public void TestXMLConversion()
{
const string filename = "tmp.xml";
Domain.ShapeType testType = Domain.LogicDomain.AND;
Sketch.Sketch sketch1 = Sketches.newValidSketch();
foreach (Sketch.Shape shape in sketch1.Shapes)
{
shape.Type = testType;
}
ConverterXML.SaveToXML writer = new ConverterXML.SaveToXML(sketch1);
writer.WriteXML(filename);
ConverterXML.ReadXML reader = new ConverterXML.ReadXML(filename);
Sketch.Sketch sketch2 = reader.Sketch;
sketch2.CheckConsistency();
Assert.IsTrue(sketch1.Equals(sketch2), "Original sketch is not equal to the loaded sketch");
Assert.IsTrue(sketch2.Equals(sketch1), "Loaded sketch is not equal to the original");
foreach (Sketch.Shape shape in sketch2.Shapes)
{
Assert.AreEqual(testType, shape.Type, "Shape types are not preserved across save/load");
}
}
public void TestXMLConversion()
{
const string filename = "tmp.xml";
RecognitionResult type = new RecognitionResult(LogicDomain.AND, 0.9, 0.33);
Sketch.Project project1 = new Sketch.Project(Sketches.newValidSketch());;
foreach (Sketch.Shape shape in project1.sketch.Shapes)
{
type.ApplyToShape(shape);
}
ConverterXML.SaveToXML writer = new ConverterXML.SaveToXML(project1);
writer.WriteXML(filename);
ConverterXML.ReadXML reader = new ConverterXML.ReadXML(filename);
Sketch.Sketch sketch2 = reader.Sketch;
sketch2.CheckConsistency();
Assert.IsTrue(project1.sketch.Equals(sketch2), "Original sketch is not equal to the loaded sketch");
Assert.IsTrue(sketch2.Equals(project1.sketch), "Loaded sketch is not equal to the original");
foreach (Sketch.Shape shape in sketch2.Shapes)
{
Assert.AreEqual(type.Type, shape.Type, "Shape types are not preserved across save/load");
Assert.IsTrue(Math.Abs(type.Confidence - shape.Probability) < 0.0001, "Shape confidences are not preserved across save/load");
Assert.IsTrue(Math.Abs(type.Orientation - shape.Orientation) < 0.0001, "Shape orientations are not preserved across save/load");
}
}
public void write()
{
foreach (KeyValuePair <string, List <Shape> > kvp in _sps)
{
int count = 0;
foreach (Shape sp in kvp.Value)
{
Sketch.Sketch sketch = new Sketch.Sketch();
sketch.AddShape(sp);
foreach (Substroke s in sp.SubstrokesL)
{
sketch.AddStroke(s.ParentStroke);
}
ConverterXML.SaveToXML maker = new ConverterXML.SaveToXML(sketch);
maker.WriteXML(String.Format("{0}\\{1}_{2}.xml", _dir, kvp.Key, count));
++count;
}
}
}
public override void run(Sketch.Sketch original, string filename)
{
_numTests++;
foreach (RecognitionPipeline pipeline in _pipelines)
{
Sketch.Sketch sketch = original.Clone();
sketch.RemoveLabelsAndGroups();
pipeline.process(sketch);
string sketchFilename = "sketch-" + _numTests + " pipeline-" + pipelineId(pipeline) + ".xml";
Console.WriteLine("Saving sketch to " + sketchFilename);
ConverterXML.SaveToXML saver = new ConverterXML.SaveToXML(new Sketch.Project(sketch));
saver.WriteXML(sketchFilename);
Utils.SketchComparer comparer = new Utils.SketchComparer(original, sketch);
double cls = comparer.ClassificationQuality * 100;
/* This grouping stat is the
* (# groups found correctly / # correct groups)
* Where # correct groups is the number of groups in
* the correctly recognized sketch.
*/
double grp = comparer.GroupingQuality * 100;
/*This recognition stat is the
* (# groups recognized correctly / # groups found correctly)
*/
double rec = comparer.RecognitionQuality * 100;
/*This is the recognition stat that we really care about,
* because it portrays the recognition rate out of all the
* groups in the sketch
*/
double realRec = comparer.RecognitionQuality * comparer.GroupingQuality * 100;
double srec = comparer.SubstrokeRecognitionQuality * 100;
Console.WriteLine("--------- Results ---------");
Console.WriteLine(" Classification: " + cls + "%");
Console.WriteLine(" Grouping: " + grp + "%");
Console.WriteLine(" Recognition out of correctly grouped groups: " + rec + "%");
Console.WriteLine(" Recognition out of all the groups: " + realRec + "%");
Console.WriteLine(" Substroke Rec.: " + srec + "%");
_tables[pipeline].addResult(new string[] {
filename,
"" + cls,
"" + grp,
"" + rec,
"" + realRec,
"" + srec
});
_classificationConfusion[pipeline].AddResults(comparer.ClassificationConfusion);
_recognitionConfusion[pipeline].AddResults(comparer.RecognitionConfusion);
_cls[pipeline] += cls;
_grp[pipeline] += grp;
_rec[pipeline] += rec;
_realRec[pipeline] += realRec;
_srec[pipeline] += srec;
}
}
