forked from pool/opencv
Accepting request 499529 from KDE:Extra
1 OBS-URL: https://build.opensuse.org/request/show/499529 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/opencv?expand=0&rev=65
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Sun May 28 12:32:09 UTC 2017 - stefan.bruens@rwth-aachen.de
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- Update to OpenCV 3.2.0
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- Results from 11 GSoC 2016 projects have been submitted to the library:
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+ sinusoidal patterns for structured light and phase unwrapping module
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[Ambroise Moreau (Delia Passalacqua)]
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+ DIS optical flow (excellent dense optical flow algorithm that is both
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significantly better and significantly faster than Farneback’s algorithm –
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our baseline), and learning-based color constancy algorithms implementation
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[Alexander Bokov (Maksim Shabunin)]
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+ CNN based tracking algorithm (GOTURN) [Tyan Vladimir (Antonella Cascitelli)]
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+ PCAFlow and Global Patch Collider algorithms implementation
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[Vladislav Samsonov (Ethan Rublee)]
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+ Multi-language OpenCV Tutorials in Python, C++ and Java
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[João Cartucho (Vincent Rabaud)]
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+ New camera model and parallel processing for stitching pipeline
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[Jiri Horner (Bo Li)]
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+ Optimizations and improvements of dnn module
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[Vitaliy Lyudvichenko (Anatoly Baksheev)]
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+ Base64 and JSON support for file storage. Use names like
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“myfilestorage.xml?base64” when writing file storage to store big chunks of
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numerical data in base64-encoded form. [Iric Wu (Vadim Pisarevsky)]
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+ tiny_dnn improvements and integration
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[Edgar Riba (Manuele Tamburrano, Stefano Fabri)]
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+ Quantization and semantic saliency detection with tiny_dnn
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[Yida Wang (Manuele Tamburrano, Stefano Fabri)]
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+ Word-spotting CNN based algorithm
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[Anguelos Nicolaou (Lluis Gomez)]
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- Contributions besides GSoC:
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+ Greatly improved and accelerated dnn module in opencv_contrib:
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- Many new layers, including deconvolution, LSTM etc.
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- Support for semantic segmentation and SSD networks with samples.
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- TensorFlow importer + sample that runs Inception net by Google.
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+ More image formats and camera backends supported
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+ Interactive camera calibration app
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+ Multiple algorithms implemented in opencv_contrib
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+ Supported latest OSes, including Ubuntu 16.04 LTS and OSX 10.12
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+ Lot’s of optimizations for IA and ARM archs using parallelism, vector
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instructions and new OpenCL kernels.
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+ OpenCV now can use vendor-provided OpenVX and LAPACK/BLAS (including Intel MKL,
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Apple’s Accelerate, OpenBLAS and Atlas) for acceleration
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- Refreshed opencv-build-compare.patch
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- Dropped upstream opencv-gcc5.patch
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- Replace opencv-gcc6-disable-pch.patch with upstream patch
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opencv-gcc6-fix-pch-support-PR8345.patch
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- Enable TBB support (C++ threading library)
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- Add dependency on openBLAS
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Thu Jul 21 07:55:09 UTC 2016 - olaf@aepfle.de
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