Colorization App

This Python application provides a graphical user interface (GUI) for colorizing black-and-white images and videos. The app utilizes OpenCV for image processing and Tkinter for the GUI.

Features

• Automatic Colorization: Automatically colorizes black-and-white images and videos using a pre-trained deep learning model.
• Dot-Based Colorization: Allows users to manually place colored dot on the image, which influence the colorization of nearby areas.
• Dynamic Palette-Based Colorization: Users can generate color palettes dynamically via an API and apply these colors based on the grayscale intensity of the image.
• Image and Video Support: Supports both images and videos for colorization. Videos can be colorized only with automatic colorization.

Prerequisites

Before running this application, you will need the following:

• Python 3.6 or newer

• OpenCV library

• NumPy

• PIL (Pillow)

• Tkinter

• Requests

  Install the required Python libraries by running: pip install numpy opencv-python pillow requests

Download the model from: https://drive.google.com/drive/folders/1Qh9GuAE7k1jxrQcofhuW3o8y8Gan35BP?usp=sharing

Demo

• Initialization: Run Main.py to initiate the application.
• Upload a file, choose a colorization mode and wait for the result.