monicasai7 / project-face-generation-udacity

This is the fourth project of Udacity's Deep Learning Nanodegree Program (Using a DCGAN on the CelebA dataset to generate images of new and realistic human faces.)

Project-Face-Generation-Udacity

This is the fourth project of Udacity's Deep Learning Nanodegree Program (Using a DCGAN on the CelebA dataset to generate images of new and realistic human faces.)

Project Overview: Face Generation using DCGAN

In this project, I have defined and trained a DCGAN on a dataset of faces. My goal was to get a generator network to generate new images of faces that look as realistic as possible! Similar to this https://www.thispersondoesnotexist.com/

At the end of the project, I was able to visualize the results of my trained Generator to see how it performsed; my generated samples looked like fairly realistic faces with small amounts of noise.

Installation:

1. For running this project on your local computer, first make sure you have git by typing git --version on cmd, if version number appears that means you have git installed. Go ahead and clone the repository:

git clone https://github.com/Sidrah-Madiha/Project-Face-Generation-Udacity.git
cd Project-Face-Generation-Udacity

2. Now please open the file with filename: dlnd_face_generation.ipynb

Dependencies:

• Make sure to create an environment for running this project using conda (you can install Miniconda for this

• Once you have Miniconda installed, please make an environment for the project like so:

conda create --name face_generation python=3.6
activate face_generation

• Install Pytorch:

conda install pytorch -c pytorch
pip install torchvision

• Install a few required pip packages, which are specified in the requirements text file.

pip install -r requirements.txt