Method ReadNetFromTensorflow

Reads a network model stored in Tensorflow model file.

public static Net? ReadNetFromTensorflow(string model, string? config = null, EngineType engine = EngineType.Auto)

model string: path to the .pb file with binary protobuf description of the network architecture
config string: path to the .pbtxt file that contains text graph definition in protobuf format.
engine EngineType: DNN engine to use. Auto tries the new engine first and falls back to the classic one.

Net: Resulting Net object is built by text graph using weights from a binary one that let us make it more flexible.

This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.

Reads a network model stored in Tensorflow model file from memory.

public static Net? ReadNetFromTensorflow(byte[] bufferModel, byte[]? bufferConfig = null, EngineType engine = EngineType.Auto)

bufferModel byte[]: buffer containing the content of the pb file
bufferConfig byte[]: buffer containing the content of the pbtxt file (optional)
engine EngineType: DNN engine to use. Auto tries the new engine first and falls back to the classic one.

This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.

Reads a network model stored in Tensorflow model file from stream.

public static Net? ReadNetFromTensorflow(Stream bufferModel, Stream? bufferConfig = null, EngineType engine = EngineType.Auto)

bufferModel Stream: buffer containing the content of the pb file
bufferConfig Stream: buffer containing the content of the pbtxt file (optional)
engine EngineType: DNN engine to use. Auto tries the new engine first and falls back to the classic one.

This is shortcut consisting from createTensorflowImporter and Net::populateNet calls.