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@ -94,32 +94,32 @@ class VocalRemover(object):
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def main():
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p = argparse.ArgumentParser()
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p.add_argument('--gpu', '-g', type=int, default=-1)
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p.add_argument('--pretrained_modelA', '-Am', type=str, default='models/MGM-v5-4Band-44100-BETA1.pth') ##DON'T CHNGE INERATION-1
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p.add_argument('--pretrained_modelB', '-B', type=str, default='models/MGM-v5-4Band-44100-BETA2.pth') ##DON'T CHNGE INERATION-2
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p.add_argument('--pretrained_modelC', '-C', type=str, default='models/HighPrecison_4band_1.pth') ##DON'T CHNGE INERATION-3
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p.add_argument('--pretrained_modelD', '-Da', type=str, default='models/HighPrecison_4band_2.pth') ##DON'T CHNGE INERATION-4
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p.add_argument('--pretrained_modelE', '-E', type=str, default='models/NewLayer_4band_1.pth') ##DON'T CHNGE INERATION-5
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p.add_argument('--pretrained_modelF', '-F', type=str, default='models/NewLayer_4band_2.pth') ##DON'T CHNGE INERATION-6
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p.add_argument('--pretrained_modelG', '-G', type=str, default='models/NewLayer_4band_3.pth') ##DON'T CHNGE INERATION-7
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p.add_argument('--pretrained_modelH', '-Hm', type=str, default='models/MGM-v5-MIDSIDE-44100-BETA1.pth') ##DON'T CHNGE INERATION-8
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p.add_argument('--pretrained_modelI', '-Im', type=str, default='models/MGM-v5-MIDSIDE-44100-BETA2.pth') ##DON'T CHNGE INERATION-9
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p.add_argument('--pretrained_modelJ', '-J', type=str, default='models/MGM-v5-3Band-44100-BETA.pth') ##DON'T CHNGE INERATION-10
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##p.add_argument('--pretrained_modelK', '-K', type=str, default='models/MGM-v5-2Band-32000-BETA1.pth') ##DON'T CHNGE INERATION-11
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##p.add_argument('--pretrained_modelL', '-L', type=str, default='models/MGM-v5-2Band-32000-BETA2.pth') ##DON'T CHNGE INERATION-12
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p.add_argument('--pretrained_modelM', '-Mm', type=str, default='models/LOFI_2band-1_33966KB.pth') ##DON'T CHNGE INERATION-13
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p.add_argument('--pretrained_modelN', '-Nm', type=str, default='models/LOFI_2band-2_33966KB.pth') ##DON'T CHNGE INERATION-14
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p.add_argument('--pretrained_modelA', '-Am', type=str, default='models/MGM-v5-4Band-44100-BETA1.pth') ##DON'T CHNGE ITERATION-1
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p.add_argument('--pretrained_modelB', '-B', type=str, default='models/MGM-v5-4Band-44100-BETA2.pth') ##DON'T CHNGE ITERATION-2
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p.add_argument('--pretrained_modelC', '-C', type=str, default='models/HighPrecison_4band_1.pth') ##DON'T CHNGE ITERATION-3
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p.add_argument('--pretrained_modelD', '-Da', type=str, default='models/HighPrecison_4band_2.pth') ##DON'T CHNGE ITERATION-4
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p.add_argument('--pretrained_modelE', '-E', type=str, default='models/NewLayer_4band_1.pth') ##DON'T CHNGE ITERATION-5
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p.add_argument('--pretrained_modelF', '-F', type=str, default='models/NewLayer_4band_2.pth') ##DON'T CHNGE ITERATION-6
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p.add_argument('--pretrained_modelG', '-G', type=str, default='models/NewLayer_4band_3.pth') ##DON'T CHNGE ITERATION-7
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p.add_argument('--pretrained_modelH', '-Hm', type=str, default='models/MGM-v5-MIDSIDE-44100-BETA1.pth') ##DON'T CHNGE ITERATION-8
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p.add_argument('--pretrained_modelI', '-Im', type=str, default='models/MGM-v5-MIDSIDE-44100-BETA2.pth') ##DON'T CHNGE ITERATION-9
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p.add_argument('--pretrained_modelJ', '-J', type=str, default='models/MGM-v5-3Band-44100-BETA.pth') ##DON'T CHNGE ITERATION-10
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##p.add_argument('--pretrained_modelK', '-K', type=str, default='models/MGM-v5-2Band-32000-BETA1.pth') ##DON'T CHNGE ITERATION-11
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##p.add_argument('--pretrained_modelL', '-L', type=str, default='models/MGM-v5-2Band-32000-BETA2.pth') ##DON'T CHNGE ITERATION-12
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p.add_argument('--pretrained_modelM', '-Mm', type=str, default='models/LOFI_2band-1_33966KB.pth') ##DON'T CHNGE ITERATION-13
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p.add_argument('--pretrained_modelN', '-Nm', type=str, default='models/LOFI_2band-2_33966KB.pth') ##DON'T CHNGE ITERATION-14
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p.add_argument('--deepextraction', '-D', action='store_true')
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p.add_argument('--saveindivsep', '-s', action='store_true')
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p.add_argument('--input', '-i', required=True)
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p.add_argument('--nn_architecture', '-n', type=str, default='default') ##DON'T CHNGE
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p.add_argument('--nn_architectureA', '-aB', type=str, default='123821KB') ##DON'T CHNGE
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p.add_argument('--nn_architectureB', '-bA', type=str, default='129605KB') ##DON'T CHNGE
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p.add_argument('--nn_architectureC', '-bC', type=str, default='33966KB') ##DON'T CHNGE
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p.add_argument('--model_params', '-m', type=str, default='modelparams/4band_44100.json') ##DON'T CHNGE
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p.add_argument('--model_paramsB', '-mB', type=str, default='modelparams/3band_44100_mid.json') ##DON'T CHNGE
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p.add_argument('--model_paramsC', '-mC', type=str, default='modelparams/3band_44100.json') ##DON'T CHNGE
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p.add_argument('--model_paramsD', '-mD', type=str, default='modelparams/2band_32000.json') ##DON'T CHNGE
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p.add_argument('--model_paramsE', '-mE', type=str, default='modelparams/2band_44100_lofi.json') ##DON'T CHNGE
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p.add_argument('--nn_architecture', '-n', type=str, default='default') ##DON'T CHNGE ITERATION-1, ITERATION-2, ITERATION-8, ITERATION-9, ITERATION-10, ITERATION-11, ITERATION-12
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p.add_argument('--nn_architectureA', '-aB', type=str, default='123821KB') ##DON'T CHNGE ITERATION-3, ITERATION-4
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p.add_argument('--nn_architectureB', '-bA', type=str, default='129605KB') ##DON'T CHNGE ITERATION-5, ITERATION-6, ITERATION-7
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p.add_argument('--nn_architectureC', '-bC', type=str, default='33966KB') ##DON'T CHNGE ITERATION-13, ITERATION-14
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p.add_argument('--model_params', '-m', type=str, default='modelparams/4band_44100.json') ##DON'T CHNGE ITERATION-1, ITERATION-2, ITERATION-3, ITERATION-4, ITERATION-5, ITERATION-6, ITERATION-7
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p.add_argument('--model_paramsB', '-mB', type=str, default='modelparams/3band_44100_mid.json') ##DON'T CHNGE ITERATION-8, ITERATION-9
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p.add_argument('--model_paramsC', '-mC', type=str, default='modelparams/3band_44100.json') ##DON'T CHNGE ITERATION-10
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p.add_argument('--model_paramsD', '-mD', type=str, default='modelparams/2band_32000.json') ##DON'T CHNGE ITERATION-11, ITERATION-12
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p.add_argument('--model_paramsE', '-mE', type=str, default='modelparams/2band_44100_lofi.json') ##DON'T CHNGE ITERATION-13, ITERATION-14
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p.add_argument('--window_size', '-w', type=int, default=512)
