public void Should_Detect_Slugs(float weight, float diameter)
{
// Arrange (see weight and diameter)
// Act
int actualCoin = CoinDetector.CoinValue(weight, diameter);
// Assert
Assert.Equal(0, actualCoin);
}
public void Should_Detect_A_Nickel()
{
// Arrange
float weight = 5.02f;
float diameter = 21.1f;
// Act
int actualCoin = CoinDetector.CoinValue(weight, diameter);
// Assert
Assert.Equal(5, actualCoin);
}
public void Should_Detect_A_Quarter()
{
// Arrange
float weight = 5.67f;
float diameter = 25.0f;
// Act
int actualCoin = CoinDetector.CoinValue(weight, diameter);
// Assert
Assert.Equal(25, actualCoin);
}
public void Should_Detect_A_Dime()
{
// Arrange
float weight = 2.25f;
float diameter = 18.0f;
// Act
int actualCoin = CoinDetector.CoinValue(weight, diameter);
// Assert
Assert.Equal(10, actualCoin);
}
static void Main(string[] args)
{
string filePath = @"C:/Users/arnal/Documents/coins.jpg";
var coinDetector = new CoinDetector(filePath);
coinDetector.ImagePreprocessing();
var numberClasses = 60;
var fileExt = new string[] { ".png" };
var dataSetFilePath = @"C:/Users/arnal/Downloads/coin_dataset";
var predictImgPath = dataSetFilePath + "/" + "class6_image1.png";
var dataSet = new PreProcessing.DataSet(dataSetFilePath, fileExt, numberClasses, 0.2);
dataSet.LoadDataSet();
var cnn = new Cnn(dataSet);
cnn.Train();
//Console.WriteLine("Predicted: " + cnn.Predict(predictImgPath));
Console.ReadLine();
}
