20250109使用M6000显卡在Ubuntu20.04.6下跑whisper来识别中英文字幕
2025/1/9 20:57
https://blog.csdn.net/wb4916/article/details/144541848
20241217使用M6000显卡在WIN10下跑whisper来识别中英文字幕
步骤：
1、在NVIDIA的官网下载并安装M6000显卡在WIN10下的最新驱动程序。
2、安装ffmpeg预编译版本。
3、安装python3.8，一定不要去Microsoft的软件商城里安装最新的python3.13等。最新的python不好安装Torch。
4、安装torch
5、安装whisper
6、开始识别。需要使用large模式
1、在NVIDIA的官网下载并安装M6000显卡在WIN10下的最新驱动程序。
https://blog.csdn.net/wb4916/article/details/144698089
20241224在Ubuntu20.04.6下给X99平台上的M6000显卡安装驱动程序
https://www.nvidia.cn/
https://www.nvidia.cn/drivers/lookup/
NVIDIA RTX / Quadro
Quadro Series
Quadro M6000
Windows 10 64-bit
Chinese (Simplified)
2、安装ffmpeg预编译版本。
sudo apt-get install ffmpeg
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ sudo apt-get install ffmpeg
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following additional packages will be installed:
i965-va-driver intel-media-va-driver libaacs0 libaom0 libass9 libavcodec58 libavdevice58 libavfilter7 libavformat58 libavresample4 libavutil56 libbdplus0 libbluray2 libbs2b0 libchromaprint1 libcodec2-0.9
libdc1394-22 libflite1 libgme0 libgsm1 libigdgmm11 liblilv-0-0 libmysofa1 libnorm1 libopenal-data libopenal1 libopenmpt0 libpgm-5.2-0 libpostproc55 librubberband2 libsdl2-2.0-0 libserd-0-0 libshine3
libsnappy1v5 libsndio7.0 libsord-0-0 libsratom-0-0 libssh-gcrypt-4 libswresample3 libswscale5 libva-drm2 libva-x11-2 libva2 libvdpau1 libvidstab1.1 libx264-155 libx265-179 libxvidcore4 libzmq5
libzvbi-common libzvbi0 mesa-va-drivers mesa-vdpau-drivers ocl-icd-libopencl1 va-driver-all vdpau-driver-all
Suggested packages:
ffmpeg-doc i965-va-driver-shaders libbluray-bdj libportaudio2 serdi sndiod sordi opencl-icd libvdpau-va-gl1 nvidia-vdpau-driver nvidia-legacy-340xx-vdpau-driver nvidia-legacy-304xx-vdpau-driver
The following NEW packages will be installed:
ffmpeg i965-va-driver intel-media-va-driver libaacs0 libaom0 libass9 libavcodec58 libavdevice58 libavfilter7 libavformat58 libavresample4 libavutil56 libbdplus0 libbluray2 libbs2b0 libchromaprint1
libcodec2-0.9 libdc1394-22 libflite1 libgme0 libgsm1 libigdgmm11 liblilv-0-0 libmysofa1 libnorm1 libopenal-data libopenal1 libopenmpt0 libpgm-5.2-0 libpostproc55 librubberband2 libsdl2-2.0-0 libserd-0-0
libshine3 libsnappy1v5 libsndio7.0 libsord-0-0 libsratom-0-0 libssh-gcrypt-4 libswresample3 libswscale5 libva-drm2 libva-x11-2 libva2 libvdpau1 libvidstab1.1 libx264-155 libx265-179 libxvidcore4 libzmq5
libzvbi-common libzvbi0 mesa-va-drivers mesa-vdpau-drivers ocl-icd-libopencl1 va-driver-all vdpau-driver-all
0 upgraded, 57 newly installed, 0 to remove and 76 not upgraded.
