public FeedbackProcessor(string qry, Dictionary<string, int> results, string outputLocation, int ft, int shp)
{
data = results;
try
{
index = File.ReadAllLines(outputLocation);
} catch(Exception e){
System.Windows.Forms.MessageBox.Show("Couldn't find output file"+e);
}
numFeatures = ft;
numShapes = shp;
featureThreshold = new double[numFeatures];
avgFeature = new double[numFeatures];
featureRelIndex = new int[numFeatures];
featureNotRelIndex = new int[numFeatures];
shapeThreshold = new double[numShapes];
avgShape = new double[numShapes];
shapeRelIndex = new int[numShapes];
shapeNotRelIndex = new int[numShapes];
relShapeCount = 0;
notRelShapeCount = 0;
query = new ImageObj(numShapes, numFeatures, qry);
relImages = new Dictionary<string,ImageObj>();
notRelImages = new Dictionary<string,ImageObj>();
untouchedImages = new Dictionary<string, ImageObj>();
buildFeedbackDictionaries();
}
private void buildFeedbackDictionaries()
{
for (int i = 0; i < index.Length; i++)
{
string[] sarr = index[i].Split(',');
// Set up query obj
if (sarr[0] == query.name)
{
query.addShape(index[i]);
}
// Create relevant and irrelevant and untouched
// dictionaries
if (data.Keys.Contains(sarr[0]))
{
var toStore = untouchedImages;
if (data[sarr[0]] < 0)
{
toStore = notRelImages;
} else if(data[sarr[0]] > 0){
toStore = relImages;
}
if (!toStore.ContainsKey(sarr[0]))
{
ImageObj o = new ImageObj(numShapes, numFeatures, sarr[0]);
toStore.Add(sarr[0], o);
}
toStore[sarr[0]].addShape(index[i]);
}
}
}