private void DrawCapturedImage(Affdex.Frame image)
{
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
try
{
cameraDisplay.Source = ConstructImage(image.getBGRByteArray(), image.getWidth(), image.getHeight());
if (++DrawSkipCount > 4)
{
canvas.Faces = new Dictionary <int, Affdex.Face>();
canvas.InvalidateVisual();
DrawSkipCount = 0;
}
if (image != null)
{
image.Dispose();
}
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}));
}
public void onImageResults(Dictionary <int, Affdex.Face> faces, Affdex.Frame frame)
{
process_fps = 1.0f / (frame.getTimestamp() - process_last_timestamp);
process_last_timestamp = frame.getTimestamp();
System.Console.WriteLine(" pfps: {0}", process_fps.ToString());
byte[] pixels = frame.getBGRByteArray();
this.img = new Bitmap(frame.getWidth(), frame.getHeight(), PixelFormat.Format24bppRgb);
var bounds = new Rectangle(0, 0, frame.getWidth(), frame.getHeight());
BitmapData bmpData = img.LockBits(bounds, ImageLockMode.WriteOnly, img.PixelFormat);
IntPtr ptr = bmpData.Scan0;
int data_x = 0;
int ptr_x = 0;
int row_bytes = frame.getWidth() * 3;
// The bitmap requires bitmap data to be byte aligned.
// http://stackoverflow.com/questions/20743134/converting-opencv-image-to-gdi-bitmap-doesnt-work-depends-on-image-size
for (int y = 0; y < frame.getHeight(); y++)
{
Marshal.Copy(pixels, data_x, ptr + ptr_x, row_bytes);
data_x += row_bytes;
ptr_x += bmpData.Stride;
}
img.UnlockBits(bmpData);
this.faces = faces;
//rwLock.ReleaseWriterLock();
this.Invalidate();
frame.Dispose();
}
private void OnMultiSourceFrameArrived(object sender, Perception.Kinect.MultiSourceFrameArrivedEventArgs e)
{
if (e.ColorFrame != null)
{
//UnityEngine.Debug.LogError("frame received!");
sw.Stop();
totalTime += sw.Elapsed.TotalSeconds;
DataStore.SetValue("Time:per:frame", new DataStore.StringValue((++i / totalTime).ToString()), this, sw.Elapsed.ToString());
sw.Restart();
//var closestBodyFrame = new ClosestBodyFrame(e.BodyFrame, engageMin, engageMax);
//var headColorFrame = new HeadColorFrame(e.ColorFrame, closestBodyFrame);
//var colorFrame = new Perception.Frames.ColorFrame(e.ColorFrame);
Bitmap b = cropAtRect(ColorImageFrameToBitmap(e.ColorFrame), rectangle);
byte[] data = BitmaptoArray(b);
var colorArray = new Color32[data.Length / 4];
for (var i = 0; i < data.Length; i += 4)
{
var color = new Color32(data[i + 0], data[i + 1], data[i + 2], data[i + 3]);
colorArray[i / 4] = color;
}
//Color32[] data = colorFrame.GetBytes();
frame = new Affdex.Frame(colorArray, b.Width, b.Height, e.Timestamp);
if (detector.IsRunning)
{
detector.ProcessFrame(frame);
}
}
//else { UnityEngine.Debug.LogError("frame null!"); }
}
private void DrawData(Affdex.Frame image, Dictionary <int, Affdex.Face> faces)
{
try
{
if (faces != null)
{
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
if ((Detector != null) && (Detector.isRunning()))
{
canvas.Faces = faces;
canvas.Width = cameraDisplay.ActualWidth;
canvas.Height = cameraDisplay.ActualHeight;
canvas.XScale = canvas.Width / image.getWidth();
canvas.YScale = canvas.Height / image.getHeight();
canvas.InvalidateVisual();
DrawSkipCount = 0;
}
}));
}
