[docs] WSL-ubuntu + NVIDIA docker 安装

[lovegaoshi]

先装WSL + docker + NVIDIA:
https://learn.microsoft.com/en-us/windows/ai/directml/gpu-cuda-in-wsl
https://docs.nvidia.com/cuda/wsl-user-guide/index.html#getting-started-with-cuda-on-wsl
??? https://zhuanlan.zhihu.com/p/558821366
然后

git clone -b inaseg-cloud https://github.com/lovegaoshi/ipynb.git
cd ipynb
sudo docker build -t ipynb-inaseg -f Dockerfile-gpu .
sudo docker run -v "$(pwd)":/inaseg -u 1000:1000 --gpus all ipynb-inaseg python /inaseg/inaseg.py --shazam --shazam_multithread=2 --cleanup --outdir=/inaseg --aria=8 --media=https://www.bilibili.com/video/BV1PQ4y157GK/

全部log：

ubuntu@TirionFordring:~/github$ git clone -b inaseg-cloud https://github.com/lovegaoshi/ipynb.git
cd ipynb
Cloning into 'ipynb'...
remote: Enumerating objects: 349, done.
remote: Counting objects: 100% (149/149), done.
remote: Compressing objects: 100% (86/86), done.
remote: Total 349 (delta 66), reused 118 (delta 49), pack-reused 200
Receiving objects: 100% (349/349), 4.45 MiB | 11.45 MiB/s, done.
Resolving deltas: 100% (165/165), done.
ubuntu@TirionFordring:~/github/ipynb$ ls
BiliWatcher.py  Dockerfile-gpu    configs             docker-compose.yml  inacelery.py  initialize.py  requirements.txt
Dockerfile      biliupWrapper.py  cookieformatter.py  inaConstant.py      inaseg.py     readme.md      wbi.py
ubuntu@TirionFordring:~/github/ipynb$ sudo docker build -f Dockerfile-gpu .
[+] Building 275.8s (12/12) FINISHED                                                                                                                                docker:default
 => [internal] load build definition from Dockerfile-gpu                                                                                                                      0.0s
 => => transferring dockerfile: 246B                                                                                                                                          0.0s
 => [internal] load .dockerignore                                                                                                                                             0.0s
 => => transferring context: 2B                                                                                                                                               0.0s
 => [internal] load metadata for docker.io/tensorflow/tensorflow:2.13.0-gpu                                                                                                   1.8s
 => [internal] load build context                                                                                                                                             0.1s
 => => transferring context: 4.78MB                                                                                                                                           0.0s
 => [1/7] FROM docker.io/tensorflow/tensorflow:2.13.0-gpu@sha256:b4676741c491bff3d0f29c38c369281792c7d5c5bfa2b1aa93e5231a8d236323                                           118.8s
 => => resolve docker.io/tensorflow/tensorflow:2.13.0-gpu@sha256:b4676741c491bff3d0f29c38c369281792c7d5c5bfa2b1aa93e5231a8d236323                                             0.0s
 => => sha256:b4676741c491bff3d0f29c38c369281792c7d5c5bfa2b1aa93e5231a8d236323 4.08kB / 4.08kB                                                                                0.0s
 => => sha256:6bdca089cc382c11ef5675cf72232e58fbad3a8c7758b34ef03855f566ca1e84 11.79kB / 11.79kB                                                                              0.0s
 => => sha256:56e0351b98767487b3c411034be95479ed1710bb6be860db6df0be3a98653027 27.51MB / 27.51MB                                                                              1.2s
 => => sha256:20d547ab5eb53128ec992abaae1d1f5a15bfe39d7a18ac0e5e265b383ebf71bc 7.94MB / 7.94MB                                                                                1.3s
 => => sha256:ece84004a3cd8e7689a2ff0b1a1856a941e6cc31f7ec1eedc39073035a7adddd 56.23MB / 56.23MB                                                                              2.7s
 => => sha256:b08eef4b90c81de27f73f4aa3522ac14ee1e1146db910e97e17d9d25a969a292 186B / 186B                                                                                    1.5s
 => => sha256:aa315b7808f0b5e5badf02398e1f7ce1780952eda559defa9fb204e4f19c54c4 6.88kB / 6.88kB                                                                                1.5s
 => => extracting sha256:56e0351b98767487b3c411034be95479ed1710bb6be860db6df0be3a98653027                                                                                     1.5s
 => => sha256:de96f27d948755d7ed0557a21364768e9d85eeabdd8ea7f9ae5de986dcdaef54 977B / 977B                                                                                    1.8s
 => => sha256:0d0dce5452b7074590ad5dc15e49d40ea82eb5c2304ec6d7861178c57b239fe6 768B / 768B                                                                                    1.9s
 => => sha256:780a8581227d0b3707efa2d1327690624bd8e4aeb1f4ec87b3429796c20865d6 32.19MB / 32.19MB                                                                              3.7s
 => => sha256:5a1e96a5c562cfcd77e326f0822fe6ba9b7540a3041e4802ba64b24fa74c233d 435B / 435B                                                                                    2.1s
 => => sha256:18e62fb4b02bf94f08abbe9c472441cb487f759cc15f25c781f06089c13e3360 2.52GB / 2.52GB                                                                               74.6s
 => => sha256:1eb5af93509e197319fe2b95e0ecc382af70353a19e370c13ea68fb0fe108a48 971B / 971B                                                                                    2.9s
 => => extracting sha256:20d547ab5eb53128ec992abaae1d1f5a15bfe39d7a18ac0e5e265b383ebf71bc                                                                                     0.4s
