Skip to main content

OpenVX implementation

Project description

PyVX is an implementation of OpenVX in python. OpenVX is a standard for expressing computer vision processing algorithms as a graph of function nodes. This graph is verified once and can then be processed (executed) multiple times. This implementation gains its performance by generating C-code during the verification phase. This code is compiled and loaded dynamically and then called during the process phase.

To use this python implementation as an OpenVX backend from a C program, a shared library is provided. This library embeds python and provides an C API following the OpenVX specification. That way the C program does not need to be aware of the fact that python is used. Also, any C program following the OpenVX specification will be compilable with this backend.

Further details are provided in the Documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for PyVX, version 0.2.4
Filename, size File type Python version Upload date Hashes
Filename, size PyVX-0.2.4.tar.gz (56.8 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page