static void IdentifyCelebrityFaces(string filename)
{
// Using USWest2, not the default region
AmazonRekognitionClient rekoClient = new AmazonRekognitionClient(Amazon.RegionEndpoint.USWest2);
// Request needs image bytes, so read and add to request
byte[] data = File.ReadAllBytes(filename);
RecognizeCelebritiesRequest rcr = new RecognizeCelebritiesRequest
{
Image = new Amazon.Rekognition.Model.Image
{
Bytes = new MemoryStream(data)
}
};
RecognizeCelebritiesResponse outcome = rekoClient.RecognizeCelebrities(rcr);
if (outcome.CelebrityFaces.Count > 0)
{
// Load a bitmap to modify with face bounding box rectangles
Bitmap facesHighlighted = new Bitmap(filename);
Pen pen = new Pen(Color.Black, 3);
Font drawFont = new Font("Arial", 12);
// Create a graphics context
using (var graphics = Graphics.FromImage(facesHighlighted))
{
foreach (var fd in outcome.CelebrityFaces)
{
// Get the bounding box
BoundingBox bb = fd.Face.BoundingBox;
Console.WriteLine($"Bounding box = ({bb.Left}, {bb.Top}, {bb.Height}, {bb.Width})");
// Draw the rectangle using the bounding box values
// They are percentages so scale them to picture
graphics.DrawRectangle(pen,
x: facesHighlighted.Width * bb.Left,
y: facesHighlighted.Height * bb.Top,
width: facesHighlighted.Width * bb.Width,
height: facesHighlighted.Height * bb.Height);
graphics.DrawString(fd.Name,
font: drawFont,
brush: Brushes.White,
x: facesHighlighted.Width * bb.Left,
y: facesHighlighted.Height * bb.Top + facesHighlighted.Height * bb.Height);
}
}
// Save the image with highlights as PNG
string fileout = filename.Replace(Path.GetExtension(filename), "_celebrityfaces.png");
facesHighlighted.Save(fileout, System.Drawing.Imaging.ImageFormat.Png);
Console.WriteLine(">>> " + outcome.CelebrityFaces.Count + " celebrity face(s) highlighted in file " + fileout);
}
else
{
Console.WriteLine(">>> No celebrity faces found");
}
}
static void IdentifyCelebrityFaces(string filename)
{
// Using USWest2, not the default region
AmazonRekognitionClient rekoClient = new AmazonRekognitionClient(Amazon.RegionEndpoint.USWest2);
RecognizeCelebritiesRequest dfr = new RecognizeCelebritiesRequest();
// Request needs image butes, so read and add to request
Amazon.Rekognition.Model.Image img = new Amazon.Rekognition.Model.Image();
byte[] data = null;
using (FileStream fs = new FileStream(filename, FileMode.Open, FileAccess.Read))
{
data = new byte[fs.Length];
fs.Read(data, 0, (int)fs.Length);
}
img.Bytes = new MemoryStream(data);
dfr.Image = img;
var outcome = rekoClient.RecognizeCelebrities(dfr);
if (outcome.CelebrityFaces.Count > 0)
{
// Load a bitmap to modify with face bounding box rectangles
System.Drawing.Bitmap facesHighlighted = new System.Drawing.Bitmap(filename);
Pen pen = new Pen(Color.Black, 3);
Font drawFont = new Font("Arial", 12);
// Create a graphics context
using (var graphics = Graphics.FromImage(facesHighlighted))
{
foreach (var fd in outcome.CelebrityFaces)
{
// Get the bounding box
BoundingBox bb = fd.Face.BoundingBox;
Console.WriteLine("Bounding box = (" + bb.Left + ", " + bb.Top + ", " +
bb.Height + ", " + bb.Width + ")");
// Draw the rectangle using the bounding box values
// They are percentages so scale them to picture
graphics.DrawRectangle(pen, x: facesHighlighted.Width * bb.Left,
y: facesHighlighted.Height * bb.Top,
width: facesHighlighted.Width * bb.Width,
height: facesHighlighted.Height * bb.Height);
graphics.DrawString(fd.Name, drawFont, Brushes.White, facesHighlighted.Width * bb.Left,
facesHighlighted.Height * bb.Top + facesHighlighted.Height * bb.Height);
}
}
// Save the image with highlights as PNG
string fileout = filename.Replace(Path.GetExtension(filename), "_celebrityfaces.png");
facesHighlighted.Save(fileout, System.Drawing.Imaging.ImageFormat.Png);
Console.WriteLine(">>> " + outcome.CelebrityFaces.Count + " celebrity face(s) highlighted in file " + fileout);
}
else
{
Console.WriteLine(">>> No celebrity faces found");
}
}
public static void Example()
{
String photo = "moviestars.jpg";
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
RecognizeCelebritiesRequest recognizeCelebritiesRequest = new RecognizeCelebritiesRequest();
Amazon.Rekognition.Model.Image img = new Amazon.Rekognition.Model.Image();
byte[] data = null;
try
{
using (FileStream fs = new FileStream(photo, FileMode.Open, FileAccess.Read))
{
data = new byte[fs.Length];
fs.Read(data, 0, (int)fs.Length);
}
}
catch (Exception)
{
Console.WriteLine("Failed to load file " + photo);
return;
}
img.Bytes = new MemoryStream(data);
recognizeCelebritiesRequest.Image = img;
Console.WriteLine("Looking for celebrities in image " + photo + "\n");
RecognizeCelebritiesResponse recognizeCelebritiesResponse = rekognitionClient.RecognizeCelebrities(recognizeCelebritiesRequest);
Console.WriteLine(recognizeCelebritiesResponse.CelebrityFaces.Count + " celebrity(s) were recognized.\n");
foreach (Celebrity celebrity in recognizeCelebritiesResponse.CelebrityFaces)
{
Console.WriteLine("Celebrity recognized: " + celebrity.Name);
Console.WriteLine("Celebrity ID: " + celebrity.Id);
BoundingBox boundingBox = celebrity.Face.BoundingBox;
Console.WriteLine("position: " +
boundingBox.Left + " " + boundingBox.Top);
Console.WriteLine("Further information (if available):");
foreach (String url in celebrity.Urls)
{
Console.WriteLine(url);
}
}
Console.WriteLine(recognizeCelebritiesResponse.UnrecognizedFaces.Count + " face(s) were unrecognized.");
}
