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使用ER-NeRF+hubert模式实时推理,出来的画面感觉嘴形与声音对不上。
但是直接使用ER-NeRF推理出来的效果就挺好的。
请问有办法解决吗?
ER-NeRF推理结果:
https://github.com/lipku/metahuman-stream/assets/174017561/e41b53e4-1f52-4650-9323-f77489d2a517
meta…
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thans for your great work.when i use the docker,and root@4133cb1494b4:/workspace# python nerfstudio/scripts/train.py neurad pandaset-data
╭─ Parsing error ────────────────────────────────────────────…
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win11系统,conda下,执行pip install ./raycharming 成功
(Vach) PS D:\Metahuman\Vach\talkers\er_nerf> pip install ./raymarching
Processing d:\metahuman\vach\talkers\er_nerf\raymarching
Preparing metadata (s…
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PL,add er-nerf ?
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(geneface) G:\SplitterDemo\digiPerson\ER_NeRF\raymarching>python setup.py build_ext --inplace
nt
0
running build_ext
building '_raymarching_face' extension
Emitting ninja build file G:\SplitterDe…
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There is an error when I test Obama video clip with windows11 and pytorch 2.1.0+cu121, the error as below:
(ernerf) C:\Users\zhou\ai\ER-NeRF>python main.py data/obama/ --workspace trial_obama/ -O …
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(ernerf) root@autodl-container-ea5a488e8d-86f88d50:/home/aigc/ER-NeRF# python data_utils/process.py data/vic/vic.mp4 --task 8
[INFO] ===== perform face tracking =====
Traceback (most recent call las…
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我发现 torchaudio.pipelines.HUBERT_ASR_LARGE输出的音频特征的维度是 (m, 29), DeepSpeech v0.1输出的音频特征的维度是 (n, 29),m和n相差不大,Wav2vecDS的作用是将 (m, 29)维度的特征映射到 (n, 29)维度。
我在想是不是可以把 Wav2vecDS做得更加通用一些,支持将任意维度的特征映射到 (n, 29)维度,…