public Form1()
{
FilePath = "IRIS_Train.csv";
Tuple <double, double, double, double> Norm = Tuple.Create(10.0, 0.0, 3.0, 0.0);
List <double[]> input = new List <double[]>();
List <double[]> output = new List <double[]>();
var t = Data.ReadData("IRIS.csv", 4, 1, Norm, false);
input = t.Item1;
output = t.Item2;
PerceptronNetwork network = new MLP.PerceptronNetwork(new int[] { 4, 5, 5, 1 });
NetworkController = new MLP.Network_Control(network, output, input, 0.02, false, Norm, 4, 1);
InitializeComponent();
//Set image to the starting network's image
if (!cbdisabledrawing.Checked)
{
var Image = NetworkImage.Draw(network, network.Layers.Count);
IMG_NetworkTopography.Image = Image;
IMG_NetworkTopography.SizeMode = PictureBoxSizeMode.Zoom;
}
rtbConsole.Text = "";
NetworkController.Paused = true;
}
private void bControllerReset_Click(object sender, EventArgs e)
{
int inputCount;
int outputCount;
var structure = ParseStructureBox(out inputCount, out outputCount);
Tuple <double, double, double, double> Norm = Tuple.Create(10.0, 0.0, 3.0, 0.0);
List <double[]> input = new List <double[]>();
List <double[]> output = new List <double[]>();
var t = Data.ReadData(FilePath, inputCount, outputCount, Norm, rbMNIST.Checked);
input = t.Item1;
output = t.Item2;
PerceptronNetwork network = new MLP.PerceptronNetwork(structure);
NetworkController = new MLP.Network_Control(network, output, input, Double.Parse(tbLearningRate.Text), false, Norm, inputCount, outputCount);
cartesianChart1.Series[0].Values.Clear();
cartesianChart2.Series[0].Values.Clear();
cartesianChart3.Series[0].Values.Clear();
if (!cbdisabledrawing.Checked)
{
var Image = NetworkImage.Draw(NetworkController.Network, NetworkController.Network.Layers.Count);
IMG_NetworkTopography.Image = Image;
}
}
private void bControllerStep_Click(object sender, EventArgs e)
{
NetworkController.Step();
if (!chartsDisabled)
{
cartesianChart1.Series[0].Values.Add(NetworkController.CurrentError);
}
rtbConsole.Text += "Error: " + NetworkController.CurrentError + " | Iteration: " + NetworkController.CurrentIteration + "\n";
if (!chartsDisabled)
{
cartesianChart2.Series[0].Values.Add(NetworkController.Delay_Historian[NetworkController.Delay_Historian.Count - 1].TotalMilliseconds);
}
rtbConsole.SelectionStart = rtbConsole.Text.Length;
rtbConsole.ScrollToCaret();
lbElapsed.Text = "" + (NetworkController.Delay_Historian.Sum(item => item.Milliseconds)) + "ms";
lbBestError.Text = "" + Math.Round(NetworkController.BestError, 4);
lbIterationNumber.Text = "" + NetworkController.CurrentIteration;
if (!cbdisabledrawing.Checked)
{
var Image = NetworkImage.Draw(NetworkController.Network, NetworkController.Network.Layers.Count);
IMG_NetworkTopography.Image = Image;
}
if (NetworkController.Error_Historian.Count > 2)
{
if (!chartsDisabled)
{
cartesianChart3.Series[0].Values.Add(NetworkController.Error_Historian[NetworkController.Error_Historian.Count - 2] - NetworkController.Error_Historian[NetworkController.Error_Historian.Count - 1]);
}
}
}
public static Image network(
string src,
Key key = null,
float scale = 1.0f,
float?width = null,
float?height = null,
Color color = null,
BlendMode colorBlendMode = BlendMode.srcIn,
BoxFit?fit = null,
Alignment alignment = null,
ImageRepeat repeat = ImageRepeat.noRepeat,
