public void ReaddataByFrame(string path, int n)
{
if (path == null)
{
return;
}
int i = 1;
StreamReader sr = new StreamReader(path, Encoding.Default);
string line;
while (((line = sr.ReadLine()) != null))
{
if (i == n)
{
break;
}
i++;
}
string[] strArray = line.Split('\t');
SavaData(strArray);
FeatureEuclidean firstfacedata = new FeatureEuclidean(_firstfacedata);
FeatureEuclidean nowfacedata = new FeatureEuclidean(_nowfacedata);
CatureFeature(nowfacedata, n);
CatureFeature(firstfacedata, nowfacedata);
Recongnize rec = new Recongnize();//识别类
rec.DeltaEulidean(firstfacedata, nowfacedata);
_result = rec.GetResult;
}
private void CatureFeature(FeatureEuclidean frameFeature, int n)//计算距离特征方法重载,第n帧
{
float[] f1 = frameFeature.Feature;
if (n == 1 && _delta[0, 1] == 0)
{
for (int i = 1; i < 26; i++)
{
_delta[0, i] = f1[i];
}
}
else if (n == _framesum && _delta[3, 1] == 0)
{
for (int i = 1; i < 26; i++)
{
_delta[3, i] = f1[i];
}
}
else
{
for (int i = 1; i < 26; i++)
{
_delta[1, i] = f1[i];
}
}
}
//private List<PointRecorder> _facedata = new List<PointRecorder>();
#region 构造方法
public Readdata(string path)
{
if (path == null)
{
return;
}
StreamReader sr = new StreamReader(path, Encoding.Default);
string line;
while ((line = sr.ReadLine()) != null)
{
_framesum++;
string[] strArray = line.Split('\t');
SavaData(strArray);
}
ReaddataAllFrame(path, _framesum);
FeatureEuclidean firstfacedata = new FeatureEuclidean(_firstfacedata);
FeatureEuclidean nowfacedata = new FeatureEuclidean(_nowfacedata);
CatureFeature(firstfacedata, 1);
CatureFeature(nowfacedata, _framesum);
}
private void CatureFeature(FeatureEuclidean firstFeature, FeatureEuclidean nowFeature)//差值
{
float[] f1 = firstFeature.Feature;
float[] f2 = nowFeature.Feature;
for (int i = 1; i < 26; i++)
{
_delta[2, i] = f2[i] - f1[i];
}
}
private void ReaddataAllFrame(string path, int n)
{
_resultList.Clear();
if (path == null)
{
return;
}
int i = 1, tag = 0;
StreamReader sr = new StreamReader(path, Encoding.Default);
string line;
while (((line = sr.ReadLine()) != null))
{
if (i == n)
{
break;
}
string[] strArray = line.Split('\t');
SavaData(strArray);
FeatureEuclidean firstfacedata = new FeatureEuclidean(_firstfacedata);
FeatureEuclidean nowfacedata = new FeatureEuclidean(_nowfacedata);
CatureFeature(nowfacedata, n);
CatureFeature(firstfacedata, nowfacedata);
Recongnize rec = new Recongnize();//识别类
rec.DeltaEulidean(firstfacedata, nowfacedata);
if (rec.GetResult != "Normal")
{
// tag = 1;
//if(tag==1)
_resultList.Add(rec.GetResult);
}
i++;
}
_result = ReturnAnsRate(_resultList);
int di = 0;
}
public void DeltaEulidean(FeatureEuclidean f1, FeatureEuclidean f2)
{
_result = EmotionLabel.Normal.ToString();
Dictionary <EmotionLabel, bool> emotion = new Dictionary <EmotionLabel, bool>();
emotion.Add(EmotionLabel.Anger, false);
emotion.Add(EmotionLabel.Happiness, false);
emotion.Add(EmotionLabel.Sadness, false);
emotion.Add(EmotionLabel.Surprise, false);
emotion.Add(EmotionLabel.Disgust, false);
emotion.Add(EmotionLabel.Fear, false);
//Suprise
if (Math.Abs(f1.Feature[20] - f2.Feature[20]) > 18) //Suprise
{
emotion[EmotionLabel.Surprise] = true;
_result = EmotionLabel.Surprise.ToString();
}
//Happyness
int[] a = { 15, 16, 22, 23 }; //Happyness
int tag = 0;
for (int i = 0; i < 4; i++)
{
if ((Math.Abs(f1.Feature[a[i]] - f2.Feature[a[i]]) > 10))
{
tag++;
}
}
if (_result != "Surprise" && tag >= 4)
{
_result = EmotionLabel.Happiness.ToString();
emotion[EmotionLabel.Happiness] = true;
}
//sadness
if ((Math.Abs(f1.Feature[3] - f2.Feature[3]) > 2)) //sadness
{
if ((Math.Abs(f1.Feature[22] - f2.Feature[22]) > 8))
{
if ((Math.Abs(f1.Feature[23] - f2.Feature[23]) > 8))
{
_result = EmotionLabel.Sadness.ToString();
emotion[EmotionLabel.Sadness] = true;
}
}
}
//angry
if ((Math.Abs(f1.Feature[19] - f2.Feature[19]) > 8)) //angry
// if ((Math.Abs(f1.Feature[21] - f2.Feature[21]) > 5))
{
if ((Math.Abs(f1.Feature[15] - f2.Feature[15]) > 10))
{
if ((Math.Abs(f1.Feature[16] - f2.Feature[16]) > 10))
{
if ((Math.Abs(f1.Feature[3] - f2.Feature[3]) > 4))
{
_result = EmotionLabel.Anger.ToString();
emotion[EmotionLabel.Anger] = true;
}
}
}
}
float tag_11_12 = f1.Feature[11] - f2.Feature[11] + f1.Feature[12] - f2.Feature[12];
//fear
if ((Math.Abs(f1.Feature[2] - f2.Feature[2]) > 4)) //fear
{
if ((Math.Abs(f1.Feature[22] - f2.Feature[22]) > 8))
{
if ((Math.Abs(f1.Feature[23] - f2.Feature[23]) > 8))
{
if ((Math.Abs(f1.Feature[20] - f2.Feature[20]) > 10))
{
if (tag_11_12 < -4)
{
_result = EmotionLabel.Fear.ToString();
emotion[EmotionLabel.Fear] = true;
}
}
}
}
}
//disgust
if ((Math.Abs(f1.Feature[14] - f2.Feature[14]) > 8)) //disgust
{
if ((Math.Abs(f1.Feature[13] - f2.Feature[13]) > 8))
{
if ((Math.Abs(f1.Feature[20] - f2.Feature[20]) > 10))
{
if (tag_11_12 > 2)
{
_result = EmotionLabel.Disgust.ToString();
emotion[EmotionLabel.Disgust] = true;
}
}
}
}
emotion.Clear();
}
