Cool_Tools/ultimatevocalremovergui
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aufr33 2021-06-06 04:35:25 +03:00 committed by GitHub
parent 15bee04783
commit f5db30152b
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1 changed files with 23 additions and 23 deletions
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inference.py
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@ -206,31 +206,31 @@ def main():
else: else:
wave = spec_utils.cmb_spectrogram_to_wave(y_spec_m, mp) wave = spec_utils.cmb_spectrogram_to_wave(y_spec_m, mp)
print('done')
model_name = os.path.splitext(os.path.basename(args.pretrained_model))[0]
sf.write(os.path.join('separated', '{}_{}_{}.wav'.format(basename, model_name, stems['inst'])), wave, mp.param['sr'])
if True:
print('inverse stft of {}...'.format(stems['vocals']), end=' ')
if args.high_end_process.startswith('mirroring'):
input_high_end_ = spec_utils.mirroring(args.high_end_process, v_spec_m, input_high_end, mp)
wave = spec_utils.cmb_spectrogram_to_wave(v_spec_m, mp, input_high_end_h, input_high_end_)
else:
wave = spec_utils.cmb_spectrogram_to_wave(v_spec_m, mp)
print('done') print('done')
model_name = os.path.splitext(os.path.basename(args.pretrained_model))[0] sf.write(os.path.join('separated', '{}_{}_{}.wav'.format(basename, model_name, stems['vocals'])), wave, mp.param['sr'])
sf.write(os.path.join('separated', '{}_{}_{}.wav'.format(basename, model_name, stems['inst'])), wave, mp.param['sr'])
if True: if args.output_image:
print('inverse stft of {}...'.format(stems['vocals']), end=' ') with open('{}_{}.jpg'.format(basename, stems['inst']), mode='wb') as f:
image = spec_utils.spectrogram_to_image(y_spec_m)
if args.high_end_process.startswith('mirroring'): _, bin_image = cv2.imencode('.jpg', image)
input_high_end_ = spec_utils.mirroring(args.high_end_process, v_spec_m, input_high_end, mp) bin_image.tofile(f)
with open('{}_{}.jpg'.format(basename, stems['vocals']), mode='wb') as f:
wave = spec_utils.cmb_spectrogram_to_wave(v_spec_m, mp, input_high_end_h, input_high_end_) image = spec_utils.spectrogram_to_image(v_spec_m)
else: _, bin_image = cv2.imencode('.jpg', image)
wave = spec_utils.cmb_spectrogram_to_wave(v_spec_m, mp) bin_image.tofile(f)
print('done')
sf.write(os.path.join('separated', '{}_{}_{}.wav'.format(basename, model_name, stems['vocals'])), wave, mp.param['sr'])
if args.output_image:
with open('{}_{}.jpg'.format(basename, stems['inst']), mode='wb') as f:
image = spec_utils.spectrogram_to_image(y_spec_m)
_, bin_image = cv2.imencode('.jpg', image)
bin_image.tofile(f)
with open('{}_{}.jpg'.format(basename, stems['vocals']), mode='wb') as f:
image = spec_utils.spectrogram_to_image(v_spec_m)
_, bin_image = cv2.imencode('.jpg', image)
bin_image.tofile(f)
if args.deepextraction: if args.deepextraction: