public void DetectFaceRectDetection()
{
if (this._FrontalFaceDetector == null)
{
Assert.True(false, "ShapePredictor is not initialized!!");
}
var faceDetector = this._FrontalFaceDetector;
const string testName = nameof(DetectFaceRectDetection);
var path = this.GetDataFile("Lenna.bmp");
var tests = new[]
{
new { Type = MatrixElementTypes.RgbPixel, ExpectResult = true },
new { Type = MatrixElementTypes.UInt8, ExpectResult = true },
new { Type = MatrixElementTypes.UInt16, ExpectResult = true },
new { Type = MatrixElementTypes.UInt32, ExpectResult = true },
new { Type = MatrixElementTypes.Int8, ExpectResult = true },
new { Type = MatrixElementTypes.Int16, ExpectResult = true },
new { Type = MatrixElementTypes.Int32, ExpectResult = true },
new { Type = MatrixElementTypes.HsiPixel, ExpectResult = true },
new { Type = MatrixElementTypes.Float, ExpectResult = true },
new { Type = MatrixElementTypes.Double, ExpectResult = true },
new { Type = MatrixElementTypes.RgbAlphaPixel, ExpectResult = false }
};
foreach (var input in tests)
{
var expectResult = input.ExpectResult;
var imageObj = DlibTest.LoadImageAsMatrixHelp(input.Type, path);
IEnumerable <RectDetection> result = null;
var outputImageAction = new Func <bool, IEnumerable <RectDetection> >(expect =>
{
faceDetector.Operator(imageObj, out var detections);
result = detections;
return(detections);
});
var successAction = new Action <IEnumerable <RectDetection> >(detections =>
{
// This test does NOT check whether output image and detect face area are correct
//Dlib.SaveJpeg(image, $"{Path.Combine(this.GetOutDir(type, testName), $"2008_001322_{input.Type}.jpg")}");
Console.WriteLine($"{input.Type}");
foreach (var d in detections)
{
var rect = d.Rect;
Console.WriteLine($"\tDetectionConfidence: {d.DetectionConfidence}, WeightIndex: {d.WeightIndex}, Rect: \n\t\tLeft: {rect.Left}, Top: {rect.Top}, Right: {rect.Right}, Bottom: {rect.Bottom}");
}
});
var failAction = new Action(() =>
{
Assert.True(false, $"{testName} should throw exception for InputType: {input.Type}.");
});
var finallyAction = new Action(() =>
{
this.DisposeAndCheckDisposedState(imageObj);
if (result != null)
{
this.DisposeAndCheckDisposedStates(result);
}
});
var exceptionAction = new Action(() =>
{
Console.WriteLine($"Failed to execute {testName} to InputType: {input.Type}.");
});
DoTest(outputImageAction, expectResult, successAction, finallyAction, failAction, exceptionAction);
}
}
public void DetectFaceMModRect2()
{
if (this._ShapePredictor == null)
{
Assert.True(false, "ShapePredictor is not initialized!!");
}
const string testName = "DetectFaceMModRect2";
var path = this.GetDataFile("Lenna_mini.bmp");
var tests = new[]
{
new { Type = MatrixElementTypes.RgbPixel, ExpectResult = true },
new { Type = MatrixElementTypes.UInt8, ExpectResult = true },
new { Type = MatrixElementTypes.UInt16, ExpectResult = true },
new { Type = MatrixElementTypes.UInt32, ExpectResult = true },
new { Type = MatrixElementTypes.Int8, ExpectResult = true },
new { Type = MatrixElementTypes.Int16, ExpectResult = true },
new { Type = MatrixElementTypes.Int32, ExpectResult = true },
new { Type = MatrixElementTypes.HsiPixel, ExpectResult = true },
new { Type = MatrixElementTypes.LabPixel, ExpectResult = true },
new { Type = MatrixElementTypes.Float, ExpectResult = true },
new { Type = MatrixElementTypes.Double, ExpectResult = true },
new { Type = MatrixElementTypes.RgbAlphaPixel, ExpectResult = false }
};
