNX conformance test suite: #21088
    + Improved layers / activations / supported more models
    + Upgraded builtin protobuf from 3.5.2 to 3.19.1
    + More optimizations for RISC-V platform
    + Intel® Inference Engine backend ( OpenVINO™ ):
            added support for OpenVINO 2021.4.2 LTS release
  * G-API module:
    + G-API framework:
      - Fixed issue with accessing 1D data from cv::RMat: #21103
      - Restricted passing the G-API types to graph inputs/outputs
        for execution: #21041
      - Various fixes in G-API Doxygen reference: #20924
      - Renamed various internal structures for consistency #20836 #21040
    + Fluid backend:
      - Introduced a better vectorized version of Resize: #20664.
      - Added vectorized version of Multiply kernel: #21024
      - Added vectorized version of Divide kernel: #20914
      - Added vectorized version of AddC kernel: #21119
      - Added vectorized version of SubC kernel: #21158
      - Added vectorized version of MulC kernel: #21177
      - Added vectorized version of SubRC kernel: #21231
      - Enabled SIMD dispatching for AbsDiffC: #21204
    + OpenCL backend:
      - Fixed sporadic test failures in Multiply kernel running
        on GPU: #21205
    + Intel® OpenVINO™ inference backend:
      - Extended ie::Params to support static batch size as input
        to inference: #20856
      - Enabled 2D input tensor support in IE backend: #20925
      - Fixed various issues with imported (pre-compiled)
        networks: #20918
    + Media integration:
      - Introduced a GStreamer-based pipeline source for
        G-API: #20709
      - Completed the integration of Intel® oneVPL as a pipeline
        source for G-API #20773 with device selection #20738,
	asynchronous execution #20901, intial demux support #21022,
	and GPU-side memory allocation via DirectX 11 #21049.
    + Samples:
      - Replaced custom kernels with now-standard G-API operations
        in several samples #21106
      - Moved API snippets from G-API samples to a dedicated
        place #20857
    + Other changes and fixes:
      - Fixed various static analysis issues for OpenVINO 2021.4
        release: #21083 and #21212
      - Fixed various build warnings introduced after OpenVINO
        update: #20937
      - Continued clean-up in the G-API test suite on GTest macros
        #20922 and test data #20995
      - Added custom accuracy comparison functions to Fluid
        performance tests: #21150.
  * And many other contributions:
    + Added QRcode encoder: #17889
    + GSoC - OpenCV.js: Accelerate OpenCV.js DNN via WebNN: #20406
    + Add conventional Bayer naming: #20970
    + (opencv_contrib) Add Radon transform function to ximgproc: #3090
    + (opencv_contrib) New superpixel algorithm (F-DBSCAN): #3093
    + Created Stitching Tool: #21020
    + Improve CCL with new algorithms and tests: #21275
    + (opencv_contrib) Update ArUco tutorial: #3126
- Adjust memory constraints (mostly required for aarch64 on Leap)
- Add 0001-highgui-Fix-unresolved-OpenGL-functions-for-Qt-backe.patch

-------------------------------------------------------------------
Wed Nov 24 21:53:53 UTC 2021 - Dirk Müller <dmueller@suse.com>

- update to 4.5.4:
  * 8-bit quantization in the dnn module
  * Improved Julia bindings
  * Speech recognition sample
  * dnn module optimizations for RISC-V
  * Tutorial about universal intrinsics and parallel_for usage
  * Improvements in the dnn module:
    - New layers and models support
    - Some existing layers have been fixed
    - Soft-NMS implementation
    - Supported OpenVINO 2021.4.1 LTS release

-------------------------------------------------------------------
Mon Aug 30 09:20:06 UTC 2021 - Jan Engelhardt <jengelh@inai.de>

- Remove dependency on IlmBase, opencv never uses this directly.

