/// <summary>
/// Recognizes the given strokes. Used by ComboRecognizer.
/// </summary>
/// <param name="strokes">The list of strokes to recognize</param>
/// <returns>A ranked list of possible ShapeType matches</returns>
public List <ShapeType> Recognize(List <Substroke> strokes)
{
BitmapSymbol unknown = new BitmapSymbol(strokes);
List <SymbolRank> results = unknown.Recognize(_templates);
List <ShapeType> output = new List <ShapeType>();
foreach (SymbolRank sr in results)
{
output.Add(sr.SymbolType);
}
return(output);
}
/// <summary>
/// Uses the RecognitionInterfaces.Recognizer recognize method
/// which recognizes and assigns the type of a shape. This
/// implementation allows the use of the learnFromExample
/// method in Interface Functions.
/// </summary>
/// <param name="shape">The shape to recognize</param>
/// <param name="featureSketch">The featureSketch to use</param>
public override void recognize(Sketch.Shape shape, Featurefy.FeatureSketch featureSketch)
{
BitmapSymbol unknown = new BitmapSymbol(shape.SubstrokesL);
List <SymbolRank> results = unknown.Recognize(_templates);
if (results.Count > 0)
{
// Populate the dictionary of alterateTypes with all of the ShapeTypes in results
Dictionary <ShapeType, double> alternateTypes = new Dictionary <ShapeType, double>();
if (debug)
{
Console.WriteLine("\nRecognition results: ");
}
foreach (SymbolRank result in results)
{
if (!alternateTypes.ContainsKey(result.SymbolType))
{
alternateTypes.Add(result.SymbolType, getProbability(result.SymbolType, results));
}
if (debug)
{
Console.WriteLine(result.SymbolType + " with template " + result.SymbolName);
}
}
ShapeType type = results[0].SymbolType; // the most likely type
float probability = (float)alternateTypes[type]; // grab the probability of our most likely type
alternateTypes.Remove(type); // the most likely type is NOT an alternate
shape.setRecognitionResults(
type,
probability,
alternateTypes,
results[0].BestOrientation,
results[0].SymbolName);
}
}
/// <summary>
/// Recognize a shape as if it had the given type
/// </summary>
/// <param name="symbol"></param>
/// <param name="types"></param>
/// <returns></returns>
public Dictionary <ShapeType, RecognitionInterfaces.RecognitionResult> RecognitionResults(BitmapSymbol symbol, IEnumerable <ShapeType> types)
{
if (_templates.Count == 0)
{
throw new Exception("Cannot recognize a symbol when there are no available templates");
}
var recResults = new Dictionary <ShapeType, RecognitionInterfaces.RecognitionResult>();
RecoResult allResults = symbol.Recognize(_templates);
List <SymbolRank> results = allResults.SortedResults(ResultType.FUSION);
if (results.Count == 0)
{
throw new Exception("Image recognition failed on bitmap symbol " + symbol);
}
Dictionary <ShapeType, double> alternateTypes = new Dictionary <ShapeType, double>();
// Loop through them from most-likely to least-likely.
foreach (SymbolRank result in results)
{
if (!recResults.ContainsKey(result.SymbolType))
{
double partialHausdorff = allResults.getSR(ResultType.PARTIAL_HAUSDORFF, result.Symbol).Distance;
double modHausdorff = allResults.getSR(ResultType.MOD_HAUSDORFF, result.Symbol).Distance;
double yule = allResults.getSR(ResultType.YULE, result.Symbol).Distance;
double tanimoto = allResults.getSR(ResultType.TANIMOTO, result.Symbol).Distance;
ImageRecognitionResult r = new ImageRecognitionResult(
result.SymbolType,
partialHausdorff,
modHausdorff,
yule,
tanimoto,
getProbabilityFromTotalDistance(result),
result.BestOrientation,
alternateTypes,
result.SymbolName,
result.Symbol.toBitmap());
recResults.Add(result.SymbolType, r);
}
if (!alternateTypes.ContainsKey(result.SymbolType))
{
alternateTypes.Add(result.SymbolType, getProbabilityFromTotalDistance(result));
}
}
foreach (ShapeType type in types)
{
if (!recResults.ContainsKey(type))
{
recResults.Add(type, new ImageRecognitionResult(
type,
0, 0, 0, 0, 0, 0, new Dictionary <ShapeType, double>(), "", null));
}
}
return(recResults);
}
/// <summary>
/// Recognize a shape.
/// </summary>
/// <param name="shape"></param>
/// <param name="featureSketch"></param>
/// <returns>An ImageRecognitionResult. If you know you are dealing with an ImageRecognizer, you can cast the returned
/// RecognitionResult to an ImageRecognitionResult safely.</returns>
public override RecognitionInterfaces.RecognitionResult recognize(Sketch.Shape shape, Featurefy.FeatureSketch featureSketch)
{
// Gaaghaghagahga
// C# has one flaw, and I found it:
// http://www.simple-talk.com/community/blogs/simonc/archive/2010/07/14/93495.aspx
// In short, this method must return a generic "RecognitionResult" and cannot return
// the better "ImageRecognitionResult," even though doing so would be perfectly
// type-safe. =(
BitmapSymbol unknown = _shapesToSymbols[shape];
RecoResult allResults = unknown.Recognize(_templates);
List <SymbolRank> results = allResults.SortedResults(ResultType.FUSION);
if (results.Count > 0)
{
// Populate the dictionary of alterateTypes with all of the ShapeTypes in results
var alternateTypes = new Dictionary <ShapeType, double>();
#if JESSI
Console.WriteLine();
Console.WriteLine("\nRecognition results: ");
#endif
foreach (SymbolRank result in results)
{
if (!alternateTypes.ContainsKey(result.SymbolType))
{
alternateTypes.Add(result.SymbolType, getProbabilityFromTotalDistance(result));
}
#if JESSI
if (debug)
{
Console.WriteLine(result.SymbolType + " with template " + result.SymbolName);
}
#endif
}
ShapeType type = results[0].SymbolType; // the most likely type
float probability = (float)alternateTypes[type]; // grab the probability of our most likely type
alternateTypes.Remove(type); // the most likely type is NOT an alternate
double confidence = getProbabilityFromTotalDistance(results[0]);
double orientation = results[0].BestOrientation;
string templateName = results[0].SymbolName;
System.Drawing.Bitmap templateBitmap = results[0].Symbol.toBitmap();
double partialHausdorff = allResults.getSR(ResultType.PARTIAL_HAUSDORFF, results[0].Symbol).Distance;
double modHausdorff = allResults.getSR(ResultType.MOD_HAUSDORFF, results[0].Symbol).Distance;
double yule = allResults.getSR(ResultType.YULE, results[0].Symbol).Distance;
double tanimoto = allResults.getSR(ResultType.TANIMOTO, results[0].Symbol).Distance;
return(new ImageRecognitionResult(
type,
partialHausdorff,
modHausdorff,
yule,
tanimoto,
confidence,
orientation,
alternateTypes,
templateName,
templateBitmap));
}
throw new Exception("Image recognition failed on shape " + shape);
}