public void MeanPreprocessorConstructorTest()
{
Random rnd = new Random();
for (int i = 0; i < 1000; i++)
{
int iWindowSize = rnd.Next();
MeanPreprocessor target = new MeanPreprocessor(iWindowSize);
Assert.AreEqual <int>(iWindowSize, target.WindowSize);
}
}
public MainWindow()
{
try
{
var inputNode = ConfigurationManager.AppSettings["inputnode"];
var ageOutputNode = ConfigurationManager.AppSettings["ageoutputnode"];
var genderOutputNode = ConfigurationManager.AppSettings["genderoutputnode"];
var outputNodes = new ValueTuple <string, string>(ageOutputNode, genderOutputNode);
_runner = new PbRunnerWithWarmUp(inputNode, outputNodes, 150, 150, 3);
var meanJsonPath = ConfigurationManager.AppSettings["meanjsonpath"];
IProcessor meanPreprocessor = new MeanPreprocessor(meanJsonPath);
IProcessor dividePreprocessor = new DividePreprocessor(127.5);
IResizable resizer = new FaceResizer();
_hogLocator = new FaceLocatorDlib();
_haarLocator = new FaceLocatorOpenCv();
_predictor = new AgeAndGenderPredictor(_runner, inputNode,
ageOutputNode, genderOutputNode)
{
Locator = _hogLocator,
Resizer = resizer,
Preprocessors = new List <IProcessor>
{
meanPreprocessor,
dividePreprocessor
}
};
_annotator = new Annotator();
}
catch (Exception ex)
{
var message = $"An error has occured : {Environment.NewLine}{ex.Message}";
while (ex.InnerException != null)
{
ex = ex.InnerException;
message += $"{Environment.NewLine}{ex.Message}";
}
MessageBox.Show(message, "Error", MessageBoxButton.OK, MessageBoxImage.Error);
Application.Current.Shutdown();
}
InitializeComponent();
DataContext = Context;
}
public void ProcessUnordinaryWindowSizesTest()
{
MeanPreprocessor target = new MeanPreprocessor(6);
double[] iArray = { 1, 2, 3, 4, 5, 6 };
double[] expected = { 3.5 };
BSDataObject actual = target.Process(new BSDataObject(iArray));
CheckTwoOrderedArrays(actual.DataArray, expected);
target = new MeanPreprocessor(5);
iArray = new double[] { 1, 2, 3, 4 };
actual = target.Process(new BSDataObject(iArray));
Assert.AreEqual <int>(0, actual.DataArray.Length);
}
public void ProcessTest()
{
MeanPreprocessor target = new MeanPreprocessor(5);
double[] iArray = { 1, 2, 3, 10, 5, 7, 4, 2, 12, 3, 10 };
double[] expected = { 4.2, 5.4, 5.8, 5.6, 6, 5.6, 6.2 };
BSDataObject actual = target.Process(new BSDataObject(iArray));
CheckTwoOrderedArrays(actual.DataArray, expected);
target = new MeanPreprocessor(4);
iArray = new double[] { 1, 2, 3, 4, 5 };
expected = new double[] { 2.5, 3.5 };
actual = target.Process(new BSDataObject(iArray));
CheckTwoOrderedArrays(actual.DataArray, expected);
}
public void MeanPreprocessorConstructorWindowSizeOnlyPositiveTest()
{
int iWindowSize = -10;
MeanPreprocessor target = new MeanPreprocessor(iWindowSize);
}