-------------------------------------------------------------------
Sat May  1 12:25:46 UTC 2021 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- update to 4.5.2, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version452
  * core: added support for parallel backends.
  * imgproc: added IntelligentScissors implementation (JS demo).
  * videoio: improved hardware-accelerated video de-/encoding tasks.
  * DNN module:
    + Improved debugging of TensorFlow parsing errors: #19220
    + Improved layers / activations / supported more models:
      - optimized: NMS processing, DetectionOutput
      - fixed: Div with constant, MatMul, Reshape
        (TensorFlow behaviour)
      - added support: Mish ONNX subgraph, NormalizeL2 (ONNX),
        LeakyReLU (TensorFlow), TanH + SAM (Darknet), Exp
    + Intel® Inference Engine backend ( OpenVINO™ ):
      added support for OpenVINO 2021.3 release
  * G-API module:
    + Python support:
      - Introduced a new Python backend - now G-API can run custom
        kernels written in Python as part of the pipeline: #19351
      - Extended Inference support in the G-API bindings: #19318
      - Added more graph data types in the G-API bindings: #19319
    + Inference support:
      - Introduced dynamic input / CNN reshape functionality in the
        OpenVINO inference backend #18240
      - Introduced asynchronous execution support in the OpenVINO
        inference backend, now it can run in multiple parallel
	requests to increase stream density/throughput: #19487, #19425
      - Extended supported data types with INT64/INT32 in ONNX
        inference backend and with INT32 in the OpenVINO inference
	backend #19792
      - Introduced cv::GFrame / cv::MediaFrame and constant support
        in the ONNX backend: #19070
    + Media support:
      - Introduced cv::GFrame / cv::MediaFrame support in the
        drawing/rendering interface: #19516
      - Introduced multi-stream input support in Streaming mode
        and frame synchronization policies to support cases like
	Stereo: #19731
      - Added Y and UV operations to access NV12 data of cv::GFrame
        at the graph level; conversions are done on-the-fly if the
	media format is different: #19325
    + Operations and kernels:
      - Added performance tests for new operations (MorphologyEx,
        BoundingRect, FitLine, FindContours, KMeans, Kalman,
	BackgroundSubtractor)
      - Fixed RMat input support in the PlaidML backend: #19782
      - Added ARM NEON optimizations for Fluid AbsDiffC, AddWeighted,
        and bitwise operations: #18466, #19233
      - Other various static analysis and warning fixes
    + Documentation:
      - [GSoC] Added TF/PyTorch classification conversion: #17604
      - [GSoC] Added TF/PyTorch segmentation conversion: #17801
      - [GSoC] Added TF/PyTorch detection model conversion: #18237
      - Updated documentation to address Wide Universal Intrinsics
	(WUI) SIMD API: #18952
    + And many other great contributions from OpenCV community:
      - core: cuda::Stream constructor with stream flags: #19286
      - highgui: pollKey() implementation for w32 backend: #19411
      - imgcodecs: Added Exif parsing for PNG: #19439
      - imgcodecs: OpenEXR compression options: #19540
      - imgproc: connectedComponents optimizations: (Spaghetti
        Labeling): #19631
      - videoio: Android NDK camera support #19597
      - (contrib) WeChat QRCode module open source: #2821
      - (contrib) Implemented cv::cuda::inRange(): #2803
      - (contrib) Added algorithms from Edge Drawing Library: #2313
      - (contrib) Added Python bindings for Viz module: #2882
- Add libva build dependency for HW accelerated videoio
- Slight bump for memory constraints

-------------------------------------------------------------------
Thu Feb 11 10:49:40 UTC 2021 - Luigi Baldoni <aloisio@gmx.com>

- Enable aruco module (recognize markers to detect camera pose)

