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modify fx norm
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__pycache__/inference.cpython-311.pyc
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Binary files a/__pycache__/inference.cpython-311.pyc and b/__pycache__/inference.cpython-311.pyc differ
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inference.py
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@@ -35,6 +35,7 @@ class MasteringStyleTransfer:
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STEMS=['mixture'], \
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EFFECTS=['eq', 'imager', 'loudness'])
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def load_effects_encoder(self):
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effects_encoder = Effects_Encoder(self.args.cfg_enc)
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reload_weights(effects_encoder, self.args.encoder_path, self.device)
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STEMS=['mixture'], \
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EFFECTS=['eq', 'imager', 'loudness'])
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def load_effects_encoder(self):
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effects_encoder = Effects_Encoder(self.args.cfg_enc)
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reload_weights(effects_encoder, self.args.encoder_path, self.device)
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modules/__pycache__/data_normalization.cpython-311.pyc
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Binary files a/modules/__pycache__/data_normalization.cpython-311.pyc and b/modules/__pycache__/data_normalization.cpython-311.pyc differ
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modules/data_normalization.py
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@@ -323,7 +323,6 @@ class Audio_Effects_Normalizer:
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return normalized_audio
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def lufs_normalize(x, sr, lufs, log=True):
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# measure the loudness first
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@@ -340,3 +339,5 @@ def lufs_normalize(x, sr, lufs, log=True):
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loudness = meter.integrated_loudness(loudness_normalized_audio)
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if log:
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print("new loudness: ", loudness," max value: ", np.max(np.abs(loudness_normalized_audio)))
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return normalized_audio
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def lufs_normalize(x, sr, lufs, log=True):
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# measure the loudness first
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loudness = meter.integrated_loudness(loudness_normalized_audio)
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if log:
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print("new loudness: ", loudness," max value: ", np.max(np.abs(loudness_normalized_audio)))
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return loudness_normalized_audio
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