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(+Non NULL)Flutter implementation for Google Mobile Vision. Scan Barcodes, Recognize Text and Detect Faces.

flutter_mobile_vision_2 #

https://pub.dartlang.org/packages/flutter_mobile_vision_2

This is a simple non-null migration for https://github.com/edufolly/flutter_mobile_vision Thanks to Edufolly

pub package

Flutter implementation for Google Mobile Vision.

Based on Google Mobile Vision.

Android Samples -=- iOS Samples

Liked? ⭐ Star the repo to support the project!


Migration from fluttermobilevision by edufolly #

If you are migrating from edufolly's package, please note the following changes.

[1]

import 'package:fluttermobilevision/fluttermobilevision.dart';

has been changed to

import 'package:flutter_mobile_vision_2/flutter_mobile_vision_2.dart';

so update your imports.

[2]

io.github.edufolly.fluttermobilevision

has been changed to

 ng.com.piccmaq.flutter.flutter_mobile_vision_2

so update your AndroidManifest.xml


Features #

  • Android

    • Barcode Scan
      • Front or Back camera.
      • Select preview sizes.
      • Simple scan.
      • Toggle torch.
      • Toggle auto focus.
      • Specify types of barcodes that will be read.
      • Tap to capture.
      • Select barcode type to be scanned.
      • Scan multiple barcodes.
      • Barcode coordinates.
      • Show barcode text.
      • Standard code.
    • Recognize Text
      • Front or Back camera.
      • Select preview sizes.
      • Simple OCR.
      • Toggle torch.
      • Toggle auto focus.
      • Multiple recognition.
      • Text language.
      • Text coordinates.
      • Hide recognized text.
      • Standard code.
    • Detect Faces
      • Front or Back camera.
      • Select preview sizes.
      • Simple detection.
      • Toggle torch.
      • Toggle auto focus.
      • Multiple detection.
      • Face coordinates.
      • Hide detection information.
      • Standard code.
    • Generalization of capture activities.
    • Choose between back and front camera.
    • Control camera FPS.
  • iOS

    • Barcode Scan
      • Future Tasks
    • Recognize Text
      • Future Tasks
    • Detect Faces
      • Future Tasks

Your feature isn't listed? Open a issue right now! #

Screenshots #

Usage #

Example

To use this plugin :

  • add the dependency to your pubspec.yaml file:
  dependencies:
    flutter:
      sdk: flutter
    flutter_mobile_vision_2: ^0.1.9
  • add FlutterMobileVision.start() to initState():
@override
void initState() {
  super.initState();
  FlutterMobileVision.start().then((x) => setState(() {}));
}

or for a better implementation:

@override
void initState() {
  super.initState();
  FlutterMobileVision.start().then((previewSizes) => setState(() {
    _previewBarcode = previewSizes[_cameraBarcode].first;
    _previewOcr = previewSizes[_cameraOcr].first;
    _previewFace = previewSizes[_cameraFace].first;
  }));
}

Barcode #

//...
List<Barcode> barcodes = [];
try {
  barcodes = await FlutterMobileVision.scan(
    flash: _torchBarcode,
    autoFocus: _autoFocusBarcode,
    formats: _onlyFormatBarcode,
    multiple: _multipleBarcode,
    waitTap: _waitTapBarcode,
    //OPTIONAL: close camera after tap, even if there are no detection.
    //Camera would usually stay on, until there is a valid detection
    forceCloseCameraOnTap: true,
    //OPTIONAL: path to save image to. leave empty if you do not want to save the image
    imagePath: '', //'path/to/file.jpg'
    showText: _showTextBarcode,
    preview: _previewBarcode,
    camera: _cameraBarcode,
    fps: 15.0,
  );
} on Exception {
  barcodes.add(new Barcode('Failed to get barcode.'));
}
//...

Android #

For Android, you must do the following before you can use the plugin:

  • Add the camera permission to your AndroidManifest.xml

    <uses-feature android:name="android.hardware.camera" />

    <uses-permission android:name="android.permission.CAMERA" />

  • Add the Barcode activity to your AndroidManifest.xml (after other activity nodes)

    <activity android:name="ng.com.piccmaq.flutter.flutter_mobile_vision_2.barcode.BarcodeCaptureActivity" />

iOS #

If you can help, the community thanks. Your fork is needed. 😉


OCR #

//...
List<OcrText> texts = [];
try {
  texts = await FlutterMobileVision.read(
    flash: _torchOcr,
    autoFocus: _autoFocusOcr,
    multiple: _multipleOcr,
    showText: _showTextOcr,
    previewSize: _previewOcr,
    preview: _previewOcr,
    camera: _cameraOcr,
    fps: 2.0,
  );
} on Exception {
  texts.add(new OcrText('Failed to recognize text.'));
}
//...

Android #

For Android, you must do the following before you can use the plugin:

  • Add the camera permission to your AndroidManifest.xml

    <uses-feature android:name="android.hardware.camera" />

    <uses-permission android:name="android.permission.CAMERA" />

  • Add the OCR activity to your AndroidManifest.xml (after other activity nodes)

    <activity android:name="ng.com.piccmaq.flutter.flutter_mobile_vision_2.ocr.OcrCaptureActivity" />

iOS #

If you can help, the community thanks. Your fork is needed. 😉


Face Detection #

//...
List<Face> faces = [];
try {
  faces = await FlutterMobileVision.face(
    flash: _torchFace,
    autoFocus: _autoFocusFace,
    multiple: _multipleFace,
    showText: _showTextFace,
    preview: _previewFace,
    camera: _cameraFace,
    fps: 15.0,
  );
} on Exception {
  faces.add(new Face(-1));
}
//...

Android #

For Android, you must do the following before you can use the plugin:

  • Add the camera permission to your AndroidManifest.xml

    <uses-feature android:name="android.hardware.camera" />

    <uses-permission android:name="android.permission.CAMERA" />

  • Add the Face Detection activity to your AndroidManifest.xml (after other activity nodes)

    <activity android:name="ng.com.piccmaq.flutter.flutter_mobile_vision_2.face.FaceCaptureActivity" />

iOS #

If you can help, the community thanks. Your fork is needed. 😉

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Publisher

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(+Non NULL)Flutter implementation for Google Mobile Vision. Scan Barcodes, Recognize Text and Detect Faces.

Repository (GitHub)
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Documentation

API reference

License

MIT (LICENSE)

Dependencies

flutter

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