public NoiseWave()
{
incRange = Random.Range(0.000001f, 0.5f);
incNoiseAmt = Random.Range(0.0000001f, 0.1f);
incNoise = new Noiser(Mathf.Deg2Rad * -incRange, Mathf.Deg2Rad * incRange, incNoiseAmt);
amp = 0;
ampRange = (1f / incRange);
ampNoiseAmt = Random.Range(0.01f, 0.1f);
ampNoise = new Noiser(Mathf.Deg2Rad * -ampRange, Mathf.Deg2Rad * ampRange, ampNoiseAmt);
angle = Random.Range(0f, TWO_PI);
}
public async Task Load(double noise, string directory)
{
if (Images.Count <= 0)
{
Images = new ObservableCollection <ImageFile>(await ImageLoader.LoadImagesFromDir(directory));
}
if (Images.Count > 0)
{
Width = Images[0].Width;
Height = Images[0].Height;
MaxGrayVal = Images[0].MaxGrayVal;
}
// Shuffle images
if (_start == 0 && _epoch == 0)
{
var rand = new Random();
for (var i = Images.Count - 1; i >= 0; i--)
{
var j = rand.Next(i);
var temp = Images[j];
Images[j] = Images[i];
Images[i] = temp;
}
}
var noiser = new Noiser(noise);
NoisedImages = new ObservableCollection <ImageFile>(await noiser.NoiseImagesAsync(Images));
ResultImages = new ObservableCollection <ImageFile>();
OnPropertyChanged(nameof(Images));
OnPropertyChanged(nameof(NoisedImages));
OnPropertyChanged(nameof(ResultImages));
}
