更新输入数据解压缩方法
parent
dcc953152b
commit
e96c4b336c
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@ -45,7 +45,7 @@
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<ParaType>File</ParaType>
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<ParaType>File</ParaType>
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<DataType>tar.gz</DataType>
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<DataType>tar.gz</DataType>
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<ParaSource>Cal</ParaSource>
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<ParaSource>Cal</ParaSource>
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<ParaValue>D:\BaiduNetdiskDownload\西北新增CSAR盐碱度\GF3C_KSC_QPSI_008440_E86.2_N44.1_20231113_L1A_AHV_L10000215823.tar.gz</ParaValue>
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<ParaValue>D:\BaiduNetdiskDownload\xibei\GF3C_KSC_QPSI_008440_E86.0_N44.7_20231113_L1A_AHV_L10000215825.tar.gz</ParaValue>
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<EnModification>True</EnModification>
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<EnModification>True</EnModification>
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<EnMultipleChoice>False</EnMultipleChoice>
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<EnMultipleChoice>False</EnMultipleChoice>
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<Control>File</Control>
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<Control>File</Control>
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@ -92,7 +92,7 @@
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<ParaType>File</ParaType>
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<ParaType>File</ParaType>
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<DataType>tar.gz</DataType>
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<DataType>tar.gz</DataType>
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<ParaSource>Cal</ParaSource>
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<ParaSource>Cal</ParaSource>
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<ParaValue>D:\micro\WorkSpace\Ortho\Output\GF3C_KSC_QPSI_008440_E86.2_N44.1_20231113_L1A_AHV_L10000215823-ortho.tar.gz</ParaValue>
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<ParaValue>D:\micro\WorkSpace\ortho\Output\GF3C_KSC_QPSI_008440_E86.0_N44.7_20231113_L1A_AHV_L10000215825-ortho.tar.gz</ParaValue>
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<MaxValue>DEFAULT</MaxValue>
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<MaxValue>DEFAULT</MaxValue>
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<MinValue>DEFAULT</MinValue>
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<MinValue>DEFAULT</MinValue>
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<OptionValue>DEFAULT</OptionValue>
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<OptionValue>DEFAULT</OptionValue>
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@ -44,6 +44,7 @@ import scipy.io as scipyio
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import copy
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import copy
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import scipy.sparse as ss
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import scipy.sparse as ss
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import shutil
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import shutil
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import sys
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import pandas
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import pandas
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import uuid
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import uuid
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from concurrent.futures._base import as_completed, wait
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from concurrent.futures._base import as_completed, wait
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@ -591,8 +592,6 @@ class RPCModel:
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x2 = apply_rfm(self.col_num, self.col_den, lat + EPS, lon, alt)
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x2 = apply_rfm(self.col_num, self.col_den, lat + EPS, lon, alt)
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y2 = apply_rfm(self.row_num, self.row_den, lat + EPS, lon, alt)
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y2 = apply_rfm(self.row_num, self.row_den, lat + EPS, lon, alt)
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n = 0
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n = 0
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while not np.all((x0 - col) ** 2 + (y0 - row) ** 2 < 1e-18):
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while not np.all((x0 - col) ** 2 + (y0 - row) ** 2 < 1e-18):
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@ -1058,6 +1057,35 @@ class DEMProcess(object):
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time.sleep(3)
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time.sleep(3)
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#gdal.CloseDir(out_DEM)
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#gdal.CloseDir(out_DEM)
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return out_DEM
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return out_DEM
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@staticmethod
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def image_merged(in_dem_path, out_dem_path):
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'''
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DEM重采样函数,默认坐标系为WGS84
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agrs:
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in_dem_path: 输入的DEM文件夹路径
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meta_file_path: 输入的xml元文件路径
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out_dem_path: 输出的DEM文件夹路径
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'''
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# 读取文件夹中所有的DEM
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dem_file_paths = [os.path.join(in_dem_path, dem_name) for dem_name in os.listdir(in_dem_path) if
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dem_name.find(".tif") >= 0 and dem_name.find(".tif.") == -1]
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spatialreference = osr.SpatialReference()
