static ndarray <float> PrepareImage(byte[,,] image)
{
int height = image.GetLength(0);
int width = image.GetLength(1);
int channels = image.GetLength(2);
var normalized = ImageTools.NormalizeChannelValue(image.ToNumPyArray());
var flattened = normalized.reshape(new[] { height *width, channels }).astype(np.float32_fn);
return((ndarray <float>)flattened);
}
static Tensor ClampToValidChannelValueRange(Tensor input)
=> tf.clip_by_value(input,
clip_value_min: ImageTools.NormalizeChannelValue(-0.01f),
clip_value_max: ImageTools.NormalizeChannelValue(255.01f));