using (var faceDetector = Dlib.GetFrontalFaceDetector())
foreach (var input in tests)
{
var expectResult = input.ExpectResult;
var imageObj = DlibTest.LoadImageAsMatrixHelp(input.Type, path);
MModRect[] dets = null;
var outputImageAction = new Func <bool, MatrixBase>(expect =>
{
dets = faceDetector.Operator(imageObj).Select(r => new MModRect {
Rect = r
}).ToArray();
return(imageObj);
});
var successAction = new Action <MatrixBase>(image =>
{
var rects = new List <Rectangle>();
const int offset = 1;
var shapes = dets.Select(r => this._ShapePredictor.Detect(image, r)).ToList();
foreach (var shape in shapes)
{
var r = shape.Rect;
var parts = shape.Parts;
for (uint i = 0; i < parts; i++)
{
var part = shape.GetPart(i);
var pr = new Rectangle(part.X - offset, part.Y - offset, part.X + offset, part.Y + offset);
rects.Add(pr);
}
rects.Add(r);
}
// This test does NOT check whether output image and detect face area are correct
//Dlib.SaveJpeg(image, $"{Path.Combine(this.GetOutDir(type, testName), $"2008_001322_{input.Type}.jpg")}");
});
var failAction = new Action(() =>
{
Assert.True(false, $"{testName} should throw exception for InputType: {input.Type}.");
});
var finallyAction = new Action(() =>
{
this.DisposeAndCheckDisposedState(imageObj);
});
var exceptionAction = new Action(() =>
{
Console.WriteLine($"Failed to execute {testName} to InputType: {input.Type}.");
});
DoTest(outputImageAction, expectResult, successAction, finallyAction, failAction, exceptionAction);
}
}
public void DetectFace3()
{
if (this._FrontalFaceDetector == null)
{
Assert.True(false, "ShapePredictor is not initialized!!");
}
var faceDetector = this._FrontalFaceDetector;
const string testName = "DetectFace3";
var path = this.GetDataFile("Lenna_mini.bmp");
var tests = new[]
{
new { Type = MatrixElementTypes.RgbPixel, ExpectResult = true },
new { Type = MatrixElementTypes.UInt8, ExpectResult = true },
new { Type = MatrixElementTypes.UInt16, ExpectResult = true },
new { Type = MatrixElementTypes.UInt32, ExpectResult = true },
new { Type = MatrixElementTypes.Int8, ExpectResult = true },
new { Type = MatrixElementTypes.Int16, ExpectResult = true },
new { Type = MatrixElementTypes.Int32, ExpectResult = true },
new { Type = MatrixElementTypes.HsiPixel, ExpectResult = true },
new { Type = MatrixElementTypes.Float, ExpectResult = true },
new { Type = MatrixElementTypes.Double, ExpectResult = true },
new { Type = MatrixElementTypes.RgbAlphaPixel, ExpectResult = false }
};
foreach (var input in tests)
{
var expectResult = input.ExpectResult;
var imageObj = DlibTest.LoadImageAsMatrixHelp(input.Type, path);
Rectangle[] dets = null;
var outputImageAction = new Func <bool, Rectangle[]>(expect =>
{
dets = faceDetector.Operator(imageObj);
return(dets);
});
var successAction = new Action <Rectangle[]>(image =>
{
// This test does NOT check whether output image and detect face area are correct
//Dlib.SaveJpeg(image, $"{Path.Combine(this.GetOutDir(type, testName), $"2008_001322_{input.Type}.jpg")}");
});
var failAction = new Action(() =>
{
Assert.True(false, $"{testName} should throw exception for InputType: {input.Type}.");
});
var finallyAction = new Action(() =>
{
this.DisposeAndCheckDisposedState(imageObj);
});
var exceptionAction = new Action(() =>
{
Console.WriteLine($"Failed to execute {testName} to InputType: {input.Type}.");
});
DoTest(outputImageAction, expectResult, successAction, finallyAction, failAction, exceptionAction);
}
}
