/// <summary>
/// 人脸3D角度检测
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="imageInfo">图像数据</param>
/// <param name="multiFaceInfo">人脸检测结果</param>
/// <returns>保存人脸3D角度检测结果结构体</returns>
public static ASF_Face3DAngle DetectFace3DAngle(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out int retCode)
{
IntPtr pMultiFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_MultiFaceInfo>());
UtilToolMemory.StructureToPtr(multiFaceInfo, pMultiFaceInfo);
if (multiFaceInfo.faceNum == 0)
{
retCode = -1;
return(new ASF_Face3DAngle());
}
//人脸信息处理
retCode = ASFFunctions.ASFProcess(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_FACE3DANGLE);
if (retCode == 0)
{
//获取人脸3D角度
IntPtr pFace3DAngleInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_Face3DAngle>());
retCode = ASFFunctions.ASFGetFace3DAngle(pEngine, pFace3DAngleInfo);
Console.WriteLine("Get Face3D Angle Result:" + retCode);
ASF_Face3DAngle face3DAngle = UtilToolMemory.PtrToStructure <ASF_Face3DAngle>(pFace3DAngleInfo);
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
UtilToolMemory.Free(pFace3DAngleInfo);
return(face3DAngle);
}
else
{
return(new ASF_Face3DAngle());
}
}
/// <summary>
/// 性别检测
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="imageInfo">图像数据</param>
/// <param name="multiFaceInfo">人脸检测结果</param>
/// <returns>保存性别检测结果结构体</returns>
public static ASF_GenderInfo DetectGender(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out int retCode)
{
retCode = -1;
IntPtr pMultiFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_MultiFaceInfo>());
UtilToolMemory.StructureToPtr(multiFaceInfo, pMultiFaceInfo);
if (multiFaceInfo.faceNum == 0)
{
return(new ASF_GenderInfo());
}
//人脸信息处理
retCode = ASFFunctions.ASFProcess(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_GENDER);
if (retCode == 0)
{
//获取性别信息
IntPtr pGenderInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_GenderInfo>());
retCode = ASFFunctions.ASFGetGender(pEngine, pGenderInfo);
Console.WriteLine("Get Gender Result:" + retCode);
ASF_GenderInfo genderInfo = UtilToolMemory.PtrToStructure <ASF_GenderInfo>(pGenderInfo);
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
UtilToolMemory.Free(pGenderInfo);
return(genderInfo);
}
else
{
return(new ASF_GenderInfo());
}
}
/// <summary>
/// 年龄检测
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="imageInfo">图像数据</param>
/// <param name="multiFaceInfo">人脸检测结果</param>
/// <returns>年龄检测结构体</returns>
public static ASF_AgeInfo DetectAge(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo)
{
IntPtr pMultiFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_MultiFaceInfo>());
UtilToolMemory.StructureToPtr(multiFaceInfo, pMultiFaceInfo);
if (multiFaceInfo.faceNum == 0)
{
return(new ASF_AgeInfo());
}
//人脸信息处理
int retCode = ASFFunctions.ASFProcess(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_AGE);
//获取年龄信息
IntPtr pAgeInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_AgeInfo>());
retCode = ASFFunctions.ASFGetAge(pEngine, pAgeInfo);
Console.WriteLine("Get Age Result:" + retCode);
ASF_AgeInfo ageInfo = UtilToolMemory.PtrToStructure <ASF_AgeInfo>(pAgeInfo);
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
UtilToolMemory.Free(pAgeInfo);
return(ageInfo);
}
/// <summary>
/// 提取人脸特征
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="imageInfo">图像数据</param>
/// <param name="multiFaceInfo">人脸检测结果</param>