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spatialreference.SetWellKnownGeogCS("WGS84") # 设置地理坐标,单位为度 degree # 设置投影坐标,单位为度 degree
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spatialproj = spatialreference.ExportToWkt() # 导出投影结果
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# 将DEM拼接成一张大图
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mergeFile = gdal.BuildVRT(os.path.join(out_dem_path, "mergedDEM_VRT.tif"), dem_file_paths)
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out_DEM = os.path.join(out_dem_path, "mergedDEM.tif")
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gdal.Warp(out_DEM,
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mergeFile,
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format="GTiff",
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dstSRS=spatialproj,
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dstNodata=-9999,
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outputType=gdal.GDT_Byte)
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time.sleep(3)
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# gdal.CloseDir(out_DEM)
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return out_DEM
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@staticmethod
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@staticmethod
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def dem_resampled(in_dem_path,out_dem_path,samling_f):
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def dem_resampled(in_dem_path,out_dem_path,samling_f):
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in_dem=gdal.Open(in_dem_path,gdalconst.GA_ReadOnly)
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in_dem=gdal.Open(in_dem_path,gdalconst.GA_ReadOnly)
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@ -2990,3 +3018,8 @@ class IndirectOrthorectification(Orthorectification):
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return None
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return None
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pass
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pass
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'''
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'''
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if __name__ == '__main__':
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file_path = r'D:\BaiduNetdiskDownload\6133765_2020LC030\N37_65_2020LC030'
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out_path = r'D:\BaiduNetdiskDownload\6133765_2020LC030\out'
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DEMProcess.image_merged(file_path, out_path)
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@ -20,6 +20,7 @@ from tool.algorithm.xml.AlgXmlHandle import ManageAlgXML, CheckSource # 导入x
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from OrthoAlg import IndirectOrthorectification, DEMProcess,rpc_correction,getRCImageRC,get_RPC_lon_lat,getRCImageRC2
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from OrthoAlg import IndirectOrthorectification, DEMProcess,rpc_correction,getRCImageRC,get_RPC_lon_lat,getRCImageRC2
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from OrthoAlg import ScatteringAlg as alg
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from OrthoAlg import ScatteringAlg as alg
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from tool.algorithm.algtools.logHandler import LogHandler
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from tool.algorithm.algtools.logHandler import LogHandler
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from tool.config.ConfigeHandle import Config as cf
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import os
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import os
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import glob
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import glob
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# import gc
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# import gc
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@ -31,8 +32,13 @@ import scipy.spatial.transform # 用于解决打包错误
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import scipy.spatial.transform.rotation
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import scipy.spatial.transform.rotation
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import scipy.spatial.transform._rotation_groups # 用于解决打包错误
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import scipy.spatial.transform._rotation_groups # 用于解决打包错误
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DEBUG = False
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if cf.get('debug') == 'True':
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EXE_NAME = 'Ortho'
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DEBUG = True
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else:
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DEBUG = False
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EXE_NAME = cf.get('exe_name')
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productLevel = cf.get('productLEVEL')
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tager = '-' + cf.get('tager')
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#env_str = os.getcwd()
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#env_str = os.getcwd()
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env_str =os.path.dirname(os.path.abspath(sys.argv[0])) #os.path.split(os.path.realpath(__file__))[0]
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env_str =os.path.dirname(os.path.abspath(sys.argv[0])) #os.path.split(os.path.realpath(__file__))[0]
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os.environ['PROJ_LIB'] = env_str
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os.environ['PROJ_LIB'] = env_str
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@ -159,12 +165,12 @@ class OrthoMain:
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if CorrectMethod.get('CorrectMethod') == '1' or CorrectMethod.get('CorrectMethod') == 1:
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if CorrectMethod.get('CorrectMethod') == '1' or CorrectMethod.get('CorrectMethod') == 1:
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logger.info("CorrectMethod is RPC!")
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logger.info("CorrectMethod is RPC!")
