Skip to content

Latest commit

 

History

History
70 lines (60 loc) · 2.47 KB

README.md

File metadata and controls

70 lines (60 loc) · 2.47 KB
Raw

硬件要求

最低配置：Intel® CoreTM [email protected] 或者同级别芯片
推荐配置：Intel® CoreTM [email protected] 或者同级别芯片
版本： So64 v4.0
版本： x86 x64 v4.0

免费授权自行更新 ArcLib/Sox64/libarcsoft_face_engine.so .\ArcLib\x64\libarcsoft_face_engine.dll .\ArcLib\x86\libarcsoft_face_engine.dll

商用授权 离线激活 将激活验证文件更名为 ArcFace64.dat ArcFace32.dat

## 初始化虹软人脸sdk
````csharp
string proActiveKey32 = Ini.ReadIniData("ArcFace", "ProActiveKey32", string.Empty);
string proActiveKey64 = Ini.ReadIniData("ArcFace", "ProActiveKey64", string.Empty);
string proActiveKeySo64 = Ini.ReadIniData("ArcFace", "ProActiveKeySo64", string.Empty);

string appId = Ini.ReadIniData("ArcFace", "APPID", string.Empty);
string key32 = Ini.ReadIniData("ArcFace", "KEY32", string.Empty);
string key64 = Ini.ReadIniData("ArcFace", "KEY64", string.Empty);
string keySo64 = Ini.ReadIniData("ArcFace", "KEYSo64", string.Empty);

_ = ASFFunctions.Activation(appId, key32, key64, keySo64, proActiveKey32, proActiveKey64, proActiveKeySo64);

初始化人脸引擎

_ = ASFFunctions.InitEngine(pEngine: ref engine, isImgMode: isImgMode, faceMaxNum: maxFaceNum,
    isAngleZeroOnly: false, needFaceInfo: true, needRgbLive: needRgbLive, needIrLive: false,
    needFaceFeature: true,needImageQuality: needImageQuality);

分析人脸照片

List<FaceInfo> result = null;

if (engine != IntPtr.Zero)
{
    try
    {
        Image image = Converter.BuffToImage(imageBuffer);
        if(needCheckImage)
        {
            Converter.CleanImagePropertyItems(ref image);
        }

        result = ASFFunctions.DetectFacesEx(engine, image, faceMinWith: minWidth,
                    needCheckImage: needCheckImage, needFaceInfo: needFaceInfo, needRgbLive: needRgbLive,
                    needIrLive: false, needFeatures: needFeatures, needImageQuality: needImageQuality);
        image.Dispose();
    }
    catch (Exception ex)
    {
        Log.Instance.LogWrite(ex);
    }
}

特征值对比

var similarity = ASFFunctions.FaceFeatureCompare(_DetectFacesEngine, feature1, feature2, ASFFunctions.IsPro && isIdcardCompare);
var similarity = ASFFunctions.FaceFeatureCompare(_DetectFacesEngine, featureIntptr1, featureIntptr2, ASFFunctions.IsPro && isIdcardCompare);

特征值转指针对比

var featureIntptr=ASFFunctions.Feature2IntPtr(feature)