From e9cd12b2f689633758cbdae807d5e5db318c1b16 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=BE=99=E6=BE=B3?= <islong.ao@outlook.com>
Date: Wed, 18 Dec 2024 21:07:47 +0800
Subject: [PATCH] =?UTF-8?q?=E8=A7=84=E8=8C=83=E4=BB=A3=E7=A0=81=E6=A0=BC?=
 =?UTF-8?q?=E5=BC=8F?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 odm_preprocess.py                             |  56 ++++++++++--------
 .../__pycache__/gps_extractor.cpython-39.pyc  | Bin 1625 -> 3040 bytes
 .../__pycache__/gps_filter.cpython-39.pyc     | Bin 4692 -> 5292 bytes
 .../__pycache__/grid_divider.cpython-39.pyc   | Bin 1955 -> 3065 bytes
 .../__pycache__/time_filter.cpython-39.pyc    | Bin 0 -> 2384 bytes
 preprocess/command_runner.py                  |  21 +++----
 6 files changed, 41 insertions(+), 36 deletions(-)
 create mode 100644 preprocess/__pycache__/time_filter.cpython-39.pyc

diff --git a/odm_preprocess.py b/odm_preprocess.py
index 37faaf6..7d6ee2f 100644
--- a/odm_preprocess.py
+++ b/odm_preprocess.py
@@ -46,7 +46,7 @@ class ImagePreprocessor:
         self.gps_points = extractor.extract_all_gps()
         self.logger.info(f"成功提取 {len(self.gps_points)} 个GPS点")
         return self.gps_points
-    
+
     def time_filter(self) -> pd.DataFrame:
         """时间过滤"""
         self.logger.info("开始时间过滤")
@@ -64,8 +64,8 @@ class ImagePreprocessor:
         self.logger.info("开始过滤GPS点")
         filter = GPSFilter(self.config.output_dir)
 
-        self.logger.info(f"开始过滤孤立点 (距离阈值: {self.config.filter_distance_threshold}, 最小邻居数: {
-                         self.config.filter_min_neighbors})")
+        self.logger.info(
+            f"开始过滤孤立点(距离阈值: {self.config.filter_distance_threshold}, 最小邻居数: {self.config.filter_min_neighbors})")
         self.gps_points = filter.filter_isolated_points(
             self.gps_points,
             self.config.filter_distance_threshold,
@@ -73,8 +73,8 @@ class ImagePreprocessor:
         )
         self.logger.info(f"孤立点过滤后剩余 {len(self.gps_points)} 个GPS点")
 
-        self.logger.info(f"开始过滤密集点 (网格大小: {self.config.filter_grid_size}, 距离阈值: {
-                         self.config.filter_dense_distance_threshold})")
+        self.logger.info(
+            f"开始过滤密集点(网格大小: {self.config.filter_grid_size}, 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,
@@ -90,7 +90,8 @@ class ImagePreprocessor:
 
         self.logger.info(f"开始划分网格 (重叠率: {self.config.grid_overlap})")
         grid_divider = GridDivider(overlap=self.config.grid_overlap)
-        grids = grid_divider.divide_grids(self.gps_points, grid_size=self.config.grid_size)
+        grids = grid_divider.divide_grids(
+            self.gps_points, grid_size=self.config.grid_size)
         grid_points = grid_divider.assign_to_grids(self.gps_points, grids)
         self.logger.info(f"成功划分为 {len(grid_points)} 个网格")
         return grid_points
@@ -104,9 +105,11 @@ class ImagePreprocessor:
 
         for grid_idx, points in grid_points.items():
             if self.config.enable_grid_division:
-                output_dir = os.path.join(self.config.output_dir, f'grid_{grid_idx + 1}', 'project', 'images')
+                output_dir = os.path.join(
+                    self.config.output_dir, f'grid_{grid_idx + 1}', 'project', 'images')
             else:
-                output_dir = os.path.join(self.config.output_dir, 'project', 'images')
+                output_dir = os.path.join(
+                    self.config.output_dir, 'project', 'images')
 
             os.makedirs(output_dir, exist_ok=True)
 
@@ -131,21 +134,22 @@ class ImagePreprocessor:
 
