static void getTestBenchamrkRes(CaffeModel model, string iscorrect)
{
string fatherDir = @"C:\Data\Alignment_TestBenchmark_Equalized\" + iscorrect;
int count = 0;
DirectoryInfo fatherInfo = new DirectoryInfo(fatherDir);
DirectoryInfo[] childrenInfos = fatherInfo.GetDirectories();
foreach (var childrenInfo in childrenInfos)
{
FileInfo[] files = childrenInfo.GetFiles("*.jpg", SearchOption.AllDirectories);
if (files.Length != 2)
{
continue;
}
else
{
Bitmap[] bits1 = new[] { new Bitmap(files[0].FullName) };
Bitmap[] bits2 = new[] { new Bitmap(files[1].FullName) };
float[] a = model.ExtractBitmapOutputs(bits1, "ip1", 0);
float[] b = model.ExtractBitmapOutputs(bits2, "ip1", 0);
float confidency = CaffeModel.CosineDistanceProb(a, b);
Write(@"C:\Users\BALTHASAR\Documents\MATLAB\FaceTest\" + iscorrect + ".txt", confidency.ToString());
}
count++;
Console.WriteLine(count);
}
}
static SortedList <int, float> lfw_fe(string model, string net, string pair, string imgDir)
{
SortedList <int, float> results = new SortedList <int, float>();
var fe = new CaffeModel(net, model);
StreamReader sr = new StreamReader(pair, Encoding.Default);
string line;
int label = 1;
while ((line = sr.ReadLine()) != null)
{
string[] sArray = line.Split('\t');
if (sArray.Length == 3)
{
DirectoryInfo child = new DirectoryInfo(imgDir + sArray[0]);
FileInfo[] file = child.GetFiles("*.jpg", SearchOption.AllDirectories);
float[] a = fe.ExtractFileOutputs(new[] { file[Convert.ToInt32(sArray[1]) - 1].FullName }, "eltmax_fc5", 0);
float[] b = fe.ExtractFileOutputs(new[] { file[Convert.ToInt32(sArray[2]) - 1].FullName }, "eltmax_fc5", 0);
float confidency = CaffeModel.CosineDistanceProb(a, b);
results.Add(label, confidency);
}
if (sArray.Length == 4)
{
DirectoryInfo child = new DirectoryInfo(imgDir + sArray[0]);
FileInfo[] file = child.GetFiles("*.jpg", SearchOption.AllDirectories);
float[] a = fe.ExtractFileOutputs(new[] { file[Convert.ToInt32(sArray[1]) - 1].FullName }, "eltmax_fc5", 0);
//
child = new DirectoryInfo(imgDir + sArray[2]);
file = child.GetFiles("*.jpg", SearchOption.AllDirectories);
float[] b = fe.ExtractFileOutputs(new[] { file[Convert.ToInt32(sArray[3]) - 1].FullName }, "eltmax_fc5", 0);
float confidency = CaffeModel.CosineDistanceProb(a, b);
results.Add(-1 * label, confidency);
}
Console.WriteLine(label);
label++;
}
return(results);
}