OpenCV with Qt: Difference between revisions

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'''OpenCV''' is a cross-platform, open-source, commonly used computer vision library. It uses C++ as its primary interface, but other languages such as C and Python can also be used. OpenCV was originally developed by Intel back in 1999 and is now maintained by Willow Garage and ItSeez.
'''OpenCV''' is a cross-platform, open-source, commonly used computer vision library. It uses C++ as its primary interface, but other languages such as C and Python can also be used. OpenCV was originally developed by Intel back in 1999 and is now maintained by Willow Garage and ItSeez.


OpenCV was originally written in C for maximum performance and portability.<br /> OpenCV v2.0 was released in October of 2009 and includes major improvements in C++ interface.
OpenCV was originally written in C for maximum performance and portability.
OpenCV v2.0 was released in October of 2009 and includes major improvements in C++ interface.


Latest releases introduced support to <span class="caps">GPU</span> calculation (<span class="caps">CUDA</span>, OpenCL), Android platform, iOS platform and Linux Embedded platforms.
Latest releases introduced support to GPU calculation (CUDA, OpenCL), Android platform, iOS platform and Linux Embedded platforms.


OpenCV main strengths are computational efficiency with a focus on near-real-time applications.<br /> This makes OpenCV perfectly suitable for writing applications on mobile platforms such as robots and cell phones.
OpenCV main strengths are computational efficiency with a focus on near-real-time applications.
This makes OpenCV perfectly suitable for writing applications on mobile platforms such as robots and cell phones.


Face recognition, Object Identification and Augmented Reality are some of the examples of OpenCV usage.
Face recognition, Object Identification and Augmented Reality are some of the examples of OpenCV usage.


'''Installation guides'''<br /> Installers for Linux, Mac and Windows are readily available [http://opencv.org/downloads.html here] ''[opencv.org]''.
'''Installation guides'''
 
Installers for Linux, Mac and Windows are readily available [http://opencv.org/downloads.html here]{{dead link}} [opencv.org]
* [http://docs.opencv.org/doc/tutorials/introduction/linux_install/linux_install.html?highlight=installation Linux installation guide] ''[docs.opencv.org]''
* [http://docs.opencv.org/doc/tutorials/introduction/linux_install/linux_install.html?highlight=installation Linux installation guide] [docs.opencv.org]
* [http://docs.opencv.org/doc/tutorials/introduction/windows_install/windows_install.html?highlight=installation Windows installation guide] ''[docs.opencv.org]''
* [http://docs.opencv.org/doc/tutorials/introduction/windows_install/windows_install.html?highlight=installation Windows installation guide] [docs.opencv.org]
* [https://wiki.qt.io/How_to_setup_Qt_and_openCV_on_Windows How_to_setup_Qt_and_openCV_on_Windows] [wiki.qt.io]
* [https://wiki.qt.io/How_to_setup_Qt_and_openCV_on_Windows_with_MSVC2017 How_to_setup_Qt_and_openCV_on_Windows_with_MSVC2017] [wiki.qt.io]


'''Documentation'''
'''Documentation'''
 
* [http://docs.opencv.org/ Official documentation] [docs.opencv.org]
* [http://docs.opencv.org/ Official documentation] ''[docs.opencv.org]''
* For books on OpenCV see [[Books]] and [[Non-Qt Books#OpenCV]].
* For more in-depth info about OpenCV there’s a 500+ page book published by O’<span class="caps">REILLY</span> about OpenCV 2.0 [http://www.amazon.com/dp/0596516134 Learning OpenCV: Computer Vision with the OpenCV Library] ''[amazon.com]''
* Packt Publishing realized a lot of good book [http://www.packtpub.com/books?keys=opencv available here] ''[packtpub.com]''.
 
'''Tutorials'''<br /> There is an open source Widget based on OpenGL available on an italian blog (English tutorial and documentation available):
 
* [http://www.robot-home.it/blog/software/tutorial-opencv-qt-opengl-widget-per-visualizzare-immagini-da-opencv-in-una-gui-con-qt/?lang=en Part 1: base tutorial] ''[robot-home.it]''
* [http://www.robot-home.it/blog/software/tutorial-opencv-qt-opengl-widget-per-visualizzare-immagini-da-opencv-in-una-gui-con-qt-seconda-parte/?lang=en Part 2: how to use] ''[robot-home.it]''
 
'''Qt based demos'''
 
* [http://www.robot-home.it/blog/software/tutorial-opencv-qt-comprimere-un-immagine-in-memoria/?lang=en Image Compression] ''[robot-home.it]''
* [http://www.robot-home.it/blog/software/tutorial-opencv-riconoscimento-delle-facce/?lang=en Face Detection] ''[robot-home.it]''

Latest revision as of 07:13, 30 April 2020

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OpenCV is a cross-platform, open-source, commonly used computer vision library. It uses C++ as its primary interface, but other languages such as C and Python can also be used. OpenCV was originally developed by Intel back in 1999 and is now maintained by Willow Garage and ItSeez.

OpenCV was originally written in C for maximum performance and portability. OpenCV v2.0 was released in October of 2009 and includes major improvements in C++ interface.

Latest releases introduced support to GPU calculation (CUDA, OpenCL), Android platform, iOS platform and Linux Embedded platforms.

OpenCV main strengths are computational efficiency with a focus on near-real-time applications. This makes OpenCV perfectly suitable for writing applications on mobile platforms such as robots and cell phones.

Face recognition, Object Identification and Augmented Reality are some of the examples of OpenCV usage.

Installation guides Installers for Linux, Mac and Windows are readily available hereTemplate:Dead link [opencv.org]

Documentation

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