This project aims to colorize a black and white fragment of the movie "Ikiru" (1952) using deep learning techniques. The colorization is achieved through a Convolutional Neural Network (CNN) model pre-trained on a large dataset from Kaggle.
The pre-trained models and related files were obtained from the Kaggle dataset: Colorize Image Dataset
BNW2C-Movie/
├── .venv/ # Virtual environment directory
├── frames/ # Directory for extracted frames from the movie
├── movie/ # Directory containing the original movie fragment
├── colorization_deploy_v2.prototxt # Prototxt file for the CNN model
├── colorization_release_v2_norebal.caffemodel # Pre-trained Caffe model
├── pts_in_hull.npy # Numpy array with cluster centers for colorization
├── frame_extraction.py # Script to extract frames from the movie
├── Model.py # Main script to colorize the frames and recreate the movie
├── requirements.txt # List of dependencies for the project
└── README.md # This README file
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent