https://github.com/protheeuz/tflite-classification-flutter

https://github.com/protheeuz/tflite-classification-flutter

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/protheeuz/tflite-classification-flutter
• Owner: protheeuz
• License: bsd-3-clause
• Created: 2023-08-21T01:58:35.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-21T02:04:46.000Z (over 1 year ago)
• Last Synced: 2023-08-21T03:22:35.147Z (over 1 year ago)
• Language: Dart
• Size: 18.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


# FlutterTFLite

The main goal of this project is to show an example of tensorflow lite integrated in a flutter application that classifies images in real time.

## Getting Started

This project is a Flutter application.

A few resources to get you started if this is your first Flutter project:

- [Lab: Write your first Flutter app](https://flutter.dev/docs/get-started/codelab)

- [Cookbook: Useful Flutter samples](https://flutter.dev/docs/cookbook)

For help getting started with Flutter, view our

[online documentation](https://flutter.dev/docs), which offers tutorials,

samples, guidance on mobile development, and a full API reference.

## tflite

tflite is Flutter plugin for accessing TensorFlow Lite API. Supports image classification, object detection (SSD and YOLO), Pix2Pix and Deeplab and PoseNet on both iOS and Android.

## FlutterTFLite

FlutterTFLite are a set of machine learning pre-trained models for mobile and embedded vision applications. MobileNets

are based on a streamlined architecture that uses depthwise separable convolutions to build light weight deep

neural networks.

## Licence

BSD 3-Clause License