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33 lines
840 B
Python
33 lines
840 B
Python
from glob import glob
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import numpy as np
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import matplotlib.pyplot as plt
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from tqdm import tqdm
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spk_list = glob('./conv_feat/*')
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for spk in tqdm(spk_list):
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spk_id = spk.split('/')[-1]
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feats = []
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feat_list = glob(f'{spk}/*.npy')
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static_file = open(f'{spk}/{spk_id}_statistic.txt', 'w')
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for feat in feat_list:
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feat = np.load(feat)
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feats.append(feat)
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feats_all = feats[0]
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for feat in feats:
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feats_all = np.concatenate([feats_all, feat])
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feats_all = feats_all.transpose(1,0)
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for i in tqdm(range(512), leave=False):
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mean = feats_all[i].mean()
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std = feats_all[i].std()
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static_file.write(f'{mean} {std}')
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'''
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for i in range(512):
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plt.hist(feats_all[i], bins=500)
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plt.savefig(f'./conv_feat/dim_{i}.pdf')
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plt.close()
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'''
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