quantarb

`import numpy as np import cv2 import os from parsing_model.model import BiSeNet import torchvision.transforms as transforms import torch def encode_segmentation_rgb(segmentation, no_neck=True): parse = segmentation face_part_ids = [1, 2, 3, 4,...

I figured out how to get the simswap use_mask to work with sber-swap. You need to copy the parsing_model folder from simswap git repo and model file to use [face-parsing.PyTorch](https://github.com/zllrunning/face-parsing.PyTorch)....

I must warn you that my implementation is really basic. Due to my limited computer vision knowledge, I did not implement all of simswap's masking features like smoothing. Finally, I...

I cleaned up the code and improved the documentation. This notebook has examples of how to do a single image swap, single video swap, and a folder swap. I tried...

> nice job!image swap works well but video swap result skip a lot of facial alignments,certainly needs an improvment. thank you for your work! Please see the new colab notebook....

> > > nice job!image swap works well but video swap result skip a lot of facial alignments,certainly needs an improvment. thank you for your work! > > > >...

> I've been working on this. I added GPEN for the face restoration, SimSwap mask, optimized the code, and cut down the existing code base by like 70%. Still testing,...

Hi @alanakbik , thank you for your quick response. I tried to split up the tokens based on the offset positions, but I'm having problems restructoring my original flair sentence...

Hi @LeslieZhoa , I really appreciate you creating the colab. It works great! If there are multiple faces, how you define the face you wish to swap? Also, is it...