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A Flutter plugin for inference of Pytorch models (https://pub.dev/packages/torch_mobile). Supports image classification on Android.

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jmarichez/flutter_torch_mobile

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torch_mobile

A Flutter plugin for inference of Pytorch models.

Note: This plugin is still under development, only image classification models are supported for the moment.

Installation

First, add torch_mobile as a dependency in your pubspec.yaml file.

iOS

Not implemented yet

Android

No configuration required - the plugin should work out of the box.

Usage

Create a assets folder with pytorch model and labels file and model file in it. Modify pubspec.yaml accordingly.

  assets:
   - assets/model.pt
   - assets/labels.txt

Import the library

import 'package:torch_mobile/torch_mobile.dart';

Load model and labels

TorchMobile.loadModel(model: 'assets/model.pt', labels: 'assets/labels.txt');

Get prediction for image

String prediction = await TorchMobile.getPrediction(image, maxWidth: 400, maxHeight: 400);

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A Flutter plugin for inference of Pytorch models (https://pub.dev/packages/torch_mobile). Supports image classification on Android.

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