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rootroot@rootroot-X99-Turbo:~$
3、安装python3.8，一定不要去Microsoft的软件商城里安装最新的python3.13等。最新的python不好安装Torch。
Ubuntu20.04.6已经默认内置python3.8了？
反正我会安装Rockchip【RK3566/RK3588等】的Android12/13和Buildroot的编译环境。很多软件就直接安装了！
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ python3
Python 3.8.10 (default, Nov 7 2024, 13:10:47)
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> exit()
rootroot@rootroot-X99-Turbo:~$
4、安装torch
https://blog.csdn.net/m0_52156129/article/details/129263703
如何在你的电脑上完成whisper的简单部署
【根据你的位置或者网速，你下载的速度可能会很慢或者中断，重来即可！^_】
https://pytorch.org/get-started/locally/
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ nvidia-smi
Fri Dec 27 10:08:26 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.142 Driver Version: 550.142 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 Quadro M6000 Off | 00000000:03:00.0 On | Off |
| 26% 36C P8 17W / 250W | 500MiB / 12288MiB | 1% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1562 G /usr/lib/xorg/Xorg 111MiB |
| 0 N/A N/A 1857 G /usr/bin/gnome-shell 155MiB |
| 0 N/A N/A 2330 G /usr/lib/firefox/firefox 194MiB |
| 0 N/A N/A 4626 G ...AAAAAAAIAAAAAAAAAA== --shared-files 29MiB |
+-----------------------------------------------------------------------------------------+
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ pip3 install torch torchvision torchaudio
Collecting torch
Downloading torch-2.4.1-cp38-cp38-manylinux1_x86_64.whl (797.1 MB)
|████████████████████████████████| 797.1 MB 21 kB/s
Collecting torchvision
Downloading torchvision-0.19.1-cp38-cp38-manylinux1_x86_64.whl (7.0 MB)
|████████████████████████████████| 7.0 MB 29.8 MB/s
Collecting torchaudio
Downloading torchaudio-2.4.1-cp38-cp38-manylinux1_x86_64.whl (3.4 MB)
|████████████████████████████████| 3.4 MB 33.4 MB/s
Collecting triton==3.0.0; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.13"
Downloading triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (209.4 MB)
|████████████████████████████████| 209.4 MB 1.3 MB/s
Collecting nvidia-cuda-runtime-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
|████████████████████████████████| 823 kB 41.4 MB/s
Collecting nvidia-cublas-cu12==12.1.3.1; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
|████████████████████████████████| 410.6 MB 11 kB/s
Collecting networkx
Downloading networkx-3.1-py3-none-any.whl (2.1 MB)
|████████████████████████████████| 2.1 MB 39.0 MB/s
Collecting nvidia-cufft-cu12==11.0.2.54; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
|████████████████████████████████| 121.6 MB 1.6 MB/s
Collecting nvidia-cuda-cupti-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
|████████████████████████████████| 14.1 MB 42.3 MB/s
Collecting nvidia-curand-cu12==10.3.2.106; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
|████████████████████████████████| 56.5 MB 1.4 MB/s
Collecting nvidia-nccl-cu12==2.20.5; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)
|████████████████████████████████| 176.2 MB 94 kB/s
Collecting nvidia-cusolver-cu12==11.4.5.107; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
|████████████████████████████████| 124.2 MB 1.7 MB/s
Collecting typing-extensions>=4.8.0
Downloading typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Collecting fsspec
Downloading fsspec-2024.12.0-py3-none-any.whl (183 kB)
|████████████████████████████████| 183 kB 38.2 MB/s
Collecting sympy
Downloading sympy-1.13.3-py3-none-any.whl (6.2 MB)
|████████████████████████████████| 6.2 MB 39.6 MB/s
Collecting jinja2
Downloading jinja2-3.1.5-py3-none-any.whl (134 kB)
|████████████████████████████████| 134 kB 40.8 MB/s
Collecting nvidia-cusparse-cu12==12.1.0.106; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
|████████████████████████████████| 196.0 MB 1.8 MB/s
Collecting nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
|████████████████████████████████| 23.7 MB 1.4 MB/s
Collecting nvidia-cudnn-cu12==9.1.0.70; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)
|████████████████████████████████| 664.8 MB 16 kB/s
Collecting filelock
Downloading filelock-3.16.1-py3-none-any.whl (16 kB)
Collecting nvidia-nvtx-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64"
Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
|████████████████████████████████| 99 kB 15.9 MB/s
Collecting numpy
Downloading numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
|████████████████████████████████| 17.3 MB 14 kB/s
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/lib/python3/dist-packages (from torchvision) (7.0.0)
Collecting nvidia-nvjitlink-cu12
Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB)
|████████████████████████████████| 19.7 MB 1.4 MB/s
Collecting mpmath<1.4,>=1.1.0
Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
|████████████████████████████████| 536 kB 42.8 MB/s
Collecting MarkupSafe>=2.0
Downloading MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26 kB)
Installing collected packages: filelock, triton, nvidia-cuda-runtime-cu12, nvidia-cublas-cu12, networkx, nvidia-cufft-cu12, nvidia-cuda-cupti-cu12, nvidia-curand-cu12, nvidia-nccl-cu12, nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cusolver-cu12, typing-extensions, fsspec, mpmath, sympy, MarkupSafe, jinja2, nvidia-cuda-nvrtc-cu12, nvidia-cudnn-cu12, nvidia-nvtx-cu12, torch, numpy, torchvision, torchaudio
WARNING: The scripts proton and proton-viewer are installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script isympy is installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts convert-caffe2-to-onnx, convert-onnx-to-caffe2 and torchrun are installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts f2py, f2py3 and f2py3.8 are installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed MarkupSafe-2.1.5 filelock-3.16.1 fsspec-2024.12.0 jinja2-3.1.5 mpmath-1.3.0 networkx-3.1 numpy-1.24.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.1.105 sympy-1.13.3 torch-2.4.1 torchaudio-2.4.1 torchvision-0.19.1 triton-3.0.0 typing-extensions-4.12.2
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$
确认NVCC的版本：
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ nvcc -v
Command 'nvcc' not found, but can be installed with:
sudo apt install nvidia-cuda-toolkit
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ sudo apt install nvidia-cuda-toolkit
[sudo] password for rootroot:
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following additional packages will be installed:
cpp-8 g++-8 gcc-8 gcc-8-base javascript-common libaccinj64-10.1 libcublas10 libcublaslt10 libcudart10.1 libcufft10 libcufftw10 libcuinj64-10.1 libcupti-dev libcupti-doc libcupti10.1 libcurand10
libcusolver10 libcusolvermg10 libcusparse10 libgcc-8-dev libjs-jquery libjs-underscore libmpx2 libnppc10 libnppial10 libnppicc10 libnppicom10 libnppidei10 libnppif10 libnppig10 libnppim10 libnppist10
libnppisu10 libnppitc10 libnpps10 libnvblas10 libnvgraph10 libnvidia-compute-418-server libnvidia-ml-dev libnvjpeg10 libnvrtc10.1 libnvtoolsext1 libnvvm3 libstdc++-8-dev libthrust-dev libvdpau-dev
node-html5shiv nsight-compute nsight-systems nvidia-cuda-dev nvidia-cuda-doc nvidia-cuda-gdb nvidia-opencl-dev nvidia-profiler nvidia-visual-profiler ocl-icd-opencl-dev opencl-c-headers
Suggested packages:
gcc-8-locales g++-8-multilib gcc-8-doc gcc-8-multilib apache2 | lighttpd | httpd libstdc++-8-doc libvdpau-doc nodejs nvidia-driver | nvidia-tesla-440-driver | nvidia-tesla-418-driver libpoclu-dev
Recommended packages:
libnvcuvid1
The following NEW packages will be installed:
cpp-8 g++-8 gcc-8 gcc-8-base javascript-common libaccinj64-10.1 libcublas10 libcublaslt10 libcudart10.1 libcufft10 libcufftw10 libcuinj64-10.1 libcupti-dev libcupti-doc libcupti10.1 libcurand10
libcusolver10 libcusolvermg10 libcusparse10 libgcc-8-dev libjs-jquery libjs-underscore libmpx2 libnppc10 libnppial10 libnppicc10 libnppicom10 libnppidei10 libnppif10 libnppig10 libnppim10 libnppist10
libnppisu10 libnppitc10 libnpps10 libnvblas10 libnvgraph10 libnvidia-compute-418-server libnvidia-ml-dev libnvjpeg10 libnvrtc10.1 libnvtoolsext1 libnvvm3 libstdc++-8-dev libthrust-dev libvdpau-dev
node-html5shiv nsight-compute nsight-systems nvidia-cuda-dev nvidia-cuda-doc nvidia-cuda-gdb nvidia-cuda-toolkit nvidia-opencl-dev nvidia-profiler nvidia-visual-profiler ocl-icd-opencl-dev opencl-c-headers
0 upgraded, 58 newly installed, 0 to remove and 76 not upgraded.
