/// <summary>
/// Processor initializer
/// <param name="facesCascadeData">String with cascade XML for face detection, must be defined</param>
/// <param name="eyesCascadeData">String with cascade XML for eyes detection, can be null</param>
/// <param name="shapeData">Binary data with trained shape predictor for 68-point face landmarks recognition, can be empty or null</param>
/// </summary>
public virtual void Initialize(string facesCascadeData, string eyesCascadeData,
byte[] shapeData = null)
{
// face detector - the key thing here
if (null == facesCascadeData || facesCascadeData.Length == 0)
{
throw new Exception(
"FaceProcessor.Initialize: No face detector cascade passed, with parameter is required");
}
FileStorage storageFaces =
new FileStorage(facesCascadeData, FileStorage.Mode.Read | FileStorage.Mode.Memory);
cascadeFaces = new CascadeClassifier();
if (!cascadeFaces.Read(storageFaces.GetFirstTopLevelNode()))
{
throw new Exception("FaceProcessor.Initialize: Failed to load faces cascade classifier");
}
// eyes detector
if (null != eyesCascadeData)
{
FileStorage storageEyes =
new FileStorage(eyesCascadeData, FileStorage.Mode.Read | FileStorage.Mode.Memory);
cascadeEyes = new CascadeClassifier();
if (!cascadeEyes.Read(storageEyes.GetFirstTopLevelNode()))
{
throw new Exception("FaceProcessor.Initialize: Failed to load eyes cascade classifier");
}
}
// shape detector
if (null != shapeData && shapeData.Length > 0)
{
shapeFaces = new ShapePredictor();
shapeFaces.LoadData(shapeData);
}
}
