A Flutter plugin to use the Firebase ML Kit.

import 'package:mlkit/mlkit.dart';

FirebaseVisionTextDetector detector = FirebaseVisionTextDetector.instance;

// Detect form file/image by path
var currentLabels = await detector.detectFromPath(_file?.path);

// Detect from binary data of a file/image
var currentLabels = await detector.detectFromBinary(_file?.readAsBytesSync());

import 'package:mlkit/mlkit.dart';
import 'package:image/image.dart' as img;

FirebaseModelInterpreter interpreter = FirebaseModelInterpreter.instance;
FirebaseModelManager manager = FirebaseModelManager.instance;

//Register Cloud Model
manager.registerRemoteModelSource(
        FirebaseRemoteModelSource(modelName: "mobilenet_v1_224_quant"));

//Register Local Backup
manager.registerLocalModelSource(FirebaseLocalModelSource(modelName: 'mobilenet_v1_224_quant',  assetFilePath: 'ml/mobilenet_v1_224_quant.tflite');


var imageBytes = (await rootBundle.load("assets/mountain.jpg")).buffer;
img.Image image = img.decodeJpg(imageBytes.asUint8List());
image = img.copyResize(image, 224, 224);

//The app will download the remote model. While the remote model is being downloaded, it will use the local model.
var results = await interpreter.run(
        remoteModelName: "mobilenet_v1_224_quant",
        localModelName: "mobilenet_v1_224_quant",
        inputOutputOptions: FirebaseModelInputOutputOptions([
          FirebaseModelIOOption(FirebaseModelDataType.FLOAT32, [1, 224, 224, 3])
        ], [
          FirebaseModelIOOption(FirebaseModelDataType.FLOAT32, [1, 1001])
        ]),
        inputBytes: imageToByteList(image));

// int model
Uint8List imageToByteList(img.Image image) {
    var _inputSize = 224;
    var convertedBytes = new Uint8List(1 * _inputSize * _inputSize * 3);
    var buffer = new ByteData.view(convertedBytes.buffer);
    int pixelIndex = 0;
    for (var i = 0; i < _inputSize; i++) {
      for (var j = 0; j < _inputSize; j++) {
        var pixel = image.getPixel(i, j);
        buffer.setUint8(pixelIndex, (pixel >> 16) & 0xFF);
        pixelIndex++;
        buffer.setUint8(pixelIndex, (pixel >> 8) & 0xFF);
        pixelIndex++;
        buffer.setUint8(pixelIndex, (pixel) & 0xFF);
        pixelIndex++;
      }
    }
    return convertedBytes;
  }

// float model
Uint8List imageToByteList(img.Image image) {
  var _inputSize = 224;
  var convertedBytes = Float32List(1 * _inputSize * _inputSize * 3);
  var buffer = Float32List.view(convertedBytes.buffer);
  int pixelIndex = 0;
  for (var i = 0; i < _inputSize; i++) {
    for (var j = 0; j < _inputSize; j++) {
      var pixel = image.getPixel(i, j);
      buffer[pixelIndex] = ((pixel >> 16) & 0xFF) / 255;
      pixelIndex += 1;
      buffer[pixelIndex] = ((pixel >> 8) & 0xFF) / 255;
      pixelIndex += 1;
      buffer[pixelIndex] = ((pixel) & 0xFF) / 255;
      pixelIndex += 1;
    }
  }
  return convertedBytes.buffer.asUint8List();
}