// New version
public void ProgramStart(List <StringPathAndImage> strings)
{
cts = new CancellationTokenSource();
List <string> filePaths = new List <string>();
List <string> imageList = new List <string>();
foreach (var item in strings)
{
filePaths.Add(item.Path);
imageList.Add(item.Image);
}
var tasks = new Task[filePaths.Count()];
for (int i = 0; i <= filePaths.Count() - 1; i++)
{
tasks[i] = Task.Factory.StartNew(pi =>
{
int idx = (int)pi;
ImageObject image;
lock (LockObject)
{
image = ModelContext.DatabaseCheck(filePaths[idx]);
}
if (image == null)
{
if (!cts.Token.IsCancellationRequested)
{
ObjectInImageProbability result = ImageRecognition(filePaths[idx], imageList[idx]);
this.ResultEvent?.Invoke(this, result);
lock (LockObject)
{
ModelContext.DatabaseAdding(result);
}
}
}
else
{
if (!cts.Token.IsCancellationRequested)
{
ObjectInImageProbability result = new ObjectInImageProbability(filePaths[idx], image.ClassLabel, image.Probability);
this.ResultEvent?.Invoke(this, result);
}
}
}, i);
}
Task.WaitAll(tasks);
}
// Getting all the images from existing or default directory and recognition of objects using TPL
public void ProgramStart(string path)
{
cts = new CancellationTokenSource();
// Getting all the .jpg pictures from directory
string[] filePaths = Directory.GetFiles(@path, "*.jpg");
// Data processing with TPL [tasks]
var tasks = new Task[filePaths.Count()];
for (int i = 0; i <= filePaths.Count() - 1; i++)
{
tasks[i] = Task.Factory.StartNew(pi =>
{
int idx = (int)pi;
ImageObject image;
lock (LockObject)
{
image = ModelContext.DatabaseCheck(filePaths[idx]);
}
if (image == null)
{
if (!cts.Token.IsCancellationRequested)
{
ObjectInImageProbability result = ImageRecognition(filePaths[idx]);
this.ResultEvent?.Invoke(this, result);
lock (LockObject)
{
ModelContext.DatabaseAdding(result);
}
}
}
else
{
if (!cts.Token.IsCancellationRequested)
{
ObjectInImageProbability result = new ObjectInImageProbability(filePaths[idx], image.ClassLabel, image.Probability);
this.ResultEvent?.Invoke(this, result);
}
}
}, i);
}
Task.WaitAll(tasks);
}
public void DatabaseAdding(ObjectInImageProbability image)
{
ImageInformation AddedImage = new ImageInformation
{
Path = image.Path,
ImageContext = new Blob()
{
ImageContext = File.ReadAllBytes(image.Path)
},
Probability = image.Probability
};
var query = ClassLabels.Include(item => item.ImagesInformation).Where(item => item.StringClassLabel == image.ClassLabel);
if (query.Count() == 0)
{
AddedImage.ClassLabel = new ClassLabel()
{
StringClassLabel = image.ClassLabel,
ClassLabelImagesNumber = 1
};
AddedImage.ClassLabel.ImagesInformation = new List <ImageInformation>
{
AddedImage
};
ImagesInformation.Add(AddedImage);
ClassLabels.Add(AddedImage.ClassLabel);
ImageContext.Add(AddedImage.ImageContext);
}
else
{
AddedImage.ClassLabel = query.First();
AddedImage.ClassLabel.ImagesInformation.Add(AddedImage);
AddedImage.ClassLabel.ClassLabelImagesNumber++;
ImagesInformation.Add(AddedImage);
ImageContext.Add(AddedImage.ImageContext);
}
SaveChanges();
}
