rocDecode is a high performance video decode SDK for AMD hardware

The AMD rocAL is designed to efficiently decode and process images and videos from a variety of storage formats and modify them through a processing graph programmable by the user.

rocPyDecode is a set of Python bindings to rocDecode C++ library which provides full HW acceleration for video decoding on AMD GPUs.

Radeon Performance Primitives (RPP) library is a comprehensive high performance computer vision library for AMD (CPU and GPU) with HIP and OpenCL back-ends.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Documentation for vLLM Dev Channel releases

MIVisionX Infrastructure for Neural Net Training and Inference with Optimized Data Augmentation through RALI

TensorFlow models repository with ROCAL support

This project shows how to run tiny yolo v2 with AMD inference engine for python

Tools to convert Caffe / NNEF / ONNX pre-trained neural net models to an OpenVX Graph

IEEE SPS Machine Learning Training tutorial

MIVisionX Python Inference Analyzer using pre-trained ONNX/NNEF/Caffe models to analyze images

MIVisionX Python ML Model Validation tool to verify pre-trained ONNX/NNEF/Caffe models

MIVisionX Python Calibration Tool using pre-trained ONNX/NNEF/Caffe models to analyze, summarize & calibrate for INT8 on images

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

This tutorial goes thorugh the steps for creating an inference object detection application using MIVIsionX.

This project has scripts to set up, build and test installation of Radeon MIVisionX

Live Image Classification

AMD OpenVX modules

capture python app for running inference

Caffe: a fast open framework for deep learning.

Complete software system for real time stock price prediction.