         # 创建一个新的图形
         plt.figure(figsize=(20, 16))
-        
+
         # 绘制所有原始点
-        plt.scatter(original_points_df['lon'], 
-                   original_points_df['lat'],
-                   color='blue', 
-                   label="Original Points", 
-                   alpha=0.6)
-        
+        plt.scatter(original_points_df['lon'],
+                    original_points_df['lat'],
+                    color='blue',
+                    label="Original Points",
+                    alpha=0.6)
+
         # 绘制被过滤的点
-        filtered_points_df = original_points_df[original_points_df['file'].isin(filtered_files)]
-        plt.scatter(filtered_points_df['lon'], 
-                   filtered_points_df['lat'],
-                   color="red", 
-                   label="Filtered Points", 
-                   alpha=0.6)
+        filtered_points_df = original_points_df[original_points_df['file'].isin(
+            filtered_files)]
+        plt.scatter(filtered_points_df['lon'],
+                    filtered_points_df['lat'],
+                    color="red",
+                    label="Filtered Points",
+                    alpha=0.6)
 
         # 设置图形属性
         plt.title("GPS Coordinates of Images", fontsize=14)
@@ -153,7 +157,7 @@ class ImagePreprocessor:
         plt.ylabel("Latitude", fontsize=12)
         plt.grid(True)
         plt.legend()
-        
+
         # 保存图形
         plt.savefig(os.path.join(self.config.output_dir, 'filter_GPS.png'))
         plt.close()
@@ -161,7 +165,7 @@ class ImagePreprocessor:
 
     def process(self):
         """执行完整的预处理流程"""
-        try:            
+        try:
             self.extract_gps()
             self.time_filter()
             self.filter_points()
@@ -170,7 +174,7 @@ class ImagePreprocessor:
             self.visualize_results()
             self.logger.info("预处理任务完成")
             self.command_runner.run_grid_commands(
-                grid_points, 
+                grid_points,
                 self.config.enable_grid_division
             )
         except Exception as e:
@@ -181,8 +185,8 @@ class ImagePreprocessor:
 if __name__ == '__main__':
     # 创建配置
     config = PreprocessConfig(
-        image_dir=r'C:\datasets\1815\images',
-        output_dir=r'C:\datasets\1815\output',
+        image_dir=r'E:\datasets\UAV\1815',
+        output_dir=r'E:\datasets\UAV\1815\output',
         filter_grid_size=0.001,
         filter_dense_distance_threshold=10,
         filter_distance_threshold=0.001,
diff --git a/preprocess/__pycache__/gps_extractor.cpython-39.pyc b/preprocess/__pycache__/gps_extractor.cpython-39.pyc
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diff --git a/preprocess/command_runner.py b/preprocess/command_runner.py
index 2b8c9b1..207d888 100644
--- a/preprocess/command_runner.py
+++ b/preprocess/command_runner.py
@@ -4,13 +4,14 @@ import subprocess
 from typing import Dict
 import pandas as pd
 
+
 class CommandRunner:
     """执行网格处理命令的类"""
 
     def __init__(self, output_dir: str):
         """
         初始化命令执行器
-        
+
         Args:
             output_dir: 输出目录路径
         """
@@ -20,7 +21,7 @@ class CommandRunner:
     def run_grid_commands(self, grid_points: Dict[int, pd.DataFrame], enable_grid_division: bool = True):
         """
         为每个网格顺序运行指定命令
-        
+
         Args:
             grid_points: 网格点数据字典，键为网格索引，值为该网格的点数据
             enable_grid_division: 是否启用网格划分
@@ -30,7 +31,7 @@ class CommandRunner:
             return
 
         self.logger.info("开始执行网格处理命令")
-        
+
         # 顺序执行每个网格的命令
         for grid_idx in grid_points.keys():
             try:
@@ -42,10 +43,10 @@ class CommandRunner:
     def _run_command(self, grid_idx: int):
         """
         执行单个网格的命令
-        
+
         Args:
             grid_idx: 网格索引
-            
+
         Raises:
             Exception: 当命令执行失败时抛出异常
         """
@@ -55,7 +56,7 @@ class CommandRunner:
             command = f"docker run -ti --rm -v {grid_dir}:/datasets opendronemap/odm --project-path /datasets project --feature-quality lowest --force-gps"
 
             self.logger.info(f"执行命令: {command} 在目录: {grid_dir}")
-            
+
             # 在指定目录下执行命令
             process = subprocess.Popen(
                 command,
@@ -65,10 +66,10 @@ class CommandRunner:
                 stderr=subprocess.PIPE,
                 text=True
             )
-            
+
             # 获取命令输出
             stdout, stderr = process.communicate()
-            
+
             # 检查命令执行结果
             if process.returncode == 0:
                 self.logger.info(f"网格 {grid_idx + 1} 命令执行成功")
@@ -83,7 +84,7 @@ class CommandRunner:
                     f.write(f"\n错误日志：\n")
                     f.write(f"{stderr}")
                 raise Exception(f"命令执行失败: {stderr}")
-                
+
         except Exception as e:
             self.logger.error(f"网格 {grid_idx + 1} 命令执行出错: {str(e)}")
-            raise
\ No newline at end of file
+            raise