1620030147
Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Firebase ML vision library.
Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Firebase ML vision library.
For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.
TensorFlow Lite is an open source deep learning framework for on-device inference.
https://www.tensorflow.org/lite
TensorFlow Lite plugin provides a dart API for accessing TensorFlow Lite interpreter and performing inference. It binds to TensorFlow Lite C API using dart:ffi.
https://pub.dev/packages/tflite_flutter/install
Currently, the project has only support for Android devices, if you’re interested in contribute to provide iOS support, please let me know emailing me to marcoscarlomagno1@gmail.com
1- Clone the project:
git clone https://github.com/MCarlomagno/FaceRecognitionAuth.git
2- Open the folder:
cd FaceRecognitionAuth
3- Install dependencies:
flutter pub get
4- Run on device (Check device connected or any virtual device running):
flutter run
Author: MCarlomagno
Download Link: Download The Source Code
Official Website: https://github.com/MCarlomagno/FaceRecognitionAuth
License: https://opensource.org/licenses/BSD-3-Clause
#flutter #tensorflow #firebase
1597014000
Flutter Google cross-platform UI framework has released a new version 1.20 stable.
Flutter is Google’s UI framework to make apps for Android, iOS, Web, Windows, Mac, Linux, and Fuchsia OS. Since the last 2 years, the flutter Framework has already achieved popularity among mobile developers to develop Android and iOS apps. In the last few releases, Flutter also added the support of making web applications and desktop applications.
Last month they introduced the support of the Linux desktop app that can be distributed through Canonical Snap Store(Snapcraft), this enables the developers to publish there Linux desktop app for their users and publish on Snap Store. If you want to learn how to Publish Flutter Desktop app in Snap Store that here is the tutorial.
Flutter 1.20 Framework is built on Google’s made Dart programming language that is a cross-platform language providing native performance, new UI widgets, and other more features for the developer usage.
Here are the few key points of this release:
In this release, they have got multiple performance improvements in the Dart language itself. A new improvement is to reduce the app size in the release versions of the app. Another performance improvement is to reduce junk in the display of app animation by using the warm-up phase.
If your app is junk information during the first run then the Skia Shading Language shader provides for pre-compilation as part of your app’s build. This can speed it up by more than 2x.
Added a better support of mouse cursors for web and desktop flutter app,. Now many widgets will show cursor on top of them or you can specify the type of supported cursor you want.
Autofill was already supported in native applications now its been added to the Flutter SDK. Now prefilled information stored by your OS can be used for autofill in the application. This feature will be available soon on the flutter web.
A new widget for interaction
InteractiveViewer
is a new widget design for common interactions in your app like pan, zoom drag and drop for resizing the widget. Informations on this you can check more on this API documentation where you can try this widget on the DartPad. In this release, drag-drop has more features added like you can know precisely where the drop happened and get the position.
In this new release, there are many pre-existing widgets that were updated to match the latest material guidelines, these updates include better interaction with Slider
and RangeSlider
, DatePicker
with support for date range and time picker with the new style.
pubspec.yaml
formatOther than these widget updates there is some update within the project also like in pubspec.yaml
file format. If you are a flutter plugin publisher then your old pubspec.yaml
is no longer supported to publish a plugin as the older format does not specify for which platform plugin you are making. All existing plugin will continue to work with flutter apps but you should make a plugin update as soon as possible.
Visual Studio code flutter extension got an update in this release. You get a preview of new features where you can analyze that Dev tools in your coding workspace. Enable this feature in your vs code by _dart.previewEmbeddedDevTools_
setting. Dart DevTools menu you can choose your favorite page embed on your code workspace.
The updated the Dev tools comes with the network page that enables network profiling. You can track the timings and other information like status and content type of your** network calls** within your app. You can also monitor gRPC traffic.
Pigeon is a command-line tool that will generate types of safe platform channels without adding additional dependencies. With this instead of manually matching method strings on platform channel and serializing arguments, you can invoke native class and pass nonprimitive data objects by directly calling the Dart
method.
