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hd_wav2lip_f's Introduction

This repo is based on wav2lip but finally failed. The visualization results is not good. Maybe should adjust weight between L1 and sync loss. https://user-images.githubusercontent.com/27955693/118396001-015eef00-b680-11eb-8a58-e1acb46a03c1.mp4

  • 1.Preprocessing

 python preprocess.py --data_root  ../videos/main/fps_corrected_video  --preprocessed_root ../videos/lrs2_preprocessed/
    1. Split the data
python split_data.py
    1. train discriminator

python color_syncnet_train.py --data_root ../videos/oir_format_new_dataset --checkpoint_dir checkpoints --checkpoint_path checkpoints/lipsync_expert.pth
    1. train the model
python hq_wav2lip_train.py --data_root ../videos/lrs2_preprocessed/HQ_face/ --checkpoint_dir checkpoints --syncnet_checkpoint_path  checkpoints/lip_trained900.pth --checkpoint_path checkpoints/checkpoint_step000021500.pth
    1. inference the model

python inference.py --checkpoint_path checkpoints/checkpoint_step000021500.pth --face ../videos/main/fps_corrected_video/video-3-0-4a.mp4 --audio ../dictator_orig.wav
CUDA_VISIBLE_DEVICES=1 python inference.py --checkpoint_path checkpoints/checkpoint_step000000200.pth --face ../video-0-0-1a.mov --audio ../dictator_orig.wav

#thanks for my girl friend Yue li's support

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