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
public void onImageCapture(Affdex.Frame frame)
{
#region 使用一下代码测试帧捕获的图片是否可以正常生成图片，如果不能则是输入给帧的像素的数组有问题
var len = frame.getBGRByteArrayLength();
byte[] imageData = frame.getBGRByteArray();//这里捕获的数据 不同于生成该frame时的buff 并且是3通道的数据
int width = frame.getWidth();
int height = frame.getHeight();
var ColorFormat = frame.getColorFormat();
if (imageData != null && imageData.Length > 0)
{
var _stride = (width * System.Windows.Media.PixelFormats.Rgb24.BitsPerPixel + 7) / 8;
var imageSrc = System.Windows.Media.Imaging.BitmapSource.Create(width, height, 96d, 96d, System.Windows.Media.PixelFormats.Bgr24,
null, imageData, _stride);
System.Windows.Media.Imaging.BitmapEncoder encoder = new System.Windows.Media.Imaging.PngBitmapEncoder();
encoder.Frames.Add(System.Windows.Media.Imaging.BitmapFrame.Create(imageSrc));
using (var stream =
new System.IO.FileStream(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory,
"我是分析前图片.png"), System.IO.FileMode.Create))
{
encoder.Save(stream);
}
}
#endregion
}
public void onImageResults(Dictionary <int, Face> faces, Affdex.Frame frame)
{
Face face = null;
if (faces != null && faces.Values != null && faces.Values.Count() > 0)
{
face = faces.Values.First();//因为我们的Detector只识别了一个脸，所以这里最多只有一个数据
}
int top = (int)face.FeaturePoints.Min(r => r.X);
int left = (int)face.FeaturePoints.Min(r => r.Y);
int bottom = (int)face.FeaturePoints.Max(r => r.X);
int right = (int)face.FeaturePoints.Max(r => r.Y);
ImageHelper.cutPicture(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, "timg.jpg"),
left, top, right, bottom - top);
}
/// <summary>
/// Handles the Image capture from source produced by Affdex.Detector
/// </summary>
/// <param name="image">The <see cref="Affdex.Frame"/> instance containing the image captured from camera.</param>
public void onImageCapture(Affdex.Frame frame)
{
byte[] imageData = frame.getBGRByteArray();
int width = frame.getWidth();
int height = frame.getHeight();
try
{
if (imageData != null && imageData.Length > 0)
{
var stride = (width * PixelFormats.Bgr24.BitsPerPixel + 7) / 8;
var imageSrc = BitmapSource.Create(width, height, 96d, 96d, PixelFormats.Bgr24, null, imageData, stride);
SaveImageToFile(imageSrc, System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, frame.getTimestamp().ToString() + ".png"));
}
}
catch (Exception ex)
{
}
}
public PhotoWindow()
{
InitializeComponent();
uint maxNumFaces = 1;//最多识别图片中几张脸
Detector = new Affdex.PhotoDetector(maxNumFaces, Affdex.FaceDetectorMode.SMALL_FACES);
Detector.setImageListener(this);
Detector.start();
byte[] bytes = FileHelper.FileToBytes(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, "timg.jpg"));
BitmapSource bitmapSource = ImageHelper.BytesToBitmapImage(bytes);
var w = bitmapSource.Width;
var h = bitmapSource.Height;
var stride = bitmapSource.Format.BitsPerPixel * (int)w / 8; //计算Stride
byte[] byteList = new byte[(int)h * stride];
bitmapSource.CopyPixels(byteList, stride, 0);
Affdex.Frame frame = new Affdex.Frame((int)w, (int)h, byteList, Affdex.Frame.COLOR_FORMAT.BGRA);
Detector.process(frame);
}
/// <summary>
/// Draws the image captured from the camera.