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# self.__out_para=self.__out_para.replace(".tar.gz","_RPC.tar.gz")
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# self.__out_para=self.__out_para.replace(".tar.gz","_RPC.tar.gz")
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self.__out_para=self.__out_para.replace(".tar.gz","-ortho.tar.gz")
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self.__out_para=self.__out_para.replace(".tar.gz", tager + ".tar.gz")
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elif CorrectMethod.get('CorrectMethod') == '2' or CorrectMethod.get('CorrectMethod') == 2:
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elif CorrectMethod.get('CorrectMethod') == '2' or CorrectMethod.get('CorrectMethod') == 2:
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logger.info("CorrectMethod is RD!")
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logger.info("CorrectMethod is RD!")
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# self.__out_para=self.__out_para.replace(".tar.gz","_RD.tar.gz")
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# self.__out_para=self.__out_para.replace(".tar.gz","_RD.tar.gz")
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self.__out_para=self.__out_para.replace(".tar.gz","-ortho.tar.gz")
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self.__out_para=self.__out_para.replace(".tar.gz", tager + ".tar.gz")
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else:
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else:
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raise Exception('No CorrectMethod')
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raise Exception('No CorrectMethod')
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@ -304,11 +310,11 @@ class OrthoMain:
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if os.path.exists(dem_path) is False:
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if os.path.exists(dem_path) is False:
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os.mkdir(dem_path)
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os.mkdir(dem_path)
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for file_path in para_path_list:
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for file_path in para_path_list:
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BlockProcess.unzip_file(file_path, dem_path)
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BlockProcess.unzip_dem(file_path, dem_path)
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# tif_name = os.path.basename(file_path)
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# tif_name = os.path.basename(file_path)
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# shutil.copy(file_path, os.path.join(dem_path, tif_name))
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# shutil.copy(file_path, os.path.join(dem_path, tif_name))
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para_path = os.path.join(self.__workspace_origin_path,para['ParaName'])
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para_path = os.path.join(self.__workspace_origin_path,para['ParaName'])
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processing_paras.update({name: para_path})
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processing_paras.update({name: dem_path})
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elif para['ParaType'] == 'Value':
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elif para['ParaType'] == 'Value':
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if para['DataType'] == 'float':
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if para['DataType'] == 'float':
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value = float(para['ParaValue'])
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value = float(para['ParaValue'])
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@ -640,7 +646,8 @@ class OrthoMain:
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Orthorectification.calInterpolation_bil_Wgs84_rc_sar_sigma(parameter_path, dem_rc,
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Orthorectification.calInterpolation_bil_Wgs84_rc_sar_sigma(parameter_path, dem_rc,
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out_power_path,
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out_power_path,
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lin_tif_path)
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lin_tif_path)
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tempout_tif_path = os.path.join(self.__workspace_package_path, os.path.basename(lin_tif_path).split('-')[0] + "-ortho.tif")
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tempout_tif_path = os.path.join(self.__workspace_package_path, os.path.basename(lin_tif_path).split('-')[0]
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+ tager + '.tif')
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alg.lin_to_db(lin_tif_path, tempout_tif_path) # 线性值转回DB值
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alg.lin_to_db(lin_tif_path, tempout_tif_path) # 线性值转回DB值
