public async Task <IActionResult> IdentifyObjects(IFormFile imageFile)
{
if (imageFile.Length == 0)
{
return(BadRequest());
}
string imageFilePath = "", fileName = "";
try
{
//Save the temp image into the temp-folder
fileName = await _imageWriter.UploadImageAsync(imageFile, _imagesTmpFolder);
imageFilePath = Path.Combine(_imagesTmpFolder, fileName);
//Detect the objects in the image
var result = DetectAndPaintImage(imageFilePath);
return(Ok(result));
}
catch (Exception e)
{
_logger.LogInformation("Error is: " + e.Message);
return(BadRequest());
}
}
public async Task <IActionResult> IdentifyObjects(IFormFile imageFile)
{
if (imageFile.Length == 0)
{
return(BadRequest());
}
string imageFilePath = "", fileName = "";
try
{
//Save the temp image into the temp-folder
fileName = await _imageWriter.UploadImageAsync(imageFile, _imagesTmpFolder);
imageFilePath = Path.Combine(_imagesTmpFolder, fileName);
_logger.LogInformation($"Start processing image file { imageFilePath }");
//Measure execution time
var watch = System.Diagnostics.Stopwatch.StartNew();
//Predict the objects in the image
var objectsNames = _modelScorer.DetectObjectsUsingModel(imageFilePath);
_modelScorer.PaintImages(imageFilePath);
//Stop measuring time
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
_logger.LogInformation($"Image processed in {elapsedMs} miliseconds");
return(Ok(objectsNames));
}
catch (Exception e)
{
_logger.LogInformation("Error is: " + e.Message);
return(BadRequest());
}
}
public async Task <IActionResult> ClassifyImage(IFormFile imageFile)
{
if (imageFile.Length == 0)
{
return(BadRequest());
}
string imageFilePath = "", fileName = "";
try
{
//Save the temp image image into the temp-folder
fileName = await _imageWriter.UploadImageAsync(imageFile, _imagesTmpFolder);
imageFilePath = Path.Combine(_imagesTmpFolder, fileName);
//Convert image stream to byte[]
byte[] imageData = null;
//
//Image stream still not used in ML.NET 0.7 but only possible through a file
//
//MemoryStream image = new MemoryStream();
//await imageFile.CopyToAsync(image);
//imageData = image.ToArray();
//if (!imageData.IsValidImage())
// return StatusCode(StatusCodes.Status415UnsupportedMediaType);
ImagePredictedLabelWithProbability imageLabelPrediction = null;
_logger.LogInformation($"Start processing image file { imageFilePath }");
//Measure execution time
var watch = System.Diagnostics.Stopwatch.StartNew();
//Predict the image's label (The one with highest probability)
imageLabelPrediction = _modelScorer.PredictLabelForImage(imageData, imageFilePath);
//Stop measuring time
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
imageLabelPrediction.PredictionExecutionTime = elapsedMs;
_logger.LogInformation($"Image processed in {elapsedMs} miliseconds");
//TODO: Commented as the file is still locked by TensorFlow or ML.NET?
//_imageWriter.DeleteImageTempFile(imageFilePath);
//return new ObjectResult(result);
return(Ok(imageLabelPrediction));
}
finally
{
try
{
if (imageFilePath != string.Empty)
{
_logger.LogInformation($"Deleting Image {imageFilePath}");
//TODO: Commented as the file is still locked by TensorFlow or ML.NET?
//_imageWriter.DeleteImageTempFile(imageFilePath);
}
}
catch (Exception)
{
_logger.LogInformation("Error deleting image: " + imageFilePath);
}
}
}