The OpenVX framework provides a mechanism to add new vision functions to OpenVX by 3rd party vendors. This project has below OpenVX modules and utilities to extend AMD OpenVX (amd_openvx) project, which contains the AMD OpenVX Core Engine.
- amd_loomsl: AMD Radeon LOOM stitching library for live 360-degree video applications
-
amd_media:
vx_amd_mediais an OpenVX AMD media extension module. This module has mainly two OpenVX extension nodes.com.amd.amd_media.decodenode for video/jpeg decoding andcom.amd.amd_media.encodenode for video encoding -
amd_nn: OpenVX neural network module. Learn more about neural net workflow in Neural Net Model Compiler & Optimizer
-
amd_opencv: OpenVX module that implements a mechanism to access OpenCV functionality as OpenVX kernels
-
amd_rpp: OpenVX extension providing an interface to some of the Radeon Performance Primitives (RPP) functions. This extension is used to enable rocAL to perform image augmentation.
-
amd_winml: WinML extension will allow developers to import a pre-trained ONNX model into an OpenVX graph and add hundreds of different pre & post processing
vision/generic/user-definedfunctions, available in OpenVX and OpenCV interop, to the input and output of the neural net model. This will allow developers to build an end to end application for inference.