Need to get 1,420 MB of archives.
After this operation, 3,819 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
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Setting up libnvtoolsext1:amd64 (10.1.243-3) ...
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Setting up libcurand10:amd64 (10.1.243-3) ...
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Setting up nvidia-visual-profiler (10.1.243-3) ...
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rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ nvcc -v
nvcc fatal : No input files specified; use option --help for more information
rootroot@rootroot-X99-Turbo:~$ nvcc -version
nvcc fatal : Unknown option 'version'
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
rootroot@rootroot-X99-Turbo:~$
5、安装whisper
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ pip install -U openai-whisper
Collecting openai-whisper
Downloading openai-whisper-20240930.tar.gz (800 kB)
|████████████████████████████████| 800 kB 11 kB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... done
Requirement already satisfied, skipping upgrade: torch in ./.local/lib/python3.8/site-packages (from openai-whisper) (2.4.1)
Collecting tqdm
Downloading tqdm-4.67.1-py3-none-any.whl (78 kB)
|████████████████████████████████| 78 kB 11 kB/s
Collecting more-itertools
Downloading more_itertools-10.5.0-py3-none-any.whl (60 kB)
|████████████████████████████████| 60 kB 9.1 kB/s
Collecting numba
Downloading numba-0.58.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.7 MB)
|████████████████████████████████| 3.7 MB 1.2 MB/s
Requirement already satisfied, skipping upgrade: triton>=2.0.0; platform_machine == "x86_64" and sys_platform == "linux" or sys_platform == "linux2" in ./.local/lib/python3.8/site-packages (from openai-whisper) (3.0.0)
Collecting tiktoken
Downloading tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
|████████████████████████████████| 1.1 MB 1.7 MB/s
Requirement already satisfied, skipping upgrade: numpy in ./.local/lib/python3.8/site-packages (from openai-whisper) (1.24.4)
Requirement already satisfied, skipping upgrade: jinja2 in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (3.1.5)
Requirement already satisfied, skipping upgrade: filelock in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (3.16.1)
Requirement already satisfied, skipping upgrade: nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (12.1.105)
Requirement already satisfied, skipping upgrade: nvidia-cuda-runtime-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (12.1.105)
Requirement already satisfied, skipping upgrade: nvidia-cuda-cupti-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (12.1.105)
Requirement already satisfied, skipping upgrade: nvidia-cufft-cu12==11.0.2.54; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (11.0.2.54)
Requirement already satisfied, skipping upgrade: nvidia-cusparse-cu12==12.1.0.106; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (12.1.0.106)
Requirement already satisfied, skipping upgrade: fsspec in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (2024.12.0)
Requirement already satisfied, skipping upgrade: nvidia-cusolver-cu12==11.4.5.107; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (11.4.5.107)
Requirement already satisfied, skipping upgrade: nvidia-cudnn-cu12==9.1.0.70; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (9.1.0.70)
Requirement already satisfied, skipping upgrade: nvidia-nvtx-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (12.1.105)
Requirement already satisfied, skipping upgrade: nvidia-cublas-cu12==12.1.3.1; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (12.1.3.1)
