58 lines
2.4 KiB
Python
58 lines
2.4 KiB
Python
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"""Configurate arguments."""
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import argparse
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INPUT_IMAGE_SIZE = 512
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# 0: confidence, 1: offset_x, 2: offset_y, 3: cos(direction), 4: sin(direction)
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NUM_FEATURE_MAP_CHANNEL = 5
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# image_size / 2^5 = 512 / 32 = 16
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FEATURE_MAP_SIZE = 16
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def add_common_arguments(parser):
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"""Add common arguments for training and inference."""
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parser.add_argument('--detector_weights',
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help="The weights of pretrained detector.")
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parser.add_argument('--depth_factor', type=int, default=32,
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help="Depth factor.")
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parser.add_argument('--disable_cuda', action='store_true',
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help="Disable CUDA.")
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parser.add_argument('--gpu_id', type=int, default=1,
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help="Select which gpu to use.")
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def get_parser_for_training():
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"""Return argument parser for training."""
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parser = argparse.ArgumentParser()
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parser.add_argument('--dataset_directory', required=True,
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help="The location of dataset.")
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parser.add_argument('--optimizer_weights',
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help="The weights of optimizer.")
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parser.add_argument('--batch_size', type=int, default=16,
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help="Batch size.")
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parser.add_argument('--num_epochs', type=int, default=100,
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help="Number of epochs to train for.")
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parser.add_argument('--lr', type=float, default=1e-3,
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help="The learning rate of back propagation.")
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parser.add_argument('--enable_visdom', action='store_true',
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help="Enable Visdom to visualize training progress")
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add_common_arguments(parser)
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return parser
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def get_parser_for_inference():
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"""Return argument parser for inference."""
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parser = argparse.ArgumentParser()
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parser.add_argument('--mode', required=True, choices=['image', 'video'],
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help="Inference image or video.")
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parser.add_argument('--video',
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help="Video path if you choose to inference video.")
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parser.add_argument('--thresh', type=float, default=0.5,
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help="Detection threshold.")
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parser.add_argument('--timing', action='store_true',
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help="Perform timing during reference.")
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parser.add_argument('--save', action='store_true',
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help="Save detection result to file.")
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add_common_arguments(parser)
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return parser
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