Face-to-painting-machine

This project is to identify human face and produce portrait paintings based on the photo. This repo contains the codes, report and PPT for the project 'Face to painting machine' written by myself, Zhuoyan Xu and Cecily Liu for Prof.Sebastian Raschka's Deep Learning course at UW-Madison. All code has been written for and tested in Python 3.6.

Dataset

The Labeled Faces in the Wild (LFW) dataset we use in face recognition part can be downloaded from: http://vis-www.cs.umass.edu/lfw/

Face recognition

Part of codes we use in the face recognition section (ResNet 34 for example) can be seen in the script:

$ train_res34.ipynb

Neural Style Transfer

Part of codes we use in the neural style transfer section can be seen in the script:

$ Style.ipynb

Acknowledgement

Prof. Raschka's instruction, UW-Madison
STAT 479, UW-Madison

E-mail

Lingfeng Zhu:
lzhu88@wisc.edu
Zhuoyan Xu:
zxu444@wisc.edu
Cecily Liu:
qliu273@wisc.edu