Python 音频视频分离

通过脚本把视频的音频和视频分离存储到指定目录文件夹下

加入多线程提高处理速度

```
import os
import subprocess
from concurrent.futures import ThreadPoolExecutor
from tqdm import tqdm
 
# 定义输入和输出目录
input_directory = r'G:\day'
output_directory = r'G:\day\mp4_no_audio'
audio_output_directory = r'G:\day\audio'
 
# 确保输出目录存在
os.makedirs(output_directory, exist_ok=True)
os.makedirs(audio_output_directory, exist_ok=True)
 
# 获取所有MP4文件
files = [f for f in os.listdir(input_directory) if f.endswith('.mp4')]
 
def process_file(filename, pbar):
    input_file = os.path.join(input_directory, filename)
    output_video_file = os.path.join(output_directory, filename)
    output_audio_file = os.path.join(audio_output_directory, f"{os.path.splitext(filename)[0]}.mp3")
 
    # 构建FFmpeg命令分离音频
    command_audio = ['ffmpeg', '-i', input_file, '-q:a', '0', '-map', 'a', output_audio_file]
    subprocess.run(command_audio, stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT)
 
    # 构建FFmpeg命令分离视频
    command_video = ['ffmpeg', '-i', input_file, '-an', output_video_file]
    subprocess.run(command_video, stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT)
 
    # 更新进度条
    pbar.update(1)
 
# 使用多线程处理文件并显示进度条
with ThreadPoolExecutor(max_workers=4) as executor:
    with tqdm(total=len(files)) as pbar:
        futures = [executor.submit(process_file, filename, pbar) for filename in files]
        for future in futures:
            future.result()  # 确保捕获所有异常
 
print("批量处理完成！")
```

最后修改：2024 年 10 月 07 日

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