 => => sha256:2e482ebc3ac75f8549fcda5398d339c473b0b2513df3490db6a177c9a1018d64 128B / 128B                                                                                    3.2s
 => => sha256:1b05b9c327ea3c1ab594685cbc6a2e81762def76f5a8cafe95e910d14b0bcb43 22.07MB / 22.07MB                                                                              5.0s
 => => extracting sha256:ece84004a3cd8e7689a2ff0b1a1856a941e6cc31f7ec1eedc39073035a7adddd                                                                                     1.2s
 => => sha256:38fe50d989691442c8c2504bac7940994904fbded380b01d9290e3280b05f53b 604.67MB / 604.67MB                                                                           51.6s
 => => extracting sha256:b08eef4b90c81de27f73f4aa3522ac14ee1e1146db910e97e17d9d25a969a292                                                                                     0.0s
 => => extracting sha256:aa315b7808f0b5e5badf02398e1f7ce1780952eda559defa9fb204e4f19c54c4                                                                                     0.0s
 => => extracting sha256:de96f27d948755d7ed0557a21364768e9d85eeabdd8ea7f9ae5de986dcdaef54                                                                                     0.0s
 => => extracting sha256:0d0dce5452b7074590ad5dc15e49d40ea82eb5c2304ec6d7861178c57b239fe6                                                                                     0.0s
 => => extracting sha256:5a1e96a5c562cfcd77e326f0822fe6ba9b7540a3041e4802ba64b24fa74c233d                                                                                     0.0s
 => => extracting sha256:780a8581227d0b3707efa2d1327690624bd8e4aeb1f4ec87b3429796c20865d6                                                                                     0.4s
 => => sha256:ac042b037de7062fda11dbfb03be0a430305d912d14daf4aacac5b73e496bd79 809B / 809B                                                                                    5.2s
 => => sha256:2009c4c4e2d5daeff2f37140e3885fc80ab003d778c5b1d58adff23cc3f3f16f 7.81kB / 7.81kB                                                                                5.5s
 => => sha256:b1c3a97d184ade58e969736e2883b029917f5ce1d5d31ab38fffb10a54a5a5e4 1.13kB / 1.13kB                                                                                5.8s
 => => sha256:fe5937c77f3eb80423ea3bfdab80dcb93bf7f4063a12c5fddac9a77baf0f7f31 1.13kB / 1.13kB                                                                                6.0s
 => => extracting sha256:18e62fb4b02bf94f08abbe9c472441cb487f759cc15f25c781f06089c13e3360                                                                                    28.5s
 => => extracting sha256:1eb5af93509e197319fe2b95e0ecc382af70353a19e370c13ea68fb0fe108a48                                                                                     0.0s
 => => extracting sha256:2e482ebc3ac75f8549fcda5398d339c473b0b2513df3490db6a177c9a1018d64                                                                                     0.0s
 => => extracting sha256:1b05b9c327ea3c1ab594685cbc6a2e81762def76f5a8cafe95e910d14b0bcb43                                                                                     0.9s
 => => extracting sha256:38fe50d989691442c8c2504bac7940994904fbded380b01d9290e3280b05f53b                                                                                    14.2s
 => => extracting sha256:ac042b037de7062fda11dbfb03be0a430305d912d14daf4aacac5b73e496bd79                                                                                     0.0s
 => => extracting sha256:2009c4c4e2d5daeff2f37140e3885fc80ab003d778c5b1d58adff23cc3f3f16f                                                                                     0.0s
 => => extracting sha256:b1c3a97d184ade58e969736e2883b029917f5ce1d5d31ab38fffb10a54a5a5e4                                                                                     0.0s
 => => extracting sha256:fe5937c77f3eb80423ea3bfdab80dcb93bf7f4063a12c5fddac9a77baf0f7f31                                                                                     0.0s
 => [2/7] COPY . /inaseg                                                                                                                                                      0.8s
 => [3/7] WORKDIR /inaseg                                                                                                                                                     0.0s
 => [4/7] RUN pip install -r /inaseg/requirements.txt                                                                                                                        60.7s
 => [5/7] RUN apt update                                                                                                                                                     57.7s
 => [6/7] RUN apt -y install ffmpeg aria2 wget nano                                                                                                                          27.5s
 => [7/7] RUN python /inaseg/initialize.py                                                                                                                                    2.3s
 => exporting to image                                                                                                                                                        6.1s
 => => exporting layers                                                                                                                                                       6.1s
 => => writing image sha256:16ab9ac3535bb8896417d19e74013b06b3a8ce6445525de6b9a8916213f35640                                                                                  0.0s

