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import argparse
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import os
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from .utils import str2bool
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def parse_args():
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parser = argparse.ArgumentParser()
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#
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parser.add_argument('--output_dir',
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help='Output directory',
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default='./output', type=str)
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parser.add_argument('--loss',
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help='Train with \'ph\' for the first stage without geometric loss, \
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train with \'phge\' for the second stage with geometric loss',
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default='ph', choices=['ph', 'phge'], type=str)
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parser.add_argument('--data_type',
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default='syn', choices=['syn'], type=str)
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#
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parser.add_argument('--cmd',
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help='Start training or test',
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default='resume', choices=['retrain', 'resume', 'retest', 'test_init'], type=str)
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parser.add_argument('--epoch',
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help='If larger than -1, retest on the specified epoch',
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default=-1, type=int)
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parser.add_argument('--epochs',
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help='Training epochs',
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default=100, type=int)
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#
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parser.add_argument('--ms',
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help='If true, use multiscale loss',
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default=True, type=str2bool)
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parser.add_argument('--pattern_path',
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help='Path of the pattern image',
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default='./data/kinect_patttern.png', type=str)
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#
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parser.add_argument('--dp_weight',
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help='Weight of the disparity loss',
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default=0.02, type=float)
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parser.add_argument('--ge_weight',
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help='Weight of the geometric loss',
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default=0.1, type=float)
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#
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parser.add_argument('--lcn_radius',
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help='Radius of the window for LCN pre-processing',
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default=5, type=int)
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parser.add_argument('--max_disp',
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help='Maximum disparity',
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default=128, type=int)
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#
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parser.add_argument('--track_length',
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help='Track length for geometric loss',
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default=2, type=int)
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#
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parser.add_argument('--blend_im',
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help='Parameter for adding texture',
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default=0.6, type=float)
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args = parser.parse_args()
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args.exp_name = get_exp_name(args)
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return args
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def get_exp_name(args):
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name = f"exp_{args.data_type}"
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return name
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