public static void Example()
{
String photo = "input.jpg";
String bucket = "bucket";
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = new Image()
{
S3Object = new S3Object()
{
Name = photo,
Bucket = bucket
},
},
MaxLabels = 10,
MinConfidence = 75F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
Console.WriteLine("Detected labels for " + photo);
foreach (Label label in detectLabelsResponse.Labels)
{
Console.WriteLine("{0}: {1}", label.Name, label.Confidence);
}
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
static void Main(string[] args)
{
List <string> filePaths = new List <string>();
filePaths.Add("CoupleWithDog.jpg");
filePaths.Add("HouseWithCar.jpg");
filePaths.Add("KidsPlayingOnstreet.jpg");
filePaths.Add("ManOnBike.jpg");
filePaths.Add("TwoDogsRunning.jpg");
filePaths.Add("building_pond.jpg");
filePaths.Add("chairs.jpg");
filePaths.Add("pond_people.jpg");
foreach (var photo in filePaths)
{
Image image = new 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 ex)
{
Console.WriteLine(ex.Message);
Console.WriteLine("Failed to load file " + photo);
}
AmazonRekognitionClient client = new AmazonRekognitionClient(Amazon.RegionEndpoint.USEast1);
DetectLabelsRequest request = new DetectLabelsRequest
{
Image = image,
MinConfidence = 90f
};
try
{
Console.WriteLine("Image : " + photo + "\n");
DetectLabelsResponse response = client.DetectLabels(request);
foreach (Label label in response.Labels)
{
Console.WriteLine("\t{0} : {1}", label.Name, label.Confidence);
}
Console.WriteLine();
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
}
Console.ReadLine();
}
private void ImageForm_Load(object sender, EventArgs e)
{
// Load images
var image = new Amazon.Rekognition.Model.Image();
try
{
using (var fs = new FileStream(imageUrl, 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)
{
MessageBox.Show("Không thể mở tệp " + imageUrl, "Thông báo", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
var rekognitionClient = new AmazonRekognitionClient();
var detectlabelsRequest = new DetectLabelsRequest()
{
Image = image,
MaxLabels = 10,
MinConfidence = 77F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
//MessageBox.Show("Detected labels for " + imageUrl);
foreach (var label in detectLabelsResponse.Labels)
{
//MessageBox.Show(label.Name + " : " + label.Confidence);
foreach (var item in label.Instances)
{
//MessageBox.Show("Left : " + item.BoundingBox.Left);
boundingEnum.Add(new PositionClass(
item.BoundingBox.Top * bmpHeight,
item.BoundingBox.Left * bmpWidth,
item.BoundingBox.Width * bmpWidth,
item.BoundingBox.Height * bmpHeight)
);
}
}
}
catch (Exception)
{
MessageBox.Show("Không thể phân tích hình ảnh", "Lỗi", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
public void FindObject()
{
Amazon.Rekognition.Model.Image image = new Amazon.Rekognition.Model.Image();
try
{
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);
}
}
catch (Exception)
{
Console.WriteLine("Failed to load file " + filePath);
return;
}
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = image,
MaxLabels = 10,
MinConfidence = 77F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
double width = imgPictureFrame.Width;
double height = imgPictureFrame.Height;
foreach (Label label in detectLabelsResponse.Labels)
{
List <Instance> instances = label.Instances;
foreach (Instance instance in instances)
{
string data = $"{label.Name}: {Math.Round(instance.Confidence,2)}%";
BoundingBox boundingBox = instance.BoundingBox;
BindingBox bindingBox = new BindingBox(width * boundingBox.Width, height * boundingBox.Height, height * boundingBox.Top, width * boundingBox.Left, data);
gContainer.Children.Add(bindingBox);
}
}
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
public static DetectLabelsResponse GetInfo(string filePath)
{
String photo = filePath;
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 ex)
{
