public async Task <IActionResult> Crop([FromQuery] ImageCropInputModel imageCropInputModel)
{
if (ModelState.IsValid)
{
return(BadRequest(ModelState));
}
var modifiedImage = await _imageProcessor.CropImage(imageCropInputModel);
return(File(modifiedImage.ImageAsBytes, modifiedImage.ImageFormat));
}
/// <summary>
/// Detect faces
/// </summary>
/// <param name="imageFilePath"></param>
/// <returns></returns>
public async Task <List <Face> > DetectFaces(string imagePath, IImageProcessor imageProcessor)
{
var faces = new List <Face>();
if (_transThrottle.Disabled)
{
Logging.LogWarning("Azure has reached maximum monthly transactions, so is disabled.");
return(faces);
}
if (_faceClient != null && _detectionType != AzureDetection.Disabled)
{
var watch = new Stopwatch("AzureFace");
try
{
var detectedFaces = await AzureDetect(imagePath);
if (detectedFaces != null && detectedFaces.Any())
{
faces = await IdentifyOrCreateFaces(detectedFaces);
foreach (var face in faces)
{
// Hopefully they'll improve this....
// https://docs.microsoft.com/en-us/answers/questions/494886/azure-faceclient-persondirectory-api-usage.html
using MemoryStream stream = new MemoryStream();
await imageProcessor.CropImage(new FileInfo( imagePath ), face.Left, face.Top, face.Width, face.Height, stream);
if (stream != null)
{
var persistedFace = await _transThrottle.Call("AddFace", _faceClient.PersonDirectory.AddPersonFaceFromStreamAsync(
face.PersonId.ToString(),
image: stream,
recognitionModel: RECOGNITION_MODEL,
detectionModel: DETECTION_MODEL));
}
else
{
Logging.Log($"Unable to crop image for Azure: no supported image processor for {imagePath}");
}
}
}
}
catch (ErrorException ex)
{
Logging.LogError($"Azure face error: {ex.Response.Content}");
}
catch (Exception ex)
{
Logging.LogError($"Exception during Azure face detection: {ex}");
}
watch.Stop();
if (faces.Any())
{
Logging.Log($" Azure Detected {faces.Count()} faces in {watch.ElapsedTime}ms");
}
_transThrottle.ProcessNewTransactions();
}
else
{
Logging.LogVerbose($"Azure Face Service was not configured.");
}
return(faces);
}