跳至内容
文档
FAQ

FAQ

  1. pytorch3d安装不成功
    下载源码编译
git clone https://github.com/facebookresearch/pytorch3d.git
python setup.py install
  1. websocket连接报错
    修改python/site-packages/flask_sockets.py
self.url_map.add(Rule(rule, endpoint=f)) 改成 
self.url_map.add(Rule(rule, endpoint=f, websocket=True))
  1. protobuf版本过高
pip uninstall protobuf
pip install protobuf==3.20.1
  1. ernerf数字人不眨眼
    训练模型时添加如下步骤

Obtain AU45 for eyes blinking.
Run FeatureExtraction in OpenFace, rename and move the output CSV file to data/<ID>/au.csv.

将au.csv拷到本项目的data目录下

  1. 用自己训练的模型报错维度不匹配
    训练模型时用wav2vec提取音频特征
python main.py data/ --workspace workspace/ -O --iters 100000 --asr_model cpierse/wav2vec2-large-xlsr-53-esperanto
  1. rtmp推流时ffmpeg版本不对 网上版友反馈是需要4.2.2版本。我也不确定具体哪些版本不行。原则是运行一下ffmpeg，打印的信息里需要有libx264，如果没有肯定不行
--enable-libx264
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
conda install ffmpeg
  1. 替换自己训练的模型
.
├── data
│   ├── data_kf.json （对应训练数据中的transforms_train.json）
│   ├── au.csv			
│   ├── pretrained
│   └── └── ngp_kf.pth （对应训练后的模型ngp_ep00xx.pth）
  1. musetalk预处理数字人报错
'MMCV==2.2.0 is used but incompatible'

将pip版本降低到24.0

python -m pip install pip==24.0

然后再重新运行

mim install "mmdet>=3.1.0" 
mim install "mmpose>=1.1.0"
  • 如果报如下错误
'Adafactor is already registered in optimizer at torch.optim'

升级mmengine

mim install mmengine==0.10.7
  1. numpy版本不兼容
    报错：numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
    解决：降低numpy版本
pip install --upgrade "numpy==1.26.4"

  1. transformers版本不兼容
    报错：cannot import name ‘Dinov2WithRegistersConfig’ from ’transformers’
    解决：pip install transformers==4.50.0

  2. transformers版本不兼容
    ValueError: Due to a serious vulnerability issue in torch.load, even with weights_only=True, we now require users to upgrade torch to at least v2.6 in order to use the function
    解决：pip install transformers==4.50.0

  3. setuptools版本过高
    Please install face_recognition_models with this command before using face_recognition
    解决：pip install “setuptools<81”

其他参考 https://github.com/lipku/metahuman-stream/issues/43#issuecomment-2008930101

商用版