OPENCV in English translation

• opencv

Examples of using Opencv in Chinese and their translations into English

今天的博客中，我们学习了如何使用深度学习+OpenCV+视频流来执行实时目标检测。
In today's blog post we learned how to perform real-time object detection using deep learning+ OpenCV+ video streams.

无论你是想建立一个简单的还是复杂的视觉应用程序，《学习OpenCV》都是你入门的必备教材。
Whether you want to build simple or sophisticated vision applications, Learning OpenCv is the book you need to get started.

而在具体应用方面，Python的AI库在当今的软件中扮演重要的角色，包括NLYK，PyBrain，OpenCV，和AIMA。
Python's AI Library plays an important role in today's software, including NLYK, PYBRAIN, OPENCV, and Alma.

学习难度远远小于OpenCV，并且正如他们的标语所说，“它使计算机视觉变得简单”。
The learning curve is substantially smaller than that of OpenCV, and as their tagline says,“it's computer vision made easy”.

本章我们就是要使用OpenCV中的各种算法来查找图像的特征，然后描述它们，对它们进行匹配等。
So in this module, we are looking to different algorithms in OpenCV to find features, describe them, match them etc.

我们也需要安装NumPy,因为OpenCV的Python接口通过Numpy的多维数组来表示图像。
We also need to install NumPy since the OpenCV Python bindings represent images as multi-dimensional NumPy arrays.

重要：确定你在cv虚拟环境中，OpenCV也要根据该环境中的Python和NumPy中进行编译。
Important: Make sure you're in the cv virtual environment so OpenCV is compiled against the virtual environment Python and NumPy.

OpenCV所有新开发和算法都采用C++接口。
All of the new developments and algorithms in OpenCV are now developed in the C++ interface.

在等待软件安装的过程中，我查看了OpenCV的GitHub主页上的示例源码。
While I was waiting for those to install, I looked at the example code on the OpenCV bindings on their GitHub page.

虽然这样仍然只是一种可能性，因为绝大多数的OpenCV函数将自动的分配输出数据所需的内存。
While doing this is still a possibility, most of the OpenCV functions will allocate its output data automatically.

OpenCV-Python是用于图像处理的PythonAPI，结合了OpenCVC++API和Python语言的最佳特性。
OpenCV-Python: OpenCV-Python is the Python API for OpenCV, combining the best qualities of the OpenCV C++ API and the Python language.

RGB最常用，因为跟我们的眼睛识别方式类似，但需要注意的是OpenCV显示系统用的是BGR色彩.
RGB is the most common as our eyes use something similar, but keep in mind that the OpenCV display system uses BGR colors.

相反，我打开编辑器很快就编写了一个Python脚本，用OpenCV来执行模糊检测。
Instead, I opened up an editor and coded up a quick Python script to perform blur detection with OpenCV.

本书是一本实用的教程，涵盖了不同层面的各种示例，教您OpenCV的不同功能及其实际实现。
This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation.

需要注意的是，OpenCV将颜色读取为BGR（蓝绿色红色），但大多数计算机应用程序读取为RGB（红绿蓝）。
It is important to note that OpenCV reads colors as BGR(Blue Green Red), where most computer applications read as RGB(Red Green Blue).

话说，自从RaspberryPi2发布以来，我收到了很多请求，要求我能写一个在它上面安装OpenCV和Python的详细说明。
Anyway, since the announcement of the Raspberry Pi 2 I have been getting a lot of requests to provide detailed installation instructions for OpenCV and Python.

我们加载自己的序列化模型，提供对自己的prototxt和模型文件的引用(第30行)，可以看到在OpenCV3.3中，这非常简单。
We load our serialized model, providing the references to our prototxt and model files on Line 30- notice how easy this is in OpenCV 3.3.

在2012年8月，OpenCV的支持由一个非盈利性组织（OpenCV.org）来提供，并保留了一个开发者网站和用户网站。
In August 2012, support for OpenCV was taken over by a non-profit foundation OpenCV. org, which maintains a developer and user site.

OpenCV（开源计算视觉.
OpenCV Open Source Computer Vision.

下载和安装OpenCV.
Downloading and installing OpenCV.