static void LoadAndPrediction()
{
MLContext mlContext = new MLContext(seed: 1);
// Load the model
ITransformer loadedModel = mlContext.Model.Load(imageClassifierZip, out var modelInputSchema);
// Make prediction function (input = ImageNetData, output = ImageNetPrediction)
var predictor = mlContext.Model.CreatePredictionEngine <ImageNetData, ImageNetPrediction>(loadedModel);
DirectoryInfo testdir = new DirectoryInfo(TestDataFolder);
foreach (var jpgfile in testdir.GetFiles("*.jpg"))
{
ImageNetData image = new ImageNetData();
image.ImagePath = jpgfile.FullName;
var pred = predictor.Predict(image);
Console.WriteLine($"Filename:{jpgfile.Name}:\tPredict Result:{pred.PredictedLabelValue}");
}
}
static void LoadAndPrediction()
{
MLContext mlContext = new MLContext(seed: 1);
// Load the model
ITransformer loadedModel;
using (var f = new FileStream(imageClassifierZip, FileMode.Open))
loadedModel = mlContext.Model.Load(f);
var predictor = loadedModel.CreatePredictionEngine <ImageNetData, ImageNetPrediction>(mlContext);
DirectoryInfo testdir = new DirectoryInfo(TestDataFolder);
foreach (var jpgfile in testdir.GetFiles("*.jpg"))
{
ImageNetData image = new ImageNetData();
image.ImagePath = jpgfile.FullName;
var pred = predictor.Predict(image);
Console.WriteLine($"Filename:{jpgfile.Name}:\tPredict Result:{pred.PredictedLabelValue}");
}
}