/// </summary>
/// <param name="image">The image captured.</param>
private void DrawCapturedImage(Affdex.Frame image)
{
// Update the Image control from the UI thread
try
{
// Update the Image control from the UI thread
//cameraDisplay.Source = rtb;
pictureBox1.Image = BitmapFromSource(ConstructImage(image.getBGRByteArray(), image.getWidth(), image.getHeight()));
// Allow N successive OnCapture callbacks before the FacePoint drawing canvas gets cleared.
if (image != null)
{
image.Dispose();
}
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
// ShowExceptionAndShutDown(message);
}
}
public PhotoWindowAdvance()
{
InitializeComponent();
uint maxNumFaces = 1;//最多识别图片中几张脸
Detector = new Affdex.PhotoDetector(maxNumFaces, Affdex.FaceDetectorMode.SMALL_FACES);
//Set location of the classifier data files, needed by the SDK
Detector.setClassifierPath("C:\\Program Files\\Affectiva\\AffdexSDK\\data");
//String newPath = System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, "data"); //可以使用其它路径，但需要把Data复制过去
//Detector.setClassifierPath(newPath);
//跟踪一些 我们预先设置的的分类器，比如开心，讨厌等等
Detector.setDetectAllEmotions(false);
Detector.setDetectAllExpressions(false);
Detector.setDetectAllEmojis(true);
Detector.setDetectGender(true);
Detector.setDetectGlasses(true);
//以下为分类器
Detector.setDetectJoy(true);
Detector.setDetectSadness(true);
Detector.setDetectAnger(true);
Detector.setDetectDisgust(true);
Detector.setDetectSurprise(true);
Detector.setDetectFear(true);
Detector.setImageListener(this);//设置两个监听
Detector.setProcessStatusListener(this);
Detector.start();
//Bitmap bmpt = (Bitmap)System.Drawing.Image.FromFile(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, "timg.jpg"));
//bmpt.Save(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, "timg_1.png"));
//==================================================================================================================================
byte[] bytes = FileHelper.FileToBytes(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory, "timg.jpg"));
BitmapSource bitmapSource = ImageHelper.BytesToBitmapImage(bytes);
//var imageSrc = bitmapSource;
//System.Windows.Media.Imaging.BitmapEncoder encoder = new System.Windows.Media.Imaging.PngBitmapEncoder();
//encoder.Frames.Add(System.Windows.Media.Imaging.BitmapFrame.Create(imageSrc));
//using (var stream = new System.IO.FileStream(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory,
// "timg_new.png"), System.IO.FileMode.Create))
//{
// encoder.Save(stream); 导出 bitmapsource已经存储成功 证明图片是正常导入进了bitmapsource
//}
//==================================================================================================================================
var w = bitmapSource.Width;
var h = bitmapSource.Height;
var stride = bitmapSource.Format.BitsPerPixel * (int)w / 8; //计算Stride
byte[] byteList = new byte[(int)h * stride];
bitmapSource.CopyPixels(byteList, stride, 0); //调用CopyPixels
Affdex.Frame frame = new Affdex.Frame((int)w, (int)h, byteList, Affdex.Frame.COLOR_FORMAT.BGRA);
//==================================================================================================================================
//var len = frame.getBGRByteArrayLength();
//byte[] imageData = frame.getBGRByteArray();
