ubuntu 如何在docker容器中设置ffmpeg

kb5ga3dv  于 2022-11-22  发布在  Docker
关注(0)|答案(2)|浏览(249)

我想压缩视频从项目目录使用ffmpeg在python
cv2.VideoCapture(rtsp_url)保存视频
通常它在我的本地机器上运行没有问题,但当我停靠我的应用程序时,它似乎无法识别ffmpeg或我错过了一些东西。

def compress(name):
    with open(name) as f:
        output = name[0:-4] + "-f"+ ".mp4"
        input = name
        subprocess.run('ffmpeg -i ' + input + ' -vcodec libx264 ' + output)

video = cv2.VideoCapture(rtsp_url) # This is where the video comming from
fileName = saveToProjDir(video) # Save the video to project directory and return the name
compress(fileName) # Compress the video

抛出异常

Exception in thread Thread-8 (compress):
Traceback (most recent call last):
  File "/usr/local/lib/python3.11/threading.py", line 1038, in _bootstrap_inner
    self.run()
  File "/usr/local/lib/python3.11/threading.py", line 975, in run
    self._target(*self._args, **self._kwargs)
  File "/app/main.py", line 59, in compress
    subprocess.run('ffmpeg -i ' + input + ' -vcodec libx264 ' + output)
  File "/usr/local/lib/python3.11/subprocess.py", line 546, in run
    with Popen(*popenargs, **kwargs) as process:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/subprocess.py", line 1022, in __init__
    self._execute_child(args, executable, preexec_fn, close_fds,
  File "/usr/local/lib/python3.11/subprocess.py", line 1899, in _execute_child
    raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'ffmpeg -i cam1_2022-11-15125845.avi -vcodec libx264 cam1_2022-11-15125845-f.mp4'

这是我如何对接我的python应用程序。

FROM python:3.11.0

WORKDIR /app/

ENV VIRTUAL_ENV = /env
RUN python3 -m venv $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"

COPY requirements.txt .

RUN pip install -r requirements.txt
RUN apt-get -y update
RUN apt-get install ffmpeg libsm6 libxext6  -y

ADD main.py .
CMD ["python","/app/main.py"]
ffvjumwh

ffvjumwh1#

如果问题开头提到的python脚本是main.py的内容,那么实现方面就很少有问题:

  • 您不能以python:3.11.0作为基础映像运行docker。
  • 您需要装载带有视频的卷,并只在容器内处理它们。
9jyewag0

9jyewag02#

为了调试您的问题,我的建议是交互地使用您的容器。
尝试运行一个新容器,如下所示:

docker run -t -i <image-name-or-container-id> /bin/bash

或连接到您的跑步容器:

docker exec -i -t <container-id> /bin/bash

这样你就可以玩了,试着从不同的路径启动ffmpeg,安装其他的依赖项,最后看看你错过了什么。

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