Exploring AI Capabilities with Flutter
Flutter, Google’s UI toolkit, is well-known for its fast development and beautiful UIs. However, it also has strong capabilities in the field of artificial intelligence and machine learning. With the help of various libraries and plugins, developers can leverage AI functionalities to build powerful and intelligent applications using Flutter.
Realtime Object Detection
Flutter provides the ability to perform real-time object detection using pre-trained machine learning models. By integrating TensorFlow Lite (TFlite) with Flutter, developers can create applications that can identify and locate objects in real time. This can be useful for a wide range of applications, including augmented reality, security systems, and image recognition.
Deep Learning
Deep learning is a subset of machine learning that involves the use of neural networks to perform complex tasks such as image and speech recognition. With the help of Flutter, developers can incorporate deep learning functionalities into their applications. By using libraries like TensorFlow and Keras, developers can train and deploy deep learning models directly within their Flutter apps.
TensorFlow Integration
TensorFlow, Google’s open-source machine learning framework, is widely used for building and training machine learning models. With Flutter, developers can seamlessly integrate TensorFlow into their applications to create intelligent and predictive features. This allows for the development of applications with advanced AI capabilities such as natural language processing, recommendation systems, and predictive analytics.
TFlite Implementation
TFlite, also known as TensorFlow Lite, is a lightweight and efficient machine learning model interpreter designed for mobile and embedded devices. Flutter developers can leverage TFlite to deploy machine learning models directly onto their mobile applications, enabling on-device inference and real-time predictions. This allows for efficient use of AI capabilities without relying on constant network connectivity.
Overall, Flutter provides a powerful platform for developers to explore and implement various AI capabilities within their applications. With access to libraries such as TensorFlow, TFlite, and other machine learning frameworks, developers can create intelligent and intuitive applications that can perform tasks previously thought to be impossible on mobile devices. As AI continues to play a crucial role in shaping the future of technology, Flutter remains at the forefront of enabling developers to harness the power of artificial intelligence.
Can you public source code?
hey, this error is coming not just me but for everyone:
The method '*' was called on null.
Receiver: null
Tried calling: *(700)
SO please tell how to solve it or atleast provide the github repo or your code as it's not working ASAP
Hey! Nice video, I had a doubt, how can we fetch the detected key (here :"mouse") to the frontend and display it in our frontend afterwards?
First of all, thanks for the tutorial. I already followed your tutorial, but I think in the last tutorial, you made a mistake because you used Tflite.runModelOnFrame, which the detector will return [confidence, index, and label]. However, in your tutorial, you input [confidenceInClass, detectedClass, h, w, x, y]. You need to use Tflite.detectObjectOnFrame in order to make [confidenceInClass, detectedClass, h, w, x, y] work. I've already used a different model that uses SSD MobileNet and Tflite.detectObjectOnFrame, and it works.
sir i am watch ur video many time and getting error in var ourDetectedObject in section detector.first cannot accept null value. what should i do ?, thanks in advance
Is this the last tutorial? Btw great work
Some of the data I'm getting back from the detector doesn't match with this tutorial… Maybe I'm using a different version of tflite (flutter_tflite: ^1.0.1)?
The only data I'm getting looks like this:
[{confidence: 0.9445173144340515, index: 795, label: shower curtain}]
Also, mostly just seems to think it's looking at shower curtains… Gonna try some other models…
Sir please make a video on getx statement
The method '*' was called on null excepiton,
and imageFormatGroup no more code
How much money to get the GitHub repo link?
Can you share the repo link ?
Sir WebView with push notification py ak complete video bny sukhria
i am facing issues for model its not getting by the controller kindly provide us your model
Can someone help me with this error.
@patch
@pragma("vm:entry-point", "call")
dynamic noSuchMethod(Invocation invocation) {
// TODO(regis): Remove temp constructor identifier 'withInvocation'.
throw new NoSuchMethodError.withInvocation(this, invocation);
}
Exception has occurred.
NoSuchMethodError (NoSuchMethodError: The method '*' was called on null.
Receiver: null
Tried calling: *(700))
I did everything as is the video and I can't run the app since I start it and it doesn't show me the camera.
object_patch.dart
top: (controller.y) * 700,
right: (controller.x) * 500,
child: Container(
width: controller.w * 100 * context.width / 100,
height: controller.h * 100 * context.height / 100,
sir in scan_controller.dart online 81 in your code the if condition (ourDetectedObject['confidenceInClass']*100>45 is not working it shows that * is called on null how to solve it?
i am facing issue to detect the image
Sir hindi plz
Bro how to create object detection models
Please make a qna app, hindi languge
What is 'rect'?