/// <summary>
/// Constructs a new image classifier instance from the caffe model in memory.
/// </summary>
/// <param name="prototxt">
/// The prototxt data.
/// </param>
/// <param name="model">
/// The model data.
/// </param>
/// <param name="type">
/// The type of classifier to create.
/// </param>
/// <param name="mean">
/// The optional mean value for the supplied model. Internally, defaults to the predefined
/// mean for the built in models (resnet 50, squeezenet).
/// </param>
public ImageClassifier(byte[] prototxt, byte[] model, ClassifierType type, double[] mean = null)
{
IntPtr meanPtr = IntPtr.Zero;
if (mean != null)
{
switch (mean.Length)
{
case 3:
case 4:
{
}
break;
default:
{
throw new ArgumentException("Mean value, if supplied, must have a length of 3 or 4. BGR(A).");
}
}
meanPtr = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(double)) * mean.Length);
Marshal.Copy(mean, 0, meanPtr, mean.Length);
}
m_nativeObj = ImageClassifierPInvoke.classifier_create_from_memory(prototxt, prototxt.Length, model, model.Length, (byte)type, meanPtr);
if (meanPtr != IntPtr.Zero)
{
Marshal.FreeHGlobal(meanPtr);
}
if (m_nativeObj == IntPtr.Zero)
{
throw new Exception("Failed to allocate native classifier.");
}
}
