https://github.com/ctkqiang/emotiondetectionfirebacemlkit

https://github.com/ctkqiang/emotiondetectionfirebacemlkit

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/ctkqiang/emotiondetectionfirebacemlkit
• Owner: ctkqiang
• Created: 2020-01-30T03:58:31.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-30T04:05:43.000Z (about 5 years ago)
• Last Synced: 2023-11-12T12:39:27.987Z (about 1 year ago)
• Language: Java
• Size: 3.27 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
ML Kit for Firebase Quickstart

==============================

The ML Kit for Firebase Android Quickstart app demonstrates how to use the

various features of ML Kit to add machine learning to your application.

Introduction

------------

- [Read more about ML Kit for Firebase](https://firebase.google.com/docs/ml-kit/)

Getting Started

---------------

- [Add Firebase to your Android Project](https://firebase.google.com/docs/android/setup).

- Run the sample on an Android device.

- Choose LivePreviewActivity to see a demo of the following APIs:

  - Face detection

  - Text recognition (on-device)

  - Barcode scanning

  - Image labeling (on-device)

  - Landmark recognition

- Choose StillImageActivity to see a demo of the following:

  - Image labeling (Cloud)

  - Landmark recognition (Cloud)

  - Text recognition (Cloud)

  - Document text recognition (Cloud)

Result

-----------



Support

-------

- [Stack Overflow](https://stackoverflow.com/questions/tagged/mlkit)

- [Firebase Support](https://firebase.google.com/support/).

License

-------

Copyright 2018 Google, Inc.

Licensed to the Apache Software Foundation (ASF) under one or more contributor

license agreements.  See the NOTICE file distributed with this work for

additional information regarding copyright ownership.  The ASF licenses this

file to you under the Apache License, Version 2.0 (the "License"); you may not

use this file except in compliance with the License.  You may obtain a copy of

the License at

  http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS, WITHOUT

WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  See the

License for the specific language governing permissions and limitations under

the License.