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p.add_argument('--output_image', '-I', action='store_true')
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p.add_argument('--postprocess', '-p', action='store_true')
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@ -128,7 +128,7 @@ def main():
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p.add_argument('--aggressiveness', '-A', type=float, default=0.05)
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args = p.parse_args()
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####################################################-INERATION-1-####################################################
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####################################################-ITERATION-1-####################################################
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if args.nn_architecture == 'default':
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from lib import nets
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@ -246,7 +246,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-2-####################################################
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####################################################-ITERATION-2-####################################################
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if args.nn_architecture == 'default':
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from lib import nets
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@ -360,7 +360,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-3-####################################################
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####################################################-ITERATION-3-####################################################
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if args.nn_architectureA == '123821KB':
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from lib import nets_123821KB as nets
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@ -475,7 +475,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-4-####################################################
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####################################################-ITERATION-4-####################################################
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if args.nn_architectureA == '123821KB':
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from lib import nets_123821KB as nets
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@ -590,7 +590,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-5-####################################################
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####################################################-ITERATION-5-####################################################
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if args.nn_architectureB == '129605KB':
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from lib import nets_129605KB as nets
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@ -705,7 +705,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-6-####################################################
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####################################################-ITERATION-6-####################################################
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if args.nn_architectureB == '129605KB':
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from lib import nets_129605KB as nets
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@ -820,7 +820,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-7-####################################################
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####################################################-ITERATION-7-####################################################
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if args.nn_architectureB == '129605KB':
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from lib import nets_129605KB as nets
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@ -935,7 +935,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-8-####################################################
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####################################################-ITERATION-8-####################################################
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if args.nn_architecture == 'default':
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from lib import nets
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@ -1050,7 +1050,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-9-####################################################
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####################################################-ITERATION-9-####################################################
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if args.nn_architecture == 'default':
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from lib import nets
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@ -1165,7 +1165,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-10-####################################################
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####################################################-ITERATION-10-####################################################
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if args.nn_architecture == 'default':
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from lib import nets
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@ -1280,7 +1280,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-11-####################################################
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####################################################-ITERATION-11-####################################################
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## if args.nn_architecture == 'default':
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## from lib import nets
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@ -1395,7 +1395,7 @@ def main():
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##
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## print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-12-####################################################
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####################################################-ITERATION-12-####################################################
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## if args.nn_architecture == 'default':
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## from lib import nets
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@ -1510,7 +1510,7 @@ def main():
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##
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## print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-13-####################################################
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####################################################-ITERATION-13-####################################################
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if args.nn_architectureC == '33966KB':
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from lib import nets_33966KB as nets
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@ -1625,7 +1625,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################-INERATION-14-####################################################
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####################################################-ITERATION-14-####################################################
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if args.nn_architectureC == '33966KB':
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from lib import nets_33966KB as nets
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@ -1740,7 +1740,7 @@ def main():
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print('Total time: {0:.{1}f}s'.format(time.time() - start_time, 1))
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####################################################INERATIONS-COMPLETE######################################################
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####################################################ITERATIONS-COMPLETE######################################################
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####################################################-ENSEMBLING-BEGIN-#######################################################
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