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* probe video metadata via ffprobe in vision Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a * probe video metadata via ffprobe in vision Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
119 lines
3.4 KiB
Python
119 lines
3.4 KiB
Python
import subprocess
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from functools import lru_cache
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from typing import Dict, List
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from facefusion import ffprobe_builder
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from facefusion.types import AudioMetadata, Buffer, Command, Fps, VideoMetadata
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def run_ffprobe(commands : List[Command]) -> subprocess.Popen[Buffer]:
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commands = ffprobe_builder.run(commands)
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return subprocess.Popen(commands, stderr = subprocess.PIPE, stdout = subprocess.PIPE)
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def parse_entries(output : Buffer) -> Dict[str, str]:
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media_entries = {}
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if output:
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lines = output.decode().strip().splitlines()
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for line in lines:
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if '=' in line:
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key, value = line.split('=', 1)
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media_entries[key] = value
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return media_entries
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def probe_audio_entries(audio_path : str, entries : List[str]) -> Dict[str, str]:
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commands = ffprobe_builder.chain(
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ffprobe_builder.select_stream('a:0'),
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ffprobe_builder.show_stream_entries(entries),
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ffprobe_builder.format_to_key_value(),
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ffprobe_builder.set_input(audio_path)
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)
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output, _ = run_ffprobe(commands).communicate()
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return parse_entries(output)
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def probe_video_entries(video_path : str, entries : List[str]) -> Dict[str, str]:
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commands = ffprobe_builder.chain(
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ffprobe_builder.select_stream('v:0'),
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ffprobe_builder.show_stream_entries(entries),
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ffprobe_builder.format_to_key_value(),
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ffprobe_builder.set_input(video_path)
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)
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output, _ = run_ffprobe(commands).communicate()
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return parse_entries(output)
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def probe_format_entries(media_path : str, entries : List[str]) -> Dict[str, str]:
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commands = ffprobe_builder.chain(
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ffprobe_builder.show_format_entries(entries),
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ffprobe_builder.format_to_key_value(),
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ffprobe_builder.set_input(media_path)
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)
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output, _ = run_ffprobe(commands).communicate()
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return parse_entries(output)
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def extract_audio_metadata(audio_path : str) -> AudioMetadata:
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audio_entries = probe_audio_entries(audio_path, [ 'sample_rate', 'channels' ])
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format_entries = probe_format_entries(audio_path, [ 'duration', 'bit_rate' ])
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duration = float(format_entries.get('duration'))
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sample_rate = int(audio_entries.get('sample_rate'))
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frame_total = int(duration * sample_rate)
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channel_total = int(audio_entries.get('channels'))
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bit_rate = int(format_entries.get('bit_rate'))
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audio_metadata : AudioMetadata =\
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{
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'duration' : duration,
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'frame_total' : frame_total,
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'channel_total' : channel_total,
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'sample_rate' : sample_rate,
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'bit_rate' : bit_rate
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}
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return audio_metadata
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@lru_cache(maxsize = 128)
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def extract_video_metadata(video_path : str) -> VideoMetadata:
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video_entries = probe_video_entries(video_path, [ 'width', 'height', 'r_frame_rate', 'color_transfer' ])
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format_entries = probe_format_entries(video_path, [ 'duration', 'bit_rate' ])
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duration = float(format_entries.get('duration'))
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fps = extract_video_fps(video_entries.get('r_frame_rate'))
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frame_total = int(duration * fps)
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width = int(video_entries.get('width'))
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height = int(video_entries.get('height'))
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bit_rate = int(format_entries.get('bit_rate'))
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color_transfer = video_entries.get('color_transfer', 'unknown')
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video_metadata : VideoMetadata =\
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{
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'duration' : duration,
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'frame_total' : frame_total,
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'fps' : fps,
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'resolution' : (width, height),
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'bit_rate' : bit_rate,
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'color_transfer' : color_transfer
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}
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return video_metadata
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def extract_video_fps(frame_rate : str) -> Fps:
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if frame_rate and '/' in frame_rate:
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numerator, denominator = frame_rate.split('/')
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if int(numerator) and int(denominator):
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return int(numerator) / int(denominator)
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return 0.0
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