🎨Design a stylish user interface using the tyi library.
📸Use the TensorFlow library to create an image processing neural network.
💻Build and train your own neural network to classify images.
📱Connect the neural network to the application interface.
⏲️Test the application with images from your personal gallery.
What is the tyi library?
—The tyi library is an open-source library that helps design stylish user interfaces for Python applications.
Can I build an image classification application without AI knowledge?
—Yes, this tutorial will guide you through the process of building an image classification application without the need for extensive AI knowledge.
Is TensorFlow the only library used for image processing?
—TensorFlow is one of the most popular libraries for image processing, but there are also other libraries available.
Can I use the application on any device?
—Yes, the application can be used on any device that supports Python and the required libraries.
What kind of images can the application classify?
—The application can classify images of animals and vehicles.
00:00Introduction to building a stylish image classification application.
00:15Overview of the planned tutorial steps, including designing the interface, creating an image processing neural network, and connecting the network to the application.
01:15Downloading the starter files and exploring the provided resources.
02:30Setting up the development environment and installing the tyi library.
03:45Designing the user interface using tyi components.
06:30Implementing image and file selector components.
09:05Handling image uploads and updating the displayed image.
11:30Adding a temperature indicator component for confidence levels.