//Console.WriteLine($"onImageCapture帧的buf len{imageData.Length} len{len}");
//int width = frame.getWidth();
//int height = frame.getHeight();
//var ColorFormat = frame.getColorFormat();
//if (imageData != null && imageData.Length > 0)
//{
// var _stride = (width * System.Windows.Media.PixelFormats.Rgb24.BitsPerPixel + 7) / 8;//_stride 1791
// Console.WriteLine($"_stride{_stride}");
// var imageSrc = System.Windows.Media.Imaging.BitmapSource.Create(width, height, 96d, 96d, System.Windows.Media.PixelFormats.Bgr24,
// null, imageData, _stride);
// System.Windows.Media.Imaging.BitmapEncoder encoder = new System.Windows.Media.Imaging.PngBitmapEncoder();
// encoder.Frames.Add(System.Windows.Media.Imaging.BitmapFrame.Create(imageSrc));
// using (var stream =
// new System.IO.FileStream(System.IO.Path.Combine(System.AppDomain.CurrentDomain.BaseDirectory,
// "我是分析前.png"), System.IO.FileMode.Create))
// {
// encoder.Save(stream);
// }
//}
//==================================================================================================================================
Detector.process(frame);
}
public void onImageCapture(Affdex.Frame frame)
{
frame.Dispose();
}
/// <summary>
/// Handles the Image results event produced by Affdex.Detector
/// </summary>
/// <param name="faces">The detected faces.</param>
/// <param name="image">The <see cref="Affdex.Frame"/> instance containing the image analyzed.</param>
public void onImageResults(Dictionary <int, Face> faces, Affdex.Frame frame)
{
if (faces.Count > 0)
{
foreach (Face face in faces.Values)
{
if (face.Expressions.InnerBrowRaise > 0)
{
Console.WriteLine("内侧眉毛提起" + face.Expressions.InnerBrowRaise); //内侧眉毛提起
}
if (face.Expressions.BrowRaise > 0)
{
Console.WriteLine("外侧眉毛提起" + face.Expressions.BrowRaise); //外侧眉毛提起
}
if (face.Expressions.BrowFurrow > 0)
{
Console.WriteLine("眉毛降下" + face.Expressions.BrowFurrow); //眉毛降下
}
if (face.Expressions.EyeWiden > 0)
{
Console.WriteLine("上眼睑提起" + face.Expressions.EyeWiden); //上眼睑提起
}
if (face.Expressions.CheekRaise > 0)
{
Console.WriteLine("面颊提起" + face.Expressions.CheekRaise); //面颊提起
}
if (face.Expressions.LidTighten > 0)
{
Console.WriteLine("眼睑收紧" + face.Expressions.LidTighten); //眼睑收紧
}
if (face.Expressions.NoseWrinkle > 0)
{
Console.WriteLine("鼻子起皱" + face.Expressions.NoseWrinkle); //鼻子起皱
}
if (face.Expressions.UpperLipRaise > 0)
{
Console.WriteLine("上嘴唇提起" + face.Expressions.UpperLipRaise); //上嘴唇提起
}
if (face.Expressions.Dimpler > 0)
{
Console.WriteLine("挤出酒窝" + face.Expressions.Dimpler); //挤出酒窝
}
if (face.Expressions.LipCornerDepressor > 0)
{
Console.WriteLine("嘴角下撇" + face.Expressions.LipCornerDepressor); //嘴角下撇
}
if (face.Expressions.ChinRaise > 0)
{
Console.WriteLine("下巴提起" + face.Expressions.ChinRaise); //下巴提起
}
if (face.Expressions.LipPucker > 0)
{
Console.WriteLine("嘴唇皱起" + face.Expressions.LipPucker); //嘴唇皱起
}
if (face.Expressions.LipStretch > 0)
{
Console.WriteLine("嘴唇拉伸" + face.Expressions.LipStretch); //嘴唇拉伸
}
if (face.Expressions.LipPress > 0)
{
Console.WriteLine("紧压嘴唇" + face.Expressions.LipPress); //紧压嘴唇
}
if (face.Expressions.JawDrop > 0)
{
Console.WriteLine("下巴落下" + face.Expressions.JawDrop); //下巴落下
}
if (face.Expressions.MouthOpen > 0)
{
