TensorFlowSharp | TensorFlow API for .NET languages | Machine Learning library

by migueldeicaza C# Version: v1.7.0 License: MIT

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kandi X-RAY | TensorFlowSharp Summary

TensorFlowSharp is a C# library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Xamarin applications. TensorFlowSharp has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

TensorFlowSharp is a good runtime to run your existing models, and is mostly a straight binding to the underlying TensorFlow runtime. Most people will want to use a higher-level library for interfacing with TensorFlow. The library was designed to blend in the .NET ecosystem and use the .NET naming conventions. I strongly recommend that you use TensorFlow.NET which takes a different approach than TensorFlowSharp, it uses the Python naming convention and has a much broader support for the higher level operations that you are likely to need - and is also actively maintained.

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Quality

Security

License

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Support

TensorFlowSharp has a medium active ecosystem.

It has 3099 star(s) with 585 fork(s). There are 235 watchers for this library.

It had no major release in the last 6 months.

There are 186 open issues and 200 have been closed. On average issues are closed in 96 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TensorFlowSharp is v1.7.0

Quality

TensorFlowSharp has 0 bugs and 0 code smells.

Security

TensorFlowSharp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TensorFlowSharp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TensorFlowSharp is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

TensorFlowSharp releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 150212 lines of code, 0 functions and 156 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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TensorFlowSharp Key Features

No Key Features are available at this moment for TensorFlowSharp.

TensorFlowSharp Examples and Code Snippets

No Code Snippets are available at this moment for TensorFlowSharp.

Community Discussions

Trending Discussions on TensorFlowSharp

How to convert a image (Texture2D) to tensor

QUESTION

How to convert a image (Texture2D) to tensor

Asked 2020-Jul-03 at 10:40

I have c# TensorFlow.NET working in Unity. But it using an image from the file system. I want to be able to use an image from memory (Texture2D).

I tried to follow some examples of people using TensorFlowSharp. But that didn't work.

What am I doing wrong?

Note: with both functions, I am using the same image. The image is 512x512. but the result of both pictures is different.

...

ANSWER

Answered 2020-Jul-03 at 10:40

I ended up using this code from Shaqian: https://github.com/shaqian/TF-Unity/blob/master/TensorFlow/Utils.cs

Add this script to your project and then you could use it like this:

Source https://stackoverflow.com/questions/62711191

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install TensorFlowSharp

The easiest way to get started is to use the NuGet package for TensorFlowSharp which contains both the .NET API as well as the native libraries for 64-bit Linux, Mac and Windows using the CPU backend.
Would love to have more tests to ensure the proper operation of the framework.