An example application for our react-native-tensorio package that shows how to use a computer vision model for TensorFlow Lite and TensorIO inside a React Native application.
DEPRECATED
See instead:
https://github.com/doc-ai/react-native-tensorio-tflite
https://github.com/doc-ai/react-native-tensorio-tensorflow
Learn More
Read more about TensorFlow Lite
In the root directory:
- Install dependencies:
npm install
In the iOS directory:
- Install CocoaPods:
gem install cocoapods - Install Pods:
pod install - Launch:
open TensorIOExample.xcworkspace
Android support is forthcoming.
Initialize the application and install the required packages:
$ react-native init TensorIOExample
$ npm install react-native-tensorio
$ npm install react-native-image-picker
$ react-native linkIf react-native link does not successfully link the installed packages, manually link them.
Install cocoapods if you do not already have it. Initialize a podfile and add the TensorIO dependency:
$ cd ios
$ pod init
# add dependencies (see Podfile)
$ pod installFrom this point on build and run the application from the TensorIOExample.xcworkspace project file instead of TensorIOExample.xcodeproj.
Update App.js (see App.js).
Open TensorIOExample.xcworkspace and add the image-classification.tfbundle folder to it (see ios/image-classification.tfbundle). This is a TensorFlow Lite image classification model that has been packaged into a TensorIO bundle.
Run the app. If you would like to run the application on a physical device you will probably need to update your code signing identities.