Gray-to-Color-Image-Translation

Gray-to-Color-Image-Translation

This project implements a Pix2Pix Generative Adversarial Network (GAN) model to convert black and white images to color images. The Pix2Pix GAN is a deep learning architecture used for various image-to-image translation tasks.

Requirements

To run this app, you need to have the following Python libraries installed:

• Streamlit (pip install streamlit)
• TensorFlow (pip install tensorflow)
• NumPy (pip install numpy)
• Matplotlib (pip install matplotlib)

Usage

1. Clone the repository or download the app files.

2. Make sure you have installed the required dependencies mentioned above.

3. Open a terminal or command prompt and navigate to the directory containing app.py.

4. Run the following command to start the Streamlit app:

streamlit run app.py

1. Once the app is running, open your web browser and go to http://localhost:{PORT}.

2. Upload the image which you want to colourize and click on convert

NOTE

• As this model trains on CelabA dataset that's why it is only able to colorize the faces of humans

Acknowledgments

• The CelebA dataset for providing the celebrity face images for training the Pix to pix model.
• TensorFlow and Keras for their excellent machine learning frameworks.
• Streamlit for making it easy to build interactive web applications with Python.

Contact

If you have any questions or suggestions, feel free to contact us at [email protected].

Enjoy generating celebrity faces with GAN on Streamlit!