static async Task Main(string[] args)
{
try
{
var modelBuilder = new ModelTrainer(
ModelHelpers.GetAssetsPath("data", "tags.tsv"),
ModelHelpers.GetAssetsPath("images"),
ModelHelpers.GetAssetsPath("model", "tensorflow_inception_graph.pb"),
ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
await modelBuilder.BuildAndTrain();
var modelEvaluator = new ModelEvaluator(
ModelHelpers.GetAssetsPath("data", "tags.tsv"),
ModelHelpers.GetAssetsPath("images"),
ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
await modelEvaluator.Evaluate();
} catch (Exception ex)
{
Console.WriteLine("InnerException: {0}", ex.InnerException.ToString());
throw;
}
Console.WriteLine("End of process");
Console.ReadKey();
}
static void Main(string[] args)
{
var assetsPath = ModelHelpers.GetAssetsPath(@"..\..\..\assets");
var tagsTsv = Path.Combine(assetsPath, "inputs", "images", "tags.tsv");
var imagesFolder = Path.Combine(assetsPath, "inputs", "images");
var inceptionPb = Path.Combine(assetsPath, "inputs", "custom-vision-tensorflow", "model.pb");
var labelsTxt = Path.Combine(assetsPath, "inputs", "custom-vision-tensorflow", "labels.txt");
//var inceptionPb = Path.Combine(assetsPath, "inputs", "inception", "tensorflow_inception_graph.pb");
//var labelsTxt = Path.Combine(assetsPath, "inputs", "inception", "imagenet_comp_graph_label_strings.txt");
var customInceptionPb = Path.Combine(assetsPath, "inputs", "inception_custom", "model_tf.pb");
var customLabelsTxt = Path.Combine(assetsPath, "inputs", "inception_custom", "labels.txt");
try
{
var modelScorer = new TFModelScorer(tagsTsv, imagesFolder, inceptionPb, labelsTxt);
modelScorer.Score();
}
catch (Exception ex)
{
ConsoleHelpers.ConsoleWriteException(ex.Message);
}
ConsoleHelpers.ConsolePressAnyKey();
}
static async Task Main(string[] args)
{
// Running inside Visual Studio, $SolutionDir/assets is automatically passed as argument
// If you execute from the console, pass as argument the location of the assets folder
// Otherwise, it will search for assets in the executable's folder
var assetsPath = args.Length > 0 ? args[0] : ModelHelpers.GetAssetsPath();
var tagsTsv = Path.Combine(assetsPath, "inputs", "data", "tags.tsv");
var imagesFolder = Path.Combine(assetsPath, "inputs", "data");
var inceptionPb = Path.Combine(assetsPath, "inputs", "inception", "tensorflow_inception_graph.pb");
var imageClassifierZip = Path.Combine(assetsPath, "outputs", "imageClassifier.zip");
try
{
var modelBuilder = new ModelTrainer(tagsTsv, imagesFolder, inceptionPb, imageClassifierZip);
await modelBuilder.BuildAndTrain();
//var modelEvaluator = new ModelEvaluator(
// ModelHelpers.GetAssetsPath("data", "tags.tsv"),
// ModelHelpers.GetAssetsPath("images"),
// ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
//await modelEvaluator.Evaluate();
} catch (Exception ex)
{
Console.WriteLine($"Exception: {ex.Message}");
}
Console.ReadKey();
}
static async Task Main(string[] args)
{
var assetsPath = ModelHelpers.GetAssetsPath(@"..\..\..\assets");
var tagsTsv = Path.Combine(assetsPath, "inputs", "data", "tags.tsv");
var imagesFolder = Path.Combine(assetsPath, "inputs", "data");
var imageClassifierZip = Path.Combine(assetsPath, "inputs", "imageClassifier.zip");
try
{
var modelEvaluator = new ModelEvaluator(tagsTsv, imagesFolder, imageClassifierZip);
modelEvaluator.EvaluateStaticApi();
}
catch (Exception ex)
{
ConsoleWriteException(ex.Message);
}
ConsolePressAnyKey();
}
static async Task Main(string[] args)
{
try
{
var modelBuilder = new ModelTrainer(
ModelHelpers.GetAssetsPath("data", "tags.tsv"),
