Comments (4)
ken-ouyang
commented on June 24, 2024
只需要把你得到的canonical image过一下controlnet或者其他风格转换工具（注意最好要对齐），然后把转换后的图放在test_canonical.sh中对应的文件夹，重新跑./scripts/test_canonical.sh即可。
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yinjiaoyuan
commented on June 24, 2024
那canonical image是如何得到的呢？
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yishuaidu
commented on June 24, 2024
你跑test那个就有
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yinjiaoyuan
commented on June 24, 2024
我是跑通了test，效果也是有了，但是我想用自己的mp4视频来做一个自己的视频风格转换，不知道如何下手，请问具体步骤是什么？难道每个视频我都要训练一次吗？谢谢。
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Related Issues (20)
- 错误似乎是在尝试使用skvideo库的ffmpeg模块写入视频帧时发生的。具体来说，您遇到了一个BrokenPipeError，这通常意味着子进程（在这种情况下是ffmpeg）在父进程尝试写入数据时已经终止或崩溃 HOT 1
- 重建视频很清楚，但是canonical图片很模糊 HOT 1
- No such file or directory: 'configs/StrangerThings/base.yaml'
- CUDA error: out of memory HOT 1
- 重建的transfomed视频是黑色的
- Question about the flow HOT 1
- How can I reduce the blur in my canonical image?
- Regarding pe_deformed_grid = (deformed_grid + 0.3) / 1.6 HOT 1
- 【BUG ?】 Problems about the background loss when `self_bg=False`
- a question about train code? HOT 1
- Some confusions about the code HOT 2
- why can't i run this application on windows10 OS?
- 请问一个不同视频就得训练一个模型吗 HOT 2
- problem of reconstruction by canonical image HOT 1
- i met some errors when run train step 1 in colab
- video translation 测试这一步具体是怎么实现的，该对哪个图片使用controlnet。那这个视频风格迁移的效果是取决于controlnet生图的效果吗
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- 在哪里指定prompt?
- 如何改变transform后的视频的风格呢？
- 视频中人物动作变化太快，训练出来的 canonical image 非常的模糊
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