/// <summary>
/// This creates solid colored blobs with areas proportional to the number of items contained. When the user
/// mouses over a blob, the caller can show examples of the items as tooltips
/// </summary>
public static void ShowResults2D_Blobs(Border border, SOMResult result, Func<SOMNode, Color> getNodeColor, BlobEvents events = null)
{
#region validate
#if DEBUG
if (!result.Nodes.All(o => o.Position.Length == 2))
{
throw new ArgumentException("Node positions need to be 2D");
}
#endif
#endregion
Point[] points = result.Nodes.
Select(o => new Point(o.Position[0], o.Position[1])).
ToArray();
VoronoiResult2D voronoi = Math2D.GetVoronoi(points, true);
voronoi = Math2D.CapVoronoiCircle(voronoi);
Color[] colors = result.Nodes.
Select(o => getNodeColor(o)).
ToArray();
//ISOMInput[][] inputsByNode = UtilityCore.ConvertJaggedArray<ISOMInput>(result.InputsByNode);
Vector size = new Vector(border.ActualWidth - border.Padding.Left - border.Padding.Right, border.ActualHeight - border.Padding.Top - border.Padding.Bottom);
Canvas canvas = DrawVoronoi_Blobs(voronoi, colors, result.Nodes, result.InputsByNode, size.X.ToInt_Floor(), size.Y.ToInt_Floor(), events);
border.Child = canvas;
}
public DBRowsDetail(SelfOrganizingMapsDBWindow.QueryResults queryResults, SelfOrganizingMapsDBWindow.ColumnSetStats columns, SOMResult somResult, int nodeIndex)
{
InitializeComponent();
_queryResults = queryResults;
_columns = columns;
_somResult = somResult;
_nodeIndex = nodeIndex;
}
public DBRowsDetail(SelfOrganizingMapsDBWindow.QueryResults queryResults, SelfOrganizingMapsDBWindow.ColumnSetStats columns, SOMResult somResult, int nodeIndex)
{
InitializeComponent();
_queryResults = queryResults;
_columns = columns;
_somResult = somResult;
_nodeIndex = nodeIndex;
}
public void Add(VectorND item)
{
//TODO: Probably want something that ignores images if this is too soon from a previous call
SOMItem somItem = GetSOMItem(item, _instructions);
SOMResult result = _result;
if (result != null)
{
if (_discardDupes)
{
// Run this through the SOM
var closest = SelfOrganizingMaps.GetClosest(result.Nodes, somItem);
// If it's too similar to another, then just ignore it
if (IsTooClose(somItem, result.InputsByNode[closest.Item2], _dupeDistSquared))
{
return;
}
}
}
#region process batch
// Store this in a need-to-work list
// When that list gets to a certain size, build a new SOM
SOMItem[] newItemBatch = null;
lock (_lock)
{
_newItems.Add(somItem);
if (!_isProcessingBatch && _newItems.Count > _nextBatchSize)
{
_nextBatchSize = StaticRandom.Next(BATCHMIN, BATCHMAX);
newItemBatch = _newItems.ToArray();
_newItems.Clear();
_isProcessingBatch = true;
}
}
if (newItemBatch != null)
{
Task.Run(() => { _result = ProcessNewItemBatch(newItemBatch, _discardDupes, _dupeDistSquared, _result); }).
ContinueWith(t => { lock (_lock) _isProcessingBatch = false; });
}
#endregion
}
private static SOMResult ProcessNewItemBatch(SOMItem[] newItemBatch, bool discardDupes, double dupeDistSquared, SOMResult existing)
{
const int TOTALMAX = BATCHMAX * 10;
// Items only make it here when they aren't too similar to the som nodes, but items within this list may be dupes
if (discardDupes)
{
newItemBatch = DedupeItems(newItemBatch, dupeDistSquared);
}
if (newItemBatch.Length > BATCHMAX)
{
// There are too many, just take a sample
newItemBatch = UtilityCore.RandomRange(0, newItemBatch.Length, BATCHMAX).
Select(o => newItemBatch[o]).
ToArray();
}
SOMItem[] existingItems = null;
if (existing != null)
{
existingItems = existing.InputsByNode.
SelectMany(o => o).
Select(o => ((SOMInput <SOMItem>)o).Source).
