오디 오 처리 windows 10 에서 python 3 자 라 이브 러 리 librosa 설치

8430 단어 오디 오 처리
librosa 는 오디 오 라 이브 러 리 의 opencv 를 처리 하고 python 스 크 립 트 를 사용 하여 오디 오 를 연구 하 며 먼저 3 자 라 이브 러 리 librosa 를 설치 합 니 다.
다음 과 같이 청 화 미 러 소스 를 통 해 librosa 를 설치 합 니 다.
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple librosa
D:\D00_Python3\D00A2_python3.7.3\install>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple librosa

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Processing c:\users\administrator\appdata\local\pip\cache\wheels\6e\d3\47\7582e7e63ee9127f4773adeb8dcd8490771c063e2607354ba0\librosa-0.7.2-py3-none-any.whl
Requirement already satisfied: numba>=0.43.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (0.50.0)
Requirement already satisfied: joblib>=0.12 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (0.15.1)
Requirement already satisfied: resampy>=0.2.2 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (0.2.2)
Requirement already satisfied: numpy>=1.15.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (1.18.5)
Requirement already satisfied: audioread>=2.0.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (2.1.8)
Requirement already satisfied: scipy>=1.0.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (1.4.1)
Requirement already satisfied: soundfile>=0.9.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (0.10.3.post1)
Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (0.23.1)
Requirement already satisfied: six>=1.3 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (1.15.0)
Requirement already satisfied: decorator>=3.0.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from librosa) (4.4.2)
Requirement already satisfied: setuptools in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from numba>=0.43.0->librosa) (47.1.1)
Requirement already satisfied: llvmlite<0.34,>=0.33.0.dev0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from numba>=0.43.0->librosa) (0.33.0)
Requirement already satisfied: cffi>=1.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from soundfile>=0.9.0->librosa) (1.14.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa) (2.1.0)
Requirement already satisfied: pycparser in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from cffi>=1.0->soundfile>=0.9.0->librosa) (2.20)
Installing collected packages: librosa
Successfully installed librosa-0.7.2

D:\D00_Python3\D00A2_python3.7.3\install>

pip list 3 자 패키지 보기:
D:\D00_Python3\D00A2_python3.7.3\install>pip list
Package              Version
-------------------- ------------
absl-py              0.9.0
astor                0.8.1
audioread            2.1.8
cffi                 1.14.0
decorator            4.4.2
defusedxml           0.6.0
gast                 0.3.3
google-pasta         0.2.0
grpcio               1.29.0
h5py                 2.10.0
importlib-metadata   1.6.1
joblib               0.15.1
Keras-Applications   1.0.8
Keras-Preprocessing  1.1.2
librosa              0.7.2
llvmlite             0.33.0
Markdown             3.2.2
networkx             2.2
numba                0.50.0
numpy                1.18.5
pip                  20.1.1
protobuf             3.12.2
pycparser            2.20
resampy              0.2.2
scikit-learn         0.23.1
scipy                1.4.1
setuptools           47.1.1
six                  1.15.0
SoundFile            0.10.3.post1
tensorboard          1.14.0
tensorflow           1.14.0
tensorflow-estimator 1.14.0
termcolor            1.1.0
threadpoolctl        2.1.0
Werkzeug             1.0.1
wheel                0.34.2
wrapt                1.12.1
zipp                 3.1.0

