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Вышла OpenCV 3.1

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Обновилась OpenCV до версии 3.1

http://opencv.org/opencv-3-1.html

Changes

The detailed list of changes since 3.0 can be found at https://github.com/Itseez/opencv/wiki/ChangeLog. Here is the short summary:

  • 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

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а расшифровка есть?  например что входит в “Improved Deformable Part-based Models” ?

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Сейчас скачал 3.1 для Windows, есть сборка под платформу х64. Под х86 сборка отсуствует. Может кто в курсе почему?

В 3.0 х86 присуствует.

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Да лучше собрать самому, CMAKE-ом просто все делается, и настроить все как Вам нравится.

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Версия OpenCV 3.1 нормально устанавливается с любой версией VS? Express Edition?

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Думаю что VS2013 express будет работать.

Если скачать бинарники то там будет папка с dll  и разные подпапки для разных версий VS, соответственно так можно посмотреть поддерживаемые.

 

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А зачем нужна Express edition, когда есть Community?

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49 minutes ago, Nuzhny said:

А зачем нужна Express edition, когда есть Community?

А зачем урезанная VS, когда есть QT Creator?

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Ага, я им и пользуюсь. Но... у Qt Creator тоже есть более полная платная версия!

К тому же Community не особо и урезанная. Вроде как это аналог Professional, но с другой лицензией.

А Express - это уже урезанная по самое нехочу. Насколько я помню, там даже OpenMP не поддерживается.

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