public async Task <string> AnalyzeImageProcessAsync(VideoCamera videoCamera, ImageProcess imageProcess, AnalyzeRequest analyzeRequest)
{
var connectionApiData = new ConnectionApiData
{
Location = analyzeRequest.Location,
SubscriptionKey = analyzeRequest.SubscriptionKey
};
Languages enumLanguages = (Languages)analyzeRequest.IdLanguages;
RequestType enumRequestTypes = (RequestType)analyzeRequest.TypeCode;
switch (enumRequestTypes)
{
case RequestType.SceneChange: return(string.Empty);
case RequestType.Face: return(await AnalyzeFace(imageProcess.ImageFile, videoCamera.IdPersonGroupsAPI, connectionApiData));
case RequestType.Carplate: return(await AnalyzeCarPlate(enumLanguages.ToString(), imageProcess.ImageFile, connectionApiData));
case RequestType.ImageDescription: return(await AnalyzeImageDescription(enumLanguages.ToString(), imageProcess.ImageFile, connectionApiData));
}
return(null);
}
public async Task TrainPersonGroupAsync(string personGroupId, ConnectionApiData connectionApiData)
{
using (var faceClient = new FaceServiceClient(connectionApiData.SubscriptionKey, connectionApiData.Location))
{
await faceClient.TrainPersonGroupAsync(personGroupId);
}
}
public async Task CreatePersonGroupAsync(string id, string name, ConnectionApiData connectionApiData)
{
using (var faceClient = new FaceServiceClient(connectionApiData.SubscriptionKey, connectionApiData.Location))
{
await faceClient.CreatePersonGroupAsync(id, name);
}
}
protected HttpClient GetAzureApiClient(ConnectionApiData connectionApiData)
{
var apiClient = new HttpClient();
apiClient.BaseAddress = new Uri(connectionApiData.Location);
apiClient.DefaultRequestHeaders.Add(
"Ocp-Apim-Subscription-Key", connectionApiData.SubscriptionKey);
return(apiClient);
}
private async Task <List <Guid> > GetFaceIds(byte[] image, ConnectionApiData connectionApiData)
{
using (var msImage = new MemoryStream(image))
using (var faceClient = new FaceServiceClient(connectionApiData.SubscriptionKey, connectionApiData.Location))
{
Face[] faces = await faceClient.DetectAsync(msImage);
var faceIds = faces.Count() > 0 ? faces.Select(f => f.FaceId).ToList() : null;
if (faceIds == null)
{
_logger.LogError(string.Concat("AzureFaceAdapter.GetFaceIds::Cannot get faces from image"));
}
return(faceIds);
}
}
public async Task <string> RecognizeTextAsync(string mode, byte[] image, ConnectionApiData connectionApiData)
{
var uri = string.Format(_azureApiData.RecognizeTextUri, mode);
using (var azureClientApi = GetAzureApiClient(connectionApiData))
using (var postContent = new ByteArrayContent(image))
{
postContent.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
using (var response = await azureClientApi.PostAsync(uri, postContent))
{
if (!response.IsSuccessStatusCode)
{
_logger.LogError(string.Concat("AzureComputerVisionAdapter.RecognizeTextAsync::Cannot Recognize Text image", response.ToString()));
return(null);
}
return(await response.Content.ReadAsStringAsync());
}
}
}
public async Task <string> DescribeImageAsync(string language, byte[] image, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(@"
{
""description"": {
""tags"": [
""person"",
""man"",
""outdoor"",
""window"",
""glasses""
],
""captions"": [
{
""text"": ""Satya Nadella sitting on a bench"",
""confidence"": 0.48293603002174407
},
{
""text"": ""Satya Nadella is sitting on a bench"",
""confidence"": 0.40037006815422832
},
{
""text"": ""Satya Nadella sitting in front of a building"",
""confidence"": 0.38035155997373377
}
]
},
""requestId"": ""ed2de1c6-fb55-4686-b0da-4da6e05d283f"",
""metadata"": {
""width"": 1500,
""height"": 1000,
""format"": ""Jpeg""
}
}
"));
}
private async Task <string> AnalyzeCarPlate(string language, byte[] image, ConnectionApiData connectionApiData)
{
return(await _computerVisionAdapter.OCRAsync(language, image, connectionApiData));
}
public async Task <string> CreatePersonGroupPersonAsync(string personGroupId, string name, ConnectionApiData connectionApiData)
{
using (var faceClient = new FaceServiceClient(connectionApiData.SubscriptionKey, connectionApiData.Location))
{
var result = await faceClient.CreatePersonAsync(personGroupId, name);
return(result.PersonId.ToString());
}
}
public async Task <string> AddFacePersonGroupPersonAsync(string personGroupId, string personId, byte[] image, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(Guid.NewGuid().ToString()));
}
public async Task TrainPersonGroupAsync(string personGroupId, ConnectionApiData connectionApiData)
