Emgu TF Version History

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Emgu.TF-2.15.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.15.0 is based on the Tensorflow 2.15.0 release.
  • For Emgu TF Lite
    • Added MAUI runtime nuget package that supports Windows, Android and iOS. Mac OS is not supported because MAUI Mac OS require Mac Catalyst, Bazel is needed to build Tensorflow Lite for Mac, Bazel do not support Mac Catalyst.
    • Renamed Emgu.TF.Lite.Netstandard.dll to Emgu.TF.Lite.dll
    • Replaced WebClient with HttpClient in FileDownloadManager
  • For Emgu TF
    • Tensorflow windows build no longer supports CUDA after 2.10 release, for the 2.15 release and forward, Emgu TF windows version will no longer have the CUDA build. If you need to use CUDA on Windows, please stay with 2.10 release.
    • Added MAUI runtime nuget package that supports only Windows and Android. Mac OS is not supported because MAUI Mac OS require Mac Catalyst, Bazel is needed to build Tensorflow for Mac, Bazel do not support Mac Catalyst.
    • Renamed Emgu.TF.Netstandard.dll to Emgu.TF.dll
    • Replaced WebClient with HttpClient in FileDownloadManager

Emgu.TF-2.10.1

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.10.1 is based on the Tensorflow 2.10.1 release.
  • Release compiled with VS 2022 (instead of VS 2019)
  • For xamarin demo app, use Environment.SpecialFolder.LocalApplicationData instead of Personal folder for downloading models.
  • Moved native binary to "libs/runtimes/{system_arch}/native" folder
  • For Emgu TF Lite
    • If System DllDirectory is set, use it to look for tfliteextern binary.
    • iOS binary is compiled with 11.0 SDK and now target only arm64. iOS 11.0 SDK no longer support arm.
    • Rename Emgu.TF.Lite.runtime.macos package to Emgu.TF.Lite.runtime.xamarin.macos package.
    • Rename Emgu.TF.Lite.runtime.ios package to Emgu.TF.Lite.runtime.xamarin.ios package.
    • Rename Emgu.TF.Lite.runtime.android to Emgu.TF.Lite.runtime.xamarin.android pacakge.
  • For Emgu TF
    • If System DllDirectory is set, use it to look for tfextern binary.
    • The CUDA release is built with CUDA 11.8 and support sm89 & sm90.
    • Use Android 13 (instead of Android 11) to compile Emgu.TF.Platform.Xamarin.Android project.

Emgu.TF-2.8.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.8.0 is based on the Tensorflow 2.8.0 release.
  • For Emgu TF Lite
    • Added experimental support on 32bit Windows.
    • Added XNNPackDelegate for tflite
    • TF Lite is now build with VS2022 (instead of VS2019) on windows
    • Replaced Emgu.TF.Lite.runtime.linux-arm nuget package by Emgu.TF.Lite.runtime.debian-arm. The new package is compatibile with both debian bullseye arm architecture and raspberry pi os arm architecture.
    • Added Emgu.TF.Lite.runtime.debian-arm64 nuget pacakge. This package is compatibile with both debian bullseye arm64 architecture and raspberry pi os arm64 architecture.
  • For Emgu TF Lite Unity
    • More efficient implementation to convert WebCamTexture to drawable Texture2D.
    • Fixed issue #66 Memory leak in TF Lite example for unity
    • Added support for android x86_64 architecture (besides of the already supported x86, armeabi-v7a & arm64-v8a architectures).
    • Added support for x86 architecture (besides of the already supported x64 architectures).
  • For Emgu TF
    • At library initialization, register a log listener to forward all native log message to TfInvoke.LogMegReceived event handler.
    • Added functions to TfInvoke: IsBuiltWithROCm, IsBuiltWithNvcc, GpuSupportsHalfMatMulAndConv & IsMklEnabled
    • Upgrade .Net 5 demo projects to .Net 6
    • Support Debian arm 64 (Raspberry Pi OS - ARM64). No longer support building on Debian ARM (Raspberry Pi OS - ARM) architecture, the 2.8.0 release of tensorflow requires more than 3GB of memory to be compiled. It is no longer possible to compile it with a 32bit OS. For raspberry pi OS, only ARM64 is supported now.
    • The GPU version is built with CUDA 11.6.112 (instead of 11.3.44) and CUDNN 8.3.2 (8.2.0) release
  • For Emgu TF Unity
    • Added support for android x86_64 architecture (besides of the already supported x86, armeabi-v7a & arm64-v8a architectures).

