private KeyValuePair <Point, double> findAnswerPoint(Problem pro)
{
Bitmap[] bmps =
{
Crop(pro.branchA),
Crop(pro.branchB),
Crop(pro.branchC),
Crop(pro.branchD),
};
Bitmap ans = new Bitmap(pro.Id + "_1");
Dictionary <int, double> similarity = new Dictionary <int, double>();
for (int i = 0; i < bmps.Count(); ++i)
{
double sim = ImageAnalysis.getVerticalSimilarity(bmps[i], ans);
similarity.Add(i, sim);
}
KeyValuePair <int, double> index = similarity.First(item => item.Value == similarity.Values.Min());
double sum = similarity.Sum(item => item.Value);
double confidence = 1 - 3 * index.Value / (sum - index.Value);
if (confidence != 1)
{
for (int i = 0; i < bmps.Count(); ++i)
{
#if DEBUG
//MessageBox.Show(sim.ToString());
#else
ImageAnalysis.getVerticalSimilarity(bmps[i], ans, true);
#endif
}
}
switch (index.Key)
{
case 0:
return(new KeyValuePair <Point, double>(pro.A, confidence));
case 1:
return(new KeyValuePair <Point, double>(pro.B, confidence));
case 2:
return(new KeyValuePair <Point, double>(pro.C, confidence));
case 3:
return(new KeyValuePair <Point, double>(pro.D, confidence));
default:
throw new Exception("Internal Error!");
}
}
private string findProblemId(Problem pro)
{
string[] files = Directory.GetFiles("Download");
Dictionary <string, double> similarity = new Dictionary <string, double>();
foreach (string file in files)
{
if (file.IndexOf('.') == -1 && file.IndexOf('_') >= 0)
{
Bitmap bmp = new Bitmap(file);
string[] str = file.Split('_');
Debug.WriteLine(str[0] + str[1]);
if (str[3] == "0")
{
similarity.Add(string.Join("_", new string[] { str[0], str[1], str[2] }), ImageAnalysis.getVerticalSimilarity(bmp, Crop(pro.stem)));
}
}
}
#if DEBUG
//MessageBox.Show(similarity.First(item => item.Value == similarity.Values.Min()).Key);
#endif
return(similarity.First(item => item.Value == similarity.Values.Min()).Key);
}
