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| # process dataset | |
| we use Talking-Head-1K-Hour as the example. | |
| ## download and crop the talking person video clips | |
| - Please follow the step in [https://github.com/tcwang0509/TalkingHead-1KH](https://github.com/tcwang0509/TalkingHead-1KH) | |
| - Put all extracted video clips in a directory like `/home/xxx/TH1KH_512/video_raw/*.mp4` | |
| ## resample & resize video clips to 512x512 resolution and 25FPS | |
| - You can use the example code in `data_gen/utils/process_video/resample_video_to_25fps_resize_to_512.py` | |
| - It will generate processed video clips in `/home/xxx/TH1KH_512/video/*.mp4` | |
| ## extract segment images | |
| - You can use the example code in `data_gen/utils/process_video/extract_segment_imgs.py` | |
| - It will generate segment images in `/home/xxx/TH1KH_512/{gt_imgs, head_imgs, inpaint_torso_imgs, com_imgs}/*` | |
| ## extract 2d facial landmark | |
| - You can use the example code in `data_gen/utils/process_video/extract_lm2d.py` | |
| - It will generate 2d landmarks in `/home/xxx/TH1KH_512/lms_2d/*_lms_2d.npy` | |
| ## extract 3dmm coefficients | |
| - You can use the example code in `data_gen/utils/process_video/fit_3dmm_landmark.py` | |
| - It will generate 3dmm coefficients in `/home/xxx/TH1KH_512/coeff_fit_mp/*_coeff_fit_mp.npy` | |
| ## extract audio features | |
| - You can use the example code in `data_gen/utils/process_audio/extract_mel_f0.py` | |
| - It will generate raw wav in `/home/xxx/TH1KH_512/audio/*.wav` and mel_f0 in `/home/xxx/TH1KH_512/mel_f0/*_mel_f0.npy` | |
| - You can use the example code in `data_gen/utils/process_audio/extract_hubert.py` | |
| - It will generate hubert in `/home/xxx/TH1KH_512/hubert/*_hubert.npy` | |
| ## Binarize the dataset | |
| - You can use the example code in `data_gen/runs/binarizer_th1kh.py` | |
| - You will see a binarized dataset at `data/binary/th1kh` | |