Flutter + TensorRT/ONNX Edge Inference: Keep Tensor Work Outside Widgets
by vmodal_ai dev.to
1 min read
Flutter is suited to presenting model outputs and operator workflows. Heavy tensor execution, GPU memory management, and device-specific inference are usually better isolated behind a native or network service boundary. Define a narrow inference contract Expose inputs and outputs in a documented schema. Keep tensor layouts, accelerator initialization, and backend-specific errors inside the infere…
More like this
- Article 19 min read
Dart 2.3.0
The Dart SDK, including the VM, dart2js, core libraries, and more.
Read on github.com
Article 19 min readIn-App Purchases with Flutter: A Comprehensive Step-by-Step tutorial
by Mat
After my previous article on how to add payment gateway capabilities to your next Flutter app, I’m back today to show you how to add…
Read on medium.com
Article 15 min readHow to Build a Simple Weather App in Flutter
by @dragosholban
Hello! In the last few weeks I started reading about and testing Flutter, the new mobile SDK from Google, that let’s you build for both Android and iOS at the same time (similar to React Native). In t...
Read on dragosholban.com- Package
fluttervn/super_widgets
Make Flutter widgets' code shorter and richer by combining multiple widgets into a single widget but the single one will inherit almost properties of all original widgets.
View on github.com