Requirement already satisfied, skipping upgrade: nvidia-curand-cu12==10.3.2.106; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (10.3.2.106)
Requirement already satisfied, skipping upgrade: sympy in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (1.13.3)
Requirement already satisfied, skipping upgrade: networkx in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (3.1)
Requirement already satisfied, skipping upgrade: nvidia-nccl-cu12==2.20.5; platform_system == "Linux" and platform_machine == "x86_64" in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (2.20.5)
Requirement already satisfied, skipping upgrade: typing-extensions>=4.8.0 in ./.local/lib/python3.8/site-packages (from torch->openai-whisper) (4.12.2)
Collecting importlib-metadata; python_version < "3.9"
Downloading importlib_metadata-8.5.0-py3-none-any.whl (26 kB)
Collecting llvmlite<0.42,>=0.41.0dev0
Downloading llvmlite-0.41.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.6 MB)
|████████████████████████████████| 43.6 MB 15.7 MB/s
Collecting regex>=2022.1.18
Downloading regex-2024.11.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (785 kB)
|████████████████████████████████| 785 kB 23.0 MB/s
Collecting requests>=2.26.0
Downloading requests-2.32.3-py3-none-any.whl (64 kB)
|████████████████████████████████| 64 kB 8.4 MB/s
Requirement already satisfied, skipping upgrade: MarkupSafe>=2.0 in ./.local/lib/python3.8/site-packages (from jinja2->torch->openai-whisper) (2.1.5)
Requirement already satisfied, skipping upgrade: nvidia-nvjitlink-cu12 in ./.local/lib/python3.8/site-packages (from nvidia-cusparse-cu12==12.1.0.106; platform_system == "Linux" and platform_machine == "x86_64"->torch->openai-whisper) (12.6.85)
Requirement already satisfied, skipping upgrade: mpmath<1.4,>=1.1.0 in ./.local/lib/python3.8/site-packages (from sympy->torch->openai-whisper) (1.3.0)
Collecting zipp>=3.20
Downloading zipp-3.20.2-py3-none-any.whl (9.2 kB)
Requirement already satisfied, skipping upgrade: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (2.8)
Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (2019.11.28)
Collecting charset-normalizer<4,>=2
Downloading charset_normalizer-3.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (144 kB)
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Requirement already satisfied, skipping upgrade: urllib3<3,>=1.21.1 in /usr/lib/python3/dist-packages (from requests>=2.26.0->tiktoken->openai-whisper) (1.25.8)
Building wheels for collected packages: openai-whisper
Building wheel for openai-whisper (PEP 517) ... done
Created wheel for openai-whisper: filename=openai_whisper-20240930-py3-none-any.whl size=803319 sha256=4ef1c818fce8753125de5b97561a5f806580f37ecd7606845205cc53728fbcf6
Stored in directory: /home/rootroot/.cache/pip/wheels/58/9f/3f/657caca5c67b43cb90d168c2061936f3255bc28fef73b752ea
Successfully built openai-whisper
Installing collected packages: tqdm, more-itertools, zipp, importlib-metadata, llvmlite, numba, regex, charset-normalizer, requests, tiktoken, openai-whisper
WARNING: The script tqdm is installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script normalizer is installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script whisper is installed in '/home/rootroot/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed charset-normalizer-3.4.1 importlib-metadata-8.5.0 llvmlite-0.41.1 more-itertools-10.5.0 numba-0.58.1 openai-whisper-20240930 regex-2024.11.6 requests-2.32.3 tiktoken-0.7.0 tqdm-4.67.1 zipp-3.20.2
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ whisper -h
whisper: command not found
rootroot@rootroot-X99-Turbo:~$ whi
which while whiptail
rootroot@rootroot-X99-Turbo:~$ whi
which while whiptail
