 |
VOOZH | about |
|
VOOZH | about |
dotnet add package Microsoft.ML.OnnxRuntime.Extensions --version 0.14.0
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Extensions -Version 0.14.0
<PackageReference Include="Microsoft.ML.OnnxRuntime.Extensions" Version="0.14.0" />
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Extensions" Version="0.14.0" />Directory.Packages.props
<PackageReference Include="Microsoft.ML.OnnxRuntime.Extensions" />Project file
paket add Microsoft.ML.OnnxRuntime.Extensions --version 0.14.0
#r "nuget: Microsoft.ML.OnnxRuntime.Extensions, 0.14.0"
#:package Microsoft.ML.OnnxRuntime.Extensions@0.14.0
#addin nuget:?package=Microsoft.ML.OnnxRuntime.Extensions&version=0.14.0Install as a Cake Addin
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Extensions&version=0.14.0Install as a Cake Tool
ONNX Runtime Extensions is a library of custom ONNX operators used for pre and post processing ONNX models.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 net5.0 was computed. net5.0-windows net5.0-windows was computed. net6.0 net6.0 was computed. net6.0-android net6.0-android was computed. net6.0-android31.0 net6.0-android31.0 is compatible. net6.0-ios net6.0-ios was computed. net6.0-ios15.4 net6.0-ios15.4 is compatible. net6.0-maccatalyst net6.0-maccatalyst was computed. net6.0-maccatalyst14.0 net6.0-maccatalyst14.0 is compatible. net6.0-macos net6.0-macos was computed. net6.0-macos12.3 net6.0-macos12.3 is compatible. net6.0-tvos net6.0-tvos was computed. net6.0-windows net6.0-windows was computed. net7.0 net7.0 was computed. net7.0-android net7.0-android was computed. net7.0-ios net7.0-ios was computed. net7.0-maccatalyst net7.0-maccatalyst was computed. net7.0-macos net7.0-macos was computed. net7.0-tvos net7.0-tvos was computed. net7.0-windows net7.0-windows was computed. net8.0 net8.0 was computed. net8.0-android net8.0-android was computed. net8.0-browser net8.0-browser was computed. net8.0-ios net8.0-ios was computed. net8.0-maccatalyst net8.0-maccatalyst was computed. net8.0-macos net8.0-macos was computed. net8.0-tvos net8.0-tvos was computed. net8.0-windows net8.0-windows was computed. net9.0 net9.0 was computed. net9.0-android net9.0-android was computed. net9.0-browser net9.0-browser was computed. net9.0-ios net9.0-ios was computed. net9.0-maccatalyst net9.0-maccatalyst was computed. net9.0-macos net9.0-macos was computed. net9.0-tvos net9.0-tvos was computed. net9.0-windows net9.0-windows was computed. net10.0 net10.0 was computed. net10.0-android net10.0-android was computed. net10.0-browser net10.0-browser was computed. net10.0-ios net10.0-ios was computed. net10.0-maccatalyst net10.0-maccatalyst was computed. net10.0-macos net10.0-macos was computed. net10.0-tvos net10.0-tvos was computed. net10.0-windows net10.0-windows was computed. |
| .NET Core | netcoreapp1.0 netcoreapp1.0 was computed. netcoreapp1.1 netcoreapp1.1 was computed. netcoreapp2.0 netcoreapp2.0 was computed. netcoreapp2.1 netcoreapp2.1 was computed. netcoreapp2.2 netcoreapp2.2 was computed. netcoreapp3.0 netcoreapp3.0 was computed. netcoreapp3.1 netcoreapp3.1 was computed. |
| .NET Standard | netstandard1.1 netstandard1.1 is compatible. netstandard1.2 netstandard1.2 was computed. netstandard1.3 netstandard1.3 was computed. netstandard1.4 netstandard1.4 was computed. netstandard1.5 netstandard1.5 was computed. netstandard1.6 netstandard1.6 was computed. netstandard2.0 netstandard2.0 is compatible. netstandard2.1 netstandard2.1 was computed. |
| .NET Framework | net45 net45 was computed. net451 net451 was computed. net452 net452 was computed. net46 net46 was computed. net461 net461 was computed. net462 net462 was computed. net463 net463 was computed. net47 net47 was computed. net471 net471 was computed. net472 net472 was computed. net48 net48 was computed. net481 net481 was computed. |
| MonoAndroid | monoandroid monoandroid was computed. monoandroid11.0 monoandroid11.0 is compatible. |
| MonoMac | monomac monomac was computed. |
| MonoTouch | monotouch monotouch was computed. |
| Tizen | tizen30 tizen30 was computed. tizen40 tizen40 was computed. tizen60 tizen60 was computed. |
| Universal Windows Platform | uap uap was computed. uap10.0 uap10.0 was computed. |
| Windows Phone | wpa81 wpa81 was computed. |
| Windows Store | netcore netcore was computed. netcore45 netcore45 was computed. netcore451 netcore451 was computed. |
| Xamarin.iOS | xamarinios xamarinios was computed. xamarinios10 xamarinios10 is compatible. |
| Xamarin.Mac | xamarinmac xamarinmac was computed. |
| Xamarin.TVOS | xamarintvos xamarintvos was computed. |
| Xamarin.WatchOS | xamarinwatchos xamarinwatchos was computed. |
This package has no dependencies.
