ml_kit_image_labeler's Introduction

MLKIT Image Labeler

Plugin which provides native ML Kit ImageLabeler API

Requirements

Android

Set minSdkVersion 21 in android/app/build.gradle
Add <meta-data android:name="com.google.mlkit.vision.DEPENDENCIES" android:value="ica" /> in android/src/main/AndroidManifest.xml
Note: In case you are using multiple models separate them with commas android:value="ica,ocr"
Set ext.kotlin_version = '1.6.10' in android/build.gradle
App size impact: 700KB(Using Unbundled Model, downloads model using Google play services for the first time when app launches), refer here

iOS

Minimum iOS Deployment Target: 10.0
Xcode 12.5.1 or greater.
ML Kit only supports 64-bit architectures (x86_64 and arm64). Check this list to see if your device has the required device capabilities.
Since ML Kit does not support 32-bit architectures (i386 and armv7) Read more, you need to exclude amrv7 architectures in Xcode in order to build iOS, refer here

Usage

// Create an Instance of [MlKitImageLabeler]
final imageLabeler = MlKitImageLabeler();


//...
// Pick Image using image picker
//...

// Call `processImage()` and pass params as `InputImage` [check example for more info]
final labels = await imageLabeler.processImage(
    InputImage.fromFilePath(image.path));

String predictedLabels = '';

// Iterate over Labels 
for (var label in labels) {
    predictedLabels +=
        '\n${label.label} ${(label.confidence * 100).toStringAsPrecision(2)}%';
}

This plugin is basically a trimmed down version of google_ml_kit. As google_ml_kit contains all the NLP and Vison APIs, the App size increases drastically. So, I created this plugin and now the example app's fat apk is of 17MB and splitted apks are 6MB.

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