diff --git a/odm_preprocess.py b/odm_preprocess.py
index de8b891..a64503a 100644
--- a/odm_preprocess.py
+++ b/odm_preprocess.py
@@ -211,28 +211,6 @@ class ImagePreprocessor:
         self.visualizer.visualize_filter_step(
             self.gps_points, previous_points, "3-Time Group Overlap")
 
-    # # TODO 过滤密集点算法还需要更新
-    # def filter_points(self):
-    #     """过滤GPS点"""
-
-        # # 过滤密集点
-        # previous_points = self.gps_points.copy()
-        # self.logger.info(
-        #     f"开始过滤密集点(网格大小: {self.config.filter_grid_size}, "
-        #     f"距离阈值: {self.config.filter_dense_distance_threshold})"
-        # )
-        # self.gps_points = filter.filter_dense_points(
-        #     self.gps_points,
-        #     grid_size=self.config.filter_grid_size,
-        #     distance_threshold=self.config.filter_dense_distance_threshold,
-        #     time_threshold=self.config.filter_time_threshold,
-        # )
-        # self.logger.info(f"密集点过滤后剩余 {len(self.gps_points)} 个GPS点")
-
-        # # 可视化密集点过滤结果
-        # self.visualizer.visualize_filter_step(
-        #     self.gps_points, previous_points, "4-Dense Points")
-
     def divide_grids(self) -> Tuple[Dict[tuple, pd.DataFrame], Dict[tuple, tuple]]:
         """划分网格
         Returns:
diff --git a/requirements.txt b/requirements.txt
index c7f738b..b942a34 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,3 +6,5 @@ piexif
 geopy
 psutil>=5.8.0
 docker>=6.1.3
+tqdm
+geopy
\ No newline at end of file
diff --git a/utils/odm_monitor.py b/utils/odm_monitor.py
index 80c2001..3ebad81 100644
--- a/utils/odm_monitor.py
+++ b/utils/odm_monitor.py
@@ -1,4 +1,5 @@
 import os
+import time
 import logging
 import subprocess
 from typing import Dict, Tuple
@@ -226,9 +227,10 @@ class ODMProcessMonitor:
                 self.logger.error("内存不足，请减少输入图像的数量")
                 return False, "内存不足"
             except StrangeValuesError:
-                # TODO 怎么处理异常值
                 self.logger.error("重建过程中出现异常值")
-                return False, "检测到异常值，请检查输入图像"
+                return False, "检测到异常值，请检查输入数据集的采样间隔情况"
+
+            time.sleep(10)
 
         return False, f"网格 ({grid_id[0]},{grid_id[1]}) 处理失败"