Comments (7)
Which dataset are you training on?
from wav2lip.
Which dataset are you training on?
The dataset is made by myself with around 18 minutes for one person.
from wav2lip.
There could be multiple issues when you are training on such a small dataset of a single person. We are unable to comment on why exactly it is not working. Note that you must train the Expert discriminator on your new dataset before training Wav2lip. Good luck with your experiment!
from wav2lip.
There could be multiple issues when you are training on such a small dataset of a single person. We are unable to comment on why exactly it is not working. Note that you must train the Expert discriminator on your new dataset before training Wav2lip. Good luck with your experiment!
Yep, I tried to train the expert discriminator first. Can u plz tell me the trend of loss value when you trained the LRS2 dataset?
from wav2lip.
The eval/train sync loss goes down to: ~0.2. The eval/train L1 loss goes down to ~0.02.
from wav2lip.
The eval/train sync loss goes down to: ~0.2. The eval/train L1 loss goes down to ~0.02.
Got it, thanks for your sharing.
from wav2lip.
Please ask a question, when training the expert discriminator, do you need to reduce the averaged_loss below 0.25?
from wav2lip.
Related Issues (20)
- video clips length
- 请问一下训练完这个项目的评价指标怎么查看呢
- wav2lip288x288 HOT 2
- 训练syncnet报错:RuntimeError: DataLoader worker (pid 899437) is killed by signal: Segmentation fault. ,训练到第290000结束后报错:,请问有人遇到过这个问题吗? HOT 1
- FileNotFoundError: [WinError 2] the specified file cannot be found HOT 2
- IndexError: list index out of range HOT 1
- Strange line in chin
- 有出训练好的模型的吗,联系我
- Could not build wheels for opencv-contrib-python HOT 1
- 按照官方步骤从0开始训练CMLR中文数据集,结果最终视频和音频对应不上 HOT 2
- HELPPP ERROR ModuleNotFoundError: No module named 'ffmpeg' HOT 4
- Who needs high-quality lip sync - contact me! HOT 1
- 我的研究进展
- Higher Temporal Context window for Syncnet
- wav2lip not working for me please help!!! HOT 2
- First step not working for me! HOT 2
- Question abount get_segmented_mels
- Traceback (most recent call last): File "inference.py", line 280, in <module> main() File "inference.py", line 250, in main total=int(np.ceil(float(len(mel_chunks))/batch_size)))): File "D:\lq\anaconda3\envs\wav2lip\lib\site-packages\tqdm\std.py", line 1127, in __iter__ for obj in iterable: File "inference.py", line 113, in datagen face_det_results = face_detect(frames) # BGR2RGB for CNN face detection File "inference.py", line 92, in face_detect raise ValueError('Face not detected! Ensure the video contains a face in all the frames.') ValueError: Face not detected! Ensure the video contains a face in all the frames.
- 出wav2lip高清通用模型256尺寸,包含推理代码,oonx加速推理。需要微信 tke365
- wav2lip [mp3 @ 000002a6d5b45d80] Estimating duration from bitrate, this may be inaccurate HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from wav2lip.