https://github.com/mhamdyx/b7b_el_cima
An application that converts black and white videos or images into colored and nice ones.
https://github.com/mhamdyx/b7b_el_cima
asu-computer-vision b7b-el-cima black-and-white coloring-image coloring-video colorization computer-vision computer-vision-competition deep-learning image-processing video-processing
Last synced: about 1 year ago
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An application that converts black and white videos or images into colored and nice ones.
- Host: GitHub
- URL: https://github.com/mhamdyx/b7b_el_cima
- Owner: mhamdyx
- Created: 2019-05-03T17:35:38.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2025-03-28T20:13:28.000Z (about 1 year ago)
- Last Synced: 2025-04-23T11:57:25.198Z (about 1 year ago)
- Topics: asu-computer-vision, b7b-el-cima, black-and-white, coloring-image, coloring-video, colorization, computer-vision, computer-vision-competition, deep-learning, image-processing, video-processing
- Language: Jupyter Notebook
- Size: 97.7 MB
- Stars: 7
- Watchers: 1
- Forks: 7
- Open Issues: 3
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Metadata Files:
- Readme: README.md
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README
# b7b_el_cima
## Content
* [Overview](#overview)
* [Specifications](#specifications)
* [Model Architecture](#model-architecture)
* [How to use?](#how-to-use)
* [Examples](#examples)
* [Our Team](#our-team)
* [License](#license)
---
## Overview
Academic project of an application that converts black and white videos or images into colored and nice ones.
For more, check our [Project Proposal](B7b%20El-Cima.pdf) and [Video](https://www.youtube.com/watch?v=HuqR4sw75ko)
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---
## Specifications
A simple [website](http://127.0.0.1:5000) containing a colorization app for video or image
* The front-end is in [HTML5](https://developer.mozilla.org/en-US/docs/Web/Guide/HTML/HTML5), [CSS3](https://developer.mozilla.org/en-US/docs/Web/CSS/CSS3), [Javascript](https://www.javascript.com/), [Ajax](http://api.jquery.com/jquery.ajax/) and [Bootstrap 4](https://getbootstrap.com/).
* The back-end is in [Python 3](https://www.python.org/download/releases/3.0/) using [Flask](http://flask.pocoo.org/) framework.
* Model Architectures are written using [Keras](https://keras.io/).
* The Core project is developed using [Tensorflow](https://www.tensorflow.org/) and [OpenCV](https://opencv.org/).
* Models Training is done using [Colab](https://colab.research.google.com)
* Development is OS independent.
---
## Model Architecture
* We learned 3 different architectures
you can find all details [here](Model_Arch.md).
* By comparing the initial results of them the one which gave the best result was U-Net so we continue training on it.
* We trained it by 66k images from old colored movies. you can find the dataset [here](https://drive.google.com/file/d/1g6wtlkZVHAMKwucdRPqke37aBcQaImWw/view).
* The training took 2 days on colab to make 20 epochs with batch size 32.
---
## How to use?
### 1) Download this repo
* From GitHub: Clone or Download the repository or
* From Git:
> git clone
### 2) Download the model
* Create a new folder in the repo and name it "models"
* In this folder(models), download the model from [here](https://drive.google.com/file/d/1biUjfEqCFgmNGzGXg8yTf9vsXTsLaB39/view)
### 3) Install dependencies
* Using command line:
> pip install -r requirements.txt
### 4) To run the website
* Go to the project directory
* Go to Web App
* Run command line there and type:
> python abbas.py
### 5) To colorize an Image
* Include a url or upload an image then click Colorize:
### 6) To colorize a Video
* Upload a video then click Colorize:
---
## Examples
### Image
### Video
---
## Our Team
* [Aladdin Mostafa](https://github.com/Aladdin95)
* [Mohamed Hussein](https://github.com/teamleader6)
* [Rawan Mahmoud](https://github.com/RawanMahmoud)
* [Mado Mohamed](https://github.com/MadoMohamed)
* [Mahmoud Hamdy](https://github.com/mhamdyx)
---
## License