Examples of using Opencv in English and their translations into German
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Real-time image processing with Halcon and OpenCV Vision Module.
With OpenCV only two lines of source code are required for this.
Alternatively, the open library OpenCV can also be used.
Here we will be focusing on python implementation of OpenCV.
Copyright(C) 2015-2016, OpenCV Foundation, all rights reserved.
Industrial image processing with Halcon or OpenCV in real-time.
The library OpenCV served as a basis for image processing.
The tutorial describes the implementation of this use case with OpenCV.
With the library OpenCV, You can perform many treatments on your images.
Image capture with GigE Vision andUSB3 Vision as well as image processing with Halcon and OpenCV.
Combines ORiN2& OpenCV to directly program DENSO robots& vision applications.
The so installed version is not the latest one, which can be downloaded at OpenCV Downloads.
The software has been tested against OpenCV 2.3.1(on Debian wheezy), 2.4.1(Raspbian) and 2.4.8 Ubuntu 14.04.
The latest version of Kithara RealTime Suitenow also supports automatic parallelization with OpenCV 3.0.
To recognize the digits we use the contour detection of OpenCV, which is implemented in the function findContours.
OpenCV(Open Computer Vision) is a powerful and comfortable environment for the realization of a variety of projects in the field of image processing.
The namespace prefix cv encapsulates most classes and functions of OpenCV to avoid name collisions with other libraries.
In any case, one should visit the OpenCV documentation page after the installion and download the Reference Manual for the appropriate version.
It is free to use, including commercial applications, butits functionality is limited to fundamental operators which are available also in other free libraries like OpenCV or CImg.
That which recognizes our eye immediately as a line, is for OpenCV only an array of bright pixels on a black background at this time.
Navigation is based on fusing data coming from theIMU, a mathematical model of the system and a tag detection which was implemented on the Raspberry Pi Zero using both OpenCV and ROS.
Plausibility check and database are not implemented with OpenCV, but are also mentioned in this tutorial for the sake of completeness.
Both processors contain Floating Point Units that supports a wide range of embedded image processing softwaresuch as Common Vision Blox Embedded, OpenCV or customer specific application code.
It allows saving and loading the most built-in OpenCV simple and complex data types as well as numerical and textual standard C data types.
The German camera manufacturer provides a large selection of libraries like Common Vision Blox Embedded, HALCON Embedded,EyeVision and OpenCV, thus facilitating solutions for the most diverse requirements.
We held a short talk at the BarCamp 2010 with demos of OpenCV face recognition, Google Goggles, the underlying algorithms, their limitations in practice and theory based on several of our applications.
For robot control and sensor data processing you are familiar to use appropriate frameworks such as ROS, OpenCV and PCL German basic knowledge completes your profile.
The captured images are transferred via the cameras' Gigabit Ethernet interface(GigE Vision) to the host computers, where they are analyzed using proprietary imagingsoftwarethat Com-N-Sense programmed especially for this application, using elements of OpenCV.
Software and libraries like Common Vision Blox Embedded, EyeVision, GStreamer,HALCON Embedded, OpenCV, and the VM_LIB cover the whole range of software development.
By integrating the freely available OpenCV library, the concept for using the framework allows the modules to be combined in a way that is easy to understand. The library provides many computer vision algorithms and a complete development environment(including compiler, debugger, code editor, etc.) created for further simplification and a decrease in the familiarisation effort required allowing program development to be commenced without costs or installation effort.