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for tiff_name in os.listdir(self.__workspace_package_path):
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for tiff_name in os.listdir(self.__workspace_package_path):
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@ -678,6 +685,7 @@ class OrthoMain:
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para_dict.update({"ObservationGeometry_SatelliteAzimuth": Azimuth_incidence})
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para_dict.update({"ObservationGeometry_SatelliteAzimuth": Azimuth_incidence})
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para_dict.update({"imageinfo_ProductName": '正射校正'})
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para_dict.update({"imageinfo_ProductName": '正射校正'})
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para_dict.update({"imageinfo_ProductIdentifier": 'Ortho'})
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para_dict.update({"imageinfo_ProductIdentifier": 'Ortho'})
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para_dict.update({"imageinfo_ProductLevel": productLevel})
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para_dict.update({"ProductProductionInfo_BandSelection": "1,2"})
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para_dict.update({"ProductProductionInfo_BandSelection": "1,2"})
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para_dict.update({"ProductProductionInfo_AuxiliaryDataDescription": "DEM"})
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para_dict.update({"ProductProductionInfo_AuxiliaryDataDescription": "DEM"})
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CreateProductXml(para_dict, model_path, meta_xml_path).create_standard_xml()
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CreateProductXml(para_dict, model_path, meta_xml_path).create_standard_xml()
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if __name__ == '__main__':
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if __name__ == '__main__':
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DEBUG=False
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if '-DEBUG' in sys.argv:
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DEBUG=True
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start = datetime.datetime.now()
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start = datetime.datetime.now()
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try:
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try:
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if len(sys.argv) < 2:
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if len(sys.argv) < 2:
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@ -0,0 +1,11 @@
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# -*- coding: UTF-8 -*-
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# 定义config分组
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[config]
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######1-算法基本参数######
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tager = ortho
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productLEVEL = 3
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# 算法名称。修改临时工作区生成临时文件的名称,日志名称;
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exe_name = ortho
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# 开启调试模式则不删除临时工作区,True:开启调试,False:不开启调试
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debug = False
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@ -192,7 +192,7 @@ class AtmosphericMain:
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if os.path.exists(dem_path) is False:
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if os.path.exists(dem_path) is False:
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os.mkdir(dem_path)
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os.mkdir(dem_path)
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for file_path in para_path_list:
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for file_path in para_path_list:
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BlockProcess.unzip_file(file_path, dem_path)
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BlockProcess.unzip_dem(file_path, dem_path)
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# tif_name = os.path.basename(temp_file_path)
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# tif_name = os.path.basename(temp_file_path)
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# shutil.copy(file_path, os.path.join(dem_path, tif_name))
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# shutil.copy(file_path, os.path.join(dem_path, tif_name))
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para_path = os.path.join(self.__workspace_origin_path, para['ParaName'])
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para_path = os.path.join(self.__workspace_origin_path, para['ParaName'])
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@ -1008,7 +1008,7 @@ class DEMProcess(object):
