public void ShouldGetTestInputsInSameOrderWhenTrainingOrderSetToRandom()
{
var sensor = new BitmapPicture2DSensor(Default.AutomaticSize, Default.AutomaticSize, 0, 1, TrainingOrder.Random);
sensor.AddTestFolder(TrainingSetPath);
var nbInputs = 0;
var categories = new List<string>();
foreach (var input in sensor.GetTestInputs())
{
Assert.IsNotNull(input.CurrentFile);
//Debug.WriteLine(input.CurrentFile);
Assert.IsFalse(string.IsNullOrWhiteSpace(input.CategoryName));
categories.Add(input.CategoryName);
foreach (var iteration in input)
{
nbInputs++;
}
}
Assert.AreEqual(TrainingSetSize, nbInputs);
// Compare with normal order sequence
var normalCategories = new List<string>();
var normalSensor = new BitmapPicture2DSensor(Default.AutomaticSize, Default.AutomaticSize, 0, 1, TrainingOrder.Normal);
normalSensor.AddTestFolder(TrainingSetPath);
foreach (var input in normalSensor.GetTestInputs(false))
{
normalCategories.Add(input.CategoryName);
}
Assert.IsTrue(categories.SequenceEqual(normalCategories));
}
public void ShouldGetTestInputsInNormalAlphabeticalOrder()
{
var sensor = new BitmapPicture2DSensor();
sensor.AddTestFolder(TrainingSetPath);
var nbInputs = 0;
var prevInput = "";
foreach (var input in sensor.GetTestInputs())
{
Assert.IsNotNull(input.CurrentFile);
Assert.IsFalse(string.IsNullOrWhiteSpace(input.CategoryName));
Assert.IsTrue(input.CurrentFile.Name.CompareTo(prevInput) > 0);
prevInput = input.CurrentFile.Name;
foreach (var iteration in input)
{
nbInputs++;
}
}
Assert.AreEqual(TrainingSetSize, nbInputs);
}