/// <summary>
/// Default initializer for MonoBehavior sub-classes
/// </summary>
protected override void Awake()
{
base.Awake();
base.forceFrontalCamera = true; // we work with frontal cams here, let's force it for macOS s MacBook doesn't state frontal cam correctly
byte[] shapeDat = shapes.bytes;
// if (shapeDat.Length == 0)
// {
// string errorMessage =
// "In order to have Face Landmarks working you must download special pre-trained shape predictor " +
// "available for free via DLib library website and replace a placeholder file located at " +
// "\"OpenCV+Unity/Assets/Resources/shape_predictor_68_face_landmarks.bytes\"\n\n" +
// "Without shape predictor demo will only detect face rects.";
//#if UNITY_EDITOR
// // query user to download the proper shape predictor
// if (UnityEditor.EditorUtility.DisplayDialog("Shape predictor data missing", errorMessage, "Download", "OK, process with face rects only"))
// Application.OpenURL("http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2");
//#else
// UnityEngine.Debug.Log(errorMessage);
//#endif
// }
processor = new FaceProcessorLive <WebCamTexture>();
processor.Initialize(faces.text, eyes.text, shapes.bytes);
// data stabilizer - affects face rects, face landmarks etc.
processor.DataStabilizer.Enabled = true; // enable stabilizer
processor.DataStabilizer.Threshold = 2.0; // threshold value in pixels
processor.DataStabilizer.SamplesCount = 2; // how many samples do we need to compute stable data
// performance data - some tricks to make it work faster
processor.Performance.Downscale = 256; // processed image is pre-scaled down to N px by long side
processor.Performance.SkipRate = 0; // we actually process only each Nth frame (and every frame for skipRate = 0)
}
/// <summary>
/// Default initializer for MonoBehavior sub-classes
/// </summary>
protected override void Awake()
{
base.Awake();
base.forceFrontalCamera = true; // we work with frontal cams here, let's force it for macOS s MacBook doesn't state frontal cam correctly
byte[] shapeDat = shapes.bytes;
processor = new FaceProcessorLive <WebCamTexture>();
processor.Initialize(faces.text, eyes.text, shapes.bytes);
// data stabilizer - affects face rects, face landmarks etc.
processor.DataStabilizer.Enabled = true; // enable stabilizer
processor.DataStabilizer.Threshold = 2.0; // threshold value in pixels
processor.DataStabilizer.SamplesCount = 2; // how many samples do we need to compute stable data
// performance data - some tricks to make it work faster
processor.Performance.Downscale = 256; // processed image is pre-scaled down to N px by long side
processor.Performance.SkipRate = 0; // we actually process only each Nth frame (and every frame for skipRate = 0)
}
protected override void Awake()
{
base.Awake();
forceFrontalCamera = true;
string shapesFilePath = Application.dataPath + "/Data/" + shapesFileName;
byte[] shapesBytes = File.ReadAllBytes(shapesFilePath);
processor = new FaceProcessorLive <WebCamTexture>();
processor.Initialize(faces.text, eyes.text, shapesBytes);
// data stabilizer - affects face rects, face landmarks etc.
processor.DataStabilizer.Enabled = true; // enable stabilizer
processor.DataStabilizer.Threshold = 2.0; // threshold value in pixels
processor.DataStabilizer.SamplesCount = 2; // how many samples do we need to compute stable data
// performance data - some tricks to make it work faster
processor.Performance.Downscale = 256; // processed image is pre-scaled down to N px by long side
processor.Performance.SkipRate = 0; // we actually process only each Nth frame (and every frame for skipRate = 0)
}
/// <summary>
/// Marks detected objects on the texture
/// </summary>
private Texture2D DrawCustomFaces(OpenCvSharp.Demo.FaceProcessorLive <WebCamTexture> processer, bool drawSubItems = true)
{
Mat Image = OpenCvSharp.Unity.TextureToMat(testRenderedTexture, TextureParameters);
// mark each found eye
foreach (OpenCvSharp.Demo.DetectedFace face in processer.Faces)
{
// face rect
Cv2.Rectangle((InputOutputArray)Image, face.Region, Scalar.FromRgb(255, 0, 0), 2);
// convex hull
//Cv2.Polylines(Image, new IEnumerable<Point>[] { face.Info.ConvexHull }, true, Scalar.FromRgb(255, 0, 0), 2);
// render face triangulation (should we have one)
if (face.Info != null)
{
foreach (OpenCvSharp.Demo.DetectedFace.Triangle tr in face.Info.DelaunayTriangles)
{
Cv2.Polylines(Image, new IEnumerable <Point>[] { tr.ToArray() }, true, Scalar.FromRgb(0, 0, 255), 1);
}
}
// Sub-items
if (drawSubItems)
{
List <string> closedItems = new List <string>(new string[] { "Nose", "Eye", "Lip" });
foreach (OpenCvSharp.Demo.DetectedObject sub in face.Elements)
{
if (sub.Marks != null)
{
Cv2.Polylines(Image, new IEnumerable <Point>[] { sub.Marks }, closedItems.Contains(sub.Name), Scalar.FromRgb(0, 255, 0), 1);
}
}
}
}
return(OpenCvSharp.Unity.MatToTexture(Image));
}