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out_dem_path: 输出的DEM文件夹路径
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out_dem_path: 输出的DEM文件夹路径
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'''
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'''
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# 读取文件夹中所有的DEM
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# 读取文件夹中所有的DEM
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dem_file_paths=[os.path.join(in_dem_path,dem_name) for dem_name in os.listdir(in_dem_path) if dem_name.find(".tif")>=0 and dem_name.find(".tif.")==-1]
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dem_file_paths=[os.path.join(in_dem_path,dem_name) for dem_name in os.listdir(in_dem_path) if dem_name.find(".tif")>=0 and dem_name.find(".tif.")==-1]
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spatialreference=osr.SpatialReference()
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spatialreference=osr.SpatialReference()
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spatialreference.SetWellKnownGeogCS("WGS84") # 设置地理坐标,单位为度 degree # 设置投影坐标,单位为度 degree
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spatialreference.SetWellKnownGeogCS("WGS84") # 设置地理坐标,单位为度 degree # 设置投影坐标,单位为度 degree
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spatialproj=spatialreference.ExportToWkt() # 导出投影结果
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spatialproj=spatialreference.ExportToWkt() # 导出投影结果
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DEBUG = True
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DEBUG = True
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else:
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else:
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DEBUG = False
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DEBUG = False
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EXE_NAME = 'BackScattering'
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EXE_NAME = cf.get('exe_name')
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tager = cf.get('tager')
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tager = r'-' + cf.get('tager')
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productLevel = cf.get('productLEVEL')
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LogHandler.init_log_handler('run_log\\' + EXE_NAME)
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LogHandler.init_log_handler('run_log\\' + EXE_NAME)
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logger = logging.getLogger("mylog")
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logger = logging.getLogger("mylog")
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# env_str = os.path.split(os.path.realpath(__file__))[0]
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# env_str = os.path.split(os.path.realpath(__file__))[0]
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@ -495,7 +496,7 @@ class ScatteringMain:
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para_dict.update({"ObservationGeometry_SatelliteAzimuth": Azimuth_incidence})
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para_dict.update({"ObservationGeometry_SatelliteAzimuth": Azimuth_incidence})
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para_dict.update({"imageinfo_ProductName": "后向散射系数"})
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para_dict.update({"imageinfo_ProductName": "后向散射系数"})
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para_dict.update({"imageinfo_ProductIdentifier": "BackScattering"})
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para_dict.update({"imageinfo_ProductIdentifier": "BackScattering"})
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para_dict.update({"imageinfo_ProductLevel": "3"})
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para_dict.update({"imageinfo_ProductLevel": productLevel})
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para_dict.update({"ProductProductionInfo_BandSelection": "1,2"})
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para_dict.update({"ProductProductionInfo_BandSelection": "1,2"})
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para_dict.update({"ProductProductionInfo_AuxiliaryDataDescription": "DEM"})
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para_dict.update({"ProductProductionInfo_AuxiliaryDataDescription": "DEM"})
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para_dict.update({"MetaInfo_UnitDes": "DB"}) # 设置单位
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para_dict.update({"MetaInfo_UnitDes": "DB"}) # 设置单位
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# 定义config分组
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# 定义config分组
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[config]
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[config]
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######1-算法基本参数######
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######1-算法基本参数######
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tager = -cal
