#4265 TaskCfgVTT(is_cuda=True, uuid='17f1a08bbe', cache_folder='D:/win-pyvideotrans-v3.95/tmp/11616/17f1a08bbe', target_dir='F

36.142* Posted at: 2 hours ago 👁7

语音识别阶段出错 [faster-whisper(本地)] 出错了,可能内存或显存不足 Model:large-v3-turbo 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 303, in _new_process
RuntimeError: 出错了,可能内存或显存不足 Model:large-v3-turbo 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='17f1a08bbe', cache_folder='D:/win-pyvideotrans-v3.95/tmp/11616/17f1a08bbe', target_dir='F:/zmm/20世纪/001/_video_out/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score-mp4', source_language='英语', source_language_code='en', source_sub='F:/zmm/20世纪/001/_video_out/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score-mp4/en.srt', source_wav='D:/win-pyvideotrans-v3.95/tmp/11616/17f1a08bbe/en.wav', source_wav_output='F:/zmm/20世纪/001/_video_out/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='F:/zmm/20世纪/001/_video_out/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score-mp4/zh-cn.srt', target_wav='D:/win-pyvideotrans-v3.95/tmp/11616/17f1a08bbe/target.wav', target_wav_output='F:/zmm/20世纪/001/_video_out/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score-mp4/zh-cn.m4a', name='F:/zmm/20世纪/001/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score.mp4', noextname='001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score', basename='001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score.mp4', ext='mp4', dirname='F:/zmm/20世纪/001', shound_del_name=None, translate_type=3, tts_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='No', 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=True, enable_diariz=False, nums_diariz=0, rephrase=0, fix_punc=False, subtitle_language=None, app_mode='tiqu', subtitles='', targetdir_mp4='F:/zmm/20世纪/001/_video_out/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score-mp4/001-2 调式变奏第1部分 - Diatonic variations- Part 1 Master The Score.mp4', novoice_mp4='D:/win-pyvideotrans-v3.95/tmp/11616/17f1a08bbe/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=True, output_srt=0, copysrt_rawvideo=True)


=
system:Windows-10-10.0.22621-SP0
version:v3.98
frozen:True
language:zh
root_dir:D:/win-pyvideotrans-v3.95

1 Replies

这是由于显存不足导致进程崩溃。您的日志显示已启用二次识别recogn2pass=True),这会额外占用大量显存。

解决方案:

  1. 立即取消二次识别:在主界面取消勾选“二次识别”选项,然后重新尝试。
  2. 如仍不足:将语音识别模型从 large-v3-turbo 切换为更小的模型(如 mediumsmall)。
  3. 调整高级选项:在 菜单 → 工具 → 高级选项 → 语音识别参数 中:

    • CUDA数据类型 改为 int8float16
    • beam_size 改为 1
    • best_of 改为 1
    • 关闭 启用上下文感知
  4. 清理缓存:勾选主界面左上角的“清理已生成”以确保重新处理。
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