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main3_last10cts.py
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import os
from test import *
from RoadNetwortLable_by_each_road import *
from concat_all_label_image import *
from GT_post_processing import *
from shp2txt_transform import *
import sys
sys.path.append('topology_construction')
from topology_construction.transform_graph_main import *
from mapcompare import *
from mapcompare_OSM import *
import glob
import PIL
from PIL import Image
import pandas as pd
import numpy as np
PIL.Image.MAX_IMAGE_PIXELS = None
import datetime
def main():
print("Hello World")
#test()
with open("time_log_last10cts2.txt","w") as log_f:
for year in [2021]: #2017,
for county in ['mingshuixian','xijixian','congjiangxian']: #'debaoxian','zhuoluxian','shangyixian','songxian','sinanxian','tongjiangxian','lipingxian',
if county == 'debaoxian':
continue
now_time = datetime.datetime.now()
log_f.write(county + ' ' +str(year) + ' ' +str(now_time))
log_f.write('\n')
print(county, ' ', year)
RoadNetwortLable_by_each_road(year,county)
now_time = datetime.datetime.now()
log_f.write(county + ' ' +str(year) +' '+'RoadNetwortLable_by_each_road'+ ' '+str(now_time))
log_f.write('\n')
concat_all_label_image(year,county)
now_time = datetime.datetime.now()
log_f.write(county+ ' ' +str(year) +' '+'concat_all_label_image'+ ' '+str(now_time))
log_f.write('\n')
GT_post_processing(year,county)
now_time = datetime.datetime.now()
log_f.write(county+ ' ' +str(year) + ' '+'GT_post_processing'+ ' '+str(now_time))
log_f.write('\n')
transform_graph_main(year,county)
now_time = datetime.datetime.now()
log_f.write(county+ ' ' +str(year) + ' '+'transform_graph_main'+ ' '+str(now_time))
log_f.write('\n')
shp2txt_transform(year,county)
now_time = datetime.datetime.now()
log_f.write(county+' ' +str(year) +' '+'shp2txt_transform'+ ' '+str(now_time))
log_f.write('\n')
mapcompare('../temp_output/GraphSamplingToolkit-main',county, 'xyx', 'LCR', year)
now_time = datetime.datetime.now()
log_f.write(county+' ' +str(year) +' '+'mapcompare'+ ' '+str(now_time))
log_f.write('\n')
del_list = os.listdir('../temp_output/'+county+'_road_label_by_image_'+str(year)+'/')
for f in del_list:
file_path = os.path.join('../temp_output/'+county+'_road_label_by_image_'+str(year)+'/', f)
if os.path.isfile(file_path):
os.remove(file_path)
del_list = os.listdir('../temp_output/'+county+'_width3_'+str(year)+'/')
for f in del_list:
file_path = os.path.join('../temp_output/'+county+'_width3_'+str(year)+'/', f)
if os.path.isfile(file_path):
os.remove(file_path)
os.removedirs('../temp_output/'+county+'_road_label_by_image_'+str(year))
os.removedirs('../temp_output/'+county+'_width3_'+str(year))
# year_list1 = []
# county_list1 = []
# positive_pixel_list = []
# image_weight_list = []
# image_height_list = []
# for year in [2017,2021]:
# for county in ['debaoxian','zhuoluxian','shangyixian','songxian','sinanxian','tongjiangxian','lipingxian','mingshuixian','xijixian','congjiangxian']:
# img = Image.open('../temp_output/'+'topology_construction/'+county+'_GT_'+str(year)+'.png')
# img_np = np.array(img)
# pos_idx = np.where(img_np>0)
# year_list1.append(year)
# county_list1.append(county)
# positive_pixel_list.append(len(pos_idx[0]))
# image_weight_list.append(img_np.shape[0])
# image_height_list.append(img_np.shape[1])
# now_time = datetime.datetime.now()
# log_f.write(county + ' ' +str(year) +' '+'GT_statistics'+ ' '+str(now_time))
# log_f.write('\n')
# pd_statis = pd.DataFrame({'county':county_list1, 'year':year_list1,'pos_pixel':positive_pixel_list, \
# 'img_weight':image_weight_list,'img_height':image_height_list})
# pd_statis.to_csv('GT_statistics_last10cts.csv', index=False)
# df_all = pd.DataFrame({})
# for year in [2017,2021]:
# for county in ['debaoxian','zhuoluxian','shangyixian','songxian','sinanxian','tongjiangxian','lipingxian','mingshuixian','xijixian','congjiangxian']:
# df = pd.read_csv('../output/'+county+'_'+str(year)+'.csv')
# df_all = pd.concat([df_all, df])
# now_time = datetime.datetime.now()
# log_f.write(county + ' ' +str(year) +' '+'validation_statistics_all'+ ' '+str(now_time))
# log_f.write('\n')
# df_all.to_csv('validation_statistics_all_last_10cts.csv', index=False)
# with open("time_log_first10cts_OSM.txt","w") as log_f:
# for year in [2018,2022]:
# for county in ['debaoxian','zhuoluxian','shangyixian','songxian','sinanxian','tongjiangxian','lipingxian','mingshuixian','xijixian','congjiangxian']:
# mapcompare_OSM('../temp_output_OSM/GraphSamplingToolkit-main',county, 'xyx', 'LCR', year)
# # now_time = datetime.datetime.now()
# # log_f.write(county+' ' +str(year) +' '+'mapcompare'+ ' '+str(now_time))
# # log_f.write('\n')
# year_list1 = []
# county_list1 = []
# positive_pixel_list = []
# image_weight_list = []
# image_height_list = []
# # for year in [2017,2021]:
# # for county in ['shufuxian','xixiangxian','guanghexian','danfengxian','jiangzixian','honghexian','liboxian','linquanxian','jingyuxian','lingqiuxian']:
# # img = Image.open('../temp_output/'+'topology_construction/'+county+'_GT_'+str(year)+'.png')
# # img_np = np.array(img)
# # pos_idx = np.where(img_np>0)
# # year_list1.append(year)
# # county_list1.append(county)
# # positive_pixel_list.append(len(pos_idx[0]))
# # image_weight_list.append(img_np.shape[0])
# # image_height_list.append(img_np.shape[1])
# # now_time = datetime.datetime.now()
# # log_f.write(county + ' ' +str(year) +' '+'GT_statistics'+ ' '+str(now_time))
# # log_f.write('\n')
# # pd_statis = pd.DataFrame({'county':county_list1, 'year':year_list1,'pos_pixel':positive_pixel_list, \
# # 'img_weight':image_weight_list,'img_height':image_height_list})
# # pd_statis.to_csv('GT_statistics.csv', index=False)
# df_all = pd.DataFrame({})
# for year in [2018,2022]:
# for county in ['debaoxian','zhuoluxian','shangyixian','songxian','sinanxian','tongjiangxian','lipingxian','mingshuixian','xijixian','congjiangxian']:
# df = pd.read_csv('../output/'+county+'_'+str(year)+'_OSM.csv')
# df_all = pd.concat([df_all, df])
# now_time = datetime.datetime.now()
# log_f.write(county + ' ' +str(year) +' '+'validation_statistics_all_OSM'+ ' '+str(now_time))
# log_f.write('\n')
# df_all.to_csv('validation_statistics_all_last10cts_OSM.csv', index=False)
if __name__=="__main__":
main()