In this video, I will explain how to use TFLite with Tiny Yolov2 and SSD models to perform on-device object detection #Trending #Flutter #TFLite Please give ...
In this video, I will explain how to use TFLite with Tiny Yolov2 and SSD models to perform on-device object detection
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Source Code - https://github.com/iampawan/TFLite-Fl...
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Google has announced new flutter 1.20 stable with many improvements, and features, enabling flutter for Desktop and Web
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).
Develop an image classifier mobile application with Flutter, using TensorFlow Lite and Google’s Teachable Machine.
Recently Adobe XD releases a new version of the plugin that you can use to export designs directly into flutter widgets or screens.
Machine learning and AI are taking mobile application development to a new level. Apps that utilizing machine learning can recognize speech, images, and gestures. This gives us new and compelling ways to engage and interact with people in the world around us. But how do we integrate machine learning into our mobile apps? Ever since I heard about TensorFlow Lite I wanted to create an app to test the power of the machine learning model on Android devices. This tool provides us with pre-trained machine learning models as well as tools to train and import our own custom models. But how do we actually develop a compelling experience on top of those machine learning models? That’s where Flutter comes in. Learn about how to work with TensorFlow in Flutter