ToArray();
}
SOMItem[] allItems = UtilityCore.ArrayAdd(existingItems, newItemBatch);
//TODO: This is too simplistic. See if existingItems + newItemBatch > total. If so, try to draw down the existing nodes evenly. Try
//to preserve previous images better. Maybe even throw in a timestamp to get a good spread of times
//
//or get a SOM of the new, independent of the old. Then merge the two pulling representatives to keep the most diversity. Finally,
//take a SOM of the combined
if (allItems.Length > TOTALMAX)
{
allItems = UtilityCore.RandomRange(0, allItems.Length, TOTALMAX).
Select(o => allItems[o]).
ToArray();
}
SOMInput <SOMItem>[] inputs = allItems.
Select(o => new SOMInput <SOMItem>()
{
Source = o, Weights = o.Weights,
}).
ToArray();
//TODO: May want rules to persist from run to run
SOMRules rules = GetSOMRules_Rand();
return(SelfOrganizingMaps.TrainSOM(inputs, rules, true));
}
/// <summary>
/// This divides the border up into a voronoi, then each node is tiled with examples
/// </summary>
public static void ShowResults2D_Tiled(Border border, SOMResult result, int tileWidth, int tileHeight, Action<DrawTileArgs> drawTile, BlobEvents events = null)
{
//TODO: Take a func that will render the input onto a writable bitmap, or something dynamic but efficient?
// or take these in?
//int tileWidth, int tileHeight
Point[] points = result.Nodes.
Select(o => new Point(o.Position[0], o.Position[1])).
ToArray();
Vector size = new Vector(border.ActualWidth - border.Padding.Left - border.Padding.Right, border.ActualHeight - border.Padding.Top - border.Padding.Bottom);
VoronoiResult2D voronoi = Math2D.GetVoronoi(points, true);
voronoi = Math2D.CapVoronoiCircle(voronoi);
//voronoi = Math2D.CapVoronoiRectangle(voronoi, aspectRatio: 1d); //TODO: Implement this
Canvas canvas = DrawVoronoi_Tiled(voronoi, result.Nodes, result.InputsByNode, size.X.ToInt_Floor(), size.Y.ToInt_Floor(), tileWidth, tileHeight, drawTile, events);
border.Child = canvas;
}
private void Exception_SOM(SOMRequest req, Exception ex)
{
_result = new SOMResult(new SOMNode[0], new RowInput[0][], false);
DoSOM();
}
private static SOMResult ProcessNewItemBatch(SOMItem[] newItemBatch, bool discardDupes, double dupeDistSquared, SOMResult existing)
{
const int TOTALMAX = BATCHMAX * 10;
// Items only make it here when they aren't too similar to the som nodes, but items within this list may be dupes
if (discardDupes)
{
newItemBatch = DedupeItems(newItemBatch, dupeDistSquared);
}
if (newItemBatch.Length > BATCHMAX)
{
// There are too many, just take a sample
newItemBatch = UtilityCore.RandomRange(0, newItemBatch.Length, BATCHMAX).
Select(o => newItemBatch[o]).
ToArray();
}
SOMItem[] existingItems = null;
if (existing != null)
{
existingItems = existing.InputsByNode.
SelectMany(o => o).
Select(o => ((SOMInput<SOMItem>)o).Source).
ToArray();
}
SOMItem[] allItems = UtilityCore.ArrayAdd(existingItems, newItemBatch);
//TODO: This is too simplistic. See if existingItems + newItemBatch > total. If so, try to draw down the existing nodes evenly. Try
//to preserve previous images better. Maybe even throw in a timestamp to get a good spread of times
//
//or get a SOM of the new, independent of the old. Then merge the two pulling representatives to keep the most diversity. Finally,
//take a SOM of the combined
if (allItems.Length > TOTALMAX)
{
allItems = UtilityCore.RandomRange(0, allItems.Length, TOTALMAX).
Select(o => allItems[o]).
ToArray();
}
SOMInput<SOMItem>[] inputs = allItems.
Select(o => new SOMInput<SOMItem>() { Source = o, Weights = o.Weights, }).