D:\D00_Python3\D00A2_python3.7.3\install>

위 와 같다
librosa ---- 0.7.2
numba-----0.50.0
다음은 librosa 를 사용 하여 numba 의 오 류 를 보고 합 니 다!
D:\D00_Python3\D00A2_python3.7.3\install>python -c "import librosa"
Traceback (most recent call last):
  File "", line 1, in 
  File "D:\D00_Python3\D00A2_python3.7.3\install\lib\site-packages\librosa\__init__.py", line 12, in 
    from . import core
  File "D:\D00_Python3\D00A2_python3.7.3\install\lib\site-packages\librosa\core\__init__.py", line 125, in 
    from .time_frequency import *  # pylint: disable=wildcard-import
  File "D:\D00_Python3\D00A2_python3.7.3\install\lib\site-packages\librosa\core\time_frequency.py", line 11, in 
    from ..util.exceptions import ParameterError
  File "D:\D00_Python3\D00A2_python3.7.3\install\lib\site-packages\librosa\util\__init__.py", line 77, in 
    from .utils import *  # pylint: disable=wildcard-import
  File "D:\D00_Python3\D00A2_python3.7.3\install\lib\site-packages\librosa\util\utils.py", line 15, in 
    from .decorators import deprecated
  File "D:\D00_Python3\D00A2_python3.7.3\install\lib\site-packages\librosa\util\decorators.py", line 9, in 
    from numba.decorators import jit as optional_jit
ModuleNotFoundError: No module named 'numba.decorators'

D:\D00_Python3\D00A2_python3.7.3\install>

해결 방법:
numba 를 마 운 트 해제 한 후,하강 버 전의 numba 를 다시 설치 하고,numba==0.48.0 을 설치 합 니 다.
pip uninstall numba
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numba==0.48.0
python -c "import librosa;print(librosa.__version__) "
올 바른 librosa 라 이브 러 리 를 성공 적 으로 설치 한 것 을 볼 수 있 습 니 다!
D:\D00_Python3\D00A2_python3.7.3\install>pip uninstall numba
Found existing installation: numba 0.50.0
Uninstalling numba-0.50.0:
  Would remove:
    d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages
umba-0.50.0.dist-info\* d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages
umba\* d:\d00_python3\d00a2_python3.7.3\install\scripts
umba d:\d00_python3\d00a2_python3.7.3\install\scripts\pycc Proceed (y/n)? y Successfully uninstalled numba-0.50.0 D:\D00_Python3\D00A2_python3.7.3\install>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numba==0.48.0 Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting numba==0.48.0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f5/ca/9e47464d388c3372454639d1739fa21605862c8815d53279e1216b5694e1/numba-0.48.0-cp37-cp37m-win_amd64.whl (2.1 MB)|█████████████████████████████▌ | 1.9 MB 2.2 MB/s eta 0:00:01 |██████████████████████████████ | 2.0 MB 2.2 MB/s eta 0:00:01 |██████████████████████████████▌ | 2.0 MB 2.2 MB/s eta 0:00:0 |███████████████████████████████ | 2.0 MB 2.2 MB/s eta 0:00:0 |███████████████████████████████▌| 2.1 MB 2.2 MB/s eta 0:00: |████████████████████████████████| 2.1 MB 2.2 MB/s Requirement already satisfied: setuptools in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from numba==0.48.0) (47.1.1) Requirement already satisfied: numpy>=1.15 in d:\d00_python3\d00a2_python3.7.3\install\lib\site-packages (from numba==0.48.0) (1.18.5) Collecting llvmlite<0.32.0,>=0.31.0dev0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/1d/83/cd2843726a6316e372822e9e42cd0083b6d1d98d89d53880e7e67d5eec68/llvmlite-0.31.0-cp37-cp37m-win_amd64.whl (13.6 MB) ████████████████████████████▌ | 12.1 MB 3.3 MB/s eta 0:00:01 |█████████████████████████████ | 12.5 MB 3.3 MB/s eta 0:00:01 |██████████████████████████████ | 12.9 MB 3.3 MB/s eta 0:00:0 |██████████████████████████████▌ | 13.1 MB 3.3 MB/s eta 0:00: |████████████████████████████████| 13.6 MB 434 kB/s Installing collected packages: llvmlite, numba Attempting uninstall: llvmlite Found existing installation: llvmlite 0.33.0 Uninstalling llvmlite-0.33.0: Successfully uninstalled llvmlite-0.33.0 Successfully installed llvmlite-0.31.0 numba-0.48.0 D:\D00_Python3\D00A2_python3.7.3\install>python -c "import librosa;print(librosa.__version__) " 0.7.2

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