chargement data

8efcb328 · David Maxence · 1018dee2 · 8efcb328 · 8efcb328
Commit 8efcb328 authored Mar 10, 2021 by David Maxence
--- a/.ipynb_checkpoints/Data_loading-checkpoint.ipynb
+++ b/.ipynb_checkpoints/Data_loading-checkpoint.ipynb
+%% Cell type:code id:smart-nerve tags:
+
+``` python
+import numpy as np
+import os
+import pandas as pd
+from scipy.io import wavfile
+```
+
+%% Cell type:code id:religious-module tags:
+
+``` python
+US8K_audio = os.path.abspath('/home/maxence/Documents/INSA/ASI4/s8/DL/UrbanSound8K/audio/')
+US8K_metadata = os.path.abspath('/home/maxence/Documents/INSA/ASI4/s8/DL/UrbanSound8K/metadata/UrbanSound8K.csv')
+```
+
+%% Cell type:code id:bizarre-visiting tags:
+
+``` python
+metadata = pd.read_csv(US8K_metadata)
+```
+
+%% Cell type:code id:biblical-embassy tags:
+
+``` python
+metadata
+```
+
+%%%% Output: execute_result
+
+             slice_file_name    fsID       start         end  salience  fold  \
+    0       100032-3-0-0.wav  100032    0.000000    0.317551         1     5
+    1     100263-2-0-117.wav  100263   58.500000   62.500000         1     5
+    2     100263-2-0-121.wav  100263   60.500000   64.500000         1     5
+    3     100263-2-0-126.wav  100263   63.000000   67.000000         1     5
+    4     100263-2-0-137.wav  100263   68.500000   72.500000         1     5
+    ...                  ...     ...         ...         ...       ...   ...
+    8727     99812-1-2-0.wav   99812  159.522205  163.522205         2     7
+    8728     99812-1-3-0.wav   99812  181.142431  183.284976         2     7
+    8729     99812-1-4-0.wav   99812  242.691902  246.197885         2     7
+    8730     99812-1-5-0.wav   99812  253.209850  255.741948         2     7
+    8731     99812-1-6-0.wav   99812  332.289233  334.821332         2     7
+    
+          classID             class
+    0           3          dog_bark
+    1           2  children_playing
+    2           2  children_playing
+    3           2  children_playing
+    4           2  children_playing
+    ...       ...               ...
+    8727        1          car_horn
+    8728        1          car_horn
+    8729        1          car_horn
+    8730        1          car_horn
+    8731        1          car_horn
+    
+    [8732 rows x 8 columns]
+
+%% Cell type:code id:noble-round tags:
+
+``` python
+np.unique(metadata['class'])
+```
+
+%%%% Output: execute_result
+
+    array(['air_conditioner', 'car_horn', 'children_playing', 'dog_bark',
+           'drilling', 'engine_idling', 'gun_shot', 'jackhammer', 'siren',
+           'street_music'], dtype=object)
+
+%% Cell type:markdown id:identical-elephant tags:
+
+Nous avons donc 10 classes dans le dataset qui sont : air_conditioner', 'car_horn', 'children_playing', 'dog_bark','drilling', 'engine_idling', 'gun_shot', 'jackhammer', 'siren','street_music'
+
+%% Cell type:code id:ignored-thursday tags:
+
+``` python
+metadata['class'].value_counts()
+```
+
+%%%% Output: execute_result
+
+    dog_bark            1000
+    air_conditioner     1000
+    street_music        1000
+    children_playing    1000
+    jackhammer          1000
+    drilling            1000
+    engine_idling       1000
+    siren                929
+    car_horn             429
+    gun_shot             374
+    Name: class, dtype: int64
+
+%% Cell type:code id:solved-alaska tags:
+
+``` python
+```
--- a/Data_loading.ipynb
+++ b/Data_loading.ipynb
+%% Cell type:code id:smart-nerve tags:
+
+``` python
+import numpy as np
+import os
+import pandas as pd
+from scipy.io import wavfile
+```
+
+%% Cell type:code id:religious-module tags:
+
+``` python
+US8K_audio = os.path.abspath('/home/maxence/Documents/INSA/ASI4/s8/DL/UrbanSound8K/audio/')
+US8K_metadata = os.path.abspath('/home/maxence/Documents/INSA/ASI4/s8/DL/UrbanSound8K/metadata/UrbanSound8K.csv')
+```
+
+%% Cell type:code id:bizarre-visiting tags:
+
+``` python
+metadata = pd.read_csv(US8K_metadata)
+```
+
+%% Cell type:code id:biblical-embassy tags:
+
+``` python
+metadata
+```
+
+%%%% Output: execute_result
+
+             slice_file_name    fsID       start         end  salience  fold  \
+    0       100032-3-0-0.wav  100032    0.000000    0.317551         1     5
+    1     100263-2-0-117.wav  100263   58.500000   62.500000         1     5
+    2     100263-2-0-121.wav  100263   60.500000   64.500000         1     5
+    3     100263-2-0-126.wav  100263   63.000000   67.000000         1     5
+    4     100263-2-0-137.wav  100263   68.500000   72.500000         1     5
+    ...                  ...     ...         ...         ...       ...   ...
+    8727     99812-1-2-0.wav   99812  159.522205  163.522205         2     7
+    8728     99812-1-3-0.wav   99812  181.142431  183.284976         2     7
+    8729     99812-1-4-0.wav   99812  242.691902  246.197885         2     7
+    8730     99812-1-5-0.wav   99812  253.209850  255.741948         2     7
+    8731     99812-1-6-0.wav   99812  332.289233  334.821332         2     7
+    
+          classID             class
+    0           3          dog_bark
+    1           2  children_playing
+    2           2  children_playing
+    3           2  children_playing
+    4           2  children_playing
+    ...       ...               ...
+    8727        1          car_horn
+    8728        1          car_horn
+    8729        1          car_horn
+    8730        1          car_horn
+    8731        1          car_horn
+    
+    [8732 rows x 8 columns]
+
+%% Cell type:code id:noble-round tags:
+
+``` python
+np.unique(metadata['class'])
+```
+
+%%%% Output: execute_result
+
+    array(['air_conditioner', 'car_horn', 'children_playing', 'dog_bark',
+           'drilling', 'engine_idling', 'gun_shot', 'jackhammer', 'siren',
+           'street_music'], dtype=object)
+
+%% Cell type:markdown id:identical-elephant tags:
+
+Nous avons donc 10 classes dans le dataset qui sont : air_conditioner', 'car_horn', 'children_playing', 'dog_bark','drilling', 'engine_idling', 'gun_shot', 'jackhammer', 'siren','street_music'
+
+%% Cell type:code id:ignored-thursday tags:
+
+``` python
+metadata['class'].value_counts()
+```
+
+%%%% Output: execute_result
+
+    dog_bark            1000
+    air_conditioner     1000
+    street_music        1000
+    children_playing    1000
+    jackhammer          1000
+    drilling            1000
+    engine_idling       1000
+    siren                929
+    car_horn             429
+    gun_shot             374
+    Name: class, dtype: int64
+
+%% Cell type:code id:solved-alaska tags:
+
+``` python
+```