/// <summary>
/// 返回所有相似度 0.5 以上的人脸，并按相似度倒排序
/// </summary>
/// <param name="feature"></param>
/// <returns></returns>
public List <FindPersonFaceResult> FindPersonFaceByFeature(Feature feature)
{
var _cache = _personFaceRepository.GetAllPersonFaces();
if (_cache.Count == 0)
{
return(null);
}
List <FindPersonFaceResult> resultList = new List <FindPersonFaceResult>();
foreach (var single in _cache)
{
var sim = _processor.Match(feature.FeatureData, single.FaceFeature);
if (sim > 0.5)
{
FindPersonFaceResult result = new FindPersonFaceResult();
result.PersonFace = single;
result.Similar = sim;
resultList.Add(result);
}
}
return(resultList
.OrderByDescending(r => r.Similar)
.ToList());
}
private static void TestMatching()
{
using (var proccesor = new FaceProcessor("appId",
"ftKey", "frKey", true))
{
var image1 = Image.FromFile("test2.jpg");
var image2 = Image.FromFile("test.jpg");
var result1 = proccesor.LocateExtract(new Bitmap(image1));
var result2 = proccesor.LocateExtract(new Bitmap(image2));
if ((result1 != null) & (result2 != null))
{
Console.WriteLine(proccesor.Match(result1[0].FeatureData, result2[0].FeatureData, true));
}
}
}
private string[] MatchAll(Feature[] features)
{
var result = Enumerable.Repeat("陌生人", features.Length).ToArray();
if (_cache.Count == 0)
{
return(result);
}
//依次处理找到的人脸
var max = new float[features.Length];
try
{
_cacheLock.EnterReadLock();
foreach (var single in _cache)
{
for (var i = 0; i < features.Length; i++)
{
var sim = _processor.Match(features[i].FeatureData,
single.Value); //此方法默认保留采集到的特征（非托管内存），并自动释放被比较（特征库）的特征数据，所以无需担心内存泄露
if (sim > 0.5)
{
if (sim > max[i])
{
max[i] = sim;
result[i] = single.Key;
}
}
}
}
}
finally
{
_cacheLock.ExitReadLock();
}
return(result);
}
