NboxTrainer 1.0.0.2

.NET 5.0 This package targets .NET 5.0. The package is compatible with this framework or higher. 
dotnet add package NboxTrainer --version 1.0.0.2                

                    
                

            
NuGet\Install-Package NboxTrainer -Version 1.0.0.2
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="NboxTrainer" Version="1.0.0.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add NboxTrainer --version 1.0.0.2                

                    
                

            
#r "nuget: NboxTrainer, 1.0.0.2"
#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 NboxTrainer as a Cake Addin
#addin nuget:?package=NboxTrainer&version=1.0.0.2

// Install NboxTrainer as a Cake Tool
#tool nuget:?package=NboxTrainer&version=1.0.0.2

NBox Trainer

Nbox Trainer is library-wrapper for easy creating trainer ml models of image classification with GPU acceleration. Also you can test prediction with prediction service.

Packages
  • Microsoft.ML [1.5.4]
  • Microsoft.ML.ImageAnalytics [1.5.4]
  • Microsoft.ML.Vision [1.5.4]
  • SciSharp.TensorFlow.Redist-Windows-GPU [1.5.1]
  • CUDA 10.0;
  • Cudnn 7.6.4;
Example struct dataset
 +---flower_photos
 |   +---daisy
 |   +---dandelion
 |   +---roses
 |   +---sunflowers
 |   +---tulips
 |--------------------

All top subfolders of dataset catalog will use as label of categories

Example using trainer with fluent builder
 string dirDatasets = "D:\\Downloads\\flower_photos\\";

            TrainerService trainer = new TrainerService(AppContext.BaseDirectory, "flower")
                .setArchitecture(ImageClassificationTrainer.Architecture.MobilenetV2)
                .setEpoch(1000)
                .setBatchSize(5)
                .setLearningRate(0.01F)
                .setReuseTrainBottleneckCache(true)
                .setReuseValidationBottleneckCache(true)
                .setCriteriaEarlyStopping(new ImageClassificationTrainer.EarlyStopping(0.1F, 500,
                    ImageClassificationTrainer.EarlyStoppingMetric.Accuracy))
                .setPathToDataset(dirDatasets)
                .setSplitPercent(0.3F);

            trainer.onStateChanged += state => { Console.Title = $"Current Stage: {state}"; };
            trainer.onTrainMetrics += Trainer_onTrainMetrics;

            await trainer.Train();
            var _metrics = await trainer.GetMetrics();
            await trainer.SaveModel();
Example using prediction service with fluent builder
   PredictorService service = new PredictorService("D:\\flower_photos\\test_fraction\\")
                        .setPathToModel("D:\\21-01-10_flower.zip");
            service.onPrediction += prediction => Console.WriteLine(prediction);
            await service.Process();
            
/* output log with event onPrediction
*
*File:   100080576_f52e8ee070_n.jpg |  Predicted: daisy  |    Accuracy: 0,9956813
*File:   102841525_bd6628ae3c.jpg   |  Predicted: daisy  |    Accuracy: 0,99993706
*File:   105806915_a9c13e2106_n.jpg |  Predicted: daisy  |    Accuracy: 0,99083275
*File:   107592979_aaa9cdfe78_m.jpg |  Predicted: daisy  |    Accuracy: 0,9820342
*File:   113902743_8f537f769b_n.jpg |  Predicted: tulips |    Accuracy: 0,9946406
*File:   113960470_38fab8f2fb_m.jpg |  Predicted: tulips |    Accuracy: 0,9788831
*File:   116343334_9cb4acdc57_n.jpg |  Predicted: tulips |    Accuracy: 0,99646
*File:   122450705_9885fff3c4_n.jpg |  Predicted: tulips |    Accuracy: 0,9952939
*/
Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  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.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.0.2 473 1/10/2021
1.0.0.1 375 1/10/2021