Rect centerSlice = null,
bool gaplessPlayback = false,
FilterMode filterMode = FilterMode.Point,
IDictionary <string, string> headers = null
)
{
var networkImage = new NetworkImage(src, scale, headers);
return(new Image(
key,
networkImage,
width,
height,
color,
colorBlendMode,
fit,
alignment,
repeat,
centerSlice,
gaplessPlayback,
filterMode
));
}
void LoadImage(string url)
{
Dictionary <string, string> headers = new Dictionary <string, string>();
NetworkImage networkImage = new NetworkImage(url, headers: headers);
ImageConfiguration imageConfig = new ImageConfiguration();
this._stream = networkImage.resolve(imageConfig);
}
private void bConstruct_Click(object sender, EventArgs e)
{
if (!cbdisabledrawing.Checked)
{
var Image = NetworkImage.Draw(NetworkController.Network, NetworkController.Network.Layers.Count);
IMG_NetworkTopography.Image = Image;
}
bControllerReset_Click(sender, e);
}
public static FadeInImage memoryNetwork(
byte[] placeholder,
string image,
Key key = null,
ImageErrorWidgetBuilder placeholderErrorBuilder = null,
ImageErrorWidgetBuilder imageErrorBuilder = null,
float placeholderScale = 1.0f,
float imageScale = 1.0f,
TimeSpan?fadeOutDuration = null,
Curve fadeOutCurve = null,
TimeSpan?fadeInDuration = null,
Curve fadeInCurve = null,
float?width = null,
float?height = null,
BoxFit?fit = null,
AlignmentGeometry alignment = null,
ImageRepeat repeat = ImageRepeat.noRepeat,
bool matchTextDirection = false,
int?placeholderCacheWidth = null,
int?placeholderCacheHeight = null,
int?imageCacheWidth = null,
int?imageCacheHeight = null
)
{
alignment = alignment ?? Alignment.center;
fadeOutDuration = fadeOutDuration ?? TimeSpan.FromMilliseconds(300);
fadeOutCurve = fadeOutCurve ?? Curves.easeOut;
fadeInDuration = fadeInDuration ?? TimeSpan.FromMilliseconds(700);
fadeInCurve = fadeInCurve ?? Curves.easeIn;
ImageProvider memoryImage = new MemoryImage(placeholder, placeholderScale);
ImageProvider networkImage = new NetworkImage(image, imageScale);
//placeholder = ResizeImage.resizeIfNeeded(placeholderCacheWidth, placeholderCacheHeight, memoryImage);
//image = ResizeImage.resizeIfNeeded(imageCacheWidth, imageCacheHeight, networkImage);
return(new FadeInImage(
placeholder: ResizeImage.resizeIfNeeded(placeholderCacheWidth, placeholderCacheHeight, memoryImage),
placeholderErrorBuilder: placeholderErrorBuilder,
image: ResizeImage.resizeIfNeeded(imageCacheWidth, imageCacheHeight, networkImage),
imageErrorBuilder: imageErrorBuilder,
fadeOutDuration: fadeOutDuration,
fadeOutCurve: fadeOutCurve,
fadeInDuration: fadeInDuration,
fadeInCurve: fadeInCurve,
width: width, height: height,
fit: fit,
alignment: alignment,
repeat: repeat,
matchTextDirection: matchTextDirection,
key: key
));
}
public static FadeInImage assetNetwork(
string placeholder,
string image,
AssetBundle bundle = null,
float?placeholderScale = null,
float imageScale = 1.0f,
TimeSpan?fadeOutDuration = null,
Curve fadeOutCurve = null,
TimeSpan?fadeInDuration = null,
Curve fadeInCurve = null,
float?width = null,
float?height = null,
BoxFit?fit = null,
Alignment alignment = null,
ImageRepeat repeat = ImageRepeat.noRepeat,
Key key = null
)
{
D.assert(placeholder != null);
D.assert(image != null);
D.assert(fadeOutDuration != null);