/// <returns>保存人脸特征结构体指针</returns>
public static IntPtr ExtractFaceFeature(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out ASF_SingleFaceInfo singleFaceInfo)
{
singleFaceInfo = new ASF_SingleFaceInfo();
if (multiFaceInfo.faceRects == null)
{
ASF_FaceFeature emptyFeature = new ASF_FaceFeature();
IntPtr pEmptyFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(emptyFeature, pEmptyFeature);
return(pEmptyFeature);
}
singleFaceInfo.faceRect = UtilToolMemory.PtrToStructure <MRECT>(multiFaceInfo.faceRects);
singleFaceInfo.faceOrient = UtilToolMemory.PtrToStructure <int>(multiFaceInfo.faceOrients);
IntPtr pSingleFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_SingleFaceInfo>());
UtilToolMemory.StructureToPtr(singleFaceInfo, pSingleFaceInfo);
IntPtr pFaceFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
int retCode = ASFFunctions.ASFFaceFeatureExtract(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pSingleFaceInfo, pFaceFeature);
Console.WriteLine("FR Extract Feature result:" + retCode);
if (retCode != 0)
{
//释放指针
UtilToolMemory.Free(pSingleFaceInfo);
UtilToolMemory.Free(pFaceFeature);
ASF_FaceFeature emptyFeature = new ASF_FaceFeature();
IntPtr pEmptyFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(emptyFeature, pEmptyFeature);
return(pEmptyFeature);
}
//人脸特征feature过滤
ASF_FaceFeature faceFeature = UtilToolMemory.PtrToStructure <ASF_FaceFeature>(pFaceFeature);
byte[] feature = new byte[faceFeature.featureSize];
UtilToolMemory.Copy(faceFeature.feature, feature, 0, faceFeature.featureSize);
ASF_FaceFeature localFeature = new ASF_FaceFeature();
localFeature.feature = UtilToolMemory.Malloc(feature.Length);
UtilToolMemory.Copy(feature, 0, localFeature.feature, feature.Length);
localFeature.featureSize = feature.Length;
IntPtr pLocalFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(localFeature, pLocalFeature);
//释放指针
UtilToolMemory.Free(pSingleFaceInfo);
UtilToolMemory.Free(pFaceFeature);
return(pLocalFeature);
}
/// <summary>
/// 人脸检测(PS:检测RGB图像的人脸时，必须保证图像的宽度能被4整除，否则会失败)
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="imageInfo">图像数据</param>
/// <returns>人脸检测结果</returns>
public static ASF_MultiFaceInfo DetectFace(IntPtr pEngine, ImageInfo imageInfo)
{
ASF_MultiFaceInfo multiFaceInfo = new ASF_MultiFaceInfo();
IntPtr pMultiFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_MultiFaceInfo>());
int retCode = ASFFunctions.ASFDetectFaces(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo);
if (retCode != 0)
{
UtilToolMemory.Free(pMultiFaceInfo);
return(multiFaceInfo);
}
multiFaceInfo = UtilToolMemory.PtrToStructure <ASF_MultiFaceInfo>(pMultiFaceInfo);
UtilToolMemory.Free(pMultiFaceInfo);
return(multiFaceInfo);
}
/// <summary>
/// 红外活体检测
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="imageInfo">图像数据</param>
/// <param name="multiFaceInfo">活体检测结果</param>
/// <returns>保存活体检测结果结构体</returns>
public static ASF_LivenessInfo LivenessInfo_IR(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out int retCode)
{
IntPtr pMultiFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_MultiFaceInfo>());
UtilToolMemory.StructureToPtr(multiFaceInfo, pMultiFaceInfo);
if (multiFaceInfo.faceNum == 0)
{
retCode = -1;
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
return(new ASF_LivenessInfo());
}
try
{
//人脸信息处理
retCode = ASFFunctions.ASFProcess_IR(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_IR_LIVENESS);
