google_mlkit_barcode_scanning 来识别条形码。 Future<void> _initializeCamera() async { _cameras = await availableCameras(); _controller = CameraController(_cameras.first, ResolutionPreset.medium); await _controller.initialize(); if (mounted) { setState(() { _isCameraInitialized = true; }); _...
我正在尝试用于安卓系统的google_ml_kit flutter软件包,以便从驾照条形码中获取信息。 我正在使用mlkit中的示例应用程序对其进行测试:https://github.com/bharat-biradar/Google-Ml-Kit-plugin/tree/master/example 返回扫描条形码列表的代码如下: final barcodes = await barcodeScanner.processImage(inputImage); 完...
dartfirebaseface-recognitionflutterflutter-authgoogle-ml-kitflutter-face-detection UpdatedApr 19, 2024 Dart pedrol2b/react-native-vision-camera-mlkit Star24 📦 A Google ML Kit frame processor plugin for react-native-vision-camera androidiosocrreact-nativebarcodevisionmlkitgoogle-ml-kitvision-camerafra...
azihsoyn/flutter_mlkit Sponsor Star391 A Flutter plugin to use the Firebase ML Kit. androiddartiosfirebasefluttermlkitflutter-plugin UpdatedAug 20, 2020 Dart JimmyPun610/BarcodeScanner.Mobile Star349 Barcode Scanner using GoogleVision API for Xamarin Form, Maui ...
Flutter About the Service About HUAWEI Health Kit App-oriented Open Services Device-oriented Open Services Advantages Data Type Public Data Types Customized Data Types Activity Type Constants Data Type Quality Control Data Openness of Huawei Wear and Huawei Health Scopes Version Chang...
可以帮助你用Flutter简化跨平台开发。 在今年的Google I/O大会上，Google发布了Flutter Beta 3，他们...
Google ML Kit是一款由Google开发的机器学习工具包,旨在帮助开发者轻松集成机器学习功能到他们的移动应用程序中。它提供了一系列的预训练模型和API,使开发者能够在应用中实现图像识别、文本识别、人脸检测、语音识别等功能。 Google ML Kit的主要特点和优势包括: 简单易用:Google ML Kit提供了简单易用的API,使开发者...
jswolf19pushed a commit to Towa-Japan/flutter_qr_bar_scanner that referenced this issueMar 4, 2022 upgraded android to mlkit17.0.2 675e1f7 jswolf19mentioned this issueMar 5, 2022 Copy link jswolf19commentedMar 5, 2022 Upgrading to 17.0.2 fixed this issue for me. ...
ML Kit Face Detection in Flutter Example fluttermlkitflutter-appsflutter-examplesmlkit-face-detectionmlkit-android UpdatedDec 15, 2023 Dart A demo app using MVI, master-detail, SQLDelight, Hilt, Material Design, Navigation Component, Shared Element Transition, Coil, and MLKit face detection. ...
import numpy as np import matplotlib.pyplot as plt labels = ['G1', 'G2', 'G3', 'G4...