public Fingerprinter(FingerprinterConfiguration config, IFFTService fftService)
{
m_image = new Image(12);
if (config == null)
{
config = new FingerprinterConfigurationTest1();
}
m_image_builder = new ImageBuilder(m_image);
m_chroma_normalizer = new ChromaNormalizer(m_image_builder);
m_chroma_filter = new ChromaFilter(config.FilterCoefficients, m_chroma_normalizer);
m_chroma = new Chroma(MIN_FREQ, MAX_FREQ, FRAME_SIZE, SAMPLE_RATE, m_chroma_filter);
//m_chroma.set_interpolate(true);
// TODO: inject IFFTService
m_fft = new FFT(FRAME_SIZE, OVERLAP, m_chroma, fftService);
if (config.RemoveSilence)
{
m_silence_remover = new SilenceRemover(m_fft);
m_silence_remover.Threshold = config.SilenceThreshold;
m_audio_processor = new AudioProcessor(SAMPLE_RATE, m_silence_remover);
}
else
{
m_silence_remover = null;
m_audio_processor = new AudioProcessor(SAMPLE_RATE, m_fft);
}
m_fingerprint_calculator = new FingerprintCalculator(config.Classifiers);
m_config = config;
}
public Fingerprinter(FingerprinterConfiguration config, IFFTService fftService)
{
m_image = new Image(12);
if (config == null)
{
config = new FingerprinterConfigurationTest1();
}
m_image_builder = new ImageBuilder(m_image);
m_chroma_normalizer = new ChromaNormalizer(m_image_builder);
m_chroma_filter = new ChromaFilter(config.FilterCoefficients, m_chroma_normalizer);
m_chroma = new Chroma(MIN_FREQ, MAX_FREQ, FRAME_SIZE, SAMPLE_RATE, m_chroma_filter);
//m_chroma.set_interpolate(true);
// TODO: inject IFFTService
m_fft = new FFT(FRAME_SIZE, OVERLAP, m_chroma, fftService);
if (config.RemoveSilence)
{
m_silence_remover = new SilenceRemover(m_fft);
m_silence_remover.Threshold = config.SilenceThreshold;
m_audio_processor = new AudioProcessor(SAMPLE_RATE, m_silence_remover);
}
else
{
m_silence_remover = null;
m_audio_processor = new AudioProcessor(SAMPLE_RATE, m_fft);
}
m_fingerprint_calculator = new FingerprintCalculator(config.Classifiers);
m_config = config;
}
/// <summary>
/// Computes the chromagram of an audio file.
/// </summary>
/// <param name="decoder">The <see cref="IDecoder"/> instance.</param>
/// <returns>Chroma image.</returns>
public static Image ComputeChromagram(IDecoder decoder)
{
var image = new Image(12);
var image_builder = new ImageBuilder(image);
var chroma_normalizer = new ChromaNormalizer(image_builder);
var chroma_filter = new ChromaFilter(ChromaFilterCoefficients, chroma_normalizer);
var chroma = new Chroma(MIN_FREQ, MAX_FREQ, FRAME_SIZE, SAMPLE_RATE, chroma_filter);
var fft = new FFT(FRAME_SIZE, OVERLAP, chroma, new LomontFFTService());
var processor = new AudioProcessor(SAMPLE_RATE, fft);
processor.Reset(decoder.SampleRate, decoder.Channels);
decoder.Decode(processor, 120);
processor.Flush();
return image;
}
public void TestDiff()
{
double[] coefficients = { 1.0, -1.0 };
Image image = new Image(12);
ImageBuilder builder = new ImageBuilder(image);
ChromaFilter filter = new ChromaFilter(coefficients, builder);
double[] d1 = { 0.0, 5.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
double[] d2 = { 1.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
double[] d3 = { 2.0, 7.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
filter.Consume(d1);
filter.Consume(d2);
filter.Consume(d3);
Assert.AreEqual(2, image.Rows);
Assert.AreEqual(-1.0, image.Get(0, 0));
Assert.AreEqual(-1.0, image.Get(1, 0));
Assert.AreEqual(-1.0, image.Get(0, 1));
Assert.AreEqual(-1.0, image.Get(1, 1));
}
public static Image Compute(string file, IDecoder decoder)
{
Image image = new Image(12);
ImageBuilder image_builder = new ImageBuilder(image);
ChromaNormalizer chroma_normalizer = new ChromaNormalizer(image_builder);
ChromaFilter chroma_filter = new ChromaFilter(ChromaFilterCoefficients, chroma_normalizer);
//Chroma chroma = new Chroma(MIN_FREQ, MAX_FREQ, FRAME_SIZE, SAMPLE_RATE, &chroma_normalizer);
Chroma chroma = new Chroma(MIN_FREQ, MAX_FREQ, FRAME_SIZE, SAMPLE_RATE, chroma_filter);
FFT fft = new FFT(FRAME_SIZE, OVERLAP, chroma);
AudioProcessor processor = new AudioProcessor(SAMPLE_RATE, fft);
processor.Reset(decoder.SampleRate, decoder.Channels);
decoder.Decode(processor, 120);
processor.Flush();
//ExportImage(image, name);
return image;
}
public void TestBlur3()
{
double[] coefficients = { 0.5, 0.7, 0.5 };
Image image = new Image(12, 0);
ImageBuilder builder = new ImageBuilder(image);
ChromaFilter filter = new ChromaFilter(coefficients, builder);
double[] d1 = { 0.0, 5.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
double[] d2 = { 1.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
double[] d3 = { 2.0, 7.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
double[] d4 = { 3.0, 8.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
filter.Consume(d1);
filter.Consume(d2);
filter.Consume(d3);
filter.Consume(d4);
Assert.AreEqual(2, image.Rows);
Assert.AreEqual(1.7, image.Get(0, 0), TestsHelper.EPS);
Assert.AreEqual(3.399999999999999, image.Get(1, 0), TestsHelper.EPS);
Assert.AreEqual(10.199999999999999, image.Get(0, 1), TestsHelper.EPS);
Assert.AreEqual(11.899999999999999, image.Get(1, 1), TestsHelper.EPS);
}