There is still a long list of updates in the new version of Flutter 1.2 that we cannot cover in this blog. You can get more details you can visit the official site to know more. Also, you can subscribe to the Navoki newsletter to get updates on these features and upcoming new updates and lessons. In upcoming new versions, we might see more new features and improvements.
You can get more free Flutter tutorials you can follow these courses:
#dart #developers #flutter #app developed #dart devtools in visual studio code #firebase local emulator suite in flutter #flutter autofill #flutter date picker #flutter desktop linux app build and publish on snapcraft store #flutter pigeon #flutter range slider #flutter slider #flutter time picker #flutter tutorial #flutter widget #google flutter #linux #navoki #pubspec format #setup flutter desktop on windows
1598396940
Flutter is an open-source UI toolkit for mobile developers, so they can use it to build native-looking** Android and iOS** applications from the same code base for both platforms. Flutter is also working to make Flutter apps for Web, PWA (progressive Web-App) and Desktop platform (Windows,macOS,Linux).
Flutter was officially released in December 2018. Since then, it has gone a much stronger flutter community.
There has been much increase in flutter developers, flutter packages, youtube tutorials, blogs, flutter examples apps, official and private events, and more. Flutter is now on top software repos based and trending on GitHub.
What is Flutter? this question comes to many new developer’s mind.
Flutter means flying wings quickly, and lightly but obviously, this doesn’t apply in our SDK.
So Flutter was one of the companies that were acquired by **Google **for around $40 million. That company was based on providing gesture detection and recognition from a standard webcam. But later when the Flutter was going to release in alpha version for developer it’s name was Sky, but since Google already owned Flutter name, so they rename it to Flutter.
Flutter is used in many startup companies nowadays, and even some MNCs are also adopting Flutter as a mobile development framework. Many top famous companies are using their apps in Flutter. Some of them here are
and many more other apps. Mobile development companies also adopted Flutter as a service for their clients. Even I was one of them who developed flutter apps as a freelancer and later as an IT company for mobile apps.
#dart #flutter #uncategorized #flutter framework #flutter jobs #flutter language #flutter meaning #flutter meaning in hindi #google flutter #how does flutter work #what is flutter
1620030147
Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Firebase ML vision library.
Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Firebase ML vision library.
For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.
TensorFlow Lite is an open source deep learning framework for on-device inference.
https://www.tensorflow.org/lite
TensorFlow Lite plugin provides a dart API for accessing TensorFlow Lite interpreter and performing inference. It binds to TensorFlow Lite C API using dart:ffi.
https://pub.dev/packages/tflite_flutter/install
Currently, the project has only support for Android devices, if you’re interested in contribute to provide iOS support, please let me know emailing me to marcoscarlomagno1@gmail.com
1- Clone the project:
git clone https://github.com/MCarlomagno/FaceRecognitionAuth.git
2- Open the folder:
cd FaceRecognitionAuth
3- Install dependencies:
flutter pub get
4- Run on device (Check device connected or any virtual device running):
flutter run
Author: MCarlomagno
Download Link: Download The Source Code
Official Website: https://github.com/MCarlomagno/FaceRecognitionAuth
License: https://opensource.org/licenses/BSD-3-Clause
#flutter #tensorflow #firebase
1627200000
Firebase Authentication in Flutter | Flutter Firebase - Part 2 | Google Authentication | #FlutterStudio
#google auth #flutter #firebase #flutter firebase #firebase authentication
1623899767
Python can detect and recognize your face from an image or video
Face Detection and Recognition is one of the areas of computer vision where the research actively happens.
The applications of Face Recognition include Face Unlock, Security and Defense, etc. Doctors and healthcare officials use face recognition to access the medical records and history of patients and better diagnose diseases.
In this python project, we are going to build a machine learning model that recognizes the persons from an image. We use the face_recognition API and OpenCV in our project.
To install the above packages, use the following command.
pip install numpy opencv-python
To install the face_recognition, install the dlib package first.
pip install dlib
Now, install face_recognition module using the below command
pip install face_recognition
#machine learning tutorials #face recognition #face recognition opencv #ml project #python face recognition #face recognition with python