What's Next?
  1. Sign in to your Docker account → docker login
  2. View a summary of image vulnerabilities and recommendations → docker scout quickview
ubuntu@TirionFordring:~/github/ipynb$ git pull
remote: Enumerating objects: 8, done.
remote: Counting objects: 100% (8/8), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 5 (delta 3), reused 5 (delta 3), pack-reused 0
Unpacking objects: 100% (5/5), 743 bytes | 743.00 KiB/s, done.
From https://github.com/lovegaoshi/ipynb
   2ba5c98..0dcbc87  inaseg-cloud -> origin/inaseg-cloud
Updating 2ba5c98..0dcbc87
Fast-forward
 constants.py   |  3 +++
 inaConstant.py | 11 ++++-------
 wbi.py         | 20 ++++++++++++++------
 3 files changed, 21 insertions(+), 13 deletions(-)
 create mode 100644 constants.py
ubuntu@TirionFordring:~/github/ipynb$ nvidia-smi
Sat Dec  9 09:48:13 2023
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.33.01              Driver Version: 546.29       CUDA Version: 12.3     |
|-----------------------------------------+----------------------+----------------------+
| 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  NVIDIA GeForce GTX 1070        On  | 00000000:09:00.0  On |                  N/A |
| 31%   52C    P0              43W / 151W |   3306MiB /  8192MiB |      9%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|    0   N/A  N/A        22      G   /Xwayland                                 N/A      |
+---------------------------------------------------------------------------------------+
ubuntu@TirionFordring:~/github/ipynb$ sudo docker images
REPOSITORY   TAG       IMAGE ID       CREATED              SIZE
<none>       <none>    16ab9ac3535b   About a minute ago   8.4GB
ubuntu@TirionFordring:~/github/ipynb$ sudo docker tag 16ab9ac3535b ipynb-inaseg
ubuntu@TirionFordring:~/github/ipynb$ id
uid=1000(ubuntu) gid=1000(ubuntu) groups=1000(ubuntu),4(adm),20(dialout),24(cdrom),25(floppy),27(sudo),29(audio),30(dip),44(video),46(plugdev),116(netdev),1001(docker)
ubuntu@TirionFordring:~/github/ipynb$ sudo docker run -v "$(pwd)":/inaseg -u 1000:1000 --gpus all ipynb-inaseg python /inaseg/inaseg.py --shazam --shazam_multithread=2 --cleanup -
-outdir=/inaseg --aria=8 --media=https://www.bilibili.com/video/BV1PQ4y157GK/
2023-12-09 17:50:47.858774: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-09 17:50:49,531 INFO     ['yt-dlp', 'https://www.bilibili.com/video/BV1PQ4y157GK/', '-o', '/inaseg/[%(uploader)s] %(title)s %(upload_date)s.%(ext)s', '--cookies', 'ytdlp_cookies.txt', '--external-downloader', 'aria2c', '--external-downloader-args', '-x 8 -s 8 -k 1M', '-f', 'bestaudio']
WARNING: External Downloader arguments given without specifying name. The arguments will be given to aria2c
2023-12-09 17:50:49,980 INFO     [BiliBili] Extracting URL: https://www.bilibili.com/video/BV1PQ4y157GK/

