Real Time Object Detection in Flutter using camera and tflite Plugin

What is tflite?

A Tensorflow model is converted to a Tensorflow Lite flat buffer file using Tensorflow Lite Converter (. tflite). The client, which in our instance is a mobile device operating on iOS or Android or an embedded device, receives the Tensorflow Lite flat buffer file.

tflite is a 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.

To learn more Check A Flutter Plugin for Accessing TensorFlow Lite API, tflite.

What is camera?

To capture photographs and videos, several apps require you to use the device’s camera. For this purpose, Flutter provides a camera plugin. The camera plugin includes features such as a list of available cameras, a preview from a specific camera, and the ability to take images or videos.

flutter_realtime_detection

Real-time object detection in Flutter using camera and tflite plugin.

Install

flutter packages get

Run

flutter run

Models

  • Image Classification
    • MobileNet
  • Object Detection
    • SSD MobileNet
    • Yolov2 Tiny
  • Pose Estimation
    • PoseNet

Previews

Reference Article

For details: https://medium.com/@shaqian629/real-time-object-detection-in-flutter-b31c7ff9ef96

GitHub

Source Code: flutter_realtime_detection.

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