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tager = cal
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productLEVEL = 3
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# 算法名称。修改临时工作区生成临时文件的名称,日志名称;
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# 算法名称。修改临时工作区生成临时文件的名称,日志名称;
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exe_name = SoilMoisture
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exe_name = BackScattering
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# 开启调试模式则不删除临时工作区,True:开启调试,False:不开启调试
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# 开启调试模式则不删除临时工作区,True:开启调试,False:不开启调试
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debug = False
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debug = False
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@ -148,7 +148,7 @@ class DeformationMain:
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if os.path.exists(dem_path) is False:
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if os.path.exists(dem_path) is False:
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os.mkdir(dem_path)
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os.mkdir(dem_path)
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for file_path in para_path_list:
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for file_path in para_path_list:
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BlockProcess.unzip_file(file_path, dem_path)
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BlockProcess.unzip_dem(file_path, dem_path)
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# tif_name = os.path.basename(file_path)
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# tif_name = os.path.basename(file_path)
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# shutil.copy(file_path, os.path.join(dem_path, tif_name))
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# shutil.copy(file_path, os.path.join(dem_path, tif_name))
|
||||||
para_path = os.path.join(self.__workspace_origin_path, para['ParaName'])
|
para_path = os.path.join(self.__workspace_origin_path, para['ParaName'])
|
||||||
|
|
|
@ -149,7 +149,7 @@ class DemMain:
|
||||||
if os.path.exists(dem_path) is False:
|
if os.path.exists(dem_path) is False:
|
||||||
os.mkdir(dem_path)
|
os.mkdir(dem_path)
|
||||||
for file_path in para_path_list:
|
for file_path in para_path_list:
|
||||||
BlockProcess.unzip_file(file_path, dem_path)
|
BlockProcess.unzip_dem(file_path, dem_path)
|
||||||
# tif_name = os.path.basename(file_path)
|
# tif_name = os.path.basename(file_path)
|
||||||
# shutil.copy(file_path, os.path.join(dem_path, tif_name))
|
# shutil.copy(file_path, os.path.join(dem_path, tif_name))
|
||||||
para_path = os.path.join(self.__workspace_origin_path, para['ParaName'])
|
para_path = os.path.join(self.__workspace_origin_path, para['ParaName'])
|
||||||
|
|
|
@ -39,7 +39,7 @@
|
||||||
<DataType>tar.gz</DataType>
|
<DataType>tar.gz</DataType>
|
||||||
<ParaSource>Man</ParaSource>
|
<ParaSource>Man</ParaSource>
|
||||||
<ParaValue>
|
<ParaValue>
|
||||||
E:\2023xibei\GF3C_KSC_QPSI_008440_E86.0_N44.7_20231113_L1A_AHV_L10000215825-ortho.tar.gz
|
D:\micro\WorkSpace\Ortho\Output\GF3C_KSC_QPSI_008440_E86.0_N44.7_20231113_L1A_AHV_L10000215825-ortho.tar.gz
|
||||||
</ParaValue>
|
</ParaValue>
|
||||||
<MaxValue>DEFAULT</MaxValue>
|
<MaxValue>DEFAULT</MaxValue>
|
||||||
<MinValue>DEFAULT</MinValue>
|
<MinValue>DEFAULT</MinValue>
|
||||||
|
@ -68,7 +68,7 @@
|
||||||
<ParaType>File</ParaType>
|
<ParaType>File</ParaType>
|
||||||
<DataType>csv</DataType>
|
<DataType>csv</DataType>
|
||||||
<ParaSource>Man</ParaSource>
|
<ParaSource>Man</ParaSource>
|
||||||
<ParaValue>E:\2023xibei\soilSality.csv</ParaValue>
|
<ParaValue>D:\BaiduNetdiskDownload\soilsalinity.csv</ParaValue>
|
||||||
<MaxValue>DEFAULT</MaxValue>
|
<MaxValue>DEFAULT</MaxValue>
|
||||||
<MinValue>DEFAULT</MinValue>
|
<MinValue>DEFAULT</MinValue>
|
||||||
<OptionValue>DEFAULT</OptionValue>
|
<OptionValue>DEFAULT</OptionValue>
|
||||||
|
|
|
@ -231,39 +231,34 @@ class SalinityMain:
|
||||||
pls = PLSRegression()
|
pls = PLSRegression()
|
||||||
pls.fit(X_train_in, Y_train_in)
|
pls.fit(X_train_in, Y_train_in)
|
||||||
PLSRegression(copy=True, max_iter=1000, n_components=5, scale=True, tol=1e-06)
|
PLSRegression(copy=True, max_iter=1000, n_components=5, scale=True, tol=1e-06)
|
||||||
|
#
|
||||||
print("---- Train --------------------------------------------")
|
# print("---- Train --------------------------------------------")
|
||||||
Y_train_pred_in = pls.predict(X_train_in)
|
# Y_train_pred_in = pls.predict(X_train_in)
|
||||||
print('Y_train_pred-----------------------------------------')
|
# print('Y_train_pred-----------------------------------------')
|
||||||
print(Y_train_pred_in.reshape(-1))
|
# print(Y_train_pred_in.reshape(-1))
|
||||||
print('Y_train_pred-----------------------------------------')
|
# print('Y_train_pred-----------------------------------------')
|
||||||
|
#
|
||||||
print('Y_train----------------------------------------------')
|
