Overview
A Flutter plugin enabling PyTorch model inference on mobile devices, supporting both image models and custom-trained models. It allows developers to integrate machine learning capabilities directly into Flutter apps for Android and iOS. The plugin provides a bridge between Dart and PyTorch Mobile, facilitating efficient on-device inference without relying on cloud services. Ideal for real-time processing in applications like object detection, image classification, and custom AI workflows.
Use cases
- On-device image classification
- Real-time object detection
- Custom model deployment in mobile apps
- Offline AI inference
- Mobile OCR integration
Key features
- Supports Android and iOS
- Integrates with PyTorch Mobile
- Enables offline inference
- Handles image and custom models
- Lightweight and efficient
Suitable for
- Mobile ML developers
- App builders needing on-device AI
- Projects requiring privacy-preserving inference
- Apps with limited internet access
Considerations
- Requires model conversion to TorchScript
- Limited to inference (not training)
- Model size impacts app bundle
- Needs platform-specific setup
- No built-in model management