2023-12-09 17:50:49,980 INFO     [BiliBili] 1PQ4y157GK: Downloading webpage

2023-12-09 17:50:51,022 INFO     [BiliBili] BV1PQ4y157GK: Extracting videos in anthology

2023-12-09 17:50:51,392 INFO     [BiliBili] Format(s) 720P 高清, 1080P 高清, 1080P 60帧 are missing; you have to login or become premium member to download them. Use --cookies-from-browser or --cookies for the authentication. See  https://github.com/yt-dlp/yt-dlp/wiki/FAQ#how-do-i-pass-cookies-to-yt-dlp  for how to manually pass cookies

2023-12-09 17:50:51,392 INFO     [BiliBili] 706992421: Extracting chapters

2023-12-09 17:50:51,882 INFO     [info] BV1PQ4y157GK: Downloading 1 format(s): 30280

2023-12-09 17:50:51,898 INFO     [download] Destination: /inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a

2023-12-09 17:51:17,354 INFO     [#563a64 4.0MiB/199MiB(2%) CN:8 DL:15MiB ETA:12s]

2023-12-09 17:51:17,354 INFO     [#563a64 22MiB/199MiB(11%) CN:8 DL:18MiB ETA:9s]

2023-12-09 17:51:17,354 INFO     [#563a64 40MiB/199MiB(20%) CN:8 DL:18MiB ETA:8s]

2023-12-09 17:51:17,354 INFO     [#563a64 75MiB/199MiB(37%) CN:8 DL:23MiB ETA:5s]

2023-12-09 17:51:17,354 INFO     [#563a64 86MiB/199MiB(43%) CN:8 DL:20MiB ETA:5s]

2023-12-09 17:51:17,354 INFO     [#563a64 92MiB/199MiB(46%) CN:8 DL:17MiB ETA:6s]

2023-12-09 17:51:17,354 INFO     [#563a64 97MiB/199MiB(49%) CN:8 DL:15MiB ETA:6s]

2023-12-09 17:51:17,354 INFO     [#563a64 103MiB/199MiB(51%) CN:8 DL:14MiB ETA:6s]

