feet: add FaceRecognition.CropFaces and Image.Save method

README.md

@@ -39,6 +39,7 @@ This package supports cross platform, Windows, Linux and MacOSX!!
 |face_landmarks|FaceLandmarks|And support **Helen dataset** :warning:|
 |face_locations|FaceLocations||
 |load_image_file|LoadImageFile||
+|-|CropFaces|Crop image with specified locations|
 |-|LoadImage|From memory data|
 |-|PredictAge|Use **Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset** :warning:|
 |-|PredictGender|Use **UTKFace dataset** :warning:|

src/FaceRecognitionDotNet/FaceRecognition.cs

@@ -216,6 +216,53 @@ public static FaceRecognition Create(string directory)
             return new FaceRecognition(directory);
         }
 
+        /// <summary>
+        /// Crop a specified image with enumerable collection of face locations.
+        /// </summary>
+        /// <param name="image">The image contains a face.</param>
+        /// <param name="locations">The enumerable collection of location rectangle for faces.</param>
+        /// <returns></returns>
+        /// <exception cref="ArgumentNullException"><paramref name="image"/> or <paramref name="locations"/> is null.</exception>
+        /// <exception cref="ObjectDisposedException"><paramref name="image"/> is disposed.</exception>
+        public static IEnumerable<Image> CropFaces(Image image, IEnumerable<Location> locations)
+        {
+            if (image == null) 
+                throw new ArgumentNullException(nameof(image));
+            if (locations == null) 
+                throw new ArgumentNullException(nameof(locations));
+
+            image.ThrowIfDisposed();
+
+            foreach (var location in locations)
+            {
+                var rect = new Rectangle(location.Left, location.Top, location.Right, location.Bottom);
+                var dPoint = new[]
+                {
+                    new DPoint(rect.Left, rect.Top),
+                    new DPoint(rect.Right, rect.Top),
+                    new DPoint(rect.Left, rect.Bottom),
+                    new DPoint(rect.Right, rect.Bottom),
+                };
+
+                var width = (int)rect.Width;
+                var height = (int)rect.Height;
+
+                switch (image.Mode)
+                {
+                    case Mode.Rgb:
+                        var rgb = image.Matrix as Matrix<RgbPixel>;
+                        yield return new Image(DlibDotNet.Dlib.ExtractImage4Points(rgb, dPoint, width, height),
+                                               Mode.Rgb);
+                        break;
+                    case Mode.Greyscale:
+                        var gray = image.Matrix as Matrix<byte>;
+                        yield return new Image(DlibDotNet.Dlib.ExtractImage4Points(gray, dPoint, width, height),
+                                               Mode.Rgb);
+                        break;
+                }
+            }
+        }
+
         /// <summary>
         /// Compare a face encoding to a known face encoding and get a euclidean distance for comparison face.
         /// </summary>

src/FaceRecognitionDotNet/Image.cs

@@ -1,4 +1,5 @@
 using System;
+using System.IO;
 using DlibDotNet;
 
 namespace FaceRecognitionDotNet
@@ -62,6 +63,35 @@ public int Width
 
         #region Methods
 
+        /// <summary>
+        /// Saves this <see cref="Image"/> to the specified file.
+        /// </summary>
+        /// <param name="filename">A string that contains the name of the file to which to save this <see cref="Image"/>.</param>
+        /// <param name="format">The <see cref="ImageFormat"/> for this <see cref="Image"/>.</param>
+        /// <exception cref="ArgumentNullException"><paramref name="filename"/> is null.</exception>
+        public void Save(string filename, ImageFormat format)
+        {
+            if (filename == null) 
+                throw new ArgumentNullException(nameof(filename));
+
+            var directory = Path.GetDirectoryName(filename);
+            if (!Directory.Exists(directory) && !string.IsNullOrWhiteSpace(directory))
+                Directory.CreateDirectory(directory);
+
+            switch (format)
+            {
+                case ImageFormat.Bmp:
+                    DlibDotNet.Dlib.SaveBmp(this._Matrix, filename);
+                    break;
+                case ImageFormat.Jpeg:
+                    DlibDotNet.Dlib.SaveJpeg(this._Matrix, filename);
+                    break;
+                case ImageFormat.Png:
+                    DlibDotNet.Dlib.SavePng(this._Matrix, filename);
+                    break;
+            }
+        }
+
         #region Overrides 
 
         /// <summary>

src/FaceRecognitionDotNet/ImageFormat.cs

@@ -0,0 +1,27 @@
+namespace FaceRecognitionDotNet
+{
+
+    /// <summary>
+    /// Specifies the file format of the image.
+    /// </summary>
+    public enum ImageFormat
+    {
+
+        /// <summary>
+        /// Specifies that the bitmap (BMP) image format.
+        /// </summary>
+        Bmp,
+
+        /// <summary>
+        /// Specifies that the Joint Photographic Experts Group (JPEG) image format.
+        /// </summary>
+        Jpeg,
+
+        /// <summary>
+        /// Specifies that the W3C Portable Network Graphics (PNG) image format.
+        /// </summary>
+        Png,
+
+    }
+
+}

test/FaceRecognitionDotNet.Tests/FaceRecognitionTest.cs

@@ -229,6 +229,44 @@ public void CompareFacesTrue()
                 Assert.True(false, "Assert check did not execute");
         }
 
