OpenVX

OpenVX
Developer(s) Khronos Group
Stable release
1.2 / May 1, 2017 (2017-05-01)
Written in C
Operating system Cross-platform
Platform Cross-platform
Type API
Website www.khronos.org

OpenVX is an open, royalty-free standard for cross platform acceleration of computer vision applications. It is designed by the Khronos Group to facilitate portable, optimized and power-efficient processing of methods for vision algorithms. This is aimed for embedded and real-time programs within computer vision and related scenarios. It uses a connected graph representation of operations.

Overview

OpenVX specifies a higher level of abstraction for programming computer vision use cases than compute frameworks such as OpenCL. The high level makes the programming easy and the underlying execution will be efficient on different computing architectures. This is done while having a consistent and portable vision acceleration API.

OpenVX is based on a connected graph of vision nodes that can execute the preferred chain of operations. It is possible to optimize the underlying implementation through various techniques, for example: acceleration on various processing units or dedicated hardware. This architecture facilitates applications programmed in OpenVX on different systems with different power and performance, including battery-sensitive, vision-enabled, wearable displays.

OpenVX is complementary to the open source vision library OpenCV. OpenVX in some applications offer a better optimized graph management than OpenCV.

History

References

  1. ↑ http://www.phoronix.com/scan.php?page=news_item&px=OpenVX-1.2-Released
  2. ↑ https://www.khronos.org/news/press/openvx-1.2-specification-cross-platform-acceleration-power-efficient-vision
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.