/// <summary>
/// Reads a network model stored in Tensorflow model file from stream.
/// </summary>
/// <param name="bufferModel">buffer containing the content of the pb file</param>
/// <param name="bufferConfig">buffer containing the content of the pbtxt file (optional)</param>
/// <returns></returns>
/// <remarks>This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.</remarks>
public static Net?ReadNetFromTensorflow(Stream bufferModel, Stream?bufferConfig = null)
{
if (bufferModel == null)
{
throw new ArgumentNullException(nameof(bufferModel));
}
return(Net.ReadNetFromTensorflow(
bufferModel.StreamToArray(),
bufferConfig?.StreamToArray()));
}
/// <summary>
/// Reads a network model stored in Tensorflow model file from memory.
/// </summary>
/// <param name="modelData">An array containing the data of a Tensorflow model</param>
/// <param name="configData">An array contaiing the data of the pbtxt file (optional)</param>
/// <returns></returns>
/// <remarks>This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.</remarks>
public static Net ReadNetFromTensorflow(byte[] modelData, byte[] configData = null)
{
if (modelData == null)
{
throw new ArgumentNullException(nameof(modelData));
}
if (modelData.Length > int.MaxValue)
{
throw new ArgumentException("Not supported array (too long)");
}
return(Net.ReadNetFromTensorflow(modelData, configData));
}
/// <summary>
/// Reads a network model stored in Tensorflow model file.
/// </summary>
/// <param name="model"></param>
/// <param name="config"></param>
/// <returns></returns>
/// <remarks>This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.</remarks>
public static Net ReadNetFromTensorflow(string model, string?config = null)
{
return(Net.ReadNetFromTensorflow(model, config));
}
/// <summary>
/// Reads a network model stored in Tensorflow model file from memory.
/// </summary>
/// <param name="bufferModel">buffer containing the content of the pb file</param>
/// <param name="bufferConfig">buffer containing the content of the pbtxt file (optional)</param>
/// <returns></returns>
/// <remarks>This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.</remarks>
public static Net?ReadNetFromTensorflow(byte[] bufferModel, byte[]?bufferConfig = null)
{
return(Net.ReadNetFromTensorflow(bufferModel, bufferConfig));
}