Console.WriteLine("嘴唇张大延伸" + face.Expressions.MouthOpen); //嘴唇张大延伸
}
if (face.Expressions.LipSuck > 0)
{
Console.WriteLine("抿嘴" + face.Expressions.LipSuck); //抿嘴
}
if (face.Expressions.EyeClosure > 0)
{
Console.WriteLine("眼睛闭合" + face.Expressions.EyeClosure); //眼睛闭合
}
//Emotions
if (face.Emotions.Joy > 0)
{
Console.WriteLine("喜悦" + face.Emotions.Joy); // - 喜悦
}
if (face.Emotions.Sadness > 0)
{
Console.WriteLine("伤心" + face.Emotions.Sadness); // - 伤心
}
if (face.Emotions.Anger > 0)
{
Console.WriteLine("愤怒" + face.Emotions.Anger); // - 愤怒
}
if (face.Emotions.Surprise > 0)
{
Console.WriteLine("惊讶" + face.Emotions.Surprise); // - 惊讶
}
if (face.Emotions.Fear > 0)
{
Console.WriteLine("恐惧" + face.Emotions.Fear); // - 恐惧
}
if (face.Emotions.Disgust > 0)
{
Console.WriteLine("厌恶" + face.Emotions.Disgust); // - 厌恶
}
if (face.Emotions.Contempt > 0)
{
Console.WriteLine("轻蔑" + face.Emotions.Contempt); // - 轻蔑
}
if (face.Emotions.Valence > 0)
{
Console.WriteLine("效价" + face.Emotions.Valence); // - 效价
}
if (face.Emotions.Engagement > 0)
{
Console.WriteLine("参与度" + face.Emotions.Engagement); // - 参与度
}
}
Console.WriteLine($"faces.Count= { faces.Count }");
}
}
/// <summary>
/// Single frame processing
/// </summary>
/// <param name="frame">Frame to process</param>
public void ProcessFrame(Frame frame)
{
if (!IsRunning) {
return;
}
int bytesPerPixel = 3;
byte[] bytes = new byte[frame.rgba.Length * bytesPerPixel];
// int stride = frame.w * bytesPerPixel;
for (int y = 0; y < frame.h; y++) {
for (int x = 0; x < frame.w; x++) {
int frameByteIndex = (y * (frame.w)) + x;
int idx = ((frame.h - y - 1) * (frame.w * bytesPerPixel)) + (x * bytesPerPixel);
bytes [idx] = frame.rgba [frameByteIndex].b;
bytes [idx + 1] = frame.rgba [frameByteIndex].g;
bytes [idx + 2] = frame.rgba [frameByteIndex].r;
}
}
//Debug only saving of the image to a tmp file!
//SampleImage(bytes, frame.w, frame.h);
nativePlatform.ProcessFrame (bytes, frame.w, frame.h, frame.timestamp);
}
private void ProcessFrame()
{
#if UNITY_EDITOR_WIN || UNITY_STANDALONE_WIN || UNITY_EDITOR_OSX || UNITY_STANDALONE_OSX
if (this.movie != null)
{
//A render texture is required to copy the pixels from the movie clip
RenderTexture rt = RenderTexture.GetTemporary(movie.width, movie.height, 0, RenderTextureFormat.ARGB32, RenderTextureReadWrite.Default, 1);
RenderTexture.active = rt;
//Copy the movie texture to the render texture
Graphics.Blit(movie, rt);
//Read the render texture to our temporary texture
t2d.ReadPixels(new Rect(0, 0, rt.width, rt.height), 0, 0);
//apply the bytes
t2d.Apply();
//Send to the detector
Frame frame = new Frame(t2d.GetPixels32(), t2d.width, t2d.height, Time.realtimeSinceStartup);
detector.ProcessFrame(frame);
RenderTexture.ReleaseTemporary(rt);
}
#endif
}
public void onImageResults(Dictionary <int, Affdex.Face> faces, Affdex.Frame frame)
{
//if (ready)
{
System.Console.WriteLine("faces count");
System.Console.WriteLine(faces.Count);
//inputfile = detector.getName();
foreach (KeyValuePair <int, Affdex.Face> pair in faces)
{
Affdex.Face face = pair.Value;
//adding values to the arraylist
f.Add(face.Emotions.Fear);
a.Add(face.Emotions.Anger);
h.Add(face.Emotions.Joy);
d.Add(face.Emotions.Disgust);
