Onnxruntime (1.21) for openFrameworks (0.12) using CUDA (12.8) & CUDNN (9.7)

cailean 8ebf2b8925 movenet		6 months ago
.vscode	updated runtime to work with in32 & float input	6 months ago
example-onnx_mnist	fix on mac build	4 years ago
libs/onnxruntime	working	6 months ago
src	movenet	6 months ago
.gitattributes	added git lfs	7 months ago
.gitignore	updated runtime to work with in32 & float input	6 months ago
LICENSE	add license	4 years ago
README.md	batch working	9 months ago
addon_config.mk	updated runtime to work with in32 & float input	6 months ago
screenshot.png	add readme	4 years ago

ofxOnnxRuntime

Updated version, working with Windows 11, CUDA 12.8, and ONNXRuntime 1.20.1

It is not the cleanest implementation, but it works!

In this implementation I have added the ability to batch process. This will only apply to models that allow it.

ONNX Runtime tiny wrapper for openFrameworks

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-)1.20.1.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.