ofxOnnxRuntime

github.com/hanasaan/ofxOnnxRuntime · @hanasaan

OF 0.11 Machine Learning Artificial Intelligence

ONNX Runtime tiny wrapper for openFrameworks

Forks

Forks pushed to more recently than hanasaan/ofxOnnxRuntime itself, plus any admin-confirmed fork with commits of its own — worth checking if you're hitting issues with the original.

n1ckfg/ofxOnnxRuntime by @n1ckfg · ★ 1 · pushed 2d ago

ffunatsu/ofxOnnxRuntime by @ffunatsu · ★ 0 · pushed 1y ago

Caileannn/ofxOnnxRuntime by @Caileannn · ★ 0 · pushed 1y ago

ryohajika/ofxOnnxRuntime by @ryohajika · ★ 2 · pushed 2y ago

README

ofxOnnxRuntime

ONNX Runtime tiny wrapper for openFrameworks

'test'

Installation

macOS
copy libonnxruntime.1.10.0.dylib to /usr/local/lib
Generate a project using ProjectGenerator.
Windows
There are two ways to install ONNX Runtime on your project.

1. Install using NuGet

I recommend this way in general.
Generate a project using ProjectGenerator.
Open sln file.
Right click your project on Solution Explorer pane, and then select Manage NuGet Packages....
From Browse tab, search Microsoft.ML.OnnxRuntime (CPU) or Microsoft.ML.OnnxRuntime.Gpu (GPU) and install it.

2. DLL direct download

You can download prebuilt DLLs from here.
Unzip downloaded onnxruntime-win-x64-(gpu-)1.10.0.zip and locate files on libs\onnxruntime\lib\vs\x64\ .
Generate a project using ProjectGenerator, then all libs are linked correctly and all dlls are copied to bin.

Tested environment

oF 0.11.2 + MacBookPro 2018 Intel + macOS Catalina
oF 0.11.2 + VS2017 + Windows 10 + RTX2080Ti + CUDA 11.4

ToDo

check M1 Mac (should work), Linux CPU&GPU

Reference Implementation

I heavily referred Lite.AI.ToolKit implementation.

Get this addon

HTTPS

SSH

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