Opencv4.0 发布亮点 2018.11.20

本文主要是介绍Opencv4.0 发布亮点 2018.11.20，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

Opencv4.0

发布亮点

发布亮点

After almost 3.5 years since groundbreaking 3.0 release, we are glad to present the first stable release in the 4.x line.
发布3.0 release版本已经3.5年了，终于迎来4.0版本。

Release highlights:
OpenCV is now C++11 library and requires C++11-compliant compiler. Minimum required CMake version has been raised to 3.5.1.
Opencv 采用c++11 库和兼容编译器，需要的cmake版本最低要3.5.1.
A lot of C API from OpenCV 1.x has been removed.
许多1.X版本的C接口被移除。
Persistence (storing and loading structured data to/from XML, YAML or JSON) in the core module has been completely reimplemented in C++ and lost the C API as well.
核心模块重新用c++和许多C接口进行了封装。
New module G-API has been added, it acts as an engine for very efficient graph-based image procesing pipelines.
加入了新模块G-API，基于图形工作，作为非常高效的图像处理通道。
dnn module now includes experimental Vulkan backend and supports networks in ONNX format.
The popular Kinect Fusion algorithm has been implemented and optimized for CPU and GPU (OpenCL)
DNN模块包含Vulkan 后端支持ONNX格式的网络。非常流程的kInect fusion 算法在OpenCL中进行了封装和优化。
QR code detector and decoder have been added to the objdetect module
QR二维码检测和解码加入了Objdetect 模块。
Very efficient and yet high-quality DIS dense optical flow algorithm has been moved from opencv_contrib to the video module.
高效和高质量的DIS 密集光流算法从opencv_contrib转移到video模块。
More details can be found in previous announces: 4.0-alpha, 4.0-beta, 4.0-rc and in the changelog
Branch 3.4 will be switched to maintanence mode: only bugfixes and light features will be accepted. BTW, release 3.4.4 is ready too!