https://github.com/antoniostipic/cordova-ml-kit

Implements Firebase ML Kit as Cordova plugin on iOS and Android.
https://github.com/antoniostipic/cordova-ml-kit

cordova cordova-plugin firebase image-labeling ionic ionic-framework ml-kit ml-kit-for-firebase text-recognition

Last synced: about 2 months ago
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Implements Firebase ML Kit as Cordova plugin on iOS and Android.

• Host: GitHub
• URL: https://github.com/antoniostipic/cordova-ml-kit
• Owner: AntonioStipic
• License: other
• Created: 2019-04-02T10:07:11.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-28T09:00:04.000Z (over 5 years ago)
• Last Synced: 2024-10-11T16:21:44.893Z (3 months ago)
• Topics: cordova, cordova-plugin, firebase, image-labeling, ionic, ionic-framework, ml-kit, ml-kit-for-firebase, text-recognition
• Language: Java
• Homepage: https://www.npmjs.com/package/cordova-ml-kit
• Size: 9.77 KB
• Stars: 10
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Cordova ML Kit

Implements ML Kit as Cordova plugin on iOS and Android.

## Installation

Run:

```

npm i cordova-ml-kit

```

## Features

At the moment only Text Recognition and Labeling Images on Android is supported! This plugin requires ``cordova-plugin-firebase``!

| Feature                | Android | Android (Cloud) | iOS | iOS (Cloud) |

|------------------------|---------|-----------------|-----|-------------|

| Text recognition       | [x]     | [x]             | [ ] | [ ]         |

| Face detection         | [ ]     |                 | [ ] |             |

| Barcode scanning       | [ ]     |                 | [ ] |             |

| Image labeling         | [x]     | [x]             | [ ] | [ ]         |

| Landmark recognition   |         | [ ]             |     | [ ]         |

| Custom model inference | [ ]     |                 | [ ] |             |

Some features of ML Kit are only available on device others only on cloud. Please see https://firebase.google.com/docs/ml-kit/ for more information!

## API Methods

### Text recognition

##### **`getText(img, options, success, error): void`**

Text recognition on device

#####  **`getTextCloud(img, options, success, error): void`**

Text recognition on Cloud - Much better results, but you need an active paid plan (Blaze Plan) and activate it on Google Cloud. Parameter are the same like getText

### Image labeling

#####  **`getLabel(img, options, success, error): void`**

Image Labeling on device

#####  **`getLabelCloud(img, options, success, error): void`**

Image Labeling on Cloud

### Face detection

### Barcode scanning

### Landmark recognition

### Custom model inference

## Usage

```javascript

window["MlKitPlugin"].getText(fileBuffer, {},

    (success) => {

        console.log("getText success", success);

    },

    (error) => {

        console.log("getText error", error);

});

```