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Face-Generator-GAN

Face Generation using DCGAN

DCGAN

Architecture Radford et al., 2015

Dependencies:

  • We should first create an environment to run the project using conda (For conda installation you can refer - Conda)

  • Once Conda is installed create an environment using

conda create --n env
activate env
  • Install the necesary packages mentioned in the requirements.txt:Pytorch:
pip install -r requirements.txt

Installation:

  • In order to run the project on the local computer, make sure we have git installed on the local computer.
  • Type git --version in the cmd, if the version number appear then you can proceed further with cloning the repo.Refer to the documentation for installing git in case you don't have git installed.
  • To clone type git clone https://github.com/kshitiz-1225/Face-Generator-GAN.git
  • Move to the project directory using cd Face-Generator-GAN
  • Run the filename: Face_Generation.ipynb

Dataset Link

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Face Generation using DCGAN

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  • Jupyter Notebook 99.2%
  • Python 0.8%