50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
import argparse
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from datetime import timedelta
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from odm_preprocess import PreprocessConfig, ImagePreprocessor
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def parse_args():
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parser = argparse.ArgumentParser(description='ODM预处理工具')
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# 必需参数
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parser.add_argument('--image_dir', required=True, help='输入图片目录路径')
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parser.add_argument('--output_dir', required=True, help='输出目录路径')
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# 可选参数
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parser.add_argument('--mode', default='重建模式', choices=['快拼模式', '三维模式', '重建模式'], help='处理模式')
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parser.add_argument('--grid_size', type=float, default=1000, help='网格大小(米)')
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parser.add_argument('--grid_overlap', type=float, default=0.05, help='网格重叠率')
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parser.add_argument('--produce_dem', action='store_true', help='是否生成DEM')
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args = parser.parse_args()
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return args
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def main():
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args = parse_args()
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# 创建配置
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config = PreprocessConfig(
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image_dir=args.image_dir,
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output_dir=args.output_dir,
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mode=args.mode,
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grid_size=args.grid_size,
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grid_overlap=args.grid_overlap,
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produce_dem=args.produce_dem,
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# 其他参数使用默认值
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cluster_eps=0.01,
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cluster_min_samples=5,
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time_group_overlap_threshold=0.7,
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time_group_interval=timedelta(minutes=5),
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filter_distance_threshold=0.001,
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filter_min_neighbors=6,
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filter_grid_size=0.001,
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filter_dense_distance_threshold=10,
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filter_time_threshold=timedelta(minutes=5),
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)
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# 创建处理器并执行
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processor = ImagePreprocessor(config)
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processor.process()
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if __name__ == '__main__':
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main() |