ToArray();
//TODO: May want rules to persist from run to run
SOMRules rules = GetSOMRules_Rand();
return SelfOrganizingMaps.TrainSOM(inputs, rules, true);
}
private void Timer_Tick(object sender, EventArgs e)
{
try
{
#region prep
lblError.Text = "";
lblError.Visibility = Visibility.Collapsed;
if (_recognizer == null)
{
_timer.Stop();
ClearVisuals("no recognizer set");
}
if (!_recognizer.IsOn)
{
ClearVisuals("Powered Off");
return;
}
Tuple <int, int> cameraWidthHeight = _recognizer.CameraWidthHeight;
if (cameraWidthHeight == null)
{
ClearVisuals("recognizer's camera not set");
return;
}
bool isColor = _recognizer.IsColor;
#endregion
#region latest image
double[] image = _recognizer.LatestImage;
if (image == null)
{
canvasPixels.Source = null;
}
else
{
if (isColor)
{
canvasPixels.Source = UtilityWPF.GetBitmap_RGB(image, cameraWidthHeight.Item1, cameraWidthHeight.Item2);
}
else
{
canvasPixels.Source = UtilityWPF.GetBitmap(image, cameraWidthHeight.Item1, cameraWidthHeight.Item2);
}
}
#endregion
#region nn outputs
Tuple <LifeEventType, double>[] nnOutputs = _recognizer.CurrentOutput;
panelOutputs.Children.Clear();
if (nnOutputs != null)
{
DrawNNOutputs(panelOutputs, nnOutputs);
}
#endregion
#region som
SOMResult som = _recognizer.SOM;
bool shouldRenderSOM = false;
if (som == null)
{
panelSOM.Visibility = Visibility.Collapsed;
panelSOM.Child = null;
_currentSom = null;
}
else if (som != null)
{
shouldRenderSOM = true;
if (_currentSom != null && som.Nodes.Length == _currentSom.Nodes.Length && som.Nodes.Length > 0 && som.Nodes[0].Token == _currentSom.Nodes[0].Token)
{
shouldRenderSOM = false;
}
}
if (shouldRenderSOM)
{
SelfOrganizingMapsWPF.ShowResults2D_Tiled(panelSOM, som, cameraWidthHeight.Item1, cameraWidthHeight.Item2, DrawSOMTile);
_currentSom = som;
panelSOM.Visibility = Visibility.Visible;
}
#endregion
#region training data
var trainingData = _recognizer.TrainingData;
if (trainingData == null || trainingData.Item1 == null || trainingData.Item1.ImportantEvents == null || trainingData.Item1.ImportantEvents.Length == 0)
{
_currentTrainingData = null;
panelTrainingData.Child = null;
panelTrainingData.Visibility = Visibility.Collapsed;
}
else
{
if (!IsSame(_currentTrainingData, trainingData))
{
_currentTrainingData = trainingData;
DrawTrainingData(panelTrainingData, trainingData);
panelTrainingData.Visibility = Visibility.Visible;
}
}
#endregion
}
catch (Exception ex)
{
lblError.Text = ex.Message;
lblError.Visibility = Visibility.Visible;
}
}
private void ColumnSlider_ValueChanged(object sender, EventArgs e)
{
try
{
SliderShowValues senderCast = sender as SliderShowValues;
if (senderCast == null)
{
MessageBox.Show("Couldn't cast sender as a SliderShowValues", TITLE, MessageBoxButton.OK, MessageBoxImage.Warning);
return;
}
ColumnStats column = senderCast.Tag as ColumnStats;
if (column == null)
{
MessageBox.Show("Couldn't cast sender.Tag as ColumnStats", TITLE, MessageBoxButton.OK, MessageBoxImage.Warning);
return;
}
column.Width = senderCast.Value.ToInt_Round();
_result = null;
DoSOM();
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), this.Title, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
private void ColumnTextCheckbox_Checked(object sender, RoutedEventArgs e)
{
try
{
CheckBox senderCast = sender as CheckBox;
if (senderCast == null)
{
MessageBox.Show("Couldn't cast sender as a checkbox", TITLE, MessageBoxButton.OK, MessageBoxImage.Warning);
return;
}
ColumnStats column = senderCast.Tag as ColumnStats;
if (column == null)
{
MessageBox.Show("Couldn't cast sender.Tag as ColumnStats", TITLE, MessageBoxButton.OK, MessageBoxImage.Warning);
return;
}
column.ForceText = senderCast.IsChecked.Value;
_result = null;
DoSOM();
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), TITLE, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
private void ShowResults_Disk(Border border, SOMResult result, Func<SOMNode, Color> getNodeColor)
{
Point[] points = result.Nodes.
Select(o => new Point(o.Position[0], o.Position[1])).
ToArray();
VoronoiResult2D voronoi = Math2D.GetVoronoi(points, true);
voronoi = Math2D.CapVoronoiCircle(voronoi);
Color[] colors = result.Nodes.
Select(o => getNodeColor(o)).
