pytorch_mobile

Description:

pytorch mobile

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
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Run flutter pub get
Import the library #
import 'package:pytorch_mobile/pytorch_mobile.dart';
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Load model #
Either custom model:
Model customModel = await PyTorchMobile
.loadModel('assets/models/custom_model.pt');
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Or image model:
Model imageModel = await PyTorchMobile
.loadModel('assets/models/resnet18.pt');
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Get custom prediction #
List prediction = await customModel
.getPrediction([1, 2, 3, 4], [1, 2, 2], DType.float32);
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Get prediction for an image #
String prediction = await _imageModel
.getImagePrediction(image, 224, 224, "assets/labels/labels.csv");
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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);
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Contact #
[email protected]