public void TestMethod1()
{
// SDK对应的 APP_ID SDK_KEY
string APP_ID = @"7NK7KSpfgxdqb74r8nvy36kDwH3wVGstr2LHGHBxQ8LY";
string SDK_KEY = @"3fD8vKYMNfPzKHMoqppjA9chGh2aGkWzUQNFiAj7Yq63";
// 加载图片
Bitmap heying = new Bitmap(@"heying.jpg");
Bitmap face1 = new Bitmap(@"ldh0.jpg");
Bitmap face2 = new Bitmap(@"ldh1.jpg");
Bitmap face3 = new Bitmap(@"zxy0.jpg");
// 创建 ArcFaceCore 对象，向构造函数传入相关参数进行 ArcFace 引擎的初始化
ArcFaceCore arcFace = new ArcFaceCore(APP_ID, SDK_KEY, ArcFaceDetectMode.IMAGE,
ArcFaceFunction.FACE_DETECT | ArcFaceFunction.FACE_RECOGNITION | ArcFaceFunction.AGE | ArcFaceFunction.FACE_3DANGLE | ArcFaceFunction.GENDER, DetectionOrientPriority.ASF_OP_0_ONLY, 50, 32);
// 将 Bitmap 转换成 ImageData
ImageData heyingImgData = ImageDataConverter.ConvertToImageData(heying);
// 人脸检测
// 也可直接传入 Bitmap 来调用相关接口 会自动转换成 ImageData，但这里推荐用 ImageData
MultiFaceModel multiFaceB = arcFace.FaceDetection(heying);
// 传入 ImageData ，推荐使用这个接口
MultiFaceModel multiFace = arcFace.FaceDetection(heyingImgData);
// 人脸信息检测（年龄/性别/人脸3D角度）最多支持4张人脸信息检测，超过部分返回未知 这是官方文档的说明
arcFace.FaceProcess(heyingImgData, multiFace);
// 获取年龄信息
List <int> ageList = arcFace.GetAge();
// 获取性别信息
List <int> genderList = arcFace.GetGender();
// 获取人脸角度信息
List <Face3DAngleModel> face3DAngleList = arcFace.GetFace3DAngle();
// 将第一张图片的 Bitmap 转换成 ImageData
ImageData faceData1 = ImageDataConverter.ConvertToImageData(face1);
// 检测第一张图片中的人脸
MultiFaceModel multiFace1 = arcFace.FaceDetection(faceData1);
// 取第一张图片中返回的第一个人脸信息
AsfSingleFaceInfo faceInfo1 = multiFace1.FaceInfoList.First();
// 提第一张图片中返回的第一个人脸的特征
AsfFaceFeature faceFeature1 = arcFace.FaceFeatureExtract(faceData1, ref faceInfo1);
ImageData faceData2 = ImageDataConverter.ConvertToImageData(face2);
// 检测第二张图片中的人脸
MultiFaceModel multiFace2 = arcFace.FaceDetection(faceData2);
// 取第二张图片中返回的第一个人脸信息
AsfSingleFaceInfo faceInfo2 = multiFace2.FaceInfoList.First();
// 提第二张图片中返回的第一个人脸的特征
AsfFaceFeature faceFeature2 = arcFace.FaceFeatureExtract(faceData2, ref faceInfo2);
// face1 face2 人脸对比，将会返回一个 0-1 之间的浮点数值
float result = arcFace.FaceCompare(faceFeature1, faceFeature2);
ImageData faceData3 = ImageDataConverter.ConvertToImageData(face3);
// 检测第二张图片中的人脸
MultiFaceModel multiFace3 = arcFace.FaceDetection(faceData3);
// 取第二张图片中返回的第一个人脸信息
AsfSingleFaceInfo faceInfo3 = multiFace3.FaceInfoList.First();
// 提第二张图片中返回的第一个人脸的特征
AsfFaceFeature faceFeature3 = arcFace.FaceFeatureExtract(faceData3, ref faceInfo3);
// face1 face3 人脸对比，将会返回一个 0-1 之间的浮点数值
float result2 = arcFace.FaceCompare(faceFeature1, faceFeature3);
// 释放销毁引擎
arcFace.Dispose();
// ImageData使用完之后记得要 Dispose 否则会导致内存溢出
faceData1.Dispose();
faceData2.Dispose();
// BItmap也要记得 Dispose
face1.Dispose();
face2.Dispose();
}
/// <summary>
/// https://github.com/Thxzzzzz/ArcFaceSharp
/// </summary>
/// <param name="videoPath"></param>
/// <param name="videoTitle"></param>
static void RunOnArcFace(string videoPath, string videoTitle)
{
// 视频地址
VideoCapture capture = new VideoCapture();//@"D:\ca1af880d3653be69ed6d9ce55058c21.mp4"
capture.Open(videoPath);
Window win = new Window(videoTitle);
ArcFaceCore arcFaceCore = new ArcFaceCore(APP_ID, SDK_KEY, ArcFaceDetectMode.VIDEO,
ArcFaceFunction.FACE_DETECT | ArcFaceFunction.FACE_RECOGNITION | ArcFaceFunction.AGE | ArcFaceFunction.FACE_3DANGLE | ArcFaceFunction.GENDER,
