https://github.com/PrimozGodec/ImageColorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained
https://github.com/PrimozGodec/ImageColorization

artificial-intelligence colorization datamining image-colorization machine-learning neural-network

Last synced: about 2 months ago
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Image and video colorizer is package for automatic image and video colorization. Models are allready trained

• Host: GitHub
• URL: https://github.com/PrimozGodec/ImageColorization
• Owner: PrimozGodec
• Created: 2017-07-31T08:59:50.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-08-15T17:54:58.000Z (about 5 years ago)
• Last Synced: 2024-06-21T13:50:45.662Z (3 months ago)
• Topics: artificial-intelligence, colorization, datamining, image-colorization, machine-learning, neural-network
• Language: Python
• Homepage:
• Size: 102 KB
• Stars: 27
• Watchers: 4
• Forks: 14
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
Image and video colorizer

=========================

Image and video colorizer is package for automatic image and video colorization. 

Models are already trained.

## Instalation

Installation can be done in 5 easy steps

1.  Install all requirements for [Tensorflow](https://www.tensorflow.org/install/) 

and tensorflow itself with:

        pip install tensorflow-gpu

        

     if you use GPU device for computation otherwise:

     

        pip install tensorflow

    

2.  Create virtual environment

    

        virtualenv -p python3 colorization_venv

        

3.  Activate virtual environment

        source colorization_venv/bin/activate

        

4.  Clone **Image and video colorization** package and move in it

        git clone https://github.com/PrimozGodec/ImageColorization.git

        cd ImageColorization

        

5.  Install requirements

        pip install -r requirements.txt

        

6.  You are done :)

In case you do not have a GPU device in your computer, please install Tensorflow 

for a CPU. [Instructions](https://www.tensorflow.org/install/ "Tensorflow") are at

the [Tnesorflow website](https://www.tensorflow.org/install/ "Tensorflow").

## Image colorization

For automatic image colorizing follow those steps:

1.  Copy images into `/data/image/original` directory

2.  Run `main.py` script from `src/image_colorization/` directory.

        python -m src.image_colorization.main --model 

     

    Parameter `--method` is optional, if not present `reg_full_model` is default.

    It can be choose from this list:

    * `reg_full_model` (default)

    * `reg_full_vgg_model`

    * `reg_part_model`

    * `class_weights_model`

    * `class_wo_weights_model`

3. You can find colored images in `/data/image/colorized` directory.

 on your GPU or CPU specifications. 

You will see progress bar that show you how far you are with colorization.

## Video colorization

For automatic video colorizing follow those steps:

1.  Copy images into `/data/video/original` directory

2.  Run `video_colorizer.py` script from `src/video_colorization/` directory.

        python -m src.video_colorization.video_colorizer

     

    Video colorizer is always using `reg_full_model`.

3. You can find colored videos in `/data/video/colorized` directory.

Colorization take few hours since there is a lot of images to color in a video

and depends on your GPU or CPU specifications and length of a video. 

You will see progress bar that show you how far you are with colorization.