View extract-openl3-embeddings.py
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from pathlib import Path | |
import essentia.standard as es | |
import numpy as np | |
from essentia import Pool | |
class MelSpectrogramOpenL3: | |
def __init__(self, hop_time): | |
self.hop_time = hop_time |
View ismir_lbd_deep-embeddings-with-essentia-models.ipynb
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View freezer.py
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# tensorflow: loading model | |
sess = tf.Session() | |
sess.run(tf.global_variables_initializer()) | |
saver = tf.train.Saver() | |
results_folder = model + '/' | |
saver.restore(sess, results_folder) | |
gd = sess.graph.as_graph_def() |
View nsgcq_encoded.py
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import numpy as np | |
import matplotlib.pyplot as plt | |
import essentia.pytools.spectral as sp | |
from essentia.standard import MonoLoader, MonoWriter | |
from essentia import lin2db | |
PARAMS = { | |
'frameSize': 2 ** 14, | |
'sampleRate': 44100, |
View real-time_auto-tagging_with_essentia_tensorflow_pyaudio_musicnn.ipynb
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