main2_last10cts_sup2.py

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 *
from mapcompare_d500_last 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
import time

def main():
    print("Hello World")
    #test()

#############################
    for year in [2017]:
        for county in ['debaoxian','zhuoluxian','shangyixian','songxian','sinanxian','tongjiangxian','lipingxian','mingshuixian','xijixian','congjiangxian']:

            if year == 2017 and county == 'debaoxian':
                continue

            mapcompare_d500('../temp_output_d500/GraphSamplingToolkit-main',county, 'xyx', 'LCR', year)

    var1 = int(os.path.exists('../output/congjiangxian_'+str(2021)+'_d500.csv'))

    while var1!=1:
        time.sleep(600)
        var1 = int(os.path.exists('../output/congjiangxian_'+str(2021)+'_d500.csv'))

        if var1==1:
            break

    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)+'_d500.csv')
            df_all = pd.concat([df_all, df])

    df_all.to_csv('validation_statistics_all_last_10cts_d500.csv', index=False)




if __name__=="__main__":
    main()