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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| using System; | ||
| using System.Collections.Generic; | ||
| using System.Drawing; | ||
| using System.Linq; | ||
| using System.Runtime.InteropServices; | ||
| using System.Text; | ||
| using System.Threading.Tasks; | ||
| using Emgu.CV; | ||
| using Emgu.CV.Dnn; | ||
| using Emgu.CV.Face; | ||
| using Emgu.CV.Structure; | ||
| using Emgu.CV.Util; | ||
| namespace XBF | ||
| { | ||
| public class Analyzer | ||
| { | ||
| public List<Rectangle> getFaceRegions(Mat img, String ssdProtoFile, String ssdFile, int imgDim = 300) | ||
| { | ||
| Emgu.CV.Dnn.Net net = DnnInvoke.ReadNetFromCaffe(ssdProtoFile, ssdFile); | ||
| MCvScalar meanVal = new MCvScalar(104, 177, 123); | ||
| Mat inputBlob = DnnInvoke.BlobFromImage(img, 1.0, new Size(imgDim, imgDim), meanVal, false, false); | ||
| net.SetInput(inputBlob, "data"); | ||
| Mat detection = net.Forward("detection_out"); | ||
|
|
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| float confidenceThreshold = 0.5f; | ||
|
|
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| List<Rectangle> faceRegions = new List<Rectangle>(); | ||
|
|
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| int[] dim = detection.SizeOfDimemsion; | ||
| int step = dim[3] * sizeof(float); | ||
| IntPtr start = detection.DataPointer; | ||
| for (int i = 0; i < dim[2]; i++) | ||
| { | ||
| float[] values = new float[dim[3]]; | ||
| Marshal.Copy(new IntPtr(start.ToInt64() + step * i), values, 0, dim[3]); | ||
| float confident = values[2]; | ||
|
|
||
| if (confident > confidenceThreshold) | ||
| { | ||
| float xLeftBottom = values[3] * img.Cols; | ||
| float yLeftBottom = values[4] * img.Rows; | ||
| float xRightTop = values[5] * img.Cols; | ||
| float yRightTop = values[6] * img.Rows; | ||
| RectangleF objectRegion = new RectangleF(xLeftBottom, yLeftBottom, xRightTop - xLeftBottom, yRightTop - yLeftBottom); | ||
| Rectangle faceRegion = Rectangle.Round(objectRegion); | ||
| faceRegions.Add(faceRegion); | ||
|
|
||
| } | ||
| } | ||
| return faceRegions; | ||
| } | ||
| } | ||
| } |
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