public static extern int ASFDetectFaces(IntPtr pEngine, int width, int height, int format, IntPtr imgData, IntPtr detectedFaces, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
/// <summary>
/// 人脸检测/人脸追踪
/// </summary>
/// <param name="imageFormat">图片格式</param>
/// <param name="image">图片</param>
/// <param name="multiFaceInfo">多人脸对象</param>
/// <param name="detectModel">检测模式</param>
/// <returns>返回0表示正常；返回负数请根据ErrorCodeUtil类注释查看；其他值请在官网-帮助中心查询</returns>
public int ASFDetectFaces(Image image, out MultiFaceInfo multiFaceInfo, ASF_ImagePixelFormat imageFormat = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB)
{
multiFaceInfo = new MultiFaceInfo();
//判断图像是否为空
if (image == null)
{
return(ErrorCodeUtil.IMAGE_IS_NULL);
}
ImageInfo imageInfo = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8.Equals(imageFormat) ? ImageUtil.ReadBMP(image) : ImageUtil.ReadBMP_IR(image);
if (imageInfo == null)
{
return(ErrorCodeUtil.IMAGE_DATA_READ_FAIL);
}
IntPtr pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());
//调用SDK接口
int retCode = ASFFunctions.ASFDetectFaces(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo);
if (retCode != 0)
{
MemoryUtil.FreeArray(imageInfo.imgData, pMultiFaceInfo);
return(retCode);
}
ASF_MultiFaceInfo multiFaceInfoStruct = MemoryUtil.PtrToStructure <ASF_MultiFaceInfo>(pMultiFaceInfo);
MemoryUtil.FreeArray(imageInfo.imgData, pMultiFaceInfo);
//转化非托管内存到托管内存
multiFaceInfo.faceNum = multiFaceInfoStruct.faceNum;
if (multiFaceInfo.faceNum > 0)
{
if (multiFaceInfoStruct.faceID != IntPtr.Zero)
{
multiFaceInfo.faceID = new int[multiFaceInfo.faceNum];
Marshal.Copy(multiFaceInfoStruct.faceID, multiFaceInfo.faceID, 0, multiFaceInfo.faceNum);
}
multiFaceInfo.faceOrients = new int[multiFaceInfo.faceNum];
Marshal.Copy(multiFaceInfoStruct.faceOrients, multiFaceInfo.faceOrients, 0, multiFaceInfo.faceNum);
multiFaceInfo.faceRects = new MRECT[multiFaceInfo.faceNum];
for (int i = 0; i < multiFaceInfo.faceNum; i++)
{
multiFaceInfo.faceRects[i] = MemoryUtil.PtrToStructure <MRECT>(multiFaceInfoStruct.faceRects + MemoryUtil.SizeOf <MRECT>() * i);
}
}
return(retCode);
}
public static extern int ASFDetectFacesEx(IntPtr hEngine, IntPtr imgData, IntPtr detectedFaces, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
public static extern int ASFImageQualityDetectEx(IntPtr hEngine, IntPtr imgData, IntPtr detectedFaces, IntPtr imageQualityInfo, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
public static extern int ASFImageQualityDetect(IntPtr pEngine, int width, int height, int format, IntPtr imgData, IntPtr faceInfo, int isMask, ref float confidenceLevel, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
public static extern int ASFImageQualityDetectEx(IntPtr hEngine, IntPtr imgData, IntPtr faceInfo, int isMask, ref float confidenceLevel, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
///<summary>
///图像质量检测
///推荐阈值0.35
///图像数据以结构体形式传入，对采用更高字节对齐方式的图像兼容性更好
///</summary>
/// <param name="hEngine">引擎handle</param>
/// <param name="imgData">图片数据</param>
/// <param name="detectedFaces">人脸位置信息</param>
/// <param name="imageQualityInfo">图像质量检测结果</param>
/// <param name="detectModel">预留字段，当前版本使用默认参数(ASF_DETECT_MODEL_RGB)即可</param>
/// <returns>调用结果</returns>
public int ASFImageQualityDetectEx(Image image, MultiFaceInfo multiFaceInfo, out ImageQualityInfo imageQualityInfo, ASF_ImagePixelFormat imageFormat = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB)
{
int retCode = -1;
imageQualityInfo = new ImageQualityInfo();
