public FullStackFaceInfo[] Process(SpanBitmap srcImage)
{
var workingTensor = _Session.UseInputTensor <Byte>(0, srcImage.Height, srcImage.Width, 3)
.AsSpanTensor3()
.UpCast <Pixel.RGB24>();
workingTensor.AsSpanBitmap().AsTypeless().SetPixels(0, 0, srcImage);
_Session.Inference();
var scores = _Session.GetOutputTensor <float>(0).VerifyName(n => n == "scores").AsSpanTensor1();
var bboxes = _Session.GetOutputTensor <Int64>(1).VerifyName(n => n == "bboxes").AsSpanTensor2();
var kpss = _Session.GetOutputTensor <Int64>(2).VerifyName(n => n == "kpss").AsSpanTensor3();
var align_imgs = _Session.GetOutputTensor <byte>(3).VerifyName(n => n == "align_imgs").AsSpanTensor4().UpCast <Pixel.BGR24>();
var lmks = _Session.GetOutputTensor <Int64>(4).VerifyName(n => n == "lmks").AsSpanTensor3();
var M = _Session.GetOutputTensor <float>(5).VerifyName(n => n == "M").AsSpanTensor3().UpCast <System.Numerics.Vector3>();
return(FullStackFaceInfo.Parse(scores, bboxes, align_imgs, lmks));
}
// https://github.com/atksh/onnx-facial-lmk-detector
public static FullStackFaceInfo[] Parse(SpanTensor1 <float> scores, SpanTensor2 <Int64> bboxes, SpanTensor3 <Pixel.BGR24> align_imgs, SpanTensor3 <Int64> lmks)
{
var result = new FullStackFaceInfo[scores.Dimensions[0]];
for (int i = 0; i < scores.Dimensions[0]; ++i)
{
result[i].Score = scores[i];
var bbox = bboxes[i];
result[i].BoundingBox = new System.Drawing.Rectangle((int)bbox[0], (int)bbox[1], (int)bbox[2], (int)bbox[3]);
MemoryBitmap <Pixel.BGR24> bmp = default;
align_imgs[i].AsTensorBitmap(Tensors.Imaging.ColorEncoding.RGB).CopyTo(ref bmp);
result[i].AlignedImage = bmp;
var lmarks = lmks[i].ToArray();
}
return(result);
}