Image Classifier with Django and React [Video]
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Free ChapterIntroduction
-
Getting Started with Django
-
Getting Started with React
-
Working on the Frontend and Backend
- Adding Dropzone to Our Project
- Continue Working on Dropzone
- Adding the First Spinner
- Adding Fontawesome to the Dropzone
- Integrating Django and React
- Displaying the State in the Consol
- Adding a Button and It's Conditional Display
- Sending Image to the Database
- Catching Errors
- Introduction to ANN
- How Computer Does See Images
- Image Classification - Part One
- Image Classification - Part Two
- Testing Our Classifier
- Getting the Results from the Backend
- Adding Spinner while Waiting for Results
- Adding Additional Styling
- Creating the Imagelist Component
- Displaying the Classification History
- Adding Load More Images Button
- Adding Spinners to the Image List and the Load More Button
- Optimizing the Imagelist Component
- Adding the Navigation Component
- Applying React Router Dom in the Navigation
-
Conclusion
About this
video
This course shows you how to build an AI-driven image classifier project using React, the Django REST framework, and a Keras pre-trained model. You’ll also learn how to integrate a ready convolutional neural network (CNN) model from Keras applications with Django.
The course starts with an overview of Django and React, helping you gain both theoretical and practical knowledge. You’ll learn how to implement new functionalities in a step-by-step manner to create a project. As you advance, you’ll understand how the app’s frontend and backend work, and even learn how to test your classifier and catch errors. Later, you’ll delve into adding features such as styling, buttons, the navigation component, and spinners which will help in creating a user-friendly app.
By the end of this course, you’ll have built a modern web application that will classify images and store the classification history efficiently.
Here's the link to the GitHub Repo: https://github.com/PacktPublishing/Image-Classifier-with-Django-and-React
- Publication date:
- July 2020
- Publisher
- Packt
- Duration
- 5 hours 6 minutes
- ISBN
- 9781800565784