#3653 TaskCfgVTT(is_cuda=True, uuid='fc2770f023', cache_folder='D:/win-pyvideotrans-v3.98-314/tmp/2608/fc2770f023', target_dir

2a01:7e03* Posted at: 1 day ago 👁22

合并阶段出错 出错了,可能内存或显存不足
A child process terminated abruptly, the process pool is not usable anymore
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 280, in _new_process
File "videotrans\process\signelobj.py", line 81, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\task\job.py", line 288, in run
File "videotrans\task\trans_create.py", line 789, in assembling
File "videotrans\task\trans_create.py", line 1251, in _join_video_audio_srt
File "videotrans\task\trans_create.py", line 530, in recogn2pass
File "videotrans\recognition\__init__.py", line 265, in run
File "videotrans\recognition\_base.py", line 143, in run
File "videotrans\recognition\_overall.py", line 33, in _exec
File "videotrans\recognition\_overall.py", line 105, in _faster
File "videotrans\configure\_base.py", line 294, in _new_process
RuntimeError: 出错了,可能内存或显存不足
A child process terminated abruptly, the process pool is not usable anymore
TaskCfgVTT(is_cuda=True, uuid='fc2770f023', cache_folder='D:/win-pyvideotrans-v3.98-314/tmp/2608/fc2770f023', target_dir='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/_video_out/21 - White Noise-mp4', source_language='英语', source_language_code='en', source_sub='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/_video_out/21 - White Noise-mp4/en.srt', source_wav='D:/win-pyvideotrans-v3.98-314/tmp/2608/fc2770f023/en.wav', source_wav_output='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/_video_out/21 - White Noise-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/_video_out/21 - White Noise-mp4/zh-cn.srt', target_wav='D:/win-pyvideotrans-v3.98-314/tmp/2608/fc2770f023/target.wav', target_wav_output='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/_video_out/21 - White Noise-mp4/zh-cn.m4a', name='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/21 - White Noise.mp4', noextname='21 - White Noise', basename='21 - White Noise.mp4', ext='mp4', dirname='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2', shound_del_name=None, translate_type=0, tts_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='Yunyang(Male/CN)', voice_autorate=False, video_autorate=False, remove_silent_mid=False, align_sub_audio=True, detect_language='en', recogn_type=0, model_name='large-v3-turbo', shibie_audio=None, remove_noise=False, enable_diariz=False, nums_diariz=0, rephrase=0, fix_punc=False, subtitle_language=None, app_mode='biaozhun', subtitles='', targetdir_mp4='D:/yinyue_fanyi/Production Music Live Mixing Start to Finish in FL TUTORiAL/03 - Track 2/_video_out/21 - White Noise-mp4/21 - White Noise.mp4', novoice_mp4='D:/win-pyvideotrans-v3.98-314/tmp/2608/fc2770f023/novoice.mp4', is_separate=False, instrument=None, vocal=None, back_audio='', clear_cache=False, background_music=None, subtitle_type=1, only_out_mp4=False, recogn2pass=True, output_srt=0, copysrt_rawvideo=False)


=
system:Windows-10-10.0.26200-SP0
version:v3.98
frozen:True
language:zh
root_dir:D:/win-pyvideotrans-v3.98-314

1 Replies

这是由于GPU显存或系统内存不足,导致子进程在处理“二次识别”阶段时崩溃。

根据日志,错误发生在视频翻译的“合并阶段”,具体是在开启“二次识别”后,使用 faster-whisper 模型(large-v3-turbo)进行第二次语音识别时,GPU进程池因资源不足而崩溃。

解决方案:

  1. 关闭“二次识别”:这是最直接的解决方法。在视频翻译主界面,取消勾选“二次识别”选项。这可以避免在合成阶段再次调用耗资源的语音识别模型。
  2. 降低语音识别模型负载

    • 在“语音识别”行,将模型从 large-v3-turbo 更换为更小的模型,例如 large-v3mediumsmall
    • 前往 菜单 -> 工具 -> 高级选项 -> 语音识别参数,将 识别准确度beam_size识别准确度best_of 都设置为 1,以减少显存消耗。
    • 在同一页面,确保 GPU同时任务数[重启生效] 设置为 1(默认值),避免多个任务争抢显存。
  3. 调整高级选项

    • 前往 菜单 -> 工具 -> 高级选项 -> 通用设置,确认 最大进程数[重启生效] 设置合理(建议不超过CPU核心数减一),过高的并发会消耗大量内存。
    • 如果视频较长,可以尝试勾选 批量翻译时强制串行,让任务按顺序处理,减轻瞬时内存压力。
  4. 检查CUDA环境:虽然日志显示 is_cuda=True,但仍需确认CUDA和cuDNN安装正确且版本匹配(CUDA 12.8,cuDNN >= 9.11)。在CMD中运行 nvidia-smi 查看显卡状态和驱动版本。

如果以上调整后问题依旧,可能是视频本身或处理过程中的中间文件过大,超出了系统物理内存容量。请尝试处理更短的视频片段进行测试。

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