Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data Download:
Download the following folder and files.

  • lrs3/
  • lrs3_2d_pretrain_b_1024.csv
  • lrs3_2d_pretrain_b_128.csv
  • hic-mae7/

Put lrs3/ folder in your local ${DATA_ROOT} directory.

Put lrs3_2d_pretrain_b_1024.csv, lrs3_2d_pretrain_b_128.csv files in ./preprocess directory.

After downloading, the folder structures will be as below.

    ${DATA_ROOT}
    ├── lrs3        # LRS3 Dataset
    │   ├── 00j9bKdiOjk
    │   │   ├── 00001_00
    │   │   ├── 00002_00
    │   │   ├── ...
    │   │   └── ...             
    │   ├── 04SEzifEsGg                                        
    │   ├── ...          
    └── └── ...                 
     

    AVRep
    ├── preprocess        
        ├── lrs3_2d_pretrain_b_1024.csv
        ├── lrs3_2d_pretrain_b_128.csv
        ├── ... 
        └── ...

Prepare the environment:

conda env create -f environment.yaml
conda activate hicmae
pip uninstall torch torchvision torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117

만약, 다음 환경으로 에러가 계속 발생하면

  • hic-mae7/

환경을 복사해서 사용해주세요!

conda create -n hicmae --clone hic-mae7

Run script:

  1. lrs3_1024
sh ./scripts/voxceleb2/audio_visual/hicmae_pretrain_base/pretrain_base_cy_syncnet_lrs3_1024.sh ${DATA_ROOT}
  1. lrs3_128
sh ./scripts/voxceleb2/audio_visual/hicmae_pretrain_base/pretrain_base_cy_syncnet_lrs3_128.sh ${DATA_ROOT}

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages