GstCUDA - GstCUDA Add-Ons

GstCUDA
Features and Limitations
Supported Platforms
Evaluating GstCUDA
Building and Installation Guide
Project Structure
GstCUDA Framework
libGstCUDA API GstCUDABaseFilter GstCUDABaseMISO GstCUDABaseSIMO GstCUDABaseMIMO
GstCUDA Quick Prototyping Elements
cudafilter cudamux cudademux cudamimo
GstCUDA Algorithm Developer’s Guide
GstCUDA Add-Ons
cudadebayer
Examples
cudafilter cudafilter: NVMM direct mapping cudafilter: Unified memory allocator cudamux cudamux: NVMM direct mapping cudamux: Unified memory allocator cudadebayer opencv opencvwarp opencvfilter
Performance Profiling
Contact Us

This page describes the GstCUDA ad-ons.

Description

RidgeRun offers ad-ons for GstCUDA. Those consists in full complete and ready to use elements that executes a specific CUDA algorithm that is integrated into the element code. Those ad-ons elements are based on the GstCUDA framework, and clearly shows the potential of this framework being used to generate a final product.

Each add-on is sold separately. They are not included in the GstCUDA framework, but require it to work. So, to acquire an add-on you must have purchased GstCUDA at least once.

Over time, more ad-ons will be added. If you are interested in a new different ad-on, that isn't provided yet, please don't hesitate in contact us.

Ad-ons Index

The following index gives a detailed description of the GstCUDA ad-ons.