2023-12-09 17:51:17,354 INFO     [#563a64 108MiB/199MiB(54%) CN:8 DL:13MiB ETA:6s]

2023-12-09 17:51:17,354 INFO     [#563a64 113MiB/199MiB(57%) CN:8 DL:12MiB ETA:6s]

2023-12-09 17:51:17,355 INFO     [#563a64 119MiB/199MiB(59%) CN:8 DL:10MiB ETA:7s]

2023-12-09 17:51:17,355 INFO     [#563a64 124MiB/199MiB(62%) CN:8 DL:9.9MiB ETA:7s]

2023-12-09 17:51:17,355 INFO     [#563a64 130MiB/199MiB(65%) CN:8 DL:6.9MiB ETA:9s]

2023-12-09 17:51:17,355 INFO     [#563a64 135MiB/199MiB(68%) CN:8 DL:5.4MiB ETA:11s]

2023-12-09 17:51:17,355 INFO     [#563a64 140MiB/199MiB(70%) CN:8 DL:5.4MiB ETA:10s]

2023-12-09 17:51:17,355 INFO     [#563a64 146MiB/199MiB(73%) CN:8 DL:5.4MiB ETA:9s]

2023-12-09 17:51:17,355 INFO     [#563a64 152MiB/199MiB(76%) CN:8 DL:5.4MiB ETA:8s]

2023-12-09 17:51:17,355 INFO     [#563a64 157MiB/199MiB(79%) CN:8 DL:5.4MiB ETA:7s]

2023-12-09 17:51:17,355 INFO     [#563a64 162MiB/199MiB(81%) CN:8 DL:5.4MiB ETA:6s]

2023-12-09 17:51:17,355 INFO     [#563a64 168MiB/199MiB(84%) CN:8 DL:5.4MiB ETA:5s]

2023-12-09 17:51:17,355 INFO     [#563a64 173MiB/199MiB(87%) CN:8 DL:5.4MiB ETA:4s]

2023-12-09 17:51:17,355 INFO     [#563a64 179MiB/199MiB(90%) CN:8 DL:5.4MiB ETA:3s]

2023-12-09 17:51:17,355 INFO     [#563a64 184MiB/199MiB(92%) CN:8 DL:5.4MiB ETA:2s]

2023-12-09 17:51:17,355 INFO     [#563a64 190MiB/199MiB(95%) CN:8 DL:5.5MiB ETA:1s]

2023-12-09 17:51:17,356 INFO     [#563a64 198MiB/199MiB(99%) CN:2 DL:5.7MiB]

2023-12-09 17:51:17,356 INFO

2023-12-09 17:51:17,356 INFO     [download] 100% of  199.24MiB in 00:00:25 at 7.83MiB/s

