MUGSHOTGAN
a colab notebook to see what a version of you or someone you know might look behind the camera of local authorities.
I apologize for the very disorganazed and redundant parts of the colab. If I come up with cleaner solutions I will keep updating them.
All though this is the very first repository I created going in very happy, most of the code is taking verbatim from other sources, which I link in the colab and here as well with deep gratitude.
Please forgive me if I am using the platform incorrectly.
WITH CODE FROM THESE AUTHORS:
Pytorch pix2pix by Jun-Yan Zhu @junyanz https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
JoJoGAN CoLab by Min Jin Chong @ https://github.com/mchong6/JoJoGAN
REAL ESRGAN by Xintao @ https://github.com/xinntao/Real-ESRGAN.git
google-images-download by Hardik Vasa @hardikvasa forked by Joeclinton1 from https://github.com/Joeclinton1/google-images-download.git
Xavier Weber https://towardsdatascience.com/deep-learning-based-super-resolution-with-opencv-4fd736678066
http://dlib.net/imaging.html#get_frontal_face_detector
https://learnopencv.com/edge-detection-using-opencv/
@mohanapranes https://www.geeksforgeeks.org/cropping-faces-from-images-using-opencv-python/
@misc{sefiks14856, author ={Serengil, Sefik Ilkin}, title = { Facial Landmarks for Face Recognition with Dlib }, howpublished = { https://sefiks.com/2020/11/20/facial-landmarks-for-face-recognition-with-dlib/ }, year = { 2020 }, note = "[Online; accessed 2022-03-19]" }