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PROJECT
Colorize Your Grayscale Images Using DeOldify and Gradio
In this project, we will use DeOldify for sophisticated image colorization and build a user-friendly web application for it using Gradio.
You will learn to:
Use DeOldify model for grayscale image colorization.
How to process Images.
Use Gradio package for creating a user-friendly interface.
Use OpenCV for splitting and merging RGB channels.
Skills
Computer Vision
GUI Development
Prerequisites
Intermediate proficiency in Python
Basic knowledge of Matplotlib
Basic knowledge of OpenCV
Technologies
Python
OpenCV
Gradio
DeOldify
Project Description
In today’s digital age, we sometimes come across memories that are old black-and-white images that lack the vibrancy and realism of color. Imagine adding colors to those black-and-white memories to make them come to life.
In this project, will learn how to colorize grayscale images using DeOldify, a deep learning-based tool that colorizes and restores old black-and-white photos with remarkable accuracy.
Moreover, we will enhance the experience by creating a user-friendly graphical user interface (GUI) using Gradio, making the project easy and enjoyable to use.
Project Tasks
1
Getting started
Task 0: Get Started
Task 1: Import the Modules
Task 2: Read the Input Image
2
Image Colorization using DeOldify
Task 3: Colorize the Grayscale Image
Task 4: Transform and Scale the Image
Task 5: Split the Transformed Image into RGB Layers
Task 6: Display the RGB Channels and the Merged Image with Matplotlib
3
Creating User-Friendly Interface by Gradio
Task 7: Load the Sample Images
Task 8: Create the Display Image Function
Task 9: Set the Gradio Interface Parameters
Task 10: Implement Action Functionality for Interface Buttons
Congratulations!
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.