2023-12-09 17:51:17,412 INFO     ['mathcing', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a']
2023-12-09 17:51:17.578669: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:17.583257: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:17.583602: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:17,583 INFO     [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
2023-12-09 17:51:17,624 INFO     ('/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'total seconds', '2:52:27')
2023-12-09 17:51:17,624 DEBUG    filelength 10347 is larger than thres 800, triggering a segmentation.
2023-12-09 17:51:17,625 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', 'infinity', 'to', '0:13:20']
Downloading data from https://github.com/ina-foss/inaSpeechSegmenter/releases/download/models/keras_speech_music_cnn.hdf5
5885888/5885888 [==============================] - 0s 0us/step
2023-12-09 17:51:18,425 DEBUG    Creating converter from 3 to 5
2023-12-09 17:51:18.432937: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:18.433287: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:18.433596: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:18.629284: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:18.629759: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:18.629796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1726] Could not identify NUMA node of platform GPU id 0, defaulting to 0.  Your kernel may not have been built with NUMA support.
2023-12-09 17:51:18.630129: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] could not open file to read NUMA node: /sys/bus/pci/devices/0000:09:00.0/numa_node
Your kernel may have been built without NUMA support.
2023-12-09 17:51:18.630189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 6731 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1070, pci bus id: 0000:09:00.0, compute capability: 6.1
2023-12-09 17:51:25.399724: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
956/956 - 3s - 3s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:51:29,636 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '0:13:20', 'to', '0:26:40']
974/974 - 3s - 3s/epoch - 3ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:51:37,802 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '0:26:40', 'to', '0:40:00']
974/974 - 4s - 4s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:51:48,264 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '0:40:00', 'to', '0:53:20']
1049/1049 - 4s - 4s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:52:01,015 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '0:53:20', 'to', '1:06:40']
1060/1060 - 4s - 4s/epoch - 3ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:52:12,034 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '1:06:40', 'to', '1:20:00']
841/841 - 3s - 3s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:52:22,934 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '1:20:00', 'to', '1:33:20']
691/691 - 2s - 2s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:52:34,152 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '1:33:20', 'to', '1:46:40']
948/948 - 3s - 3s/epoch - 3ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:52:46,408 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '1:46:40', 'to', '2:00:00']
923/923 - 3s - 3s/epoch - 3ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:52:59,648 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '2:00:00', 'to', '2:13:20']
1003/1003 - 4s - 4s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:53:14,850 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '2:13:20', 'to', '2:26:40']
995/995 - 4s - 4s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:53:30,550 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '2:26:40', 'to', '2:40:00']
1040/1040 - 4s - 4s/epoch - 4ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:53:48,351 INFO     ['segmenting', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', 'from', '2:40:00', 'to', 'infinity']
939/939 - 3s - 3s/epoch - 3ms/step
/usr/local/lib/python3.8/dist-packages/inaSpeechSegmenter/segmenter.py:80: RuntimeWarning: invalid value encountered in subtract
  data = (data - np.mean(data, axis=1).reshape((len(data), 1))) / np.std(data, axis=1).reshape((len(data), 1))
/usr/local/lib/python3.8/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
2023-12-09 17:54:04,997 INFO     ['extracted timestamps', ['0:35:56 - 0:40:03', '0:47:07 - 0:51:31', '0:51:59 - 0:55:55', '0:56:11 - 1:0:22', '1:2:39 - 1:4:29', '1:40:39 - 1:43:39', '1:52:38 - 1:57:11', '1:58:56 - 2:2:42', '2:7:06 - 2:10:22', '2:24:51 - 2:29:07', '2:31:08 - 2:35:01', '2:38:21 - 2:42:23', '2:43:59 - 2:47:14', '2:49:01 - 2:52:30']]
2023-12-09 17:54:04,998 INFO     00: 0:35:56 - 0:40:03
2023-12-09 17:54:04,998 INFO     01: 0:47:07 - 0:51:31
2023-12-09 17:54:04,998 INFO     02: 0:51:59 - 0:55:55
2023-12-09 17:54:04,999 INFO     03: 0:56:11 - 1:0:22
2023-12-09 17:54:04,999 INFO     04: 1:2:39 - 1:4:29
2023-12-09 17:54:04,999 INFO     05: 1:40:39 - 1:43:39