if (retCode == 0)
{
//获取活体检测结果
IntPtr pLivenessInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_LivenessInfo>());
retCode = ASFFunctions.ASFGetLivenessScore_IR(pEngine, pLivenessInfo);
Console.WriteLine("Get Liveness Result:" + retCode);
ASF_LivenessInfo livenessInfo = UtilToolMemory.PtrToStructure <ASF_LivenessInfo>(pLivenessInfo);
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
UtilToolMemory.Free(pLivenessInfo);
return(livenessInfo);
}
else
{
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
return(new ASF_LivenessInfo());
}
}
catch
{
retCode = -1;
//释放内存
UtilToolMemory.Free(pMultiFaceInfo);
return(new ASF_LivenessInfo());
}
}
/// <summary>
/// 单人脸性别检测
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="image">图片</param>
/// <param name="singleFaceInfo">单人脸信息</param>
/// <returns>性别估计结果</returns>
public static ASF_GenderInfo DetectGender(IntPtr pEngine, Image image, ASF_SingleFaceInfo singleFaceInfo)
{
ImageInfo imageInfo = UtilTool.ReadImage(image);
if (imageInfo == null)
{
return(new ASF_GenderInfo());
}
ASF_MultiFaceInfo multiFaceInfo = new ASF_MultiFaceInfo();
multiFaceInfo.faceRects = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <MRECT>());
UtilToolMemory.StructureToPtr <MRECT>(singleFaceInfo.faceRect, multiFaceInfo.faceRects);
multiFaceInfo.faceOrients = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <int>());
UtilToolMemory.StructureToPtr <int>(singleFaceInfo.faceOrient, multiFaceInfo.faceOrients);
multiFaceInfo.faceNum = 1;
ASF_GenderInfo genderInfo = DetectGender(pEngine, imageInfo, multiFaceInfo);
UtilToolMemory.Free(imageInfo.imgData);
return(genderInfo);
}
/// <summary>
/// 获取图片信息
/// </summary>
/// <param name="image">图片</param>
/// <returns>成功或失败</returns>
public static ImageInfo ReadImage(Image image)
{
ImageInfo imageInfo = new ImageInfo();
Image <Bgr, byte> my_Image = null;
Bitmap bitmap = null;
try
{
bitmap = new Bitmap(image);
if (bitmap == null)
{
return(null);
}
my_Image = new Image <Bgr, byte>(bitmap);
imageInfo.format = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8;
imageInfo.width = my_Image.Width;
imageInfo.height = my_Image.Height;
imageInfo.imgData = UtilToolMemory.Malloc(my_Image.Bytes.Length);
UtilToolMemory.Copy(my_Image.Bytes, 0, imageInfo.imgData, my_Image.Bytes.Length);
return(imageInfo);
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
finally
{
if (my_Image != null)
{
my_Image.Dispose();
}
if (bitmap != null)
{
bitmap.Dispose();
}
}
return(null);
}
/// <summary>
/// 获取图片IR信息
/// </summary>
/// <param name="image">图片</param>
/// <returns>成功或失败</returns>
public static ImageInfo ReadBMP_IR(Bitmap bitmap)
{
ImageInfo imageInfo = new ImageInfo();
Image <Bgr, byte> my_Image = null;
Image <Gray, byte> gray_image = null;
try
{
//图像灰度转化
my_Image = new Image <Bgr, byte>(bitmap);
gray_image = my_Image.Convert <Gray, byte>(); //灰度化函数
imageInfo.format = ASF_ImagePixelFormat.ASVL_PAF_GRAY;
imageInfo.width = gray_image.Width;
imageInfo.height = gray_image.Height;
imageInfo.imgData = UtilToolMemory.Malloc(gray_image.Bytes.Length);
UtilToolMemory.Copy(gray_image.Bytes, 0, imageInfo.imgData, gray_image.Bytes.Length);
return(imageInfo);
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
finally
{
if (my_Image != null)
{
my_Image.Dispose();
}
if (gray_image != null)
{
gray_image.Dispose();