sa.Add(face.Emotions.Sadness);
su.Add(face.Emotions.Surprise);
float[] emo = new float[6];
emo[0] = face.Emotions.Fear;
emo[1] = face.Emotions.Anger;
emo[2] = face.Emotions.Surprise;
emo[3] = face.Emotions.Joy;
emo[4] = face.Emotions.Sadness;
emo[5] = face.Emotions.Disgust;
progressBar1.Value = (int)face.Emotions.Anger;
progressBar2.Value = (int)face.Emotions.Fear;
progressBar4.Value = (int)face.Emotions.Surprise;
progressBar5.Value = (int)face.Emotions.Joy;
progressBar6.Value = (int)face.Emotions.Sadness;
progressBar7.Value = (int)face.Emotions.Disgust;
float engagement = face.Emotions.Engagement;
float dominantEmotion = emo.Max();
int index = emo.ToList().IndexOf(dominantEmotion);
if ((index == 0) && (emo[index] > 10))
{
filepath = @"C:\Users\Rana\Desktop\data\Fear\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\fear.png");
label3.Text = "Afraid";
}
else
{
if ((index == 1) && (emo[index] > 10))
{
filepath = @"C:\Users\Rana\Desktop\data\Anger\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\angry.png");
label3.Text = "Angry";
}
else
{
if ((index == 2) && (emo[index] > 10))
{
System.Console.WriteLine(inputfile.Substring(28, 4));
filepath = @"C:\Users\Rana\Desktop\data\Surprise\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\surprise.png");
label3.Text = "Surprised";
}
else
{
if ((index == 3) && (emo[index] > 10))
{
filepath = @"C:\Users\Rana\Desktop\data\Joy\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\happy.png");
label3.Text = "Happy";
}
else
{
if ((index == 4) && (emo[index] > 10))
{
filepath = @"C:\Users\Rana\Desktop\data\Sadness\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\sad.png");
label3.Text = "Sad";
}
else
{
if ((index == 5) && (emo[index] > 10))
{
filepath = @"C:\Users\Rana\Desktop\data\Disgust\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\disgust.png");
label3.Text = "Disgusted";
}
else
{
System.Console.WriteLine(inputfile);
filepath = @"C:\Users\Rana\Desktop\data\Neutral\" + inputfile.Substring(28, 8) + ".mp3";
pictureBox2.Image = Image.FromFile("C:\\Users\\Rana\\Documents\\Visual Studio 2015\\Projects\\proj4 - Copy\\proj2\\neutral.png");
label3.Text = "Neutral";
}
}
}
}
}
}
if (faces != null)
{
foreach (PropertyInfo prop in typeof(Affdex.Emotions).GetProperties())
{
float value = (float)prop.GetValue(face.Emotions, null);
string output = string.Format("{0}:{1:N2}", prop.Name, value);
System.Console.WriteLine(output);
}
}
}
frame.Dispose();
}
}
public void onImageCapture(Affdex.Frame frame)
{
DrawCapturedImage(frame);
frame.Dispose();
}
/// <summary>
/// Sample an individual frame from the webcam and send to detector for processing.
/// </summary>
public void ProcessFrame()
{
#if UNITY_EDITOR_WIN || UNITY_STANDALONE_WIN || UNITY_EDITOR_OSX || UNITY_STANDALONE_OSX
if (webcamTexture != null)
{
if (detector.IsRunning)
{
if(webcamTexture.isPlaying)
{
Frame frame = new Frame(webcamTexture.GetPixels32(), webcamTexture.width, webcamTexture.height, Time.realtimeSinceStartup);
detector.ProcessFrame(frame);
}
}
}
#endif
}
public void onImageCapture(Affdex.Frame image)
{
DrawCapturedImage(image);
}
public void onImageResults(Dictionary <int, Affdex.Face> faces, Affdex.Frame image)
{
DrawData(image, faces);
}
