OpenCV with Qt: Difference between revisions
Henri Vikki (talk | contribs) No edit summary |
(Links to books articles; LangSwitch) |
||
| Line 1: | Line 1: | ||
{{LangSwitch}} | |||
'''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. | ||
| Line 19: | Line 19: | ||
'''Documentation''' | '''Documentation''' | ||
* [http://docs.opencv.org/ Official documentation] [docs.opencv.org] | * [http://docs.opencv.org/ Official documentation] [docs.opencv.org] | ||
* For | * For books on OpenCV see [[Books]] and [[Non-Qt Books#OpenCV]]. | ||
'''Tutorials''' | '''Tutorials''' | ||
Revision as of 19:14, 27 June 2015
En Ar Bg De El Es Fa Fi Fr Hi Hu It Ja Kn Ko Ms Nl Pl Pt Ru Sq Th Tr Uk Zh
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 here [opencv.org]
- Linux installation guide [docs.opencv.org]
- Windows installation guide [docs.opencv.org]
Documentation
- Official documentation [docs.opencv.org]
- For books on OpenCV see Books and Non-Qt Books#OpenCV.
Tutorials There is an open source Widget based on OpenGL available on an italian blog (English tutorial and documentation available):
- Part 1: base tutorial [robot-home.it]
- Part 2: how to use [robot-home.it]
Qt based demos
- Image Compression [robot-home.it]