Kiriti Gowda

AI Agent Dashboard

OpenVX 1.3.1 Vision Conformant Implementation in Rust - C API compatible

openvx-mark is a vendor-agnostic benchmark suite for OpenVX implementations.

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

Dynamic schedule management framework for soft-real-time jobs on GPU based architectures

OpenVX for Raspberry Pi

Khronos OpenVX

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

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

MIVisionX Python Inference Analyzer uses pre-trained ONNX/NNEF/Caffe models to analyze inference results and summarize individual image results

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

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

Live Image Classification

The HIP Environment and ROCm Kit - A lightweight open source build system for HIP and ROCm

This project is focused on computer vision (CV) + machine learning (ML) for biomedical applications

super repo for rocm libraries

super repo for rocm systems projects

OpenVX Conformance Test Suite

Official doxygen git repository

rocJPEG is a high-performance jpeg decode SDK for decoding jpeg images using a hardware-accelerated jpeg decoder on AMD’s GPUs.

rocDecode is a high performance video decode SDK for AMD hardware

AMD ROCm™ Software - GitHub Home

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

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

rocCV is an efficient GPU-accelerated library for image pre- and post-processing, powered by AMD's HIP platform

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.

Mirror of https://git.ffmpeg.org/ffmpeg.git

OpenVX API and Extension Registry.

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

OpenVX sample implementation

The NNEF Tools repository contains tools to generate and consume NNEF documents

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AMD's Machine Intelligence Library

ROCm Platform Runtime: ROCr a HPC market enhanced HSA based runtime

OpenVX API and extension specification documents

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

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A collection of (mostly) technical things every software developer should know

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Surround360 is Facebook's open source hardware and software for capturing stereoscopic 3D 360 video for VR. The repo contains hardware designs, as well as software for camera control and rendering.

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Tensors and Dynamic neural networks in Python with strong GPU acceleration

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Khronos OpenVX Tutorial Material

A Compilation of all MIVisionX applications available open-source

OpenVX Running on a Raspberry Pi

Markerless tracking of user-defined features with deep learning

MIVisionX Python Inference Application using pre-trained ONNX/NNEF/Caffe models

Dockerfiles and scripts for ONNX container images

ROCm Machine Learning installer

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Caffe: a fast open framework for deep learning.

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

Torch implementation of neural style algorithm

Convert TensorFlow models to ONNX

A platform to visualize the deep learning process and result.

Samples and Tools for Windows ML.

AMD OpenVX modules

A (very) simple UI lib built on top of OpenCV drawing primitives

AMD OpenVX

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

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format

Compiler for Neural Network hardware accelerators

Open Neural Network Exchange

Caffe models for use with Synopsys DesignWare EV6x Processors

Models and examples built with TensorFlow

capture python app for running inference

CL Offline Compiler : Compile OpenCL kernels to HSAIL

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

OpenCL API Detour

Visualizer for deep learning and machine learning models

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

Master the command line, in one page