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); } }