Microsoft.ML.OnnxRuntime 1.15.0

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
.NET 6.0 .NET Standard 1.1 
dotnet add package Microsoft.ML.OnnxRuntime --version 1.15.0
NuGet\Install-Package Microsoft.ML.OnnxRuntime -Version 1.15.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Microsoft.ML.OnnxRuntime" Version="1.15.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Microsoft.ML.OnnxRuntime --version 1.15.0
#r "nuget: Microsoft.ML.OnnxRuntime, 1.15.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install Microsoft.ML.OnnxRuntime as a Cake Addin
#addin nuget:?package=Microsoft.ML.OnnxRuntime&version=1.15.0

// Install Microsoft.ML.OnnxRuntime as a Cake Tool
#tool nuget:?package=Microsoft.ML.OnnxRuntime&version=1.15.0

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-android31.0 is compatible.  net6.0-ios was computed.  net6.0-ios15.4 is compatible.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-macos12.3 is compatible.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.1 is compatible.  netstandard1.2 was computed.  netstandard1.3 was computed.  netstandard1.4 was computed.  netstandard1.5 was computed.  netstandard1.6 was computed.  netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed.  monoandroid11.0 is compatible. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
native native is compatible. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 was computed. 
Windows Phone wpa81 was computed. 
Windows Store netcore was computed.  netcore45 was computed.  netcore451 was computed. 
Xamarin.iOS xamarinios was computed.  xamarinios10 is compatible. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (38)

Showing the top 5 NuGet packages that depend on Microsoft.ML.OnnxRuntime:

Package Downloads
Aspose.OCR

Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details. Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors. Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically. The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code. Changelog: - Added fast recognition method that works with OcrInput object. - Specialized recognition methods have been aligned with the new API. DEPRECATION WARNING: Several classes and methods from previous versions of Aspose.OCR remain functional but are marked deprecated. They will be removed in release 23.11.0 (November 2023) in favor of the new API introduced in this release. Please adapt your code to replace them with the new APIs before then. See the Release Notes for more details. Check for details at https://docs.aspose.com/ocr/net/aspose-ocr-for-net-23-5-0-release-notes/ Resources: Online documentation: https://docs.aspose.com/ocr/net/ Free support forum: https://forum.aspose.com/c/ocr/
Aspose.Ocr.Cpp

Aspose.OCR for C++ is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your applications in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details. Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. Aspose.OCR can recognize scanned images or even smartphone photos. The library also allows you to process images directly from the web without downloading them locally. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, JSON and XML and can be further parsed and analyzed programmatically. The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code. Changelog: - Optimized repeat recognition of the same picture with the same settings
FaceONNX

Face recognition and analytics library based on deep neural networks and ONNX runtime.
LagoVista.AI

Provides Interfaces, Models and Managers for NuvAI Platform.
LagoVista.AI.CloudRepos

Provides repositories to store AI Meta data and models to azure.

GitHub repositories (8)

Showing the top 5 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
stakira/OpenUtau
Open singing synthesis platform / Open source UTAU successor
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection, and face-recognition.
wangfreexx/wangfreexx-tianruoocr-cl-paddle
天若ocr开源版本的本地版，采用Chinese-lite和paddleocr识别框架
microsoft/psi
Platform for Situated Intelligence
Version Downloads Last updated
1.15.0 1,433 5/24/2023
1.15.0-rc 134 5/17/2023
1.15.0-alpha 117 5/12/2023
1.14.1 53,517 2/27/2023
1.14.0 26,792 2/10/2023
1.13.1 79,392 10/24/2022
1.12.1 113,127 8/4/2022
1.12.0 13,104 7/22/2022
1.11.0 176,373 3/25/2022
1.10.0 137,845 12/7/2021
1.9.0 89,725 9/22/2021
1.8.1 73,597 7/7/2021
1.8.0 30,441 6/3/2021
1.7.0 174,460 3/2/2021
1.6.0 75,327 12/10/2020
1.5.2 60,900 10/15/2020
1.5.1 16,406 9/29/2020
1.4.0 80,007 7/17/2020
1.3.0 73,487 5/18/2020
1.2.0 67,151 3/10/2020
1.1.2 6,708 2/21/2020
1.1.1 11,512 1/24/2020
1.1.0 9,405 12/19/2019
1.0.0 74,606 10/30/2019
0.5.1 171,078 10/12/2019
0.5.0 13,835 8/1/2019
0.4.0 60,716 5/2/2019
0.3.1 4,777 4/9/2019
0.3.0 35,302 3/14/2019
0.2.1 37,606 2/1/2019
0.1.5 8,647 12/1/2018

Release Def:
Branch: refs/heads/rel-1.15.0
Commit: ddaaeeab42432cf9b924b5aa0459d644f615a01f
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=312266