{
await Task.FromResult(0);
}
public async Task <string> IdentifyFaceAsync(byte[] image, string personGroupId, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(@"
{
[
{
""faceId"": ""c5c24a82-6845-4031-9d5d-978df9175426"",
""candidates"": [
{
""personId"": ""25985303-c537-4467-b41d-bdb45cd95ca1"",
""confidence"": 0.92
}
]
},
{
""faceId"": ""65d083d4-9447-47d1-af30-b626144bf0fb"",
""candidates"": [
{
""personId"": ""2ae4935b-9659-44c3-977f-61fac20d0538"",
""confidence"": 0.89
}
]
}
]
}
"));
}
public async Task <string> GetTrainingStatusPersonGroupAsync(string personGroupId, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(@"
{
""status"": ""succeeded"",
""createdDateTime"": ""12/21/2017 12:57:27"",
""lastActionDateTime"": ""12/21/2017 12:57:30"",
""message"": null
}
"));
}
public async Task <string> CreatePersonGroupPersonAsync(string personGroupId, string name, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(Guid.NewGuid().ToString()));
}
public async Task CreatePersonGroupAsync(string id, string name, ConnectionApiData connectionApiData)
{
await Task.FromResult(0);
}
public async Task <string> AddFacePersonGroupPersonAsync(string personGroupId, string personId, byte[] image, ConnectionApiData connectionApiData)
{
using (var faceClient = new FaceServiceClient(connectionApiData.SubscriptionKey, connectionApiData.Location))
using (var ms = new MemoryStream(image))
{
var result = await faceClient.AddPersonFaceAsync(personGroupId, new Guid(personId), ms);
return(result.PersistedFaceId.ToString());
}
}
private async Task <string> AnalyzeImageDescription(string language, byte[] image, ConnectionApiData connectionApiData)
{
return(await _computerVisionAdapter.DescribeImageAsync(language, image, connectionApiData));
}
public async Task <string> IdentifyFaceAsync(byte[] image, string personGroupId, ConnectionApiData connectionApiData)
{
var faceIds = await GetFaceIds(image, connectionApiData);
if (faceIds == null)
{
return(null);
}
//var ss = await faceClient.IdentifyAsync(personGroupId, faceIds.ToArray());
var uri = _azureApiData.IdentifyFaceUri;
var data = new { faceIds = faceIds, personGroupId = personGroupId };
using (var azureClientApi = GetAzureApiClient(connectionApiData))
using (var postContent = new StringContent(JsonConvert.SerializeObject(data), Encoding.UTF8, "application/json"))
using (var response = await azureClientApi.PostAsync(uri, postContent))
{
if (!response.IsSuccessStatusCode)
{
_logger.LogError(string.Concat("AzureFaceAdapter.CreatePersonGroupAsync::Cannot create person group with azureApi: ", response.ToString()));
return(null);
}
return(await response.Content.ReadAsStringAsync());
}
}
private async Task <string> AnalyzeFace(byte[] image, string personGroupId, ConnectionApiData connectionApiData)
{
return(await _faceAdapter.IdentifyFaceAsync(image, personGroupId, connectionApiData));
}
public async Task <string> OCRAsync(string language, byte[] image, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(@"
{
""language"": ""en"",
""textAngle"": -2.0000000000000338,
""orientation"": ""Up"",
""regions"": [
{
""boundingBox"": ""462,379,497,258"",
""lines"": [
{
""boundingBox"": ""462,379,497,74"",
""words"": [
{
""boundingBox"": ""462,379,41,73"",
""text"": ""A""
},
{
""boundingBox"": ""523,379,153,73"",
""text"": ""GOAL""
},
{
""boundingBox"": ""694,379,265,74"",
""text"": ""WITHOUT""
}
]
},
{
""boundingBox"": ""565,471,289,74"",
""words"": [
{
""boundingBox"": ""565,471,41,73"",
""text"": ""A""
},
{
""boundingBox"": ""626,471,150,73"",
""text"": ""PLAN""
},
{
""boundingBox"": ""801,472,53,73"",
""text"": ""IS""
}
]
},
{
""boundingBox"": ""519,563,375,74"",
""words"": [
{
""boundingBox"": ""519,563,149,74"",
""text"": ""JUST""
},
{
""boundingBox"": ""683,564,41,72"",
""text"": ""A""
},
{
""boundingBox"": ""741,564,153,73"",
""text"": ""WISH""
}
]
}
]
}
]
}
"));
}
public async Task <string> RecognizeTextAsync(string mode, byte[] image, ConnectionApiData connectionApiData)
{
return(await Task.FromResult(@""));
}
public async Task <string> GetTrainingStatusPersonGroupAsync(string personGroupId, ConnectionApiData connectionApiData)
{
using (var faceClient = new FaceServiceClient(connectionApiData.SubscriptionKey, connectionApiData.Location))
{
var trainingStatus = await faceClient.GetPersonGroupTrainingStatusAsync(personGroupId);
return(trainingStatus.Status.ToString());
}
}
