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how to use syncnet_python and training steps #124
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代码没问题的,你可以参考本工程的 ./evaluation/scores_LSE/calculate_scores_real_videos |
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是的,将offset和confidence评估不符合的数据从数据集移除 |
感谢,我现在就去试试 |
兄弟,我有个新的疑惑想向你确认一下,offset据作者说[-1,1]是最合适的,那么confidence呢。应该怎么判断是否符合,大于3? |
作者说的是 [6,9],我用的是 >= 5 |
万分感谢 |
太郎兄你好,我已经参考evaluation/scores_LSE/calculate_scores_LRS.py,将不满足offset[-1, 1], confidence[6, 9]得数据进行了移除,几乎去掉了lrs2中1/3的数据,但是我的鉴别器损失还是卡在0.69附近,你对此有什么经验或建议吗 |
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你好,请问是否需要训练中文的syncnet模型? |
问题解决了吗,我也遇到同样的问题了,请教一下解决方案 |
你好,我用整个LRS2 dataset和这个 repo 是能train出来结果的,你可以试试能不能用这个train? |
Is this process correct?
Especially, I want to know if the third step is correct!
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