+        [Fact]
+        public void CropFaces()
+        {
+            const string testName = nameof(this.CropFaces);
+
+            var path = Path.Combine(ImageDirectory, TwoPersonFile);
+            if (!File.Exists(path))
+            {
+                var binary = new HttpClient().GetByteArrayAsync($"{TwoPersonUrl}/{TwoPersonFile}").Result;
+
+                Directory.CreateDirectory(ImageDirectory);
+                File.WriteAllBytes(path, binary);
+            }
+
+            foreach (var mode in new[] { Mode.Rgb, Mode.Greyscale })
+            {
+                using (var image = FaceRecognition.LoadImageFile(path, mode))
+                {
+                    var locations = this._FaceRecognition.FaceLocations(image).ToArray();
+                    Assert.True(locations.Length == 2, $"{mode}");
+
+                    var images = FaceRecognition.CropFaces(image, locations).ToArray();
+                    for (var index = 1; index <= images.Length; index++)
+                    {
+                        var croppedImage = images[index - 1];
+
+                        var directory = Path.Combine(ResultDirectory, testName);
+                        Directory.CreateDirectory(directory);
+
+                        var dst = Path.Combine(directory, $"{mode}-{index}.jpg");
+                        croppedImage.Save(dst, ImageFormat.Jpeg);
+
+                        croppedImage.Dispose();
+                    }
+                }
+            }
+        }
+
         [Fact]
         public void CreateFail1()
         {
@@ -1734,7 +1772,7 @@ private void FaceLandmark(string testName, PredictorModel model, bool useKnownLo
                                 Directory.CreateDirectory(directory);
 
                                 var dst = Path.Combine(directory, $"{facePart}-{mode}-known_{useKnownLocation}.bmp");
-                                bitmap.Save(dst, ImageFormat.Bmp);
+                                bitmap.Save(dst, System.Drawing.Imaging.ImageFormat.Bmp);
                             }
                         }
 
@@ -1752,7 +1790,7 @@ private void FaceLandmark(string testName, PredictorModel model, bool useKnownLo
                         Directory.CreateDirectory(directory);
 
                         var dst = Path.Combine(directory, $"All-{mode}-known_{useKnownLocation}.bmp");
-                        bitmap.Save(dst, ImageFormat.Bmp);
+                        bitmap.Save(dst, System.Drawing.Imaging.ImageFormat.Bmp);
                     }
                 }
             }
@@ -1786,7 +1824,7 @@ private void FaceLocation(string testName, int numberOfTimesToUpsample, Model mo
                         Directory.CreateDirectory(directory);
 
                         var dst = Path.Combine(directory, $"All-{mode}-{numberOfTimesToUpsample}.bmp");
-                        bitmap.Save(dst, ImageFormat.Bmp);
+                        bitmap.Save(dst, System.Drawing.Imaging.ImageFormat.Bmp);
                     }
                 }
             }

test/FaceRecognitionDotNet.Tests/ImageText.cs

@@ -0,0 +1,43 @@
+using System.IO;
+using Xunit;
+
+namespace FaceRecognitionDotNet.Tests
+{
+
+    public class ImageTest
+    {
+
+        #region Fields
+
+        private const string ResultDirectory = "Result";
+
+        #endregion
+
+        [Fact]
+        public void Save()
+        {
+            const string testName = nameof(this.Save);
+
+            var targets = new[]
+            {
+                new { Name = "saved.bmp", Format = ImageFormat.Bmp },
+                new { Name = "saved.jpg", Format = ImageFormat.Jpeg },
+                new { Name = "saved.png", Format = ImageFormat.Png },
+            };
+
+            using (var img = FaceRecognition.LoadImageFile(Path.Combine("TestImages", "obama.jpg")))
+            {
+                var directory = Path.Combine(ResultDirectory, testName);
+                Directory.CreateDirectory(directory);
+
+                foreach (var target in targets)
+                {
+                    var path = Path.Combine(directory, target.Name);
+                    img.Save(path, target.Format);
+                }
+            }
+        }
+
+    }
+
+}

tools/HelenTraining/Program.cs

@@ -10,6 +10,7 @@
 using DlibDotNet;
 using FaceRecognitionDotNet;
 using Microsoft.Extensions.CommandLineUtils;
+using ImageFormat = System.Drawing.Imaging.ImageFormat;
 using Point = DlibDotNet.Point;
 
 namespace HelenTraining