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einsqing zhangsanfeng86 monk-after-90s langzizhixin yangningbo clotyxf minaross imaxwel zhangziliang04 pustar zhangbo2008 nsioo yuantao1880 syunar zhunge yyheart wanglg007 wangbaochao 1006000670 orangels erickong1985 chouchou-ddd shuiniu86 xunnew hnsywangxin xxsuper jinwonkim93 liujiaqi0505 ewayboy xiaogit23 silkcutks baron2050 cncbec liuqqwwe zhuxiu1234 wawaa ccc0168 likethis85 mlpolaris jsfgit xskyz gaobowen beike-org gooftime jinqinn workerhanwav2lip384's Issues
mask_ Margin=8 and syncnet？
The first stage (sync) uses the lower half of the face, while the second stage (wav2lip) uses the lower half of the face and mask_ Margin=8, will these two different data processing methods affect the discrimination effect of sync? In my experiment, the sync loss in the second stage remained around 6.5(normally less than 1).
the result of inference not true
模型权重在哪下载？
我感觉这行代码应该是错了
应该改成
vidname_mel = self.all_videos[idx]
否则 训练的音频视频不是同一个文件.
About pretrained model and custom dataset
Hello, this is a great project, I would like to ask, does this project have pre-trained models? If not, how long should the dataset be? Do I need videos of multiple people or just one person?
What's a good amount of wav2lip data amount?
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