Emgu.TF-2.6.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.6.0 is based on the Tensorflow 2.6.0 release.
  • For Emgu TF Lite
    • Added Emgu.TF.Lite.Interceptor.ResizeInputTensor function.
    • Emgu TF Lite nuget packages are now signed.
  • For Emgu TF
    • Emgu TF nuget packages are now signed.


Emgu.TF-2.5.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.5.0 is based on the Tensorflow 2.5.0 release.
  • For Emgu TF Lite
    • Fixed unity macos bundle deployment issue.
    • Added native C++ implementation to convert image to Tensor
    • Improve native binary loading logic
  • For Emgu TF
    • Fixed unity macos bundle deployment issue.
    • Added native C++ implementation to convert image to Tensor
    • Improve native binary loading logic
    • Enable batch processing for Inception, Resnet and MaskRcnnInceptionV2Coco Model
    • For CUDA release, updated CUDA to 11.3, CUDNN to 8.3.

Emgu.TF-2.4.1

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.4.1 is based on the Tensorflow 2.4.1 release.
  • For Emgu TF Lite
    • Renamed TfLiteInvoke.CheckLibraryLoaded() to TfLiteInvoke.Init(), TfLiteInvokeAndroid.CheckLibraryLoaded() to TfLiteInvokeAndroid.Init(), TfLiteInvokeIOS.CheckLibraryLoaded() to TfLiteInvokeIOS.Init()
  • For Emgu TF
    • Renamed TfInvoke.CheckLibraryLoaded() to TfInvoke.Init(), TfInvokeAndroid.CheckLibraryLoaded() to TfInvokeAndroid.Init(), TfInvokeIOS.CheckLibraryLoaded() to TfInvokeIOS.Init()
    • For CUDA release, updated CUDA to 11.1, CUDNN to 8. Lower minimum compute requirement to 5.2
    • Fixed issue #61

Emgu.TF-2.4.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.4.0 is based on the Tensorflow 2.4.0 release.
  • The standard license terms has been change to dual license from GPL. See it here: https://github.com/emgucv/emgutf/blob/master/LICENSE The change is to allow commercial license owners to use our regular open source build and the nuget packages from nuget.org.
  • For Emgu TF Lite
    • The commercial release of Emgu TF Lite for windows is compiled with XNNPack for better performance. The nuget runtime package is Emgu.TF.Lite.runtime.windows.xnn
    • Updated the Emgu.TF.Lite.Model nuget package version dependency for System.Drawing.Common
    • Converted WPF demo from .NetFramework to .NetCore
  • For Emgu TF
    • Added a new Session constructor to load session from SavedModel.
    • Added Resnet to Emgu.TF.Model
    • Added TString API
    • Converted CvInterop project from .Net Framework to .Net Core.
    • Gpu release is build with CUDA 11 and CUDNN 8, targeting compute 6.0.
    • Converted WPF demo from .NetFramework to .NetCore

Emgu.TF-2.2.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.2.0 is based on the Tensorflow 2.2.0 release.
  • For Emgu TF Lite
    • Added Emgu.TF.Lite.Model.CocoSsdMobileNetV3
    • Android release is build with NDK-r20b (instead of r-18b)
  • For Emgu TF
    • Added TFInvoke.ListAllPhysicalDevices function.
    • Android release is build with NDK-r20b (instead of r-18b)

Emgu.TF-2.1.0

Online Documentation

Emgu TF Documentation

Emgu TF Lite Documentation

Change Log

  • 2.1.0 is based on the Tensorflow 2.1.0 release.
  • For Emgu TF Lite
    • Added GpuDelegateV2 for Android
    • Enable CocoSsdMobileNet demo to use camera view in iOS and MacOS
    • Allow picking files on MacOS demos
    • Added a Model Checker page in the Xamarin Forms demo, to load a tflite model and show the input/output tensor detail.
    • Native binary targets NDK level 28 and requires at least Android 9 to meet the current Google Play Store submission requirement.
  • For Emgu TF
    • Android demo is built with Android SDK 10 instead of 9. Native binary targets NDK level 28 and requires at least Android 9 to meet the current Google Play Store submission requirement.


Emgu TF v1.x Archive

Emgu TF Version History 1.x