static void Main(string[] args)
{
Console.Write("Enter path to an image to load: ");
string path = Console.ReadLine();
// Load bitmap from path
IReadOnlyList <CnnFaceDetected> result;
using (var bitmap = new Bitmap(path))
{
// Detect faces
using var detector = new CnnFaceDetector();
result = detector.Detect(bitmap);
}
// Apply rectangles to faces
using var image = Image.FromFile(path);
using var graphics = Graphics.FromImage(image);
foreach (var faceDetected in result)
{
graphics.DrawRectangle(new Pen(Color.Red, 2), faceDetected.Rectangle);
graphics.DrawString((faceDetected.Confidence * 100).ToString("0"), SystemFonts.DefaultFont, Brushes.Red, faceDetected.Rectangle);
}
// Save new image
string output = Path.Combine(Path.GetTempPath(), Guid.NewGuid().ToString("N")) + ".png";
image.Save(output, ImageFormat.Png);
// Open image
Process.Start(new ProcessStartInfo(output)
{
UseShellExecute = true
});
}
public static IActionResult Run(
[HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = null)] HttpRequest req,
ILogger log)
{
// Check how many requests received from the same IP
if (!ThrottleIp(req.HttpContext.Connection.RemoteIpAddress))
{
return(new StatusCodeResult(429));
}
// Read image from request
using var bitmap = new Bitmap(req.Body);
CnnFaceDetector detector = null;
try
{
// Get a detector from pool
detector = FaceDetectors.Get();
// Detect faces
IReadOnlyList <CnnFaceDetected> result = detector.Detect(bitmap, new Size(400, 400));
log.LogInformation("Found {faces} faces", result.Count);
return(new OkObjectResult(result));
}
finally
{
if (detector != null)
{
FaceDetectors.Return(detector);
}
}
}
public void MultipleFaces()
{
using var bitmap = new Bitmap("faces.jpg");
using var detector = new CnnFaceDetector();
var stopwatch = Stopwatch.StartNew();
IReadOnlyList <CnnFaceDetected> result = detector.Detect(bitmap);
stopwatch.Stop();
_testOutputHelper.WriteLine("Elapsed {0}", stopwatch.Elapsed.ToString());
Assert.Equal(49, result.Count);
}
public void ResizeFace()
{
using var detector = new CnnFaceDetector();
using (var bitmap = new Bitmap("faceh.jpg"))
{
var result = detector.Detect(bitmap, new Size(100, 100));
Assert.Equal(1, result.Count);
}
using (var bitmap = new Bitmap("facev.jpg"))
{
var result = detector.Detect(bitmap, new Size(100, 100));
Assert.Equal(1, result.Count);
}
}
public void Benchmark()
{
using var bitmap = new Bitmap("faces.jpg");
using var detector = new CnnFaceDetector();
var stopwatch = Stopwatch.StartNew();
for (int x = 0; x < 10; x++)
{
IReadOnlyList <CnnFaceDetected> result = detector.Detect(bitmap);
}
stopwatch.Stop();
_testOutputHelper.WriteLine("Elapsed {0}. {1:0.#} per second", stopwatch.Elapsed.ToString(), stopwatch.Elapsed.TotalSeconds / 100);
}
