#4066 TaskCfgVTT(is_cuda=True, uuid='70961f1ce3', cache_folder='D:/pyvideotrans/tmp/18196/70961f1ce3', target_dir='C:/Users/Ad

114.249* Posted at: 5 hours ago 👁13

语音识别阶段出错 [faster-whisper(本地)] 出错了,可能内存或显存不足 [GPU0]
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 285, in _new_process
File "concurrent\futures\_base.py", line 458, in result
File "concurrent\futures\_base.py", line 403, in __get_result
concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.

Traceback (most recent call last):
File "videotrans\configure\_base.py", line 285, in _new_process
File "concurrent\futures\_base.py", line 458, in result
File "concurrent\futures\_base.py", line 403, in __get_result
concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\task\job.py", line 105, in run
File "videotrans\task\trans_create.py", line 360, in recogn
File "videotrans\recognition\__init__.py", line 272, 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 299, in _new_process
RuntimeError: 出错了,可能内存或显存不足 [GPU0]
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 285, in _new_process
File "concurrent\futures\_base.py", line 458, in result
File "concurrent\futures\_base.py", line 403, in __get_result
concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.
TaskCfgVTT(is_cuda=True, uuid='70961f1ce3', cache_folder='D:/pyvideotrans/tmp/18196/70961f1ce3', target_dir='C:/Users/Administrator/Downloads/_video_out/Kids Realise They Accidentally Killed Their Best Friend-mp4', source_language='英语', source_language_code='en', source_sub='C:/Users/Administrator/Downloads/_video_out/Kids Realise They Accidentally Killed Their Best Friend-mp4/en.srt', source_wav='D:/pyvideotrans/tmp/18196/70961f1ce3/en.wav', source_wav_output='C:/Users/Administrator/Downloads/_video_out/Kids Realise They Accidentally Killed Their Best Friend-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='C:/Users/Administrator/Downloads/_video_out/Kids Realise They Accidentally Killed Their Best Friend-mp4/zh-cn.srt', target_wav='D:/pyvideotrans/tmp/18196/70961f1ce3/target.wav', target_wav_output='C:/Users/Administrator/Downloads/_video_out/Kids Realise They Accidentally Killed Their Best Friend-mp4/zh-cn.m4a', name='C:/Users/Administrator/Downloads/Kids Realise They Accidentally Killed Their Best Friend.mp4', noextname='Kids Realise They Accidentally Killed Their Best Friend', basename='Kids Realise They Accidentally Killed Their Best Friend.mp4', ext='mp4', dirname='C:/Users/Administrator/Downloads', shound_del_name=None, translate_type=0, tts_type=10, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='No', voice_autorate=False, video_autorate=False, remove_silent_mid=False, align_sub_audio=False, 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='tiqu', subtitles='', targetdir_mp4='C:/Users/Administrator/Downloads/_video_out/Kids Realise They Accidentally Killed Their Best Friend-mp4/Kids Realise They Accidentally Killed Their Best Friend.mp4', novoice_mp4='D:/pyvideotrans/tmp/18196/70961f1ce3/novoice.mp4', is_separate=False, instrument=None, vocal=None, back_audio='', clear_cache=False, background_music=None, subtitle_type=0, only_out_mp4=False, recogn2pass=False, output_srt=0, copysrt_rawvideo=False)


=
system:Windows-10-10.0.26100-SP0
version:v3.98
frozen:True
language:zh
root_dir:D:/pyvideotrans

1 Replies

这是由于显存或内存不足导致的。错误信息明确指出“可能内存或显存不足 [GPU0]”,并且使用了 large-v3-turbo 模型,该模型对显存要求较高。

解决方案如下:

  1. 使用更小的模型:在语音识别渠道的下拉菜单中,将模型从 large-v3-turbo 更换为 mediumsmallbaselarge-v3 系列模型最低需要约 10GB 显存。
  2. 调整高级设置以降低显存占用:点击 菜单 -> 工具/选项 -> 高级选项,在“语音识别参数”区域进行如下修改:

    • CUDA数据类型:将 float32 改为 float16int8
    • 识别准确度beam_size:将 5 改为 1
    • 识别准确度best_of:将 5 改为 1
    • 启用上下文感知:将 true 改为 false
  3. 检查是否启用了二次识别:如果主界面右上角勾选了“二次识别”,请取消勾选。同时翻译多个视频时,二次识别可能与前一个视频的转录同时运行,导致显存需求翻倍。
  4. 确保单任务运行:在 高级选项 -> 通用设置 中,确认 GPU同时任务数[重启生效] 设置为 1(除非单卡显存大于20G)。
  5. 串行处理批量任务:如果你在批量处理多个视频,请在 高级选项 -> 通用设置 中勾选 批量翻译时强制串行,避免多个任务同时竞争显存。

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