QVision is an Open Source library created for the development of computer vision, video or image processing and for scientific computing applications.
The library is based on the Qt application framework, so it is an object-oriented and cross-platform library.
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The library consists of a set of tools and algorithms for the detection, segmentation, tracking, classification, and 3D reconstruction of
objects and surfaces. Moreover, QVision offers modules for the area of speech processing.
QVision API:
QVision offers an API to the developers and allows them to integrate the different libraries of the library into their applications.
QVision Design:
The purpose of QVision is to provide a clear and clean API (Application Programming Interface) to be used by the developers. The library
exposes a number of algorithms which are supported by the library for the different processing procedures.
Libraries used by QVision:
QVision API Support:
Use the API mode of the QVision to develop your own applications that will take advantage of the functionalities of the different algorithms
provided by the library. The QVision API offers several API modes based on different programming languages (C++, Java).
You can also use the Java API to develop your applications that require a Java Virtual Machine (JVM) that runs on Java-based
platforms like Windows, Linux, Mac OS X and Solaris. Using the C++ API, you can develop applications that run on
Windows and Linux platforms using the C++ compiler (the library comes with a built-in C++ compiler).
Multi-platform Support:
The API of the QVision library is based on a client-server architecture, so the different platform-specific interfaces are responsible
for interfacing the library and the application. The library can be used on different platforms (Windows, Linux, Mac OS X and Solaris)
using different programming languages.
This is a discussion on QVision library | Library home within the Python Programming forums, part of the General Programming Boards category; Hello everyone,
would like to know if anyone has used QVision, or have any comments or any experiences with the library.
Thanks,
Glen T
[… ]
FileBackups,
Have you tried PIL for creating PNGs from python?
The answers to that thread should help you, and also the python-fu library would be a good starting point if you are new to PIL.
Regards
Sir =]]>
Programming/Application Architecture: PythonQVision libraryTue, 17 Sep 2009 07:29:20 GMT
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QVision is available with pre-compiled binary packages or with a source code distribution that includes the examples and all the source files necessary for its use.
QVision has an extensive documentation and a very active community of users and developers.
QVision is now hosted on Qt Company’s GitHub organization.
LibQVM is an open source C++ module for computer vision, image processing, motion, tracking, and game development.
LibQVM is a C++ module with C interface for Linux, and is under BSD license.
LibQVM supports the following open source C/C++ applications:
*cv::ml
*cv::imgproc
*OpenCV
*pcl::
*Sketch-completion tool
LibQVM defines an interface, a set of base classes, and a set of interfaces that allow its classes to be used independently of other algorithms.
Developers of new functions may extend the class with templates, without the need to be familiar with the internals of the library.
LibQVM is based on the Qt library, so it is an object-oriented and cross-platform library.
GIT:
Dlib is a C++ library for high-level applications. The library is C++, licensed under the MIT license (3-clause), and written in C++98 and C++03 standards.
Dlib is built with Qt and supports the Qt’s and GTK+’s Qt GUI toolkit and widget framework.
Dlib supports:
2D and 3D image and video processing (contours, detection, segmentation, tracking, etc.)
Object detection and recognition (i.e., face, iris, license plate, vehicle, etc.)
Text analysis and decoding (i.e., handwriting, OCR, PDF, etc.)
Real-time and efficient image and video processing (e.g., color space conversion, multi-scale resizing, rotation, scaling, resizing, etc.)
Image transmission (i.e., encryption and decryption)
Graphical user interfaces (GUI) (i.e., Qt, wxWidgets, Tk, Cocoa, Gtk, etc.)
Dlib supports
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QVision Crack
———————————————————–
QVFB is the sample application for Qt s QVision library.
QVFB is a Bluetooth based Frame grabber and Video-Server application.
QVFB is running two applications namely QVFB Player and QVFB Server.
QVFB Server is responsible for setting up the streaming scenario for real-time
or non real-time applications. This server application can be used to provide the streaming mechanism in real-time and non real-time applications.
QVFB player application generates frames in frames per second and based on the frames the application provides the video stream to the connected devices. QVFB player can be used in applications like digital cameras.
The sample application for Qt s QVision library is released under LGPL v3.0 License.
QVision is an Open Source library created for the development of computer vision, video or image processing and for scientific computing applications.
The library is based on the Qt application framework, so it is an object-oriented and cross-platform library.
QVision Description:
———————————————————–
QVFB is the sample application for Qt s QVision library.
QVFB is a Bluetooth based Frame grabber and Video-Server application.
QVFB is running two applications namely QVFB Player and QVFB Server.
QVFB Server is responsible for setting up the streaming scenario for real-time
or non real-time applications. This server application can be used to provide the streaming mechanism in real-time and non real-time applications.
QVFB player application generates frames in frames per second and based on the frames the application provides the video stream to the connected devices. QVFB player can be used in applications like digital cameras.
The sample application for Qt s QVision library is released under LGPL v3.0 License.
QVFB is an open source application that uses Qt5 Sockets and Qt5 SPS (Server/Player Servo-Control) to operate as a Bluetooth frame grabber (frame grabber) and video server for data transfer between the client and server.
QVFB is an open source application that uses Qt5 Sockets and Qt5 SPS (Server/Player Servo-Control) to operate as a Bluetooth frame grabber (frame grabber) and video server for data transfer between the client and server.
QVFB is an open source application that uses Qt5 Sockets and Qt5 SPS
What’s New in the?
QVision is a library designed for the development of computer vision, video or image processing and scientific applications, that communicates with your other application using your programming language (C++, Object Oriented, Java, C#, any other).
QVision’s main advantages are:
* Free to use
* Very easy to use (classes are very simple)
* Very easy integration into your application
* Very easy to process and query large amounts of data
* Many methods
* Simplicity of most operations
* Much more
qVision Documentation:
QVision is fully documented in each file and includes README files with information about the project.
QVision Documentation:
QVision’s documentation is structured in the following way:
qVision Documentation.
QVision’s integration into an application is simple and is provided by the QVision API.
QVision’s documentation is available in the qvision homepage:
qvision Documentation.
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The XML-based format of Qt Simple Network Model (Qt SNM) allows for the creation of models with a high degree of flexibility and reusability.
The goal of SNM is to ease the development of a network model by giving Qt SNM developers the ability to create a model without detailed knowledge of the underlying network and data-flow programming techniques. Qt SNM supports an XML format that is simple to read and to write.
Once a model is in XML, it can be loaded by a Qt SNM model viewer, written in Qt, and then modified by an XML editor for the benefit of presentation and debugging.
Qt SNM is closely based on Qt SNM 2.0, which was created based on the open-source Open Modeling Framework that is the main toolkit behind the OPENMODEL project. This close relationship allows for SNM to take advantage of many of the same programming features as OpenModel including
The following subsections describe the XML format for the each of the SNM objects.
ClientConnection, ServerConnection, and ServerSendModel
Each of these objects is limited to a single TCP connection. The clients don’t send data to the server, and the server notifies the clients of the IP address and port the client must use in order to receive its data.
A ServerConnection object represents the server. The ServerConnection object has
System Requirements For QVision:
Windows 7 (32bit, 64bit, and 32bit Vista)
(32bit, 64bit, and 32bit Vista) 2GB or more RAM
NVIDIA or ATI video card with up to 32MB of video memory
Intel Core2 Duo or Core2 Extreme processor
Intel Celeron or AMD Sempron processor
Sound card with up to 48 voices
Intel HD Audio card
100% free disk space (otherwise installation will fail)
Internet Explorer 10, Google Chrome, Mozilla Firefox
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