ModelHelpers.GetAssetsPath("images"),
ModelHelpers.GetAssetsPath("model", "tensorflow_inception_graph.pb"),
ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
await modelBuilder.BuildAndTrain();
var modelEvaluator = new ModelEvaluator(
ModelHelpers.GetAssetsPath("data", "tags.tsv"),
ModelHelpers.GetAssetsPath("images"),
ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
await modelEvaluator.Evaluate();
} catch (Exception ex)
{
}
}
static void Main(string[] args)
{
var assetsPath = ModelHelpers.GetAssetsPath(@"..\..\..\assets");
var tagsTsv = Path.Combine(assetsPath, "inputs", "data", "tags.tsv");
var imagesFolder = Path.Combine(assetsPath, "inputs", "data");
var inceptionPb = Path.Combine(assetsPath, "inputs", "inception", "tensorflow_inception_graph.pb");
var imageClassifierZip = Path.Combine(assetsPath, "outputs", "imageClassifier.zip");
try
{
var modelBuilder = new ModelBuilder(tagsTsv, imagesFolder, inceptionPb, imageClassifierZip);
modelBuilder.BuildAndTrain();
}
catch (Exception ex)
{
ConsoleWriteException(ex.Message);
}
ConsolePressAnyKey();
}
static async Task Main(string[] args)
{
// Running inside Visual Studio, $SolutionDir/assets is automatically passed as argument
// If you execute from the console, pass as argument the location of the assets folder
// Otherwise, it will search for assets in the executable's folder
var assetsPath = args.Length > 0 ? args[0] : ModelHelpers.GetAssetsPath();
var salesCsv = Path.Combine(assetsPath, "inputs", "orderItems.csv");
var modelZip = Path.Combine(assetsPath, "outputs", "productRecommendation.zip");
try
{
var modelBuilder = new ModelBuilder(salesCsv, modelZip);
await modelBuilder.BuildAndTrain();
} catch (Exception ex)
{
Console.Out.WriteLine(ex.Message);
}
Console.ReadKey();
}
static async Task Main(string[] args)
{
// Running inside Visual Studio, $SolutionDir/assets is automatically passed as argument
// If you execute from the console, pass as argument the location of the assets folder
// Otherwise, it will search for assets in the executable's folder
var assetsPath = args.Length > 0 ? args[0] : ModelHelpers.GetAssetsPath();
var tagsTsv = Path.Combine(assetsPath, "inputs", "data", "tags.tsv");
var imagesFolder = Path.Combine(assetsPath, "inputs", "data");
var inceptionPb = Path.Combine(assetsPath, "inputs", "inception", "tensorflow_inception_graph.pb");
var labelsTxt = Path.Combine(assetsPath, "inputs", "inception", "imagenet_comp_graph_label_strings.txt");
try
{
var modelEvaluator = new ModelScorer(tagsTsv, imagesFolder, inceptionPb, labelsTxt);
modelEvaluator.Score();
}
catch (Exception ex)
{
Console.WriteLine($"Exception: {ex.Message}");
}
Console.ReadKey();
}
static async Task Main(string[] args)
{
try
{
if (typeof(TensorFlowTransform) == null)
{
throw new Exception("Tensorflow not loaded correctly");
}
if (typeof(ImageLoaderTransform) == null)
{
throw new Exception("ImageAnalytics not loaded correctly");
}
var modelBuilder = new ModelTrainer(
ModelHelpers.GetAssetsPath("data", "tags.tsv"),
ModelHelpers.GetAssetsPath("images"),
ModelHelpers.GetAssetsPath("model", "tensorflow_inception_graph.pb"),
ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
await modelBuilder.BuildAndTrain();
var modelEvaluator = new ModelEvaluator(
ModelHelpers.GetAssetsPath("data", "tags.tsv"),
ModelHelpers.GetAssetsPath("images"),
ModelHelpers.GetAssetsPath("model", "imageClassifier.zip"));
await modelEvaluator.Evaluate();
} catch (Exception ex)
{
Console.WriteLine("InnerException: {0}", ex.InnerException.ToString());
throw;
}
Console.WriteLine("End of process");
Console.ReadKey();
}