private LocateResult Detect(ImageData offInput, IntPtr pImageData, out ErrorCode ret)
{
var retCode =
TrackingWrapper.AFT_FSDK_FaceFeatureDetect(Engine, ref offInput, out var pDetectResult);
ret = (ErrorCode)retCode;
if (ret == ErrorCode.Ok)
{
var nativeResult = pDetectResult.ToStruct <AFT_FSDK_FACERES>();
var resolveResult = new LocateResult
{
FaceCount = nativeResult.nFace,
FacesOrient = Enumerable.Repeat((OrientCode)nativeResult.lfaceOrient, nativeResult.nFace)
.ToArray()
};
resolveResult.Faces = nativeResult.rcFace.ToStructArray <FaceRect>(resolveResult.FaceCount);
resolveResult.OffInput = offInput;
resolveResult.ImageDataPtr = pImageData;
return(resolveResult);
}
return(default(LocateResult));
}
/// <summary>
/// 释放所有资源
/// </summary>
public override void Dispose()
{
var retCode = (ErrorCode)TrackingWrapper.AFT_FSDK_UninitialFaceEngine(Engine);
if (retCode != ErrorCode.Ok)
{
throw new FaceException(retCode);
}
}
/// <summary>
/// 获得识别引擎版本信息
/// </summary>
/// <returns>版本信息</returns>
public override SdkVersion GetVersion()
{
var retPtr = TrackingWrapper.AFT_FSDK_GetVersion(Engine);
var ret = Marshal.PtrToStructure <AFDT_FSDK_Version>(retPtr); //这里无法调用DestroyStructure
var result = new SdkVersion
{
Codebase = ret.codebase,
Major = ret.major,
Minor = ret.minor,
Build = ret.build,
Version = ret.version,
BuildDate = ret.buildDate,
Copyright = ret.copyright
};
return(result);
}
private LocateResult Detect(ImageData offInput, IntPtr pImageData, out ErrorCode ret, LocateOperation operation = LocateOperation.None)
{
System.IntPtr pDetectResult;
var retCode =
TrackingWrapper.AFT_FSDK_FaceFeatureDetect(Engine, ref offInput, out pDetectResult);
ret = (ErrorCode)retCode;
if (ret == ErrorCode.Ok)
{
var nativeResult = pDetectResult.ToStruct <AFT_FSDK_FACERES>();
var resolveResult = new LocateResult
{
FaceCount = nativeResult.nFace,
FacesOrient = Enumerable.Repeat((OrientCode)nativeResult.lfaceOrient, nativeResult.nFace)
.ToArray()
};
resolveResult.Faces = nativeResult.rcFace.ToStructArray <FaceRect>(resolveResult.FaceCount);
resolveResult.OffInput = offInput;
resolveResult.ImageDataPtr = pImageData;
if (operation.HasFlag(LocateOperation.IncludeAge))
{
//检测年龄
if (ageEstimate == null)
{
throw new InvalidOperationException("请采用年龄识别模块初始化检测器");
}
resolveResult = ageEstimate.StaticEstimation(resolveResult, false);
}
if (operation.HasFlag(LocateOperation.IncludeGender))
{
//性别
if (genderEstimate == null)
{
throw new InvalidOperationException("请采用性别识别模块初始化检测器");
}
resolveResult = genderEstimate.StaticEstimation(resolveResult, false);
}
return(resolveResult);
}
return(default(LocateResult));
}
/// <summary>
/// 初始化引擎
/// </summary>
/// <param name="orientPriority">期望的脸部检测角度范围</param>
/// <param name="scale">
/// 用于数值表示的最小人脸尺寸有效值范围[2,16] 推荐值 16。该尺寸是人脸相对于所在图片的长边的占比。例如，如果用户想检测到的最小人脸尺寸是图片长度的 1/8，那么这个 nScale 就应该设置为
/// 8
/// </param>
/// <param name="maxFaceNumber">用户期望引擎最多能检测出的人脸数有效值范围[1,20]</param>
/// <returns>成功返回 MOK，否则返回失败 code</returns>
public override ErrorCode Initialize(OrientPriority orientPriority = OrientPriority.OrientHigherExt,
int scale = 16, int maxFaceNumber = 10)
{
if (scale < 2 || scale > 16)
{
throw new ArgumentOutOfRangeException(nameof(scale), "有效的取值范围为2到16");
}
if (maxFaceNumber < 1 || maxFaceNumber > 20)
{
throw new ArgumentOutOfRangeException(nameof(maxFaceNumber), "有效的取值范围为1到20");
}
IsIntialized = true;
return((ErrorCode)TrackingWrapper.AFT_FSDK_InitialFaceEngine(AppId, SdkKey, Buffer, PreAllocMemSize,
out Engine, (int)orientPriority, scale, maxFaceNumber));
}