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| Original file line number | Diff line number | Diff line change |
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| dlib_face_recognition_resnet_model_v1.dat | ||
| mmod_human_face_detector.dat | ||
| shape_predictor_5_face_landmarks.dat | ||
| shape_predictor_68_face_landmarks.dat |
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| Original file line number | Diff line number | Diff line change |
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| <Project Sdk="Microsoft.NET.Sdk"> | ||
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| <PropertyGroup> | ||
| <OutputType>Exe</OutputType> | ||
| <TargetFramework>netcoreapp2.0</TargetFramework> | ||
| <Authors>Takuya Takeuchi</Authors> | ||
| <Description>Example of FaceRecognitionDotNet</Description> | ||
| </PropertyGroup> | ||
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| <ItemGroup> | ||
| <PackageReference Include="Microsoft.Extensions.CommandLineUtils" Version="1.1.1" /> | ||
| <PackageReference Include="OpenCvSharp3-AnyCPU" Version="3.4.4.20181118" /> | ||
| </ItemGroup> | ||
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| <ItemGroup> | ||
| <ProjectReference Include="..\..\src\FaceRecognitionDotNet\FaceRecognitionDotNet.csproj" /> | ||
| </ItemGroup> | ||
|
|
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| </Project> |
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| using System; | ||
| using System.Collections.Generic; | ||
| using System.Linq; | ||
| using System.Runtime.InteropServices; | ||
| using FaceRecognitionDotNet; | ||
| using FaceRecognitionDotNet.Extensions; | ||
| using Microsoft.Extensions.CommandLineUtils; | ||
| using OpenCvSharp; | ||
| using Point = FaceRecognitionDotNet.Point; | ||
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| namespace BlinkDetection | ||
| { | ||
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| internal class Program | ||
| { | ||
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| #region Fields | ||
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| private const int EyesClosedSeconds = 5; | ||
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| #endregion | ||
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| #region Methods | ||
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| private static void Main(string[] args) | ||
| { | ||
| var app = new CommandLineApplication(false); | ||
| app.Name = nameof(BlinkDetection); | ||
| app.Description = "The program for blink detection demo"; | ||
| app.HelpOption("-h|--help"); | ||
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| app.OnExecute(() => | ||
| { | ||
| var closedCount = 0; | ||
| var process = true; | ||
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| using (var fr = FaceRecognition.Create("models")) | ||
| using (var videoCapture = new VideoCapture(0)) | ||
| { | ||
| fr.CustomEyeBlinkDetector = new EyeAspectRatioLargeEyeBlinkDetector(0.2, 0.2); | ||
|
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| while (true) | ||
| { | ||
| using (var frame = videoCapture.RetrieveMat()) | ||
| using (var smallFrame = new Mat()) | ||
| { | ||
| if (process) | ||
| { | ||
| //Cv2.Resize(frame, smallFrame, Size.Zero, 0.25, 0.25); | ||
| Cv2.Resize(frame, smallFrame, Size.Zero, 1, 1); | ||
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| var cols = smallFrame.Cols; | ||
| var rows = smallFrame.Rows; | ||
| var elems = smallFrame.ElemSize(); | ||
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|
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| // get the correct face landmarks | ||
| var bytes = new byte[rows * cols * elems]; | ||
| Marshal.Copy(smallFrame.Data, bytes, 0, bytes.Length); | ||
| using (var rgbSmallFrame = FaceRecognition.LoadImage(bytes, rows, cols, cols * elems, Mode.Rgb)) | ||
| { | ||
| var faceLandmarksList = fr.FaceLandmark(rgbSmallFrame).ToArray(); | ||
|
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| // get eyes | ||
| foreach (var faceLandmark in faceLandmarksList) | ||
| { | ||
| var leftEye = faceLandmark[FacePart.LeftEye].ToArray(); | ||
| var rightEye = faceLandmark[FacePart.RightEye].ToArray(); | ||
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| var color = new Scalar(255, 0, 0); | ||
| var thickness = 2; | ||
|
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| var lp = new OpenCvSharp.Point(leftEye[0].Point.X, leftEye[0].Point.Y); | ||
| var rp = new OpenCvSharp.Point(rightEye[rightEye.Length - 1].Point.X, rightEye[rightEye.Length - 1].Point.Y); | ||
| var l = Math.Min(lp.X, rp.X); | ||
| var r = Math.Max(lp.X, rp.X); | ||
| var t = Math.Min(lp.Y, rp.Y); | ||
| var b = Math.Max(lp.Y, rp.Y); | ||
| Cv2.Rectangle(smallFrame, new OpenCvSharp.Point(l, t), new OpenCvSharp.Point(r, b), color, thickness); | ||
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| Cv2.ImShow("Video", smallFrame); | ||
| Cv2.WaitKey(1); | ||
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| fr.EyeBlinkDetect(faceLandmark, out var leftBlink, out var rightBlink); | ||
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| var closed = leftBlink && rightBlink; | ||
|
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| if (closed) | ||
| closedCount += 1; | ||
| else | ||
| closedCount = 0; | ||
|
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| if (closedCount >= EyesClosedSeconds) | ||
| { | ||
| var asleep = true; | ||
| while (asleep) // continue this loop until they wake up and acknowledge music | ||
| { | ||
| Console.WriteLine("EYE CLOSED"); | ||
|
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| var key = Console.ReadKey(); | ||
|
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| if (key.Key == ConsoleKey.Spacebar) | ||
| asleep = false; | ||
| } | ||
|
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| closedCount = 0; | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
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| process = !process; | ||
| } | ||
| } | ||
| } | ||
|
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| return 0; | ||
| }); | ||
|
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| app.Execute(args); | ||
| } | ||
|
|
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| #endregion | ||
|
|
||
| } | ||
|
|
||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,32 @@ | ||
| # Blink Detection | ||
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| This example demonstrate detection of eye blink. | ||
| This sample program is ported by C# from https://github.com/ageitgey/face_recognition/blob/master/examples/blink_detection.py | ||
|
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| ## How to use? | ||
|
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| ## 1. Preparation | ||
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| This sample requires model files and webcam. | ||
|
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| ## 2. Build | ||
|
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| 1. Open command prompt and change to <BlinkDetection_dir> | ||
| 1. Type the following command | ||
| ```` | ||
| $ dotnet remove reference ../../src/FaceRecognitionDotNet\FaceRecognitionDotNet.csproj | ||
| $ dotnet add package FaceRecognitionDotNet | ||
| $ dotnet build -c Release | ||
| ```` | ||
|
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| ## 3. Run | ||
|
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| 1. Open command prompt and change to <BlinkDetection_dir> | ||
| 1. Type the following sample command | ||
| ```` | ||
| $ dotnet run -c Release | ||
| ```` | ||
| 1. CameraImage is shown after camera detect face | ||
| 1. Blue rectangle is drawn if syes are detected | ||
| 1. Program will be paused if eyes are closing on 5 sec | ||
| 1. User can restart program by push space button if program is paused |
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