You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
35 for (genre_index, genre_name) in enumerate(GENRES):
36 for i in range(TRACK_COUNT // len(GENRES)):
37 file_name = '{}/{}.000{}.au'.format(genre_name,
38 genre_name, str(i).zfill(2))
The text was updated successfully, but these errors were encountered:
Hello,
I am new to ML and CNNs so wanted to try this project out, can you please tell me the steps on how to run this code after I executed everything mentioned in the readme file successfully as after entering the input mp3 file into the HTML it just shows the animation and doesn't show the genre my song belongs to.
The
code doesn't work until you fix the code on line 16 and 37.
The file extension should be .wav or the respective file extension of your music files.
14 def get_default_shape(dataset_path):
15 tmp_features, _ = load_track(os.path.join(dataset_path,
16 'blues/blues.00000.au'))
35 for (genre_index, genre_name) in enumerate(GENRES):
36 for i in range(TRACK_COUNT // len(GENRES)):
37 file_name = '{}/{}.000{}.au'.format(genre_name,
38 genre_name, str(i).zfill(2))
The text was updated successfully, but these errors were encountered: