/// <summary>
/// 识别 <paramref name="bitmap"/> 中指定的人脸信息 <paramref name="info"/> 的关键点坐标。
/// <para>
/// 当 <see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Normal"/> 时， 需要模型：<see langword="face_landmarker_pts68.csta"/><br/>
/// 当 <see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Mask"/> 时， 需要模型：<see langword="face_landmarker_mask_pts5.csta"/><br/>
/// 当 <see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Light"/> 时， 需要模型：<see langword="face_landmarker_pts5.csta"/><br/>
/// </para>
/// </summary>
/// <param name="bitmap">包含人脸的图片</param>
/// <param name="info">指定的人脸信息</param>
/// <returns></returns>
public FaceMarkPoint[] FaceMark(Bitmap bitmap, FaceInfo info)
{
byte[] bgr = ImageSet.Get24BGRFromBitmap(bitmap, out int width, out int height, out int channels);
int size;
if (Platform64)
{
size = ViewFacePlus64.FaceMarkSize((int)MarkType);
}
else
{
size = ViewFacePlus32.FaceMarkSize((int)MarkType);
}
double[] _pointX = new double[size];
double[] _pointY = new double[size];
bool val;
if (Platform64)
{
val = ViewFacePlus64.FaceMark(bgr, width, height, channels, info.Location.X, info.Location.Y, info.Location.Width, info.Location.Height, _pointX, _pointY, (int)MarkType);
}
else
{
val = ViewFacePlus32.FaceMark(bgr, width, height, channels, info.Location.X, info.Location.Y, info.Location.Width, info.Location.Height, _pointX, _pointY, (int)MarkType);
}
if (val)
{
List <FaceMarkPoint> points = new List <FaceMarkPoint>();
for (int i = 0; i < size; i++)
{
points.Add(new FaceMarkPoint()
{
X = _pointX[i], Y = _pointY[i]
});
}
return(points.ToArray());
}
else
{
throw new Exception("人脸关键点获取失败");
}
}
// public method
/// <summary>
/// 识别 <paramref name="bitmap"/> 中的人脸，并返回人脸的信息。
/// <para>
/// 当 <c><see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Normal"/> <see langword="||"/> <see cref="FaceType.Light"/></c> 时， 需要模型：<see langword="face_detector.csta"/><br/>
/// 当 <c><see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Mask"/></c> 时， 需要模型：<see langword="mask_detector.csta"/><br/>
/// </para>
/// </summary>
/// <param name="bitmap">包含人脸的图片</param>
/// <returns></returns>
public FaceInfo[] FaceDetector(Bitmap bitmap)
{
byte[] bgr = ImageSet.Get24BGRFromBitmap(bitmap, out int width, out int height, out int channels);
int size;
if (Platform64)
{
size = ViewFacePlus64.DetectorSize(bgr, width, height, channels, DetectorSetting.FaceSize, DetectorSetting.Threshold, DetectorSetting.MaxWidth, DetectorSetting.MaxHeight, (int)FaceType);
}
else
{
size = ViewFacePlus32.DetectorSize(bgr, width, height, channels, DetectorSetting.FaceSize, DetectorSetting.Threshold, DetectorSetting.MaxWidth, DetectorSetting.MaxHeight, (int)FaceType);
}
float[] _socre = new float[size];
int[] _x = new int[size];
int[] _y = new int[size];
int[] _width = new int[size];
int[] _height = new int[size];
if (Platform64)
{
_ = ViewFacePlus64.Detector(_socre, _x, _y, _width, _height);
}
else
{
_ = ViewFacePlus32.Detector(_socre, _x, _y, _width, _height);
}
List <FaceInfo> infos = new List <FaceInfo>();
for (int i = 0; i < size; i++)
{
infos.Add(new FaceInfo()
{
Score = _socre[i], Location = new FaceRect()
{
X = _x[i], Y = _y[i], Width = _width[i], Height = _height[i]
}
});
}
return(infos.ToArray());
}
/// <summary>
/// 提取人脸特征值。
/// <para>
/// 当 <see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Normal"/> 时， 需要模型：<see langword="face_recognizer.csta"/><br/>
/// 当 <see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Mask"/> 时， 需要模型：<see langword="face_recognizer_mask.csta"/><br/>
/// 当 <see cref="FaceType"/> <see langword="="/> <see cref="FaceType.Light"/> 时， 需要模型：<see langword="face_recognizer_light.csta"/><br/>
/// </para>
/// </summary>
/// <param name="bitmap"></param>
/// <param name="points"></param>
/// <returns></returns>
public float[] Extract(Bitmap bitmap, FaceMarkPoint[] points)
{
byte[] bgr = ImageSet.Get24BGRFromBitmap(bitmap, out int width, out int height, out int channels);
float[] features;
if (Platform64)
{
features = new float[ViewFacePlus64.ExtractSize((int)FaceType)];
}
else
{
features = new float[ViewFacePlus32.ExtractSize((int)FaceType)];
}
if (Platform64)
{
ViewFacePlus64.Extract(bgr, width, height, channels, points, features, (int)FaceType);
}
else
{
ViewFacePlus32.Extract(bgr, width, height, channels, points, features, (int)FaceType);
}
return(features);
}