Generate images of new and realistic human faces using CelebA dataset (This Project is part from Udacity's deep learning nanodegree).
In this project, we will define and train a DCGAN(Deep Convolutional Generative Adversarial Networks) on a dataset of faces. our goal is to get a generator network to generate new images of faces that look as realistic as possible!
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Clone the repository and navigate to the downloaded folder.
git clone https://github.com/noureldinalaa/Face_Generation.git cd Face_generation -
Download the CelebFaces Attributes Dataset (CelebA).Unzip the folder and place it in the repo.
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Install packages like pytorch and torch vision and some pip packages in requirements text file :
conda install pytorch torchvision -c pytorch pip install -r requirements.txt -
Open a terminal window and navigate to the project folder. Open the notebook and follow the instructions.
jupyter notebook dlnd_face_generation.ipynb