DetectionOrientPriority.ASF_OP_0_ONLY, 50, 32);
while (true)
{
Mat image = new Mat();
capture.Read(image);
if (image.Empty())
{
continue;
}
Bitmap bitmap = image.ToBitmap();
ImageData imageData = ImageDataConverter.ConvertToImageData(bitmap);
//人脸检测
MultiFaceModel multiFaceModel = arcFaceCore.FaceDetection(imageData, false);
// 人脸信息检测 先调用这个接口才能获取以下三个信息
arcFaceCore.FaceProcess(imageData, multiFaceModel);
//获取年龄信息
List <int> ageList = arcFaceCore.GetAge();
foreach (var item in ageList)
{
Console.WriteLine("Age:" + item);
}
// 获取性别信息
List <int> genderList = arcFaceCore.GetGender();
foreach (var item in genderList)
{
Console.WriteLine("Sex:" + item);
}
// 获取人脸角度信息
List <Face3DAngleModel> face3DAngleList = arcFaceCore.GetFace3DAngle();
//foreach (var item in face3DAngleList)
//{
// Console.WriteLine("Face3D:" + item.);
//}
//asfSingleFaceInfo 为人脸检测接口返回的人脸信息中的其中一个人脸信息
AsfSingleFaceInfo asfSingleFaceInfo = new AsfSingleFaceInfo();
try
{
AsfFaceFeature asfFaceFeature = arcFaceCore.FaceFeatureExtract(imageData, ref asfSingleFaceInfo);
}
catch (ResultCodeException e)
{
Console.WriteLine(e.ResultCode);
//throw;
}
win.Image = bitmap.ToMat();
// 释放销毁引擎
arcFaceCore.Dispose();
// ImageData使用完之后记得要 Dispose 否则会导致内存溢出
imageData.Dispose();
//faceData2.Dispose();
// BItmap也要记得 Dispose
//face1.Dispose();
bitmap.Dispose();
}
}
private void btn_compare_Click(object sender, EventArgs e)
{
//图片比对
ArcFaceCore arcFaceImg = new ArcFaceCore(APPID, FT_SDKKEY, ArcFaceDetectMode.IMAGE,
ArcFaceFunction.FACE_DETECT | ArcFaceFunction.FACE_RECOGNITION | ArcFaceFunction.AGE | ArcFaceFunction.FACE_3DANGLE | ArcFaceFunction.GENDER, DetectionOrientPriority.ASF_OP_0_ONLY, 1, 16);
Bitmap camImg = new Bitmap(@"E:\\CAM.JPG");
Bitmap idCardImg = new Bitmap(@"E:\\IDCARDIMG.JPG");
//将第一张图片的 Bitmap 转换成 ImageData
ImageData camImgData = ImageDataConverter.ConvertToImageData(camImg);
ImageData idCardImgData = ImageDataConverter.ConvertToImageData(idCardImg);
try
{
// 检测第一张图片中的人脸
MultiFaceModel camImgMultiFace = arcFaceImg.FaceDetection(camImgData);
// 取第一张图片中返回的第一个人脸信息
AsfSingleFaceInfo camImgfaceInfo = camImgMultiFace.FaceInfoList.First();
// 提第一张图片中返回的第一个人脸的特征
AsfFaceFeature asfFaceFeatureCam = arcFaceImg.FaceFeatureExtract(camImgData, ref camImgfaceInfo);
MultiFaceModel idCardImgMultiFace = arcFaceImg.FaceDetection(idCardImgData);
AsfSingleFaceInfo idCardImgfaceInfo = idCardImgMultiFace.FaceInfoList.First();
AsfFaceFeature asfFaceFeatureIdCard = arcFaceImg.FaceFeatureExtract(idCardImgData, ref idCardImgfaceInfo);
float ret = arcFaceImg.FaceCompare(asfFaceFeatureCam, asfFaceFeatureIdCard);
if (ret > 0.6)
{
//MessageBox.Show("人脸匹配成功"+ret);
lbl_msg.ForeColor = Color.Green;
lbl_msg.Text = "人脸匹配成功--相似度：" + ret;
bPlayflag = false;
ThreadCam.Abort();
m_vCapture.Release();
btn_play.Text = "打开摄像头";
}
else
{
//MessageBox.Show("人脸匹配失败" + ret);
lbl_msg.ForeColor = Color.Red;
lbl_msg.Text = "人脸匹配失败--相似度：" + ret;
}
}
catch(Exception ex)
{
//MessageBox.Show("人脸匹配失败Ex");
lbl_msg.ForeColor = Color.Red;
lbl_msg.Text = "人脸匹配失败Ex：" + ex.Message;
}
finally
{
//释放销毁引擎
arcFaceImg.Dispose();
// ImageData使用完之后记得要 Dispose 否则会导致内存溢出
camImgData.Dispose();
idCardImgData.Dispose();
// BItmap也要记得 Dispose
camImg.Dispose();
idCardImg.Dispose();
GC.Collect();
}
}