public IActionResult CreateImageProcessingConfigWithImage([FromBody] ImageProcessingConfigWithImageForCreationDto imageProcessingConfig)
{
var neuralNetworkFromRepo = _mlpRepository.GetNeuralNetwork(imageProcessingConfig.NeuralNetworkId);
if (neuralNetworkFromRepo == null)
{
return(NotFound("Red no encontrada"));
}
ImageProcessing.MLP mlp = new ImageProcessing.MLP();
var imageProcessingConfigValues = mlp.GetImageProcessingConfig(imageProcessingConfig.Image);
var imageProcessingConfigForCreation = Mapper.Map <ImageProcessingConfigForCreationDto>(imageProcessingConfig)
.Map(imageProcessingConfigValues);
var imageProcessingConfigEntity = Mapper.Map <ImageProcessingConfig>(imageProcessingConfigForCreation);
_mlpRepository.AddImageProcessingConfig(imageProcessingConfigEntity);
if (!_mlpRepository.Save())
{
throw new Exception("Creating a Image Processing Config failed on save.");
}
var imageProcessingConfigToReturn = Mapper.Map <ImageProcessingConfigDto>(imageProcessingConfigEntity);
//var links = CreateLinksForNeuralNetwork(neuralNetworkToReturn.Id);
return(CreatedAtRoute("GetImageProcessingConfig", new { id = imageProcessingConfigToReturn.Id }, imageProcessingConfigToReturn));
}
public IActionResult GetImageProcessed(Guid neuralNetworkId, [FromBody] ImageDto image)
{
var neuralNetworkFromRepo = _mlpRepository.GetFullNeuralNetwork(neuralNetworkId);
if (neuralNetworkFromRepo == null)
{
return(NotFound("Red no encontrada"));
}
var imageProcessingConfigActiveFromRepo = _mlpRepository.GetActiveImageProcessingConfigByNeuralNetwork(neuralNetworkId);
ImageProcessing.MLP mlp = new ImageProcessing.MLP();
List <double> input = mlp.ProcessImageMLP(image, imageProcessingConfigActiveFromRepo);
//b.("");
return(Ok(MultiLayerPerceptron.GetNetworkPrediction(neuralNetworkFromRepo, input)));
}
public IActionResult GetImageProcessedRasp(Guid neuralNetworkId, [FromBody] ImageRaspDto image)
{
var neuralNetworkFromRepo = _mlpRepository.GetFullNeuralNetwork(neuralNetworkId);
if (neuralNetworkFromRepo == null)
{
return(NotFound("Red no encontrada"));
}
var imageProcessingConfigActiveFromRepo = _mlpRepository.GetActiveImageProcessingConfigByNeuralNetwork(neuralNetworkId);
ImageProcessing.MLP mlp = new ImageProcessing.MLP();
WriteFilesHelper.WriteImageFromBytes(WriteFilesHelper.GetStartupFolder(), "Test.bmp", Convert.FromBase64String(image.ImageBase64WithMetadata));
List <double> input = mlp.ProcessLocalImageMLP(WriteFilesHelper.GetLocalRaspImage(), imageProcessingConfigActiveFromRepo);
//b.("");
return(Ok(MultiLayerPerceptron.GetNetworkPrediction(neuralNetworkFromRepo, input)));
}