Console.WriteLine("Failed to load file " + photo);
return(null);
}
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = image,
MaxLabels = 10,
MinConfidence = 77F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
Console.WriteLine("Detected labels for " + photo);
foreach (Label label in detectLabelsResponse.Labels)
{
Console.WriteLine("{0}: {1}", label.Name, label.Confidence);
}
return(detectLabelsResponse);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
return(null);
}
private string DetectObjects(MemoryStream memoryStream, out bool isDetectFace)
{
List <string> responseText = new List <string>();
string detectedResponse = "";
isDetectFace = false;
try
{
var detectResponses = client.DetectLabels(new DetectLabelsRequest
{
MinConfidence = 80,
Image = new Image
{
Bytes = memoryStream
},
MaxLabels = 10
});
if (detectResponses != null && detectResponses.HttpStatusCode == HttpStatusCode.OK && detectResponses.Labels.Count > 0)
{
foreach (var item in detectResponses.Labels)
{
if (item.Name.Contains("Human") || item.Name.Contains("People") || item.Name.Contains("Person"))
{
isDetectFace = true;
}
else
{
responseText.Add(item.Name);
}
}
if (responseText.Count > 0)
{
detectedResponse = "And you also seeing " + string.Join(", ", responseText.ToArray());
}
}
else
{
detectedResponse = "No objects Detected";
}
}
catch
{
detectedResponse = "No objects Detected";
}
return(detectedResponse);
}
static void Main(string[] args)
{
String bucket = ExtFunc.Read("\nAmazon S3 Bucket-Name with a picture:");
String photo = ExtFunc.Read("\nPicture Filename in Bucket:");
AmazonRekognitionClient rekognitionClient =
new AmazonRekognitionClient(Amazon.RegionEndpoint.USEast1);
var analyzed_image = new Image()
{
S3Object = new Amazon.Rekognition.Model.S3Object()
{
Name = photo,
Bucket = bucket
},
};
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = analyzed_image,
MaxLabels = 10,
MinConfidence = 75F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
Console.WriteLine("Detected labels for " + photo);
foreach (Label label in detectLabelsResponse.Labels)
{
Console.WriteLine("{0}: {1}", label.Name, label.Confidence);
}
var tempUrl = GetS3Url(RegionEndpoint.USEast1, photo, bucket, 1);
System.Diagnostics.Process.Start(tempUrl);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
public void RekognitionDetectLabels()
{
#region to-detect-labels-1481834255770
var client = new AmazonRekognitionClient();
var response = client.DetectLabels(new DetectLabelsRequest
{
Image = new Image {
S3Object = new S3Object {
Bucket = "mybucket",
Name = "myphoto"
}
},
MaxLabels = 123,
MinConfidence = 70
});
List <Label> labels = response.Labels;
#endregion
}
private Dictionary <string, float> GetLabels(MemoryStream image)
{
Dictionary <string, float> labels = new Dictionary <string, float>();
IAmazonRekognition reg = new AmazonRekognitionClient(ConfigurationManager.AppSettings["AWSAccessKey"], ConfigurationManager.AppSettings["AWSSecretKey"], RegionEndpoint.EUWest1);
var lbreq = new DetectLabelsRequest()
{
Image = new Amazon.Rekognition.Model.Image {
Bytes = image
},
MaxLabels = 100,
MinConfidence = 0
};
var tagRepo = reg.DetectLabels(lbreq);
foreach (var item in tagRepo.Labels)
{
labels.Add(item.Name, item.Confidence);
}
return(labels);
}
static void Main(string[] args)
{
const float MIN_CONFIDENCE = 90F;
try
{
string[] imagesList = GetListOfImages();
if (imagesList == null || imagesList.Length == 0)
{
Console.WriteLine("No images found in the Images folder");
return;
}
// Constructs a SharedCredentialsFile object from the default credentials file.
SharedCredentialsFile sharedCredentialsFile = new SharedCredentialsFile();
// Get the [default] profile from the credentials file.
CredentialProfile defaultProfile = GetDefaultProfile(sharedCredentialsFile);
if (defaultProfile != null)
{
// Get the credentials (access key, secret access key, etc.)