ToArray();
ImageInput[][] imagesByNode = UtilityCore.ConvertJaggedArray<ImageInput>(result.InputsByNode);
Vector size = new Vector(border.ActualWidth - border.Padding.Left - border.Padding.Right, border.ActualHeight - border.Padding.Top - border.Padding.Bottom);
Canvas canvas = DrawVoronoi(voronoi, colors, result.Nodes, imagesByNode, size.X.ToInt_Floor(), size.Y.ToInt_Floor());
border.Child = canvas;
// This is for the manual manipulate buttons
_nodes = result.Nodes;
_imagesByNode = imagesByNode;
_wasEllipseTransferred = false;
}
private void Timer_Tick(object sender, EventArgs e)
{
try
{
#region prep
lblError.Text = "";
lblError.Visibility = Visibility.Collapsed;
if (_recognizer == null)
{
_timer.Stop();
ClearVisuals("no recognizer set");
}
if (!_recognizer.IsOn)
{
ClearVisuals("Powered Off");
return;
}
Tuple<int, int> cameraWidthHeight = _recognizer.CameraWidthHeight;
if (cameraWidthHeight == null)
{
ClearVisuals("recognizer's camera not set");
return;
}
bool isColor = _recognizer.IsColor;
#endregion
#region latest image
double[] image = _recognizer.LatestImage;
if (image == null)
{
canvasPixels.Source = null;
}
else
{
if (isColor)
{
canvasPixels.Source = UtilityWPF.GetBitmap_RGB(image, cameraWidthHeight.Item1, cameraWidthHeight.Item2);
}
else
{
canvasPixels.Source = UtilityWPF.GetBitmap(image, cameraWidthHeight.Item1, cameraWidthHeight.Item2);
}
}
#endregion
#region nn outputs
Tuple<LifeEventType, double>[] nnOutputs = _recognizer.CurrentOutput;
panelOutputs.Children.Clear();
if (nnOutputs != null)
{
DrawNNOutputs(panelOutputs, nnOutputs);
}
#endregion
#region som
SOMResult som = _recognizer.SOM;
bool shouldRenderSOM = false;
if (som == null)
{
panelSOM.Visibility = Visibility.Collapsed;
panelSOM.Child = null;
_currentSom = null;
}
else if (som != null)
{
shouldRenderSOM = true;
if (_currentSom != null && som.Nodes.Length == _currentSom.Nodes.Length && som.Nodes.Length > 0 && som.Nodes[0].Token == _currentSom.Nodes[0].Token)
{
shouldRenderSOM = false;
}
}
if (shouldRenderSOM)
{
SelfOrganizingMapsWPF.ShowResults2D_Tiled(panelSOM, som, cameraWidthHeight.Item1, cameraWidthHeight.Item2, DrawSOMTile);
_currentSom = som;
panelSOM.Visibility = Visibility.Visible;
}
#endregion
#region training data
var trainingData = _recognizer.TrainingData;
if (trainingData == null || trainingData.Item1 == null || trainingData.Item1.ImportantEvents == null || trainingData.Item1.ImportantEvents.Length == 0)
{
_currentTrainingData = null;
panelTrainingData.Child = null;
panelTrainingData.Visibility = Visibility.Collapsed;
}
else
{
if (!IsSame(_currentTrainingData, trainingData))
{
_currentTrainingData = trainingData;
DrawTrainingData(panelTrainingData, trainingData);
panelTrainingData.Visibility = Visibility.Visible;
}
}
#endregion
}
catch (Exception ex)
{
lblError.Text = ex.Message;
lblError.Visibility = Visibility.Visible;
}
}
private static SelfOrganizingMapsDBWindow.RowInput[] GetMatchingRows(SelfOrganizingMapsDBWindow.ColumnStats[] columns, SelfOrganizingMapsDBWindow.QueryResults queryResults, SOMResult som, int nodeIndex)
{
return(SelfOrganizingMapsDBWindow.GetSOMInputs(columns, queryResults, false).
Where(o => SelfOrganizingMaps.GetClosest(som.Nodes, o).Item2 == nodeIndex).
ToArray());
}
private static SelfOrganizingMapsDBWindow.RowInput[] GetMatchingRows(SelfOrganizingMapsDBWindow.ColumnStats[] columns, SelfOrganizingMapsDBWindow.QueryResults queryResults, SOMResult som, int nodeIndex)
{
return SelfOrganizingMapsDBWindow.GetSOMInputs(columns, queryResults, false).
Where(o => SelfOrganizingMaps.GetClosest(som.Nodes, o).Item2 == nodeIndex).