-------------------------------------------------------------------
Sat Jan  2 16:30:59 UTC 2021 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- update to 4.5.1, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version451
  * Continued merging of GSoC 2020 results:
    + Develop OpenCV.js DNN modules for promising web use cases
      together with their tutorials
    + OpenCV.js: WASM SIMD optimization 2.0
    + High Level API and Samples for Scene Text Detection and
      Recognition
    + SIFT: SIMD optimization of GaussianBlur 16U
  * DNN module:
    + Improved layers / activations / supported more models:
      - optimized: 1D convolution, 1D pool
      - fixed: Resize, ReduceMean, Gather with multiple outputs,
        importing of Faster RCNN ONNX model
      - added support: INT32 ONNX tensors
    + Intel® Inference Engine backend (OpenVINO):
      - added support for OpenVINO 2021.2 release
      - added preview support for HDDL
    + Fixes and optimizations in DNN CUDA backend (thanks to
      @YashasSamaga)
  * G-API Framework:
    + Introduced serialization for cv::RMat, including
      serialization for user-defined memory adapters
    + Introduced desync, a new Operation for in-graph asynchronous
      execution - to allow different parts of the graph run with
      a different latency
    + Introduced a notion of "in-graph metadata", now various
      media-related information can be accessed in graph directly
      (currently only limited to timestamps and frame IDs)
    + Introduced a new generic task-based executor, based on
      Threading Building Blocks (TBB)
    + Extended infer<>() API to accept a new cv::GFrame data
      structure to allow handling of various media formats without
      changes in the graph structure
    + Made copy() an intrinsic where real copy may not happen
      (optimized out) based on graph structure, extended it to
      support cv::GFrame
    + Various fixes, including addressig static analysis,
      documentation, and test issues
  * G-API Operations:
    + Introduced new operations morphologyEx, boundingRect,
      fitLine, kmeans, Background Subtractor, Kalman filter
  * G-API Intel® Inference Engine backend (OpenVINO):
    + Extended cv::gapi::ie::Params<> to import CNN networks (e.g.
      pre-compiled ones) instead of passing .XML and .BIN files;
      also enabled configuring Inference Engine plugins via
      this structure
    + Added a new overload to infer<>() to run inference over a
      single region of interest
    + Added support for cv::MediaFrame input data type (projected
      from cv::GFrame) and handling for NV12 input image format
  * G-API Python bindings:
    + Exposed G-API's Inference and Streaming APIs in the OpenCV
      Python bindings
    + Added initial Python support for cv::GArray data structure
  * Significant progress on RISC-V port.
- Updated constraints, bump memory to 5 GB
- Cleaned up spec file

-------------------------------------------------------------------
Mon Nov  2 20:16:43 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- Split library package, move all libraries with external
  dependencies (Qt5, ffmpeg, gstreamer) into separate packages
- Move haar and LBP cascades into separate package, pull in from
  objdetect and face (detect) libraries.

-------------------------------------------------------------------
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

-------------------------------------------------------------------
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)

-------------------------------------------------------------------
Thu Aug 20 09:02:23 UTC 2020 - Martin Liška <mliska@suse.cz>

- Use memoryperjob constraint instead of %limit_build macro.

-------------------------------------------------------------------
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

-------------------------------------------------------------------
Fri Jun 12 14:18:41 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- Disable Python 2 bindings for Tumbleweed.

-------------------------------------------------------------------
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).

-------------------------------------------------------------------
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.

-------------------------------------------------------------------
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.

-------------------------------------------------------------------
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).
- Enable Graph API (G-API)
- Minor spec file cleanup

-------------------------------------------------------------------
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

-------------------------------------------------------------------
Tue Aug 27 10:23:45 UTC 2019 - Jan Engelhardt <jengelh@inai.de>

- Avoid use of ®/™ signs in specfiles as per guidelines.

-------------------------------------------------------------------
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).

-------------------------------------------------------------------
Sat Aug 10 21:45:53 UTC 2019 - Christophe Giboudeaux <christophe@krop.fr>

- Increase the disk space needed to build opencv.

-------------------------------------------------------------------
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.

-------------------------------------------------------------------
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 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

-------------------------------------------------------------------
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. 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.

-------------------------------------------------------------------
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. 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.

-------------------------------------------------------------------
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

-------------------------------------------------------------------
Wed Apr  7 14:12:03 UTC 2010 - coolo@novell.com

- fix build with libpng14

-------------------------------------------------------------------
Thu Mar 18 06:33:27 UTC 2010 - coolo@novell.com

- small spec file cleanup

-------------------------------------------------------------------
Sat Jan 16 19:45:04 UTC 2010 - tittiatcoke@gmail.com

- Moved to the KDE repositories to enable inclusion in kipi-plugins

-------------------------------------------------------------------
Fri Oct  9 19:23:14 UTC 2009 - cmorve69@yahoo.es

- Initial package

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