D.assert(fadeOutCurve != null);
D.assert(fadeInDuration != null);
D.assert(fadeInCurve != null);
D.assert(alignment != null);
var imageProvider = placeholderScale != null
? new ExactAssetImage(placeholder, bundle: bundle, scale: placeholderScale ?? 1.0f)
: (ImageProvider) new AssetImage(placeholder, bundle: bundle);
var networkImage = new NetworkImage(image, imageScale);
return(new FadeInImage(
imageProvider,
networkImage,
fadeOutDuration,
fadeOutCurve,
fadeInDuration,
fadeInCurve,
width, height,
fit,
alignment,
repeat,
key
));
}
public static FadeInImage memoryNetwork(
byte[] placeholder,
string image,
float placeholderScale = 1.0f,
float imageScale = 1.0f,
TimeSpan?fadeOutDuration = null,
Curve fadeOutCurve = null,
TimeSpan?fadeInDuration = null,
Curve fadeInCurve = null,
float?width = null,
float?height = null,
BoxFit?fit = null,
Alignment alignment = null,
ImageRepeat repeat = ImageRepeat.noRepeat,
Key key = null
)
{
D.assert(placeholder != null);
D.assert(image != null);
D.assert(fadeOutDuration != null);
D.assert(fadeOutCurve != null);
D.assert(fadeInDuration != null);
D.assert(fadeInCurve != null);
D.assert(alignment != null);
var memoryImage = new MemoryImage(placeholder, placeholderScale);
var networkImage = new NetworkImage(image, imageScale);
return(new FadeInImage(
memoryImage,
networkImage,
fadeOutDuration,
fadeOutCurve,
fadeInDuration,
fadeInCurve,
width, height,
fit,
alignment,
repeat,
key
));
}
public static ImageProvider _createImageProvider(AvatarImageType imageType, string _imagePath)
{
ImageProvider tmp_ImageProvider = null;
switch (imageType)
{
case AvatarImageType.NetWork:
tmp_ImageProvider = new NetworkImage(_imagePath);
break;
case AvatarImageType.Asset:
tmp_ImageProvider = new AssetImage(_imagePath);
break;
case AvatarImageType.Memory:
byte[] bytes = File.ReadAllBytes(_imagePath);
tmp_ImageProvider = new MemoryImage(bytes: bytes);
break;
}
return(tmp_ImageProvider);
}
private Widget BuildTextUsingMixedContent(
BuildContext context,
IEnumerable <MixedContent> summary)
{
if (summary is null)
{
return(new Container());
}
var version = DocApp.of(context).version;
return(new SelectableWealthyText(
textSpanList: summary.Select(item =>
{
switch (item)
{
case DocumentCharData charData:
return new TextSpan(charData.content);
case DocumentTagLink link:
return new TextSpan(
link.content,
style: HyperLinkStyle,
recognizer: new TapGestureRecognizer
{
onTap = () => LocationUtil.Go(link.@ref),
}
);
case DocumentTagBreak br:
return new TextSpan("\n");
case DocumentTagBold bold:
return new TextSpan(
bold.content,
style: new TextStyle(
fontWeight: FontWeight.w500
)
);
case DocumentTagImage image:
var networkImage =
new NetworkImage(
$"{Configuration.Instance.cdnPrefix}/{version.unityVersion}/{version.parsedVersion}/scripting/static/{image.name.Replace('-', '_')}");
networkImage.resolve(new ImageConfiguration());
return new ImageSpan(
networkImage,
margin: EdgeInsets.symmetric(vertical: 16f),
imageWidth: _imageMetas[image.name].width,
imageHeight: _imageMetas[image.name].height
);
case DocumentTagItalic italic:
return new TextSpan(
italic.content,
style: new TextStyle(
fontStyle: FontStyle.italic
)
);
}
return null;
}).Where(span => span != null).ToList(),
style: NormalTextStyle
));
}
