public async Task <CognitiveStep> CognitivePipeline_OCR([ActivityTrigger] CognitiveStep input, ILogger log)
{
log.LogInformation($"******* Starting OCR");
string key = GlobalSettings.GetKeyValue("computerVisionKey");
string endpoint = GlobalSettings.GetKeyValue("computerVisionEndpoint");
ComputerVisionClient computerVision = new ComputerVisionClient(
new Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ApiKeyServiceClientCredentials(key),
new System.Net.Http.DelegatingHandler[] { })
{
Endpoint = endpoint
};
var data = await filesStorageRepo.GetFileAsync(input.FileUrl);
var ocrResult = await computerVision.RecognizePrintedTextInStreamAsync(true, new MemoryStream(data));
input.IsSuccessful = true;
input.Confidence = -1;
input.LastUpdatedAt = DateTime.UtcNow;
input.RawOutput = JsonConvert.SerializeObject(ocrResult);
return(input);
}
public async Task <CognitiveStep> CognitivePipeline_FaceDetectionBasic([ActivityTrigger] CognitiveStep input, ILogger log)
{
log.LogInformation($"******* Starting Face Detection");
string key = GlobalSettings.GetKeyValue("computerVisionKey");
string endpoint = GlobalSettings.GetKeyValue("computerVisionEndpoint");
ComputerVisionClient computerVision = new ComputerVisionClient(
new Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ApiKeyServiceClientCredentials(key),
new System.Net.Http.DelegatingHandler[] { })
{
Endpoint = endpoint
};
var data = await filesStorageRepo.GetFileAsync(input.FileUrl);
var detectionResult = await computerVision.AnalyzeImageInStreamAsync(new MemoryStream(data), new List <VisualFeatureTypes> {
VisualFeatureTypes.Faces
});
input.IsSuccessful = true;
input.Confidence = detectionResult.Faces.Count > 0 ? 1 : 0;
input.LastUpdatedAt = DateTime.UtcNow;
input.RawOutput = JsonConvert.SerializeObject(detectionResult);
return(input);
}
public async Task <CognitiveStep> CognitivePipeline_FaceDetection([ActivityTrigger] CognitiveStep input, ILogger log)
{
log.LogInformation($"******* Starting Face Detection");
string key = GlobalSettings.GetKeyValue("faceKey");
string endpoint = GlobalSettings.GetKeyValue("faceEndpoint");
IFaceClient faceClient = new FaceClient(
new Microsoft.Azure.CognitiveServices.Vision.Face.ApiKeyServiceClientCredentials(key),
new System.Net.Http.DelegatingHandler[] { })
{
Endpoint = endpoint
};
var data = await filesStorageRepo.GetFileAsync(input.FileUrl);
IList <FaceAttributeType> faceAttributes = new FaceAttributeType[]
{
FaceAttributeType.Gender, FaceAttributeType.Age,
FaceAttributeType.Smile, FaceAttributeType.Emotion,
FaceAttributeType.Glasses, FaceAttributeType.Hair
};
try
{
using (Stream imageFileStream = new MemoryStream(data))
{
// The second argument specifies to return the faceId, while
// the third argument specifies not to return face landmarks.
IList <DetectedFace> faceList =
await faceClient.Face.DetectWithStreamAsync(
imageFileStream, true, false, faceAttributes);
input.IsSuccessful = true;
input.Confidence = faceList.Count > 0 ? 1 : 0;
input.LastUpdatedAt = DateTime.UtcNow;
input.RawOutput = JsonConvert.SerializeObject(faceList);
return(input);
}
}
// Catch and display Face API errors.
catch (APIErrorException e)
{
log.LogError($"####### Failed to detect faces: {e.Message}");
input.IsSuccessful = false;
input.Confidence = 0;
input.LastUpdatedAt = DateTime.UtcNow;
input.Status = e.Message;
return(input);
}
}
