This is a desktop app that uses DeOldify's deep learning model to colorize black and white images. It provides a convenient graphical user interface (GUI) where you can select a black and white image, colorize it, and save the result to a file.
├── README.md <- The text file that provides information about a project, including its purpose, dependencies, and how to use it.
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├── deoldify <- DeOldify's Source Code for colorizing and restoring old images.
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├── fastai <- Folder containing the fastai library, which is an open-source deep learning library.
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├── fid <- Folder containing open-source library for computing the Fréchet Inception Distance.
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├── models <- Folder containing the Artistic model to be used for colorizing images.
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├── result_images <- Folder to store colored images.
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├── test_images <- Folder to store black and white images to be colorized.
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├── assets <- Folder containing the project's logo and images used in the README.md file.
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├── requirements.txt <- The text file that contains the list of dependencies to be installed.
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├── project.py <- The main Python file that contains the code for the project's GUI.
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├── test_project.py <- The Python file that contains the automated testing for the project's GUI.
│ Use the built-in testing tool in PyCharm.
│ To do this, open the test file in PyCharm and navigate to the line of code that you want to test.
│ Then, right-click on the line of code and select "Run '<test_name>'" from the context menu.
│ Or simply use pytest by running the command 'pytest test_project.py' in the terminal.
To use this project, you will need to have Python 3.9.0 installed on your computer. You can download Python here.
In addition, your computer will need to be supported with CUDA in order to run
the app.
You can check if your GPU supports
CUDA on this page on the NVIDIA
website.
Once you have Python and CUDA installed, you will need to install the required libraries. You can do this by running the following command in a terminal:
pip install -r requirements.txt
Download pretrained DeOldify model. On your terminal run the following
command:
mkdir models
wget https://data.deepai.org/deoldify/ColorizeArtistic_gen.pth -O ./models/ColorizeArtistic_gen.pth
Note: The model is too large to be uploaded to GitHub. This is why you need to download it separately and place it in the "models" folder.
Then, you can run the project by using the following command:
python project.py
This will open the GUI where you can select a black and white image, colorize it, and save the result to a file.
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Click the "Browse" button to open a file dialog box.
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Select a black and white image from your computer.
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Click the "Colorize" button to colorize the image.
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The colorized image will be displayed in the GUI.
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Click the "Save" button to save the colorized image to a file.
That's it! You can now colorize black and white images to bring it back to life
with the help of this project.
Alan Turing
Father of Modern Computer Science
The Voices of Batman: The Animated Series
Old Burger King
The project uses the DeOldify library's get_image_colorizer() function to
create an image colorizer with the artistic=True argument. This tells the
colorizer to use an artistic style when colorizing the image. The colorizer is
then used to colorize the image in the colorize_image() function using
the
plot_transformed_image() method. The resulting image is displayed in the
GUI
using the Tkinter Image and ImageTk classes. The user can also save the
colorized image using the Image.save() method.
Ralph Cajipe - @ralphcode - [email protected]
Project Link: https://github.com/ralphcajipe/image-colorizer
This was CS50x!