Buscar pacotes, repositórios e categorias de apps

Detalhes do pacotev0.1.15

flutter_mobile_vision_2

(+Non NULL)Implementação Flutter para o Google Mobile Vision. Leia códigos de barras, reconheça texto e detecte rostos.

AndroidiOS
Downloads em 30 dias
52
Curtidas
50
Pontos Pub
140

Instalar pacote

flutter pub add flutter_mobile_vision_2

Visão geral do pacote

Orientação gerada a partir de informações públicas. Apenas para referência.

Flutter Mobile Vision 2 é um plugin Flutter que fornece acesso às APIs do Google Mobile Vision para leitura de códigos de barras, reconhecimento de texto e detecção facial. Permite que desenvolvedores integrem análise de imagens em tempo real diretamente em aplicativos móveis nas plataformas Android e iOS. O pacote suporta feeds de câmera ao vivo e oferece desempenho confiável na identificação de códigos de barras, extração de texto impresso ou manuscrito e detecção de características faciais como olhos, nariz e boca. Projetado para simplicidade e eficiência, ele conecta capacidades nativas de visão com o framework cross-platform do Flutter.

Casos de uso

  • Escanear códigos de barras em aplicativos de varejo
  • Extração de texto de imagens
  • Detecção facial para autenticação de usuário
  • Digitalização em tempo real de documentos
  • Entrada de dados baseada em imagem

Principais recursos

  • Integração de câmera ao vivo
  • Escanear código de barras
  • Reconhecimento de texto (OCR)
  • Detecção de rosto
  • Suporte multiplataforma (Android e iOS)

Indicado para

  • Aplicativos móveis que exigem OCR
  • Ferramentas de gestão de varejo e estoque
  • Aplicativos de digitalização de documentos
  • Sistemas de verificação de identidade do usuário
  • Aplicativos que precisam de análise de imagem em tempo real

Considerações

  • Requer permissões de câmera
  • Depende do Google Play Services (Android)
  • Funcionalidade offline limitada
  • Pode ser necessário verificar a compatibilidade do dispositivo
  • O desempenho varia conforme o hardware

README original

Snapshot do README original do repositório-fonte vinculado. Consulte o repositório para o conteúdo mais recente.

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: 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

  • [x] Android

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


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. :wink:


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. :wink:

Categorias

Repositório-fonte

Projetos que usam este pacote

Ainda não há dados.