New in OpenVX 1.3

Now that the OpenVX API has grown to an extensive set of functions, there is interest in creating implementations that target a set of features rather than covering the entire OpenVX API. In order to offer this option while still managing the API to prevent excessive fragmentation regarding which implementations offer which features, the OpenVX 1.3 specification defines a collection of feature sets that form coherent and useful subsets of the OpenVX API. These feature sets include the following:

Base feature set (Basic graph infrastructure)

Vision (OpenVX 1.1 equivalent vision functions)

Enhanced Vision (Vision functions introduced in OpenVX 1.2)

Neural Network (OpenVX 1.2 equivalent neural-network functions, plus the neural network extension and the tensor objects)

NNEF (Kernel import plus the tensor objects)

Binary Image support (U1)

Deployment feature set (for safety critical usage)

Along with the release of OpenVX 1.3, the pipelining, neural network, and import kernel extensions are being updated. For the list of all extensions and features, go to the OpenVX registry .