Cool_Tools/ultimatevocalremovergui
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Alter 4Band_ens_inference.py to prevent crashing

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This change should prevent 4Band_ens_inference.py from crashing or only partially completing all the inference rounds when the window size is set below 320.
The NewLayer models fail when the size is below 320, so this change simply sets a lower limit of 320 for those rounds.
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Nerdy314159265 2021-05-16 04:30:37 -05:00 committed by GitHub
parent 59a08e668c
commit cb076dfc80
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1 changed files with 3 additions and 3 deletions
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4Band_ens_inference.py
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@ -632,7 +632,7 @@ def main():
print('done')
vr = VocalRemover(model, device, args.window_size)
vr = VocalRemover(model, device, max(args.window_size,320))
if args.tta:
pred, X_mag, X_phase = vr.inference_tta(X_spec_m, {'value': args.aggressiveness, 'split_bin': mp.param['band'][1]['crop_stop']})
@ -747,7 +747,7 @@ def main():
print('done')
vr = VocalRemover(model, device, args.window_size)
vr = VocalRemover(model, device, max(args.window_size,320))
if args.tta:
pred, X_mag, X_phase = vr.inference_tta(X_spec_m, {'value': args.aggressiveness, 'split_bin': mp.param['band'][1]['crop_stop']})
@ -862,7 +862,7 @@ def main():
print('done')
vr = VocalRemover(model, device, args.window_size)
vr = VocalRemover(model, device, max(args.window_size,320))
if args.tta:
pred, X_mag, X_phase = vr.inference_tta(X_spec_m, {'value': args.aggressiveness, 'split_bin': mp.param['band'][1]['crop_stop']})