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 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.
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit.
Tool for code generation based on openvx graph representations. (THIS PROJECT IS NO LONGER MAINTAINED)
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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