可视化模块修改

This commit is contained in:
weixin_46229132 2025-04-12 22:48:07 +08:00
parent 5c382e1810
commit a3a5e5738a
4 changed files with 66 additions and 58 deletions

View File

@ -15,8 +15,11 @@ class DirectoryManager:
def clean_output_dir(self):
"""清理输出目录"""
try:
shutil.rmtree(self.config.output_dir)
print(f"已清理输出目录: {self.config.output_dir}")
if os.path.exists(self.config.output_dir):
shutil.rmtree(self.config.output_dir)
print(f"已清理输出目录: {self.config.output_dir}")
else:
pass
except Exception as e:
print(f"清理输出目录时发生错误: {str(e)}")
raise
@ -65,7 +68,7 @@ class DirectoryManager:
free_space = disk_usage.free
# 计算所需空间输入大小的10倍
required_space = input_size * 10
required_space = input_size * 8
if free_space < required_space:
error_msg = (

View File

@ -2,6 +2,7 @@ import logging
import os
from datetime import datetime
def setup_logger(output_dir):
# 创建logs目录
log_dir = os.path.join(output_dir, 'logs')

View File

@ -85,21 +85,20 @@ class ODMProcessMonitor:
self.logger.error("容器运行失败的详细错误日志:")
for line in error_msg:
self.logger.error(line)
container.remove()
time.sleep(5)
else:
# 获取所有日志
logs = container.logs().decode("utf-8").splitlines()
# 输出最后 50 行日志
self.logger.info("容器运行完成,以下是最后 50 行日志:")
for line in logs[-50:]:
self.logger.info(line)
success = True
error_msg = ""
container.remove()
break
# 删除容器
container.remove()
time.sleep(5)
return success, error_msg

View File

@ -39,10 +39,10 @@ class FilterVisualizer:
return self.transformer.transform(lon, lat)
def visualize_filter_step(self,
current_points: pd.DataFrame,
previous_points: pd.DataFrame,
step_name: str,
save_name: Optional[str] = None):
current_points: pd.DataFrame,
previous_points: pd.DataFrame,
step_name: str,
save_name: Optional[str] = None):
"""
可视化单个过滤步骤的结果
@ -55,36 +55,40 @@ class FilterVisualizer:
self.logger.info(f"开始生成{step_name}的可视化结果")
# 找出被过滤掉的点
filtered_files = set(previous_points['file']) - set(current_points['file'])
filtered_points = previous_points[previous_points['file'].isin(filtered_files)]
filtered_files = set(
previous_points['file']) - set(current_points['file'])
filtered_points = previous_points[previous_points['file'].isin(
filtered_files)]
# 转换坐标到UTM
current_x, current_y = self._convert_to_utm(current_points['lon'], current_points['lat'])
filtered_x, filtered_y = self._convert_to_utm(filtered_points['lon'], filtered_points['lat'])
current_x, current_y = self._convert_to_utm(
current_points['lon'], current_points['lat'])
filtered_x, filtered_y = self._convert_to_utm(
filtered_points['lon'], filtered_points['lat'])
# 创建图形
plt.rcParams['font.sans-serif']=['SimHei']#黑体
plt.rcParams['font.sans-serif'] = ['SimHei'] # 黑体
plt.rcParams['axes.unicode_minus'] = False
plt.figure()
plt.figure(figsize=(20, 20))
# 绘制保留的点
plt.scatter(current_x, current_y,
color='blue', label='保留的点',
alpha=0.6, s=50)
color='blue', label='保留的点',
alpha=0.6, s=5)
# 绘制被过滤的点
if not filtered_points.empty:
plt.scatter(filtered_x, filtered_y,
color='red', marker='x', label='过滤的点',
alpha=0.6, s=100)
color='red', marker='x', label='过滤的点')
# 设置图形属性
plt.title(f"{step_name}后的GPS点\n"
f"(过滤: {len(filtered_points)}, 保留: {len(current_points)})",
fontsize=14)
f"(过滤: {len(filtered_points)}, 保留: {len(current_points)})",
fontsize=14)
plt.xlabel("东向坐标 (米)", fontsize=12)
plt.ylabel("北向坐标 (米)", fontsize=12)
plt.grid(True)
plt.axis('equal')
# 添加统计信息
stats_text = (
@ -94,7 +98,7 @@ class FilterVisualizer:
f"过滤率: {len(filtered_points)/len(previous_points)*100:.1f}%"
)
plt.figtext(0.02, 0.02, stats_text, fontsize=10,
bbox=dict(facecolor='white', alpha=0.8))
bbox=dict(facecolor='white', alpha=0.8))
# 添加图例
plt.legend(loc='upper right', fontsize=10)
@ -104,7 +108,8 @@ class FilterVisualizer:
# 保存图形
save_name = save_name or step_name.lower().replace(' ', '_')
save_path = os.path.join(self.output_dir, 'filter_imgs', f'filter_{save_name}.png')
save_path = os.path.join(
self.output_dir, 'filter_imgs', f'filter_{save_name}.png')
plt.savefig(save_path, dpi=300, bbox_inches='tight')
plt.close()