小修
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@ -211,28 +211,6 @@ class ImagePreprocessor:
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self.visualizer.visualize_filter_step(
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self.gps_points, previous_points, "3-Time Group Overlap")
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# # TODO 过滤密集点算法还需要更新
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# def filter_points(self):
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# """过滤GPS点"""
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# # 过滤密集点
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# previous_points = self.gps_points.copy()
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# self.logger.info(
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# f"开始过滤密集点(网格大小: {self.config.filter_grid_size}, "
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# f"距离阈值: {self.config.filter_dense_distance_threshold})"
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# )
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# self.gps_points = filter.filter_dense_points(
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# self.gps_points,
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# grid_size=self.config.filter_grid_size,
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# distance_threshold=self.config.filter_dense_distance_threshold,
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# time_threshold=self.config.filter_time_threshold,
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# )
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# self.logger.info(f"密集点过滤后剩余 {len(self.gps_points)} 个GPS点")
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# # 可视化密集点过滤结果
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# self.visualizer.visualize_filter_step(
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# self.gps_points, previous_points, "4-Dense Points")
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def divide_grids(self) -> Tuple[Dict[tuple, pd.DataFrame], Dict[tuple, tuple]]:
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"""划分网格
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Returns:
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@ -6,3 +6,5 @@ piexif
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geopy
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psutil>=5.8.0
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docker>=6.1.3
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tqdm
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geopy
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@ -1,4 +1,5 @@
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import os
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import time
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import logging
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import subprocess
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from typing import Dict, Tuple
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@ -226,9 +227,10 @@ class ODMProcessMonitor:
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self.logger.error("内存不足,请减少输入图像的数量")
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return False, "内存不足"
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except StrangeValuesError:
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# TODO 怎么处理异常值
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self.logger.error("重建过程中出现异常值")
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return False, "检测到异常值,请检查输入图像"
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return False, "检测到异常值,请检查输入数据集的采样间隔情况"
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time.sleep(10)
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return False, f"网格 ({grid_id[0]},{grid_id[1]}) 处理失败"
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