【复现】DiffTalk_difftalk复现

code：GitHub - sstzal/DiffTalk: [CVPR2023] The implementation for "DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation"

2024.1.13注：这篇文章的效果没有参考意义，不再尝试复现

问题1. ERROR: Failed building wheel for pysptk

      Cython.Compiler.Errors.CompileError: pysptk/_sptk.pyx
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for pysptk
Failed to build pysptk
ERROR: Could not build wheels for pysptk, which is required to install pyproject.toml-based projects

问题 2. ModuleNotFoundError: No module named 'ldm'

Traceback (most recent call last):
  File "scripts/inference.py", line 7, in <module>
    from ldm.util import instantiate_from_config
ModuleNotFoundError: No module named 'ldm'

问题3. 安装依赖失败

pip install -e git+https://github.com/CompVis/taming-transformers.git@24268930bf1dce879235a7fddd0b2355b84d7ea6#egg=taming_transformers

Obtaining clip from git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1#egg=clip
  Cloning https://github.com/openai/CLIP.git (to revision d50d76daa670286dd6cacf3bcd80b5e4823fc8e1) to ./src/clip
  Running command git clone --filter=blob:none --quiet https://github.com/openai/CLIP.git /data/DiffTalk-main/src/clip
  fatal: unable to access 'https://github.com/openai/CLIP.git/': Failed to connect to github.com port 443: Connection timed out
  error: subprocess-exited-with-error
  
  × git clone --filter=blob:none --quiet https://github.com/openai/CLIP.git /data/DiffTalk-main/src/clip did not run successfully.
  │ exit code: 128
  ╰─> See above for output.
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
 
× git clone --filter=blob:none --quiet https://github.com/openai/CLIP.git /data/DiffTalk-main/src/clip did not run successfully.
│ exit code: 128
╰─> See above for output.
 
note: This error originates from a subprocess, and is likely not a problem with pip.

 解决：拿出来单独下载，加镜像源：

pip install -e git+https://github.com/CompVis/taming-transformers.git@24268930bf1dce879235a7fddd0b2355b84d7ea6#egg=taming_transformers -i https://pypi.douban.com/simple/

网络问题看脸色，多试几次

问题4. 下载HDTF数据集

在github上找到了别人写的下载脚本：Modified version of the script to download both audio and video by yukyeongleee · Pull Request #11 · MRzzm/HDTF · GitHub

下载tqdm 和youtube-dl库即可

但是报错：connect：network is unreachable

卡了两天，试过各种办法都没有解决，包括且不限于，改为全局代理、添加--proxy设置、偶然发现这可能是因为我用的vscode服务器是linux系统，于是尝试在自己的电脑上下载，成功解决了这个报错

报错2：ERROR: Unable to extract uploader id

ERROR: Unable to extract uploader id; please report this issue on https://yt-dl.org/bug . Make sure you are using the latest version; see  https://yt-dl.org/update  on how to update. Be sure to call youtube-dl with the --verbose flag and include its complete output.

解决：参考youtube-dl报错解决_error: unable to extract uploader id;-CSDN博客

把youtube-dl换成yt-dlp即可~

def download_video(video_id, download_path, resolution: int=None, video_format="mp4", log_file=None):
    """
    Download video from YouTube.
    :param video_id:        YouTube ID of the video.
    :param download_path:   Where to save the video.
    :param video_format:    Format to download.
    :param log_file:        Path to a log file for youtube-dl.
    :return:                Tuple: path to the downloaded video and a bool indicating success.
    Copy-pasted from https://github.com/ytdl-org/youtube-dl
    """
    # if os.path.isfile(download_path): return True # File already exists
 
 
    if log_file is None:
        stderr = subprocess.DEVNULL
    else:
        stderr = open(log_file, "a")
    # video_selection = f"bestvideo[ext={video_format}]"
    # video_selection = video_selection if resolution is None else f"{video_selection}[height={resolution}]"
 
    video_selection = f"bestvideo[ext={video_format}]+bestaudio[ext=m4a]/best[ext={video_format}]"
    video_selection = video_selection if resolution is None else f"{video_selection}[height={resolution}]"
    command = [
        "yt-dlp",
        "https://youtube.com/watch?v={}".format(video_id), "--quiet", "-f",
        video_selection,
        "--output", download_path,
        "--no-continue"
    ]
    return_code = subprocess.call(command, stderr=stderr)
    success = return_code == 0
 
    if log_file is not None:
        stderr.close()
 
    return success and os.path.isfile(download_path)

_videos_raw文件夹里的是原始视频，后缀000的是处理过后的视频

问题5：视频预处理

安装DiffTalk的要求，还要对视频进一步处理：设置为25 fps；提取音频信号和面部特征点。

问题6：如何分割数据集和验证集？

数据目录下，有用于验证的data_test.txt和用于训练的data_train.txt。如何分割数据集?通过肖像还是视频?通过肖像是指训练集中的人物在验证集中不重复出现。通过视频是指随机地将所有视频放入训练和验证集。train_name.txt和data_train.txt之间的关系是什么？

话说这个model.ckpt是什么，作者没给预训练权重吗

以及，指定使用哪个gpu运行，是要写在sh脚本里的，比如run.sh：

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python main.py --base configs/latent-diffusion/talking.yaml -t --gpus 0,1,2,3,4,5,6,7,