ToArray();
}
/// <summary>
/// This looks at the current inputs, and starts a new SOM async
/// </summary>
private void DoSOM()
{
#region Init
// Parse all the inputs
QueryRequest queryReq = GetQueryRequest();
if (queryReq.Columns.Length == 0)
{
lblErrorMessage.Text = "No columns specified";
lblQueryStatus.Text = "";
pnlColumns.Children.Clear();
_queryResults = null;
_columns = null;
_result = null;
return;
}
#endregion
#region Query
// Run query if changed
if (_queryResults == null || _queryResults.ConnectionString != queryReq.ConnectionString || _queryResults.SQLStatement != queryReq.SQLStatement)
{
lblQueryStatus.Text = "Running query...";
lblErrorMessage.Text = "";
pnlColumns.Children.Clear();
_columns = null;
_result = null;
_workerQuery.Start(queryReq);
return; //_workerQuery.finish will call this method again, and execution will flow past this if statement
}
lblQueryStatus.Text = "";
if (!string.IsNullOrEmpty(_queryResults.Exception))
{
lblErrorMessage.Text = _queryResults.Exception;
_result = null;
return;
}
lblQueryStatus.Text = string.Format("{0} row{1}", _queryResults.Results.Length.ToString("N0"), _queryResults.Results.Length == 1 ? "" : "s");
#endregion
#region Columns
if (_columns != null)
{
_columns = _columns.CloneIfSameNames(queryReq.Columns, _queryResults.ColumnNames); //NOTE: This will still clone if it just holds an exception
}
if (_columns == null || !IsSame(queryReq.Columns, _columns.Names))
{
lblErrorMessage.Text = "";
_result = null;
_workerColumns.Start(new ColumnStatsRequest(queryReq.Columns, _queryResults));
return;
}
if (_columns != null && !string.IsNullOrEmpty(_columns.Exception))
{
lblErrorMessage.Text = _columns.Exception;
_result = null;
return;
}
#endregion
#region Do SOM
if (_result == null)
{
RowInput[] inputs = GetSOMInputs(_columns.Columns, _queryResults, true);
//TODO: Get these from the gui. Add an option to randomize against their settings
SOMRules rules = GetSOMRules_Rand();
//TODO: Make an option for display1D. Then do a SOM for each column and put the results in the column details dump
_workerSOM.Start(new SOMRequest(inputs, rules));
return;
}
#endregion
#region Show Results
var events = new SelfOrganizingMapsWPF.BlobEvents(Polygon_MouseMove, Polygon_MouseLeave, Polygon_Click);
SelfOrganizingMapsWPF.ShowResults2D_Blobs(panelDisplay, _result, SelfOrganizingMapsWPF.GetNodeColor, events);
#endregion
}
private void Finished_SOM(SOMRequest req, SOMResult result)
{
_result = result;
DoSOM();
}
private static void SaveImages(string parentFolder, string childFolder, int width, int height, SOMResult som, bool isColor)
{
if (som == null || som.InputsByNode == null || som.InputsByNode.Length == 0)
{
return;
}
// Pull out the images
double[][] images = som.InputsByNode.
SelectMany(o => o).
Select(o =>
{
var cast = o as SOMInput<SOMList.SOMItem>;
if (cast == null) return null;
return cast.Source.Original;
}).
Where(o => o != null).
ToArray();
SaveImages(parentFolder, childFolder, width, height, images, isColor);
}
public void Add(double[] item)
{
//TODO: Probably want something that ignores images if this is too soon from a previous call
SOMItem somItem = GetSOMItem(item, _instructions);
SOMResult result = _result;
if (result != null)
{
if (_discardDupes)
{
// Run this through the SOM
var closest = SelfOrganizingMaps.GetClosest(result.Nodes, somItem);
// If it's too similar to another, then just ignore it
if (IsTooClose(somItem, result.InputsByNode[closest.Item2], _dupeDistSquared))
{
return;
}
}
}
#region process batch
// Store this in a need-to-work list
// When that list gets to a certain size, build a new SOM
SOMItem[] newItemBatch = null;
lock (_lock)
{
_newItems.Add(somItem);
if (!_isProcessingBatch && _newItems.Count > _nextBatchSize)
{
_nextBatchSize = StaticRandom.Next(BATCHMIN, BATCHMAX);
newItemBatch = _newItems.ToArray();
_newItems.Clear();
_isProcessingBatch = true;
}
}
if (newItemBatch != null)
{
Task.Run(() => { _result = ProcessNewItemBatch(newItemBatch, _discardDupes, _dupeDistSquared, _result); }).
ContinueWith(t => { lock (_lock) _isProcessingBatch = false; });
}
#endregion
}