Comments (2)
Check if you get any future errors while running the actual code. In our experience, you should not get errors.
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The updated requirements.txt
should not give you the TensorFlow error at least.
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Related Issues (20)
- wav2lip高清模型训练交流:已经收敛到0.28 HOT 7
- RuntimeError
- Teleporting lips when person in the video is not speaking
- ERROR: Failed building wheel for opencv-contrib-python HOT 1
- 高清模型训练交流,192、224、448、384、256、512等尺寸,加个V
- how can i get 128x128 resolution output 如何获得128x128尺寸的虚拟数字人?
- 经过gfpgan处理,中文数据集,脸部有抖动 | After processing with gfpgan, the Chinese dataset shows facial tremors
- 为什么我在服务器上训syncnet会导致服务器卡住呢? HOT 1
- Licensing & commercial use
- Why is my loss always 0 HOT 3
- Version incompatibility in librosa results in an arity error when calling librosa.filters.mel() HOT 4
- Test LRW question
- How can you run it in Windows? HOT 1
- why can I run successful in interactive demo but fail in cloud model. Hint is Unable to detect face frame
- ValueError: Face not detected! Ensure the video contains a face in all the frames. HOT 2
- HELP: Understanding the Loss Parameters for hq_wav2lip_train
- Wav2Lip 报错TypeError: mel() takes 0 positional arguments but 2 positional arguments (and 3 keyword-only arguments) were given HOT 7
- RuntimeError: Image too big to run face detection on GPU. Please use the --resize_factor argument HOT 1
- 合成的视频效果很差 很模糊 而且感觉嘴型有一层图层 如何优化?
- 双卡GPU 运行 音视频合并好像无效 HOT 1
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