public byte[] FaceExtract(IntPtr pRecognizer, byte[] imageBytes, bool isCropped)
{
CSResultVal retVal = new CSResultVal();
byte[] embedding = new byte[2048];
ResultCode extraction = FaceExtraction(pRecognizer, imageBytes, imageBytes.Length, retVal, embedding, 2048, isCropped);
if (extraction.Equals(ResultCode.SUCCESS))
{
/*List<FaceCache> faceCaches = new List<FaceCache>();
* faceCaches.Add(new FaceCache { No = 1, Value = embedding });
* _cache.Set("Face", faceCaches);
* if (!_cache.TryGetValue("Face", out faceCaches))
* {
* faceCaches.Add(new FaceCache { No = 2, Value = embedding });
* }
*
* // 메모리에 등록
* _cache.Set("Face", faceCaches);*/
}
//Console.WriteLine(embedding);
return(embedding);
}
public byte[] FaceDetectionTest(IntPtr pRecognizer, byte[] imageBytes)
{
CSResultVal resultVal = new CSResultVal();
int resultSize = Marshal.SizeOf(typeof(CSResultVal));
IntPtr resultPtr = Marshal.AllocHGlobal(resultSize);
Marshal.StructureToPtr(resultVal, resultPtr, false);
ResultCode detection = FaceDetection(pRecognizer, imageBytes, imageBytes.Length, resultPtr);
CSResultVal result = new CSResultVal();
result = (CSResultVal)Marshal.PtrToStructure(resultPtr, typeof(CSResultVal));
var width = result.r - result.l;
var height = result.b - result.t;
if (result.confidence > 0.6 && result.l > 100)
{
// Result Confidence 비교
// Result Rect 비교
MemoryStream ms = new MemoryStream(imageBytes);
Image sourceImage = Image.FromStream(ms);
Rectangle rectangle = new Rectangle(result.l, result.t, width, height);
using (Bitmap targetImage = new Bitmap(width, height, PixelFormat.Format24bppRgb))
{
using (Graphics graphics = Graphics.FromImage(targetImage))
{
graphics.CompositingMode = CompositingMode.SourceCopy;
graphics.CompositingQuality = CompositingQuality.HighQuality;
graphics.InterpolationMode = InterpolationMode.HighQualityBicubic;
graphics.SmoothingMode = SmoothingMode.HighQuality;
graphics.PixelOffsetMode = PixelOffsetMode.HighQuality;
ImageCodecInfo myImageCodecInfo;
myImageCodecInfo = GetEncoderInfo("image/jpeg");
System.Drawing.Imaging.Encoder myEncoder;
EncoderParameter myEncoderParameter;
EncoderParameters myEncoderParameters;
myEncoder = System.Drawing.Imaging.Encoder.Quality;
myEncoderParameters = new EncoderParameters(1);
myEncoderParameter = new EncoderParameter(myEncoder, 50L);
myEncoderParameters.Param[0] = myEncoderParameter;
graphics.DrawImage(sourceImage, 0, 0, rectangle, GraphicsUnit.Pixel);
MemoryStream targetMS = new MemoryStream();
targetImage.Save(targetMS, myImageCodecInfo, myEncoderParameters);
targetImage.Save("E:\\CUBOX\\Private\\CSharp\\FaceAlgorismTestConsole\\bin\\Debug\\netcoreapp3.1\\test\\cropped.jpg", myImageCodecInfo, myEncoderParameters);
byte[] resultImage = targetMS.ToArray();
return(resultImage);
/*graphics.DrawImage(sourceImage, 0, 0, rectangle, GraphicsUnit.Pixel);
* targetImage.Save("E:\\CUBOX\\Private\\CSharp\\FaceAlgorismTestConsole\\bin\\Debug\\netcoreapp3.1\\test\\cropped.jpg", myImageCodecInfo, myEncoderParameters);
* Image thumbnail = targetImage.GetThumbnailImage(100, 100, null, IntPtr.Zero);
* thumbnail.Save("E:\\CUBOX\\Private\\CSharp\\FaceAlgorismTestConsole\\bin\\Debug\\netcoreapp3.1\\test\\resize.jpg", myImageCodecInfo, myEncoderParameters);
* MemoryStream ms1 = new MemoryStream(resultImage, 0, resultImage.Length);
* thumbnail.Save(ms1, ImageFormat.Bmp);
* resultImage = ms1.ToArray();*/
}
}
}
Marshal.FreeHGlobal(resultPtr);
return(null);
}
public static extern ResultCode FaceExtraction(IntPtr pRecognizer, byte[] jpgData, long imageLen, CSResultVal retValue, byte[] embedding, int size, bool isCropped);