}
}
return(null);
}
/// <summary>
/// 提取人脸特征
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="image">图像</param>
/// <returns>保存人脸特征结构体指针</returns>
public static IntPtr ExtractFaceFeature(IntPtr pEngine, Image image, out ASF_SingleFaceInfo singleFaceInfo)
{
if (image.Width > 1536 || image.Height > 1536)
{
image = UtilTool.ScaleImage(image, 1536, 1536);
}
else
{
image = UtilTool.ScaleImage(image, image.Width, image.Height);
}
if (image == null)
{
singleFaceInfo = new ASF_SingleFaceInfo();
ASF_FaceFeature emptyFeature = new ASF_FaceFeature();
IntPtr pEmptyFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(emptyFeature, pEmptyFeature);
return(pEmptyFeature);
}
ImageInfo imageInfo = UtilTool.ReadImage(image);
if (imageInfo == null)
{
singleFaceInfo = new ASF_SingleFaceInfo();
ASF_FaceFeature emptyFeature = new ASF_FaceFeature();
IntPtr pEmptyFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(emptyFeature, pEmptyFeature);
return(pEmptyFeature);
}
ASF_MultiFaceInfo multiFaceInfo = DetectFace(pEngine, imageInfo);
singleFaceInfo = new ASF_SingleFaceInfo();
IntPtr pFaceModel = ExtractFaceFeature(pEngine, imageInfo, multiFaceInfo, out singleFaceInfo);
UtilToolMemory.Free(imageInfo.imgData);
return(pFaceModel);
}
/// <summary>
/// 提取单人脸特征
/// </summary>
/// <param name="pEngine">人脸识别引擎</param>
/// <param name="image">图片</param>
/// <param name="singleFaceInfo">单人脸信息</param>
/// <returns>单人脸特征</returns>
public static IntPtr ExtractFaceFeature(IntPtr pEngine, Image image, ASF_SingleFaceInfo singleFaceInfo)
{
ImageInfo imageInfo = UtilTool.ReadImage(image);
if (imageInfo == null)
{
ASF_FaceFeature emptyFeature = new ASF_FaceFeature();
IntPtr pEmptyFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(emptyFeature, pEmptyFeature);
return(pEmptyFeature);
}
IntPtr pSingleFaceInfo = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_SingleFaceInfo>());
UtilToolMemory.StructureToPtr(singleFaceInfo, pSingleFaceInfo);
IntPtr pFaceFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
int retCode = -1;
try
{
retCode = ASFFunctions.ASFFaceFeatureExtract(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pSingleFaceInfo, pFaceFeature);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
Console.WriteLine("FR Extract Feature result:" + retCode);
if (retCode != 0)
{
//释放指针
UtilToolMemory.Free(pSingleFaceInfo);
UtilToolMemory.Free(pFaceFeature);
UtilToolMemory.Free(imageInfo.imgData);
ASF_FaceFeature emptyFeature = new ASF_FaceFeature();
IntPtr pEmptyFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(emptyFeature, pEmptyFeature);
return(pEmptyFeature);
}
//人脸特征feature过滤
ASF_FaceFeature faceFeature = UtilToolMemory.PtrToStructure <ASF_FaceFeature>(pFaceFeature);
byte[] feature = new byte[faceFeature.featureSize];
UtilToolMemory.Copy(faceFeature.feature, feature, 0, faceFeature.featureSize);
ASF_FaceFeature localFeature = new ASF_FaceFeature();
localFeature.feature = UtilToolMemory.Malloc(feature.Length);
UtilToolMemory.Copy(feature, 0, localFeature.feature, feature.Length);
localFeature.featureSize = feature.Length;
IntPtr pLocalFeature = UtilToolMemory.Malloc(UtilToolMemory.SizeOf <ASF_FaceFeature>());
UtilToolMemory.StructureToPtr(localFeature, pLocalFeature);
//释放指针
UtilToolMemory.Free(pSingleFaceInfo);
UtilToolMemory.Free(pFaceFeature);
UtilToolMemory.Free(imageInfo.imgData);
return(pLocalFeature);
}