public void TestCalculate()
{
Image image = new Image(2, 3);
image[0, 0] = 0.0;
image[0, 1] = 1.0;
image[1, 0] = 2.0;
image[1, 1] = 3.0;
image[2, 0] = 4.0;
image[2, 1] = 5.0;
Classifier[] classifiers = {
new Classifier(new Filter(0, 0, 1, 1), new Quantizer(0.01, 1.01, 1.5)),
};
FingerprintCalculator calculator = new FingerprintCalculator(classifiers);
int[] fp = calculator.Calculate(image);
Assert.AreEqual(3, fp.Length);
Assert.AreEqual(TestsHelper.GrayCode(0), fp[0]);
Assert.AreEqual(TestsHelper.GrayCode(2), fp[1]);
Assert.AreEqual(TestsHelper.GrayCode(3), fp[2]);
}
/// <summary>
/// Calculate the fingerprint based on the provided audio data.
/// </summary>
public int[] Finish()
{
m_audio_processor.Flush();
return(m_fingerprint_calculator.Calculate(m_image));
}
