发布于 2015-06-05 08:47:30 | 137 次阅读 | 评论: 0 | 来源: 网友投递

这里有新鲜出炉的Python-OpenCV 图像与视频处理教程,程序狗速度看过来!

OpenCV 跨平台计算机视觉库

OpenCV的全称是:Open Source Computer Vision Library。OpenCV是一个基于(开源)发行的跨平台计算机视觉库,可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成,同时提供了Python、Ruby、MATLAB等语言的接口,实现了图像处理和计算机视觉方面的很多通用算法。


openCV 3.0 发布,更新内容如下:

  • ~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!

更多内容请查看发行日志

软件下载:

OpenCV的全称是:Open Source Computer Vision Library。OpenCV是一个基于(开源)发行的跨平台计算机视觉库,可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成,同时提供了Python、Ruby、MATLAB等语言的接口,实现了图像处理和计算机视觉方面的很多通用算法。



历史版本 :
OpenCV 3.3.0 发布,改进对深度学习模块的支持
计算机视觉库 OpenCV 2.4.13.3 版本发布
OpenCV 3.2.0 发布,计算机视觉库
OpenCV 3.2.0 RC 发布,计算机视觉库
OpenCV 2.4.13.1 发布,计算机视觉库
OpenCV 2.4.12.3 发布,计算机视觉库
OpenCV 2.4.13 发布,计算机视觉库
OpenCV 3.1 发布,计算机视觉库
openCV 3.0 发布,计算机视觉库
OpenCV 3.0 RC1 发布,计算机视觉库
OpenCV 3 将会为我们带来什么?
OpenCV 3.0 Alpha 发布,计算机视觉库
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