public Recognition(byte[] dat, BBaseContext context)
{
float[] f_data = new float[dat.Length];
for (int i = 0; i < dat.Length; ++i)
{
float buf = (float)dat[i];
f_data[i] = buf / 255.0f;
}
this.f_data = f_data;
this.b_data = dat;
baseContext = context;
}
public int Run_For_File(string file, string model_path, int[] dimentions)
{
byte[] byte_im = b_data;
using (BBaseContext db = new BBaseContext())
{
var answer = db.Blobs.Where(p => p.File_Name == file).FirstOrDefault();
if (answer != null)
{
var im = answer.Image;
if (im.SequenceEqual(byte_im))
{
return(answer.Answer);
}
}
}
var session = new InferenceSession(model_path);
var inputMeta = session.InputMetadata;
var inputs = new List <NamedOnnxValue>();
foreach (var name in inputMeta.Keys)
{
Add_File(inputs, dimentions, name);
}
var results = session.Run(inputs);
foreach (var result in results)
{
var arr = result.AsEnumerable <float>().ToArray();
var expected_cl = Most_Possible_Result(arr);
using (BBaseContext db = new BBaseContext())
{
db.Blobs.Add(new ImgBloB {
Answer = expected_cl, File_Name = file, Image = byte_im
});
db.SaveChanges();
}
return(expected_cl);
}
return(-1);
}
public RecognitionController(BBaseContext context)
{
this.db = context;
}