# print('Y_train----------------------------------------------')
|
||||||
print(Y_train_in.reshape(-1))
|
# print(Y_train_in.reshape(-1))
|
||||||
print('Y_train----------------------------------------------')
|
# print('Y_train----------------------------------------------')
|
||||||
slope, intercept, r_value, p_value, std_err = linregress(Y_train_pred_in.reshape(-1), Y_train_in.reshape(-1))
|
# slope, intercept, r_value, p_value, std_err = linregress(Y_train_pred_in.reshape(-1), Y_train_in.reshape(-1))
|
||||||
R2 = r_value ** 2
|
# R2 = r_value ** 2
|
||||||
print("训练 使用scipy库:a:", slope, "b:", intercept, "r:", r_value, "r-squared:", R2)
|
# print("训练 使用scipy库:a:", slope, "b:", intercept, "r:", r_value, "r-squared:", R2)
|
||||||
print("-----------------------------------------------------")
|
# print("-----------------------------------------------------")
|
||||||
|
#
|
||||||
print("---- Test --------------------------------------------")
|
# print("---- Test --------------------------------------------")
|
||||||
Y_train_pred_out = pls.predict(X_train_out)
|
# Y_train_pred_out = pls.predict(X_train_out)
|
||||||
print('Y_train_pred-----------------------------------------')
|
# print('Y_train_pred-----------------------------------------')
|
||||||
print(Y_train_pred_out.reshape(-1))
|
# print(Y_train_pred_out.reshape(-1))
|
||||||
print('Y_train_pred-----------------------------------------')
|
# print('Y_train_pred-----------------------------------------')
|
||||||
|
#
|
||||||
print('Y_train----------------------------------------------')
|
# print('Y_train----------------------------------------------')
|
||||||
print(Y_train_out.reshape(-1))
|
# print(Y_train_out.reshape(-1))
|
||||||
print('Y_train----------------------------------------------')
|
# print('Y_train----------------------------------------------')
|
||||||
slope, intercept, r_value, p_value, std_err = linregress(Y_train_pred_out.reshape(-1), Y_train_out.reshape(-1))
|
# slope, intercept, r_value, p_value, std_err = linregress(Y_train_pred_out.reshape(-1), Y_train_out.reshape(-1))
|
||||||
R2 = r_value ** 2
|
# R2 = r_value ** 2
|
||||||
print("测试 使用scipy库:a:", slope, "b:", intercept, "r:", r_value, "r-squared:", R2)
|
# print("测试 使用scipy库:a:", slope, "b:", intercept, "r:", r_value, "r-squared:", R2)
|
||||||
print("-----------------------------------------------------")
|
# print("-----------------------------------------------------")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
SrcImageName = os.path.split(self.__input_paras["AHV"]['ParaValue'])[1].split('.tar.gz')[0]
|
SrcImageName = os.path.split(self.__input_paras["AHV"]['ParaValue'])[1].split('.tar.gz')[0]
|
||||||
model_path = os.path.join(self.__product_dic, SrcImageName + tar + '.pkl')
|
model_path = os.path.join(self.__product_dic, SrcImageName + tar + '.pkl')
|
||||||
|
|
|
@ -70,33 +70,31 @@ class BlockProcess:
|
||||||
def unzip_file(zip_file_path, out_path): # ):
|
def unzip_file(zip_file_path, out_path): # ):
|
||||||
# 获取压缩文件所在的目录
|
# 获取压缩文件所在的目录
|
||||||
# extract_folder = os.path.dirname(zip_file_path)
|
# extract_folder = os.path.dirname(zip_file_path)
|
||||||
if zip_file_path.endswith("dem.zip"):
|
|
||||||
out_path_merg = os.path.join(out_path)
|
|
||||||
# os.mkdir(out_path_merg)
|
|
||||||
|
|
||||||
para_value_list = zip_file_path.split(";")
|
basename = os.path.splitext(os.path.basename(zip_file_path))[0]
|
||||||
for n in para_value_list:
|
extract_folder = os.path.join(out_path, basename)
|
||||||
with zipfile.ZipFile(n, 'r') as zip_ref:
|
|
||||||
# 解压到和压缩文件同名的文件夹中
|
|
||||||
zip_ref.extractall(out_path_merg)
|
|
||||||
|
|
||||||
return out_path
|
with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
|
||||||
|
# 解压到和压缩文件同名的文件夹中
|
||||||
|
zip_ref.extractall(extract_folder)
|
||||||
|
|
||||||
else:
|
files = list(glob.glob(os.path.join(extract_folder, '*')))
|
||||||
basename = os.path.splitext(os.path.basename(zip_file_path))[0]
|
for file in files:
|
||||||
extract_folder = os.path.join(out_path, basename)
|
if basename in os.path.basename(file):
|
||||||
|
if not file.endswith(".xml"):
|
||||||
|
unzipped_folder_path = file
|
||||||
|
|
||||||
with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
|
return unzipped_folder_path
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def unzip_dem(zip_file_path, out_path):
|
||||||
|
para_value_list = zip_file_path.split(";")
|
||||||
|
for n in para_value_list:
|
||||||
|
with zipfile.ZipFile(n, 'r') as zip_ref:
|
||||||
# 解压到和压缩文件同名的文件夹中
|
# 解压到和压缩文件同名的文件夹中
|
||||||
zip_ref.extractall(extract_folder)
|
zip_ref.extractall(out_path)
|
||||||
|
|
||||||
files = list(glob.glob(os.path.join(extract_folder, '*')))
|
return out_path
|
||||||
for file in files:
|
|
||||||
if basename in os.path.basename(file):
|
|
||||||
if not file.endswith(".xml"):
|
|
||||||
unzipped_folder_path = file
|
|
||||||
|
|
||||||
return unzipped_folder_path
|
|
||||||
|
|
||||||
@staticmethod
|
@staticmethod
|
||||||
def get_same_img(img_dir, img_name):
|
def get_same_img(img_dir, img_name):
|
||||||
|
|
Loading…
Reference in New Issue