if (multiFaceInfo == null)
{
return(ErrorCodeUtil.MULPTIFACEINFO_IS_NULL);
}
if (image == null)
{
return(ErrorCodeUtil.IMAGE_IS_NULL);
}
ImageInfo imageInfo = new ImageInfo();
imageInfo = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8.Equals(imageFormat) ? ImageUtil.ReadBMP(image) : ImageUtil.ReadBMP_IR(image);
if (imageInfo == null)
{
return(ErrorCodeUtil.IMAGE_DATA_READ_FAIL);
}
ASF_ImageData asfInfoData = CommonUtil.TransImageDataStructByImageInfo(imageInfo);
IntPtr pImageInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_ImageData>());
MemoryUtil.StructureToPtr(asfInfoData, pImageInfo);
ASF_ImageQualityInfo ImageQualityInfoStruct = new ASF_ImageQualityInfo();
IntPtr pImageQualityInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_ImageQualityInfo>());
//转化人脸信息
ASF_MultiFaceInfo multiFaceInfoStruct = new ASF_MultiFaceInfo();
IntPtr pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());
multiFaceInfoStruct.faceNum = multiFaceInfo.faceNum;
if (multiFaceInfo.faceNum > 0)
{
if (multiFaceInfo.faceID != null)
{
multiFaceInfoStruct.faceID = MemoryUtil.Malloc(multiFaceInfo.faceNum * MemoryUtil.SizeOf <int>());
Marshal.Copy(multiFaceInfo.faceID, 0, multiFaceInfoStruct.faceID, multiFaceInfo.faceNum);
}
multiFaceInfoStruct.faceOrients = MemoryUtil.Malloc(multiFaceInfo.faceNum * MemoryUtil.SizeOf <int>());
Marshal.Copy(multiFaceInfo.faceOrients, 0, multiFaceInfoStruct.faceOrients, multiFaceInfo.faceNum);
multiFaceInfoStruct.faceRects = MemoryUtil.Malloc(MemoryUtil.SizeOf <MRECT>() * multiFaceInfo.faceNum);
byte[] allByte = new byte[MemoryUtil.SizeOf <MRECT>() * multiFaceInfo.faceNum];
for (int i = 0; i < multiFaceInfo.faceNum; i++)
{
byte[] tempBytes = MemoryUtil.StructToBytes(multiFaceInfo.faceRects[i]);
tempBytes.CopyTo(allByte, MemoryUtil.SizeOf <MRECT>() * i);
}
Marshal.Copy(allByte, 0, multiFaceInfoStruct.faceRects, allByte.Length);
}
MemoryUtil.StructureToPtr(multiFaceInfoStruct, pMultiFaceInfo);
//调用SDK接口
retCode = ASFFunctions.ASFImageQualityDetectEx(pEngine, pImageInfo, pMultiFaceInfo, pImageQualityInfo);
if (retCode != 0)
{
MemoryUtil.FreeArray(imageInfo.imgData, pMultiFaceInfo, pImageInfo, pImageQualityInfo);
return(retCode);
}
ImageQualityInfoStruct = MemoryUtil.PtrToStructure <ASF_ImageQualityInfo>(pImageQualityInfo);
MemoryUtil.FreeArray(imageInfo.imgData, pMultiFaceInfo, pImageInfo, pImageQualityInfo);
//转化非托管内存到托管内存
imageQualityInfo.num = ImageQualityInfoStruct.num;
if (imageQualityInfo.num > 0)
{
imageQualityInfo.faceQualityValues = new float[imageQualityInfo.num];
Marshal.Copy(ImageQualityInfoStruct.faceQualityValues, imageQualityInfo.faceQualityValues, 0, imageQualityInfo.num);
}
return(retCode);
}
public static extern MResult ASFDetectFacesEx(IntPtr hEngine, ASVLOFFSCREEN imgData, out ASF_MultiFaceInfo detectedFaces, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
public static extern MResult ASFDetectFaces(IntPtr hEngine, int width, int height, int format, IntPtr imgData, out ASF_MultiFaceInfo detectedFaces, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
public static extern MResult ASFImageQualityDetectEx(IntPtr hEngine, ASVLOFFSCREEN imgData, ASF_SingleFaceInfo faceInfo, int isMask, out float confidenceLevel, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
public static extern MResult ASFImageQualityDetect(IntPtr hEngine, int width, int height, int format, IntPtr imgData, ASF_SingleFaceInfo faceInfo, int isMask, out float confidenceLevel, ASF_DetectModel detectModel = ASF_DetectModel.ASF_DETECT_MODEL_RGB);
