flutter_onnxruntime 1.4.3

A lightweight plugin that provides native wrappers for running ONNX Runtime on multiple platforms

example/README.md

flutter_onnxruntime_example

Simple Addition Model

To make a simple demo, we use an addition model with only single operation Add. The model takes two inputs and outputs the sum of the two inputs.

Model overview

Demo for inferencing with the model:

import 'package:flutter_onnxruntime/flutter_onnxruntime.dart';

// create inference session
final ort = OnnxRuntime();
final session = await ort.createSessionFromAsset('assets/models/addition_model.onnx');

// get the input and output names
final inputName1 = session.inputNames[0]; // A
final inputName2 = session.inputNames[1]; // B
final outputName = session.outputNames[0]; // C

// specify input with data and shape
final inputs = {
   inputName1: await OrtValue.fromList([1, 1, 1], [3]),
   inputName2: await OrtValue.fromList([2, 2, 2], [3])
}

// start the inference
final outputs = await session.run(inputs);

// print output data
print(await outputs[outputName]!.asList());

// Clean up tensor and resources
for (final tensor in inputs.values) {
    tensor.dispose();
}
for (final tensor in outputs.values) {
    tensor.dispose();
}
await session.close();

More examples

More examples could be found at flutter_onnxruntime_examples repo.