/// <summary>
/// 获取图片信息
/// </summary>
/// <param name="image"></param>
/// <returns></returns>
public static ASVLOFFSCREEN ReadBmp(Image image)
{
ASVLOFFSCREEN offInput = new ASVLOFFSCREEN();
//将Image转换为Format24bppRgb格式的BMP
Bitmap bm = new Bitmap(image);
//将Bitmap锁定到系统内存中,获得BitmapData
BitmapData data = bm.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
//位图中第一个像素数据的地址。它也可以看成是位图中的第一个扫描行
IntPtr ptr = data.Scan0;
//定义数组长度
int soureBitArrayLength = data.Height * Math.Abs(data.Stride);
byte[] sourceBitArray = new byte[soureBitArrayLength];
//将bitmap中的内容拷贝到ptr_bgr数组中
MemoryUtil.Copy(ptr, sourceBitArray, 0, soureBitArrayLength);
int width = data.Width;
int height = data.Height;
int pitch = Math.Abs(data.Stride);
//获取去除对齐位后度图像数据
int line = width * 3;
int bgr_len = line * height;
byte[] destBitArray = new byte[bgr_len];
/*
* 图片像素数据在内存中是按行存储，一般图像库都会有一个内存对齐，在每行像素的末尾位置
* 每行的对齐位会使每行多出一个像素空间（三通道如RGB会多出3个字节，四通道RGBA会多出4个字节）
* 以下循环目的是去除每行末尾的对齐位，将有效的像素拷贝到新的数组
*/
for (int i = 0; i < height; ++i)
{
Array.Copy(sourceBitArray, i * pitch, destBitArray, i * line, line);
}
pitch = line;
bm.UnlockBits(data);
IntPtr imageDataPtr = MemoryUtil.Malloc(destBitArray.Length);
MemoryUtil.Copy(destBitArray, 0, imageDataPtr, destBitArray.Length);
offInput.u32PixelArrayFormat = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8;
offInput.ppu8Plane = new IntPtr[4];
offInput.ppu8Plane[0] = imageDataPtr;
offInput.i32Width = width;
offInput.i32Height = height;
offInput.pi32Pitch = new int[4];
offInput.pi32Pitch[0] = pitch;
return(offInput);
}
/// <summary>
/// 证件照特征提取
/// </summary>
/// <param name="hFICEngine">FIC 引擎Handle</param>
/// <param name="isVideo">人脸数据类型 1-视频 0-静态图片</param>
/// <param name="bitmap">人脸图像原始数据</param>
/// <returns>人脸特征提取结果</returns>
public static int IdCardDataFeatureExtraction(IntPtr hFICEngine, Image image)
{
lock (locks)
{
if (image.Width % 4 != 0)
{
image = ImageUtil.ScaleImage(image, image.Width - (image.Width % 4), image.Height);
}
//Bitmap bitmap = new Bitmap(image);
ASVLOFFSCREEN offInput = ImageUtil.ReadBmp(image);
IntPtr offInputPtr = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASVLOFFSCREEN>());
MemoryUtil.StructureToPtr(offInput, offInputPtr);
IntPtr faceResPtr = MemoryUtil.Malloc(MemoryUtil.SizeOf <AFIC_FSDK_FACERES>());
int result = ASIDCardFunctions.ArcSoft_FIC_IdCardDataFeatureExtraction(hFICEngine, offInputPtr);
MemoryUtil.Free(offInput.ppu8Plane[0]);
MemoryUtil.Free(offInputPtr);
MemoryUtil.Free(faceResPtr);
return(result);
}
}
/// <summary>
/// 人脸特征提取
/// </summary>
/// <param name="hFICEngine">FIC 引擎Handle</param>
/// <param name="isVideo">人脸数据类型 1-视频 0-静态图片</param>
/// <param name="bitmap">人脸图像原始数据</param>
/// <returns>人脸检测结果</returns>
public static int FaceDataFeatureExtraction(IntPtr hFICEngine, bool isVideo, Bitmap bitmap, ref AFIC_FSDK_FACERES faceRes)
{
lock (locks)
{
int result = -1;
if (bitmap != null)
{
ASVLOFFSCREEN offInput = ImageUtil.ReadBmp(bitmap);
IntPtr offInputPtr = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASVLOFFSCREEN>());
MemoryUtil.StructureToPtr(offInput, offInputPtr);
IntPtr faceResPtr = MemoryUtil.Malloc(MemoryUtil.SizeOf <AFIC_FSDK_FACERES>());
result = ASIDCardFunctions.ArcSoft_FIC_FaceDataFeatureExtraction(hFICEngine, isVideo, offInputPtr, faceResPtr);
faceRes = MemoryUtil.PtrToStructure <AFIC_FSDK_FACERES>(faceResPtr);
MemoryUtil.Free(offInput.ppu8Plane[0]);
MemoryUtil.Free(offInputPtr);
MemoryUtil.Free(faceResPtr);
}
return(result);
}
}