private void Button_Click(object sender, RoutedEventArgs e)
{
Console.WriteLine("show");
string defaultURL = @"C:\Users\Admin\Desktop\images\anh-tra-sua.jpg";
String photo = txtURL.Text == string.Empty ? defaultURL : txtURL.Text;
var rekognitionClient = new AmazonRekognitionClient();
var source = ToByteStream(photo);
var request = new DetectModerationLabelsRequest()
{
Image = source
};
try
{
var response = rekognitionClient.DetectModerationLabels(request);
Console.WriteLine("Detected labels for " + photo);
int count = 1;
txtInfo.Text = string.Empty;
foreach (ModerationLabel label in response.ModerationLabels)
{
txtInfo.Text += count++ + "/" + label.Name + " - " + label.Confidence + "\n";
}
}
catch (Exception)
{
}
}
private void ConvertButton_Click(object sender, RoutedEventArgs e)
{
var source = ToBytesStream(@"C:\Users\A715-72\Desktop\cnm\AWS2_01\AWS2_01\img\page1\2.jpg");
var client = new AmazonRekognitionClient();
var request = new DetectModerationLabelsRequest
{
Image = source
};
var respone = client.DetectModerationLabels(request);
var n = 360;
foreach (var label in respone.ModerationLabels)
{
Label lb = new Label
{
Content = label.Name,
FontSize = 15,
Margin = new Thickness(100, n, 0, 0)
};
n = n + 20;
canvas.Children.Add(lb);
}
//myLabel.Content = respone.ModerationLabels;
}
public static void Example()
{
String photo = "input.jpg";
String bucket = "bucket";
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectModerationLabelsRequest detectModerationLabelsRequest = new DetectModerationLabelsRequest()
{
Image = new Image()
{
S3Object = new S3Object()
{
Name = photo,
Bucket = bucket
},
},
MinConfidence = 60F
};
try
{
DetectModerationLabelsResponse detectModerationLabelsResponse = rekognitionClient.DetectModerationLabels(detectModerationLabelsRequest);
Console.WriteLine("Detected labels for " + photo);
foreach (ModerationLabel label in detectModerationLabelsResponse.ModerationLabels)
{
Console.WriteLine("Label: {0}\n Confidence: {1}\n Parent: {2}",
label.Name, label.Confidence, label.ParentName);
}
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
private void btnLoad_Click(object sender, RoutedEventArgs e)
{
OpenFileDialog op = new OpenFileDialog();
op.Title = "Select a picture";
op.Filter = "All supported graphics|*.jpg;*.jpeg;*.png|" +
"JPEG (*.jpg;*.jpeg)|*.jpg;*.jpeg|" +
"Portable Network Graphic (*.png)|*.png";
if (op.ShowDialog() == true)
{
imgPhoto.Source = new BitmapImage(new Uri(op.FileName));
}
String photo = imgPhoto.Source.ToString().Substring(8);
Amazon.Rekognition.Model.Image image = new Amazon.Rekognition.Model.Image();
try
{
using (FileStream fs = new FileStream(photo, FileMode.Open, FileAccess.Read))
{
byte[] data = null;
data = new byte[fs.Length];
fs.Read(data, 0, (int)fs.Length);
image.Bytes = new MemoryStream(data);
}
}
catch (Exception)
{
return;
}
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectModerationLabelsRequest detectModerationLabelsRequest = new DetectModerationLabelsRequest()
{
Image = image,
MinConfidence = 60F
};
try
{
DetectModerationLabelsResponse detectModerationLabelsResponse = rekognitionClient.DetectModerationLabels(detectModerationLabelsRequest);
List <Moderation> items = new List <Moderation>();
foreach (ModerationLabel label in detectModerationLabelsResponse.ModerationLabels)
{
items.Add(new Moderation()
{
Name = label.Name, Confidence = label.Confidence, ParentName = label.ParentName
});
}
lvModeration.ItemsSource = items;
}
catch (Exception)
{
Console.WriteLine("Error!!!");
return;
}
}
private void btnOCR_Click(object sender, EventArgs e)
{
if (textURL.Text == "")
{
MessageBox.Show("Vui lòng chọn hình ảnh để phân tích!", "Thông báo", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return;
}
Bitmap bmp = new Bitmap(textURL.Text);
//if (bmp.Height>bmp.Width)
//{
// // 200, 100 (khổ ngang) => 50,100 (khổ dọc)
// var sztmp = pb.Size;
// pb.Size = new Size(sztmp.Height, 370);
//}
pb.Image = bmp;
pb.SizeMode = PictureBoxSizeMode.StretchImage;
var source = ToByteStream(textURL.Text);
var client = new AmazonRekognitionClient();
var request = new DetectModerationLabelsRequest
{
Image = source,
MinConfidence = 50F
};
var response = client.DetectModerationLabels(request);
if (response.ModerationLabels.Count == 0)
{
txtRes.Text = "No moderation label be found!";
return;
}
var tmp = new StringBuilder();
tmp.Append("There are some moderation label has found below: \r\n");
foreach (var label in response.ModerationLabels)
{
tmp.Append(label.Name);
tmp.Append("\t(" + label.Confidence.ToString() + "%)\r\n");
}
txtRes.Text = tmp.ToString();
//MessageBox.Show(txtRes.Text);
}
private void btn_DetectAdultContent_Click(object sender, EventArgs e)
{
txt_adultContent.Text = "";
var source = ToBytesStream($"{sourceAdultContent}");
var client = new AmazonRekognitionClient();
var request = new DetectModerationLabelsRequest
{
Image = source
};
var response = client.DetectModerationLabels(request);
txt_adultContent.Text = ($"Found {response.ModerationLabels.Count} labels: \n");
foreach (var label in response.ModerationLabels)
{
txt_adultContent.Text += $"- {label.Name}\n";
}
}
public DetectModerationLabelsResponse ImageModeration()
{
Image image = new Image();
using (FileStream fs = new FileStream(filePath, FileMode.Open, FileAccess.Read))
{
byte[] data = null;
data = new byte[fs.Length];
fs.Read(data, 0, (int)fs.Length);
image.Bytes = new MemoryStream(data);
}
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectModerationLabelsRequest detectModerationLabelsRequest = new DetectModerationLabelsRequest()
{
Image = image,
MinConfidence = 60F
};
DetectModerationLabelsResponse detectModerationLabelsResponse = rekognitionClient.DetectModerationLabels(detectModerationLabelsRequest);
return(detectModerationLabelsResponse);
}
