public async Task <ObservableCollection <FaceClientResultModel> > Detection(Func <Stream> stream)
{
ObservableCollection <FaceClientResultModel> result = new ObservableCollection <FaceClientResultModel>();
IList <FaceAttributeType> faceAttributes =
new FaceAttributeType[]
{
FaceAttributeType.Gender, FaceAttributeType.Age,
FaceAttributeType.Smile, FaceAttributeType.Emotion,
FaceAttributeType.Glasses, FaceAttributeType.Hair
};
IList <DetectedFace> faceList;
IList <IdentifyResult> identifyResult = new List <IdentifyResult>();
try
{
faceList = await faceClient.Face.DetectWithStreamAsync(stream(), true, false, recognitionModel : recognitionModel, detectionModel : detectionModel);
var faceIds = faceList.Where(face => face.FaceId.HasValue).Select(face => face.FaceId.Value).ToList();
var groupId = await EnsurePersonGroup(personGroupId);
if (!string.IsNullOrEmpty(groupId))
{
//一次最大10人
for (int i = 0; i < faceIds.Count; i += 10)
{
var rs = await faceClient.Face.IdentifyAsync(faceIds.Skip(i).Take(10).ToList(), personGroupId);
rs.ForEach(r => identifyResult.Add(r));
}
}
}
catch (Exception ex)
{
throw ex;
}
foreach (var face in faceList)
{
var item = new FaceClientResultModel()
{
FaceID = face.FaceId.ToString(),
Name = await GetPersonNameAsync(identifyResult, face.FaceId),
ImageData = CaptureImage(
stream(),
face.FaceRectangle.Left,
face.FaceRectangle.Top,
face.FaceRectangle.Width,
face.FaceRectangle.Height)
};
item.Image = ImageSource.FromStream(() => item.ImageData.AsStream());
result.Add(item);
}
return(result);
}
public async Task Training(FaceClientResultModel input)
{
// TODO：这里先不考虑超出调用限制的问题
//https://docs.azure.cn/zh-cn/cognitive-services/face/face-api-how-to-topics/how-to-add-faces
//这是个临时处理
var personList = await faceClient.PersonGroupPerson.ListAsync(personGroupId);
Person person = personList.FirstOrDefault(p => p.Name == input.Name);
//添加人员，这里需要考虑当前用户是否已经添加用用户了，如果已添加过则在当前用户下添加照片
if (person == null)
{
person = await faceClient.PersonGroupPerson.CreateAsync(personGroupId, input.Name);
}
await faceClient.PersonGroupPerson.AddFaceFromStreamAsync(personGroupId, person.PersonId, input.ImageData.AsStream(), detectionModel : detectionModel);
//必须要训练
await faceClient.PersonGroup.TrainAsync(personGroupId);
}
