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OpenCV Version

Updated April 10, 2023

OpenCV Version

Introduction to OpenCV Version

The OpenCV is the acronym of the open-source computer vision library used for virtual machine vision or eyesight. It is using in the computer or virtual machines for real-time applications. It is an open-source library used for video operating, image processing, and analysis vision applications. The OpenCV version is using to detect the object using image processing, save and display videos, and analyze and control the motion visions. It is the cross-platform library used for real-time vision and machine learning for robotics and the medical field. The OpenCV is an open-source library of images and videos for real-time computer applications. The users need to updated and adding new features to create the application effectively.

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Different OpenCV Versions

The main OpenCV versions are below according to release time and year.

1. OpenCV Alpha Version

  • It was released in 2000.
  • It is the first version of the open-source library to create more effective images and videos.
  • The alpha versions are based on color changing, blending, and preserve the part of images using pixels.
  • The alpha version focuses on blending the two images without any disturbance of the image pixels.
  • The two images are placed in one place and create one image with setting color contrast.
  • The videos or images are collaborating and avoid overlapping of the images.
  • The latest alpha versions are OpenCV – 3.0.0 alpha and OpenCV – 4.0.0 alpha.

2. OpenCV Beta Version

  • It was released from 2001 to 2005.
  • The beta version focused on the contrast of the images and the brightness of the images and videos.
  • The different OpenCV beta versions were released between 2001 and 2005 year.
  • The OpenCV beta is mainly focused on the contrast of the images or video’s background and color co-ordinations.
  •  The beta is set the brightness of the images and videos using pixels of the images.
  • The beta version is to operate and access the pixel values of the images and initialize with the matrix of the videos or images.
  • The latest beta versions are OpenCV – 3.0.0 beta and OpenCV – 4.0.0 beta.

3. OpenCV – 1.X Version

  • The OpenCV – 1.0 version released in the 2006.
  • The OpenCV – 1.0 is released in 2006 and OpenCV -1.1 version released in 2008.
  • The OpenCV – 1.0 version created using c language and adds many advanced image processing features.
  • It mainly focused on face detection and computational geometry using image processing.
  • The OpenCV – 1.0 version was used for motion templates for videos or images, SIFT features, and camera standardization.
  • It is focused on the Lucas – Kanade method for the movement of the image objects.
  • The OpenCV – 1.0 version is useful for decision-making trees, boosting methods of machine learning.

4. OpenCV – 2.X Version

  • The OpenCV-2.0 version released in the 2009.
  • The OpenCV 2.0 is based on the C++ library from 2009 – 2010.
  • The OpenCV – 2.3.0, OpenCV – 2.4.9, OpenCV – 2.4.10, OpenCV – 2.4.11, OpenCV – 2.4.12, and OpenCV – 2.4.13 are available for all browsers and operating system.
  • The OpenCV – 2.x version binding java and python automatically.
  • It is based on data structure, multidimensional array, linear and non-linear image filtering, and video analyst.
  • The OpenCV 2 version is used for geometrical image transformation like resize, color, space, etc.
  • The OpenCV 2 version focus on video motions modifying, background modification, and basic UI functions.
  • It was started with GPU acceleration for real-time applications in the computers.
  •  It was started to set the functions easily in machine learning.
  • It is using for Java API and android manager for images and video operations.

5. OpenCV – 3.X Version

  •  The OpenCV-3.0 version released in the 2015.
  • The OpenCV – 3.0.0, OpenCV – 3.1.0, OpenCV – 3.2.0, OpenCV – 3.3.0, OpenCV – 3.4.0, OpenCV – 3.4.12, and OpenCV – 3.4.13 are available for all browsers and operating system.
  • The OpenCV – 3.0.0 Alpha, OpenCV – 3.0.0 Beta, and OpenCV – 3.0.0 RC1 are available for all browsers and operating system.
  • It contains all basic functions with core, image processing, video input/output, image filtering, camera calibration, and video analysis.
  • It is used for machine learning with High-level GUI, video or image stabilization, and deep neural network module.
  •  3.x version is focused on 3D image object recognition, improve foreground and background segmentation of the images, medical images, and vision method.
  • It was started with deep RGB image processing and text recognition or detection.
  • It extends the image processing and object detection features and modules.
  • It starts super 3D visualization and better image resolutions using image pixels.

6. OpenCV – 4.X Version

  • The OpenCV-4.0 version released in the 2018.
  • The latest version of the OpenCV is 4.x with updated modules and an advanced system.
  • The OpenCV – 4.0.0, OpenCV – 4.1.0, OpenCV – 4.1.1, OpenCV – 4.1.2, OpenCV – 4.2.0, OpenCV – 4.3.0, OpenCV – 4.4.0 and OpenCV – 4.5.0 are available for all browsers and operating system.
  • The OpenCV – 4.0.0 Alpha, OpenCV – 4.0.0 Beta, and OpenCV – 4.0.0 RC1 are available for all browsers and operating systems.
  • The OpenCV – 4.5.1 version is released in 2020 with advanced features of the library.
  • The OpenCV 4.x is based on C++ 11 library and the OpenCV – 1.x version has been removed.
  • The OpenCV 4.x is the store and load the data from XML and JSON files.
  • The OpenCV 4.x is added to the graph-based image processing pipeline (G-API).
  • The OpenCV 4.x is focused on QR code detecting and decoding using the “objdetect” module.
  • The OpenCV 4.x is supporting to the features of deep learning.

Conclusion

The OpenCV is useful for video and image modification in the computer and virtual machines. The OpenCV is useful in the medical, robotics, electronics, visionary machine systems with wireless or wired connections. The OpenCV is helping to detect, store, retrieve, and load the images or videos in the virtual machines with advanced modifications.

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