Пример #1
0
        public static TFTensor TensorFromBitmap(Bitmap image, ImageDims dims)
        {
            int   INPUT_SIZE = dims.InputSize;
            int   IMAGE_MEAN = dims.ImageMean;
            float IMAGE_STD  = dims.ImageStd;

            var bitmap = new Bitmap(image, INPUT_SIZE, INPUT_SIZE);

            Color[] colors = new Color[bitmap.Size.Width * bitmap.Size.Height];

            int z = 0;

            for (int y = bitmap.Size.Height - 1; y >= 0; y--)
            {
                for (int x = 0; x < bitmap.Size.Width; x++)
                {
                    colors[z] = bitmap.GetPixel(x, y);
                    z++;
                }
            }

            float[] floatValues = new float[(INPUT_SIZE * INPUT_SIZE) * 3];
            for (int i = 0; i < colors.Length; i++)
            {
                var color = colors[i];

                floatValues[i * 3]     = (color.R - IMAGE_MEAN) / IMAGE_STD;
                floatValues[i * 3 + 1] = (color.G - IMAGE_MEAN) / IMAGE_STD;
                floatValues[i * 3 + 2] = (color.B - IMAGE_MEAN) / IMAGE_STD;
            }

            TFShape shape = new TFShape(1, INPUT_SIZE, INPUT_SIZE, 3);

            return(TFTensor.FromBuffer(shape, floatValues, 0, floatValues.Length));
        }
Пример #2
0
        ///<summary>
        ///<param>Model graph</param>
        ///<param>Model labels</param>
        ///<param>Base module used for training</param>
        ///<param>Model SDK version</param>
        ///</summary>
        public CoachModel(TFGraph graph, string[] labels, string module, float coachVersion)
        {
            if (COACH_VERSION != coachVersion)
            {
                throw new Exception($"Coach model v{coachVersion} incompatible with SDK version {COACH_VERSION}");
            }

            this.Graph  = graph;
            this.Labels = labels;

            this.Session = new TFSession(this.Graph);

            int size = int.Parse(module.Substring(module.Length - 3, 3));

            this.ImageDims = new ImageDims(size, 0, 255);
        }
Пример #3
0
        private static Tensor ToTensor(this Texture2D tex, ImageDims dims)
        {
            var pic = tex.GetPixels32();

            int   INPUT_SIZE = dims.InputSize;
            int   IMAGE_MEAN = dims.ImageMean;
            float IMAGE_STD  = dims.ImageStd;

            float[] floatValues = new float[(INPUT_SIZE * INPUT_SIZE) * 3];

            for (int i = 0; i < pic.Length; i++)
            {
                var color = pic[i];

                floatValues[i * 3]     = (color.r - IMAGE_MEAN) / IMAGE_STD;
                floatValues[i * 3 + 1] = (color.g - IMAGE_MEAN) / IMAGE_STD;
                floatValues[i * 3 + 2] = (color.b - IMAGE_MEAN) / IMAGE_STD;
            }

            var shape = new TensorShape(1, INPUT_SIZE, INPUT_SIZE, 3);

            return(new Tensor(shape, floatValues));
        }
Пример #4
0
 public static Tensor TensorFromTexture(Texture2D image, ImageDims dims)
 {
     image = image.Scale(dims.InputSize, dims.InputSize);
     return(image.ToTensor(dims));
 }