rootroot@rootroot-X99-Turbo:~$
6、开始识别。需要使用large模式
百度找不到的，BING必应才能够搜索得到，原来whisper装好之后藏在这个目录了
~/.local/bin/whisper
【一般人我不告诉他的！】
rootroot@rootroot-X99-Turbo:~$
rootroot@rootroot-X99-Turbo:~$ cd ali/
rootroot@rootroot-X99-Turbo:~/ali$ ll
total 16
drwxrwxrwx 4 rootroot rootroot 4096 12月 25 10:18 ./
drwxr-xr-x 26 rootroot rootroot 4096 12月 27 15:09 ../
drwxrwxrwx 69 rootroot rootroot 4096 12月 25 15:22 'BBC纪录片[4KHDR.CN]'/
drwxrwxrwx 2 rootroot rootroot 4096 12月 27 13:23 'Q 秦颂'/
rootroot@rootroot-X99-Turbo:~/ali$
rootroot@rootroot-X99-Turbo:~/ali$
rootroot@rootroot-X99-Turbo:~/ali$
rootroot@rootroot-X99-Turbo:~/ali$ ll
total 16
drwxrwxrwx 4 rootroot rootroot 4096 12月 25 10:18 ./
drwxr-xr-x 26 rootroot rootroot 4096 12月 27 15:09 ../
drwxrwxrwx 69 rootroot rootroot 4096 12月 25 15:22 'BBC纪录片[4KHDR.CN]'/
drwxrwxrwx 2 rootroot rootroot 4096 12月 27 13:23 'Q 秦颂'/
rootroot@rootroot-X99-Turbo:~/ali$
rootroot@rootroot-X99-Turbo:~/ali$
rootroot@rootroot-X99-Turbo:~/ali$ cd Q\ 秦颂/
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ll
total 30131932
drwxrwxrwx 2 rootroot rootroot 4096 12月 27 13:23 ./
drwxrwxrwx 4 rootroot rootroot 4096 12月 25 10:18 ../
-rwxrwxrwx 1 rootroot rootroot 30855079905 12月 25 11:04 "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv"*
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ~/.local/bin/whisper "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv" --model large --language Chinese
100%|█████████████████████████████████████| 2.88G/2.88G [01:02<00:00, 49.6MiB/s]
/home/rootroot/.local/lib/python3.8/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(fp, map_location=device)
[00:00.000 --> 00:29.980] 作词作曲 李宗盛
[00:30.000 --> 00:59.980] 演唱 李宗盛
[01:00.000 --> 01:29.980] 演唱 李宗盛
[01:30.000 --> 01:59.980] 演唱 李宗盛
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ~/.local/bin/whisper "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv" --model medium --language Chinese
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ~/.local/bin/whisper "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv" --model large --language Chinese
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ~/.local/bin/whisper "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv" --model large-v1 --language Chinese
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ~/.local/bin/whisper "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv" --model large-v2 --language Chinese
rootroot@rootroot-X99-Turbo:~/ali/Q 秦颂$ ~/.local/bin/whisper "秦颂The.Emperor's.Shadow.1996.1080p.REMUX.FRA.Blu-ray.AVC.DTS-HD.MA.5.1-Mo Cuishle.mkv" --model large-v3 --language Chinese
耗时对比：
--model large 4小时
--model large-v1 2小时
--model large-v2 2小时
--model large-v3 4小时
百度：ubuntu whisper
https://blog.csdn.net/coolyoung520/article/details/142886704
在 Ubuntu 上安装 Whisper 支撑环境（ffmpeg、PyTorch）的教程（2024亲测可用）
https://blog.csdn.net/coolyoung520/article/details/142886704?spm=1001.2101.3001.6650.15&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-15-142886704-blog-135110390.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-15-142886704-blog-135110390.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=22
在 Ubuntu 上安装 Whisper 支撑环境（ffmpeg、PyTorch）的教程（2024亲测可用）
https://blog.csdn.net/JJ240084173/article/details/135917786?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_baidulandingword~default-0-135917786-blog-142886704.235^v43^pc_blog_bottom_relevance_base5&spm=1001.2101.3001.4242.1&utm_relevant_index=3
ubuntu下faster-whisper安装、基于faster-whisper的语音识别示例、同步生成srt字幕文件
https://blog.csdn.net/yangyi139926/article/details/135110390?spm=1001.2101.3001.6650.4&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-4-135110390-blog-142886704.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-4-135110390-blog-142886704.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=9
