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同时支持sanic web和本地main方法运行

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liyubo 2025-11-24 16:27:13 +08:00
parent e128908d67
commit bdb654da09
1 changed files with 11 additions and 4 deletions
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15
util/yolo2pix_new.py
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@ -8,7 +8,12 @@ from openpyxl.styles import Font, Alignment
from openpyxl.utils import get_column_letter
import glob
from datetime import datetime
from .smb_tool import *
try:
# 相对导入
from . import smb_tool
except ImportError:
# 直接运行时回退到绝对导入
import smb_tool
# ---------------- 常量 ----------------
CELL_WIDTH = 0.1 # 每格宽 (米)
@ -535,6 +540,7 @@ def process_dir(road_dict,pile_dict,dir="output",cell_area=CELL_AREA,grid_width=
min_pile, max_pile = get_min_max_pile(summary_data)
print(f"{road_code}-DR-{min_pile:0.3f}-{max_pile:0.3f}-detail-{current_time}.txt")
os.makedirs(f"{dir}/DR", exist_ok=True)
out_file = os.path.join(f"{dir}/DR",f"{road_code}-DR-{min_pile:0.3f}-{max_pile:0.3f}-detail-{current_time}.txt")
header = generate_header(road_type)
with open(out_file,'w',encoding='utf-8') as f:
@ -568,8 +574,8 @@ def process_dir(road_dict,pile_dict,dir="output",cell_area=CELL_AREA,grid_width=
for road_type, group in group_by_road_type.items():
min_pile, max_pile = get_min_max_pile(group)
print(f"DR/{road_code}-DR-{min_pile:0.3f}-{max_pile:0.3f}-{current_time}.txt")
out_file = os.path.join(dir,f"{road_code}-DR-{min_pile:0.3f}-{max_pile:0.3f}-{current_time}.txt")
print(f"{road_code}-DR-{min_pile:0.3f}-{max_pile:0.3f}-{current_time}.txt")
out_file = os.path.join(f"{dir}/DR",f"{road_code}-DR-{min_pile:0.3f}-{max_pile:0.3f}-{current_time}.txt")
header = generate_header(road_type)
group_list = []
@ -658,6 +664,7 @@ def process_dir(road_dict,pile_dict,dir="output",cell_area=CELL_AREA,grid_width=
# 病害明细列表.xlsx
print("输出:病害明细列表.xlsx")
os.makedirs(f"{dir}/excel", exist_ok=True)
headers = ['序号','路线编码','方向','桩号','路面类型','病害名称','程度','长度(m)',' 宽度(m)',' 面积(㎡)',' 横向位置','备注']
data_list = []
if summary_data:
@ -675,7 +682,7 @@ def process_dir(road_dict,pile_dict,dir="output",cell_area=CELL_AREA,grid_width=
data_list.append(excel_data)
all_data = [headers] + data_list
write_to_excel_pandas(all_data, img_file_path + '/excel/病害明细列表.xlsx')
smb_tool.write_to_excel_pandas(all_data, img_file_path + '/excel/病害明细列表.xlsx')
# 综合明细表.xlsx
print("输出:综合明细表.xlsx")