Modern OpenGL bindings for C#.
AMD MIVisionX is a computer vision toolkit built around a highly optimized, conformant open-source implementation of the Khronos OpenVX™ 1.3.2 specification. As of the 4.0.0 release, MIVisionX ships three components: the AMD OpenVX™ engine, the AMD RPP OpenVX extension, and the RunVX graph executor — across CPU, HIP, and OpenCL backends.
AMD OpenVX Core -- a sub-module of amdovx-modules:
OpenVX Samples to use with any conformant implementation of OpenVX
AMD OpenVX modules: such as, neural network inference, 360 video stitching, etc.
AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.
MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
OpenVX API and Extension Registry.
ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
Graph-based C++ runtime for building and executing AI, ML, and computer vision pipelines across devices.
Tool for code generation based on openvx graph representations. (THIS PROJECT IS NO LONGER MAINTAINED)
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit.
Tools to convert Caffe / NNEF / ONNX pre-trained neural net models to an OpenVX Graph
OpenVX for Raspberry Pi
This project has scripts to set up, build and test installation of AMD ROCm MIVisionX
OpenVX in Rust - an experiment
MIVisionX Python Inference Analyzer uses pre-trained ONNX/NNEF/Caffe models to analyze inference results and summarize individual image results
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