2023-12-09 17:54:04,999 INFO     06: 1:52:38 - 1:57:11
2023-12-09 17:54:04,999 INFO     07: 1:58:56 - 2:2:42
2023-12-09 17:54:04,999 INFO     08: 2:7:06 - 2:10:22
2023-12-09 17:54:04,999 INFO     09: 2:24:51 - 2:29:07
2023-12-09 17:54:04,999 INFO     10: 2:31:08 - 2:35:01
2023-12-09 17:54:04,999 INFO     11: 2:38:21 - 2:42:23
2023-12-09 17:54:04,999 INFO     12: 2:43:59 - 2:47:14
2023-12-09 17:54:04,999 INFO     13: 2:49:01 - 2:52:30
2023-12-09 17:54:05,001 INFO     ('calling', ['ffmpeg', '-ss', '0:35:56', '-to', '0:40:03', '-i', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208.m4a', '-vn', '-ab', '320k', '/inaseg/[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_00.mp3'], 'in terminal:')
...
2023-12-09 17:57:03,594 INFO     ['[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_04', 'shazam found to be', ['pick up the phone', 'Henry Moodie']]
2023-12-09 17:57:04,424 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:04,618 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/E59DCE67-722D-444C-B9A7-DBD62E26D284/4B033203-BBF3-40D1-B1F3-FDBE6850A325?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:06,586 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:06,865 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/1382B06D-160A-493A-B599-8DE938EF0EDE/E30409F6-1336-4C34-81E2-A543C3E8F6B1?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:08,846 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:09,212 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/9D4733E2-0E0E-42C1-8172-6CBCE430077C/3A2066AE-73E9-421C-9DF8-0F9299EEBE9D?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:11,171 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:11,548 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/3CC26A5C-ADF4-4957-A7A5-EEF2B014772F/BDA57298-9E6E-48E2-A5A9-3924424C0986?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:13,503 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:13,786 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/003F6C68-75EF-48FE-A464-DD823318F46B/85AE1AD0-9788-400F-A89E-19B46F99E539?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:15,766 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:16,087 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/7B852303-2334-422C-A0A2-D7934ED38EA5/7F28E33E-48F2-4E46-8E58-4ADCFEDD6DC5?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:18,045 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:18,323 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/3468F4D6-7AD7-471C-9D4D-6848BF4BC627/D1D123B5-AD23-4B36-813D-ADC905297C24?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:20,258 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:20,435 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/A8AC7F09-B3B9-4A84-A037-104273748EC4/D184125C-C79A-4CE1-989B-516D87777DCF?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 76
2023-12-09 17:57:20,659 DEBUG    Starting new HTTPS connection (1): amp.shazam.com:443
2023-12-09 17:57:20,797 DEBUG    https://amp.shazam.com:443 "POST /discovery/v5/ru/RU/iphone/-/tag/B595E243-0B23-4D61-AE17-3A8D8F565AE3/86AD630F-6E13-41EA-B67E-E415DFC83B95?sync=true&webv3=true&sampling=true&connected=&shazamapiversion=v3&sharehub=true&hubv5minorversion=v5.1&hidelb=true&video=v3 HTTP/1.1" 200 143
2023-12-09 17:57:20,835 ERROR    ['[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_10', 'shazam failed']
ubuntu@TirionFordring:~/github/ipynb$ ls
 BiliWatcher.py
 Dockerfile
 Dockerfile-gpu
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_00_春擬き by yanaginagi.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_01_Lose Yourself by Original Cartel.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_02_Love Will Keep Us Alive by Eagles.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_03.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_04_pick up the phone by Henry Moodie.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_05_Top of the World (In the Style of Carpenters) [Performance Track with Demonstration Vocals] by Done Again.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_06_ユキトキ by yanaginagi.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_07_Matsuri by Fujii Kaze.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_08_Cynical Night Plan by  irai.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_09_Beths Theme by Ólafur Arnalds.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_10.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_11_Falling Slowly by Cory Nugent.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_12_Good Riddance (feat. Ashley Barrett) by Darren Korb.mp3'
'[诺莺Nox] 【直播回放】啊？ 2023年12月8日23点场 20231208_13_History by 88rising & Rich Brian.mp3'
 __pycache__
 biliupWrapper.py
 configs
 constants.py
 cookieformatter.py
 docker-compose.yml
 inaConstant.py
 inacelery.py
 inaseg.py
 inaseg_inst.log
 initialize.py
 readme.md
 requirements.txt
 save.yaml
 save.yaml.old
 wbi.py
 ytdlp_cookies.txt
ubuntu@TirionFordring:~/github/ipynb$