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https://github.com/YuzuZensai/spleeter.git
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47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
#!/usr/bin/env python
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# coding: utf8
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""" Unit testing for Separator class. """
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__email__ = 'research@deezer.com'
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__author__ = 'Deezer Research'
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__license__ = 'MIT License'
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from os.path import exists, join
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from tempfile import TemporaryDirectory
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from spleeter.audio.adapter import get_default_audio_adapter
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from spleeter.separator import Separator
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TEST_AUDIO_DESCRIPTOR = 'audio_example.mp3'
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TEST_CONFIGURATIONS = {
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'spleeter:2stems': ('vocals', 'accompaniment'),
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'spleeter:4stems': ('vocals', 'drums', 'bass', 'other'),
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'spleeter:5stems': ('vocals', 'drums', 'bass', 'piano', 'other')
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}
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def test_separate():
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""" Test separation from raw data. """
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adapter = get_default_audio_adapter()
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waveform, _ = adapter.load(TEST_AUDIO_DESCRIPTOR)
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for configuration, instruments in TEST_CONFIGURATIONS.items():
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separator = Separator(configuration)
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prediction = separator.separate(waveform)
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assert len(prediction) == 2
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for instrument in instruments:
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assert instrument in prediction
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def test_separate_to_file():
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""" Test file based separation. """
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for configuration, instruments in TEST_CONFIGURATIONS.items():
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separator = Separator(configuration)
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with TemporaryDirectory() as directory:
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separator.separate_to_file(
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TEST_AUDIO_DESCRIPTOR,
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directory)
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for instrument in instruments:
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assert exists(join(directory, '{}.wav'.format(instrument)))
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# TODO: Consider testing generated file as well.
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