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Usage: `ffmpeg.probe('pipe:', input=video_bytes)`. The API is similar to `fmpeg.run()`.
https://github.com/kkroening/ffmpeg-python/tree/master/examples#tensorflow-streaming
This is helpful when we want to probe the video bytes in a database.
30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
import json
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import subprocess
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from ._run import Error
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from ._utils import convert_kwargs_to_cmd_line_args
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def probe(filename, cmd='ffprobe', input=None, timeout=None, **kwargs):
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"""Run ffprobe on the specified file and return a JSON representation of the output.
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Raises:
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:class:`ffmpeg.Error`: if ffprobe returns a non-zero exit code,
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an :class:`Error` is returned with a generic error message.
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The stderr output can be retrieved by accessing the
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``stderr`` property of the exception.
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"""
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args = [cmd, '-show_format', '-show_streams', '-of', 'json']
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args += convert_kwargs_to_cmd_line_args(kwargs)
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args += [filename]
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p = subprocess.Popen(
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args, stdin=None if input is None else subprocess.PIPE,
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stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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out, err = p.communicate(input=input, timeout=timeout)
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if p.returncode != 0:
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raise Error('ffprobe', out, err)
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return json.loads(out.decode('utf-8'))
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__all__ = ['probe']
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