AWSCredentials credentials = AWSCredentialsFactory.GetAWSCredentials(defaultProfile, new SharedCredentialsFile());
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient(credentials, RegionEndpoint.USEast1);
CompareFacesRequest detectFacesRequest = new CompareFacesRequest()
{
SourceImage = GetImage(@"C:\Temp\TomCruise1.jpg"),
TargetImage = GetImage(@"C:\Temp\TomCruise2.jpg")
};
CompareFacesResponse response = rekognitionClient.CompareFaces(detectFacesRequest);
List <CompareFacesMatch> list = response.FaceMatches;
foreach (string filePath in imagesList)
{
Image image = GetImage(filePath);
if (image == null)
{
continue;
}
DetectLabelsRequest detectLabelsRequest = new DetectLabelsRequest()
{
Image = image,
MinConfidence = MIN_CONFIDENCE,
};
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectLabelsRequest);
Console.WriteLine("Image: {0}\n", filePath);
foreach (Label label in detectLabelsResponse.Labels)
{
Console.WriteLine("\t{0} ({1})", label.Name, label.Confidence);
}
Console.WriteLine();
}
}
else
{
Console.WriteLine("AWS [default] profile not found");
}
}
catch (AmazonRekognitionException ex)
{
Console.WriteLine("AWS Rekognition ERROR: {0}", ex.Message);
}
catch (Exception ex)
{
Console.WriteLine("ERROR: {0}", ex.Message);
}
Console.WriteLine("\nDONE");
Console.ReadLine();
}
private void Button_Click(object sender, RoutedEventArgs e)
{
Console.WriteLine("show");
string defaultURL = @"C:\Users\Admin\Desktop\121-1217434_transparent-crowd-of-people-png-people-walking-illustration.png";
String photo = txtURL.Text == string.Empty? defaultURL : txtURL.Text;
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)
{
Console.WriteLine("Failed to load file " + photo);
return;
}
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = image,
MaxLabels = 30,
MinConfidence = 40F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
//Console.WriteLine("Label " + detectLabelsResponse.Labels);
//int count = 0;
foreach (Label label in detectLabelsResponse.Labels)
{
Console.WriteLine("{0}: {1}", label.Name, label.Confidence);
if (label.Instances != null && label.Instances.Count > 0)
{
foreach (var item in label.Instances)
{
if (item.BoundingBox != null)
{
double width = item.BoundingBox.Width;
double height = item.BoundingBox.Height;
double left = item.BoundingBox.Left;
double top = item.BoundingBox.Top;
LayoutRoot.Children.Add(CreateARectangle(width * imageSource.Width, height * imageSource.Height, left * imageSource.Width, top * imageSource.Height));
//Console.WriteLine("Bouding box: " + item.BoundingBox.Top);
}
}
}
}
}
catch (Exception)
{
//Console.WriteLine(e.Message);
}
//LayoutRoot.Children.Add(CreateARectangle(0.5*300, 0.3*200, ));
//LayoutRoot.Children.Add(CreateARectangle(0.1*300, 0.2*200));
}
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));
}
if (boundingBoxes.Children.Count != 0)
{
boundingBoxes.Children.Clear();
}
var originalSize = GetOriginalImageSize(imgPhoto);
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)
{
Console.WriteLine("Failed to load file " + photo);
return;
}
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = image,
MaxLabels = 10,
MinConfidence = 77F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
foreach (Amazon.Rekognition.Model.Label label in detectLabelsResponse.Labels)
{
foreach (var instance in label.Instances)
{
var Left = instance.BoundingBox.Left;
var Top = instance.BoundingBox.Top;
var Width = instance.BoundingBox.Width;
var Height = instance.BoundingBox.Height;
var Name = label.Name;
DrawBoundingBox(Left, Top, Width, Height, Name, originalSize.Width, originalSize.Height);
}
}
}
catch
{
}
}
