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https://github.com/neelanjan00/colorize

Colorize is a computer vision algorithm that is implemented as a feed-forward pass in a CNN at test time, that has been trained on a million images from the Imagenet dataset. The algorithm is able to fill vibrant and realistic colors to the black and white images to recreate a plausible colorized image. Based on the 2016 research paper by Zhang et al. "Colorful Image Colorization".
https://github.com/neelanjan00/colorize

computer-vision deep-learning flask

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Colorize is a computer vision algorithm that is implemented as a feed-forward pass in a CNN at test time, that has been trained on a million images from the Imagenet dataset. The algorithm is able to fill vibrant and realistic colors to the black and white images to recreate a plausible colorized image. Based on the 2016 research paper by Zhang et al. "Colorful Image Colorization".

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README

        

![Colorize](https://firebasestorage.googleapis.com/v0/b/neelanjan-manna.appspot.com/o/project-images%2FColorize.png?alt=media&token=1d13ff27-ab7a-422f-8bbc-c6ec08c9c4ce)

Welcome to Colorize: An AI approach to color black and white images 👋



Version

Twitter: NeelanjanManna

> Colorize is a computer vision algorithm which is implemented as a feed-forward pass in a CNN at test time, that has been trained on a million images from the Imagenet dataset. The algorithm is able to fill vibrant and realistic colors to the black and white images to recreate a plausible colorized image. Based on the 2016 research paper by Zhang et al. "Colorful Image Colorization".

### 🏠 [Homepage](http://colorizeapp.herokuapp.com/)

### ✨ [Demo](http://colorizeapp.herokuapp.com/)

## Install

```sh
pip install - r requirements.txt
```

## Usage

```sh
python app.py
```

## Author

👤 **Neelanjan Manna**

* Website: https://neelanjanmanna.ml/
* Twitter: [@NeelanjanManna](https://twitter.com/NeelanjanManna)
* Github: [@neelanjan00](https://github.com/neelanjan00)
* LinkedIn: [@neelanjan00](https://linkedin.com/in/neelanjan00)

## Show your support

Give a ⭐️ if this project helped you!