Showing the top 5 NuGet packages that depend on Microsoft.ML.OnnxRuntime.Extensions:
| Package | Downloads |
|---|---|
|
CapCognition.Maui.LPR
License plate recognition library |
|
|
SharpDiffusion
An EXPERIMENTAL implementation of Diffusers in .NET, ported from Python libraries |
|
|
RAGamuffin
Package Description |
|
|
EchoSharp.Onnx.Whisper
Package Description |
|
|
CapCognition.Forms.LicensePlateDetection
Recognizes the license plates of many european countries together with the vehicle types |
Showing the top 8 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Extensions:
| Repository | Stars |
|---|---|
|
microsoft/ai-dev-gallery
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
|
|
|
elevenyellow/handcrafted-persona-engine
An AI-powered interactive avatar engine using Live2D, LLM, ASR, TTS, and RVC. Ideal for VTubing, streaming, and virtual assistant applications.
|
|
|
microsoft/winappCli
winapp, the Windows App Development CLI, is a single command-line interface for managing Windows SDKs, packaging, generating app identity, manifests, certificates, and using build tools with any app framework.
|
|
|
cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
|
|
|
saddam213/OnnxStack
C# Stable Diffusion using ONNX Runtime
|
|
|
Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
|
|
|
sandrohanea/echosharp
EchoSharp is an open-source library designed for near-real-time audio processing, orchestrating different AI models seamlessly for various audio analysis scopes with an architecture that focuses on flexibility and performance,
|
|
| microsoft/ai-powered-notes-winui3-sample |
| Version | Downloads | Last Updated |
|---|---|---|
| 0.15.2-dev-20251214-1129-73... | 1,042 | 12/19/2025 |
| 0.14.0 | 37,126 | 3/12/2025 |
| 0.13.0 | 25,392 | 10/31/2024 |
| 0.12.0 | 15,689 | 8/16/2024 |
| 0.11.0-dev-20240524-2333-8d... | 1,195 | 5/28/2024 |
| 0.10.0 | 19,652 | 2/6/2024 |
| 0.9.0 | 5,986 | 9/20/2023 |
| 0.8.1-alpha | 4,558 | 5/31/2023 |
| 0.8.0 | 2,999 | 5/26/2023 |
| 0.8.0-beta | 1,083 | 5/16/2023 |
| 0.8.0-alpha.1 | 341 | 5/9/2023 |
| 0.8.0-alpha | 836 | 4/27/2023 |
1. NuGet package for the .NET platform. This package offers comprehensive platform support, including Windows, Linux, MacOS, Android, and iOS. Both x64 and arm64 architectures are supported, where applicable.
2. Support for pre-processing and post-processing of the Whisper model, inclusive of Audio and Tokenizer decoding operators.
3. Extends support for pre-processing and post-processing of object-detection models, including a new DrawBoundingBoxes operator. Pre/post processing tools can add non-max-suppression to the model to select the best bounding boxes, and scale those to the original image. See the end-to-end example in yolo_e2e.py.
4. Introduces the Audio Domain, complemented with AudioCodec and optimized STFT Operators, enhancing audio processing capabilities.
5. Enabled optional input/output support for some operators such as GPT2Tokenizer, CLIPTokenizer, and RobertaTokenizer.
6. Refined the implementation of offset mapping for BBPE-style tokenizers for more operators and efficiency improvement.
7. Other bug and security fixes.