Comments (3)
- Make sure you have the latest version of the skvideo library. You can update skvideo by running the following command:
pip install --upgrade sk-video
- Check if your ffmpeg has been compiled with the necessary components, such as libx264. If not, you'll need to recompile or reinstall ffmpeg. I resolved the issue by reinstalling ffmpeg. To reinstall ffmpeg on Ubuntu, you can use the following commands. Please note that it may take some time:
apt-get -y install software-properties-common
add-apt-repository ppa:jonathonf/ffmpeg-4
apt-get update
apt-get -y install ffmpeg
from codef.
If you use conda, it is likely that conda's ffmpeg conflicts with:
/usr/bin/ffmpeg
you can uninstall:
conda uninstall ffmpeg
from codef.
- Make sure you have the latest version of the skvideo library. You can update skvideo by running the following command:确保您拥有最新版本的 skvideo 库。您可以通过运行以下命令来更新 skvideo:
pip install --upgrade sk-video
- Check if your ffmpeg has been compiled with the necessary components, such as libx264. If not, you'll need to recompile or reinstall ffmpeg. I resolved the issue by reinstalling ffmpeg. To reinstall ffmpeg on Ubuntu, you can use the following commands. Please note that it may take some time:检查您的 ffmpeg 是否已使用必要的组件进行编译,例如 libx264。如果没有,您需要重新编译或重新安装 ffmpeg。我通过重新安装 ffmpeg 解决了这个问题。要在 Ubuntu 上重新安装 ffmpeg,可以使用以下命令。请注意,这可能需要一些时间:
apt-get -y install software-properties-common add-apt-repository ppa:jonathonf/ffmpeg-4 apt-get update apt-get -y install ffmpeg
weird,it told me this:
(codef) po@P:~/CoDeF$ sudo add-apt-repository ppa:jonathonf/ffmpeg-4
Backport of FFmpeg 4 and associated libraries. Now includes AOM/AV1 support!
FDK AAC is not compatible with GPL and FFmpeg can't be redistributed with it included. Please don't ask for it to be added to this public PPA.
PPA supporters:
BigBlueButton (https://bigbluebutton.org)
Donate to FFMPEG: https://ffmpeg.org/donations.html
Donate to Debian: https://www.debian.org/donations
Donate to this PPA: https://ko-fi.com/jonathonf
More info: https://launchpad.net/~jonathonf/+archive/ubuntu/ffmpeg-4
Press [ENTER] to continue or Ctrl-c to cancel adding it.
Get:1 file:/var/cuda-repo-wsl-ubuntu-11-8-local InRelease [1575 B]
Get:2 file:/var/cudnn-local-repo-ubuntu2004-8.9.3.28 InRelease [1572 B]
Get:1 file:/var/cuda-repo-wsl-ubuntu-11-8-local InRelease [1575 B]
Get:2 file:/var/cudnn-local-repo-ubuntu2004-8.9.3.28 InRelease [1572 B]
Hit:3 http://security.ubuntu.com/ubuntu focal-security InRelease
Hit:4 http://archive.ubuntu.com/ubuntu focal InRelease
Ign:5 http://ppa.launchpad.net/jonathonf/ffmpeg-4/ubuntu focal InRelease
Hit:6 http://archive.ubuntu.com/ubuntu focal-updates InRelease
Hit:7 http://archive.ubuntu.com/ubuntu focal-backports InRelease
Err:8 http://ppa.launchpad.net/jonathonf/ffmpeg-4/ubuntu focal Release
404 Not Found [IP: 198.18.2.217 80]
Reading package lists... Done
E: The repository 'http://ppa.launchpad.net/jonathonf/ffmpeg-4/ubuntu focal Release' does not have a Release file.
N: Updating from such a repository can't be done securely, and is therefore disabled by default.
N: See apt-secure(8) manpage for repository creation and user configuration details.
from codef.
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? HOT 1
- 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
- Codef
- 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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