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.
This project is a Flutter application.
A few resources to get you started if this is your first Flutter project:
For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.
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.
MobileNets 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.
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Copyright (c) 2020, Marcos Carlomagno All rights reserved.
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