pytorch_mobile #

A flutter plugin for pytorch model inference, supported both for Android and iOS.

Usage #

Installation #

To use this plugin, add pytorch_mobile as a dependency in your pubspec.yaml file.

Create a assets folder with your pytorch model and labels if needed. Modify pubspec.yaml accoringly.

assets:
 - assets/models/model.pt
 - assets/labels.csv

Run flutter pub get

Import the library #

import 'package:pytorch_mobile/pytorch_mobile.dart';

Load model #

Either custom model:

Model customModel = await PyTorchMobile
        .loadModel('assets/models/custom_model.pt');

Or image model:

Model imageModel = await PyTorchMobile
        .loadModel('assets/models/resnet18.pt');

Get custom prediction #

List prediction = await customModel
        .getPrediction([1, 2, 3, 4], [1, 2, 2], DType.float32);

Get prediction for an image #

String prediction = await _imageModel
        .getImagePrediction(image, 224, 224, "assets/labels/labels.csv");

Image prediction for an image with custom mean and std #

final mean = [0.5, 0.5, 0.5];
final std = [0.5, 0.5, 0.5];
String prediction = await _imageModel
        .getImagePrediction(image, 224, 224, "assets/labels/labels.csv", mean: mean, std: std);

Contact #

[email protected]