升级ubuntu16.04显卡驱动，以及cuda版本适配
https://blog.csdn.net/yangyi139926/article/details/135110390?spm=1001.2101.3001.6650.4&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-4-135110390-blog-142886704.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-4-135110390-blog-142886704.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=9
ubuntu16.04安装语音识别whisper及whisper-ctranslate2工具（填坑篇）
https://blog.csdn.net/wb4916/article/details/135956165?spm=1001.2101.3001.6650.16&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-16-135956165-blog-135955551.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-16-135956165-blog-135955551.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=22
20240131在ubuntu20.04.6下使用whisper不同模式的比对
https://blog.csdn.net/wb4916/article/details/135955551?spm=1001.2101.3001.6650.14&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-14-135955551-blog-135110390.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-14-135955551-blog-135110390.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=21
20240127在ubuntu20.04.6下配置whisper
https://blog.csdn.net/wb4916/article/details/135955551?spm=1001.2101.3001.6650.5&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-5-135955551-blog-142886704.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-5-135955551-blog-142886704.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=10
20240127在ubuntu20.04.6下配置whisper
https://blog.csdn.net/coolyoung520/article/details/142886704?spm=1001.2101.3001.6650.3&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EYuanLiJiHua%7EPosition-3-142886704-blog-135955551.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EYuanLiJiHua%7EPosition-3-142886704-blog-135955551.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=6
在 Ubuntu 上安装 Whisper 支撑环境（ffmpeg、PyTorch）的教程（2024亲测可用）
https://blog.csdn.net/yangyi139926/article/details/135110390?spm=1001.2101.3001.6661.1&utm_medium=distribute.pc_relevant_t0.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7EPaidSort-1-135110390-blog-135956165.235%5Ev43%5Epc_blog_bottom_relevance_base5&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7EPaidSort-1-135110390-blog-135956165.235%5Ev43%5Epc_blog_bottom_relevance_base5&utm_relevant_index=1
ubuntu16.04安装语音识别whisper及whisper-ctranslate2工具（填坑篇）
百度：ubuntu whisper
whisper: command not found
bing：whisper: command not found
https://segmentfault.com/a/1190000044344688
whisper 不是内部或外部命令，也不是可运行的程序 或批处理文件。
https://github.com/openai/whisper/discussions/531
'whisper' is not recognized as an internal or external command, operable program or batch file. #531
a-sadegh63
on Jun 21, 2023
The "whisper" command does not work on my Ubuntu system. The following code solves my problem
export PATH=$PATH:/home/your_name/.local/bin
https://www.incredigeek.com/home/install-and-use-opanai-whisper/#:~:text=If%20you%20receive%20a%20%E2%80%9CCommand%20%E2%80%98whisper%E2%80%99%20not%20found%E2%80%9D,PATH%2C%20or%20run%20whisper%20with%20the%20full%20path
Install and Use OpanAI Whisper
Posted on April 20, 2023
Run Whisper
After it is installed, it should be able to run it like
whisper audio.mp3 --model medium
Change out medium to the model you would like to use. It will then download the model and then work get to work on transcribing it. The .en models i.e. medium.en, seem to perform better then the other ones. If you are using English that is.
If you receive a “Command ‘whisper’ not found” error, you may not have ~/.local/bin in your user PATH. Either add ~/.local/bin to your PATH, or run whisper with the full path
~/.local/bin/whisper audio.mp3 --model medium
