后向散射系数增加处理DH极化数据
tian jiax
parent
b94755f574
commit
040d228ca6
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@ -1,7 +1,7 @@
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<?xml version='1.0' encoding='utf-8'?>
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<Root>
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<TaskID>CSAR_202107275419_0001-0</TaskID>
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<WorkSpace>F:\C-SAR\</WorkSpace>
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<WorkSpace>D:\micro\WorkSpace\</WorkSpace>
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<AlgCompt>
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<DataTransModel>File</DataTransModel>
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<Artificial>ElementAlg</Artificial>
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@ -45,7 +45,7 @@
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<ParaType>File</ParaType>
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<DataType>tar.gz</DataType>
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<ParaSource>Cal</ParaSource>
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<ParaValue>F:\C-SAR\GF3C_MYC_FSI_005874_E100.0_N26.5_20230519_L1A_HHHV_L10000148115.tar.gz</ParaValue>
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<ParaValue>E:\2023xibei\GF3B_KSC_QPSI_010364_E86.0_N44.9_20231112_L1A_AHV_L10000263358.tar.gz</ParaValue>
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<EnModification>True</EnModification>
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<EnMultipleChoice>False</EnMultipleChoice>
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<Control>File</Control>
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@ -60,7 +60,7 @@
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<ParaType>File</ParaType>
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<DataType>File</DataType>
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<ParaSource>Cal</ParaSource>
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<ParaValue>F:\C-SAR\ns_dem</ParaValue>
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<ParaValue>E:\2023xibei\dem</ParaValue>
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<EnModification>True</EnModification>
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<EnMultipleChoice>True</EnMultipleChoice>
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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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<DataType>tar.gz</DataType>
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<ParaSource>Cal</ParaSource>
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<ParaValue>F:\C-SAR\Ortho\Output\GF3C_MYC_FSI_005874_E100.0_N26.5_20230519_L1A_HHHV_L10000148115-ortho.tar.gz</ParaValue>
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<ParaValue>D:\micro\WorkSpace\Ortho\Output\GF3B_KSC_QPSI_010364_E86.0_N44.9_20231112_L1A_AHV_L10000263358-ortho.tar.gz</ParaValue>
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<MaxValue>DEFAULT</MaxValue>
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<MinValue>DEFAULT</MinValue>
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<OptionValue>DEFAULT</OptionValue>
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@ -86,6 +86,8 @@ class ScatteringAlg:
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polarization = 'VV'
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if replece_VV:
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polarization = 'HV' #土壤水分算法中可能会用HV替换VV
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elif 'DH' in os.path.basename(in_sar_tif):
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polarization = 'HH'
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else:
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raise Exception ('there are not HH、HV、VH、VV in path:',in_sar_tif)
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@ -15,7 +15,8 @@ from tool.algorithm.xml.AlgXmlHandle import ManageAlgXML, CheckSource
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from tool.algorithm.xml.CreateMetaDict import CreateMetaDict, CreateProductXml, OrthoAzimuth
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from tool.algorithm.image.ImageHandle import ImageHandler
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from tool.algorithm.algtools.PreProcess import PreProcess as pp
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from BackScatteringAlg import IndirectOrthorectification, DEMProcess,rpc_correction,getRCImageRC,get_RPC_lon_lat,getRCImageRC2
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from BackScatteringAlg import IndirectOrthorectification, DEMProcess, rpc_correction, getRCImageRC, get_RPC_lon_lat, \
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getRCImageRC2
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from BackScatteringAlg import ScatteringAlg as alg
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from tool.config.ConfigeHandle import Config as cf
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import os
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@ -25,7 +26,6 @@ import shutil
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import tarfile
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import sys
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if cf.get('debug') == 'True':
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DEBUG = True
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else:
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@ -35,13 +35,15 @@ tager = cf.get('tager')
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LogHandler.init_log_handler('run_log\\' + EXE_NAME)
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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.dirname(os.path.abspath(sys.argv[0]))
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env_str = os.path.dirname(os.path.abspath(sys.argv[0]))
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os.environ['PROJ_LIB'] = env_str
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class ScatteringMain:
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"""
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后向散射系数主函数
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"""
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def __init__(self, alg_xml_path):
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self.alg_xml_path = alg_xml_path
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self.imageHandler = ImageHandler()
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@ -71,7 +73,7 @@ class ScatteringMain:
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if self.__check_handler.check_run_env() is False:
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return False
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input_para_names = ["SLC","DEM"]
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input_para_names = ["SLC", "DEM"]
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if self.__check_handler.check_input_paras(input_para_names) is False:
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return False
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@ -79,7 +81,8 @@ class ScatteringMain:
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self.__create_work_space()
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self.__task_id = self.__alg_xml_handler.get_task_id()
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self.__input_paras = self.__alg_xml_handler.get_input_paras()
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self.__in_processing_paras = self.__init_processing_paras(self.__input_paras, self.__workspace_preprocessing_path)
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self.__in_processing_paras = self.__init_processing_paras(self.__input_paras,
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self.__workspace_preprocessing_path)
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SrcImageName = os.path.split(self.__input_paras["SLC"]['ParaValue'])[1].split('.tar.gz')[0]
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AlgorithmName = self.__alg_xml_handler.get_algorithm_name()
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TaskId = self.__alg_xml_handler.get_task_id()
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@ -93,7 +96,7 @@ class ScatteringMain:
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logger.info('progress bar: 30%')
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return True
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def __init_processing_paras(self, names,out_path):
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def __init_processing_paras(self, names, out_path):
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"""
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:param names:字典列表，每个字典为一个输入产品的配置信息
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"""
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@ -191,9 +194,12 @@ class ScatteringMain:
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"""
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删除原有工作区文件夹,创建新工作区文件夹
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"""
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self.__workspace_preprocessing_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary", "preprocessing") # self.__workspace_path + EXE_NAME + r"\Temporary\preprocessing""\\"
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self.__workspace_preprocessed_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary", "preprocessed") # self.__workspace_path + EXE_NAME + r"\Temporary\preprocessed""\\"
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self.__workspace_processing_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary","processing\\") #self.__workspace_path + EXE_NAME + r"\Temporary\processing""\\"
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self.__workspace_preprocessing_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary",
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"preprocessing") # self.__workspace_path + EXE_NAME + r"\Temporary\preprocessing""\\"
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self.__workspace_preprocessed_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary",
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"preprocessed") # self.__workspace_path + EXE_NAME + r"\Temporary\preprocessed""\\"
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self.__workspace_processing_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary",
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"processing\\") # self.__workspace_path + EXE_NAME + r"\Temporary\processing""\\"
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self.__workspace_origin_path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary", "origin")
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path_list = [self.__workspace_preprocessing_path, self.__workspace_preprocessed_path,
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self.__workspace_processing_path, self.__workspace_origin_path]
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@ -220,6 +226,7 @@ class ScatteringMain:
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os.remove(file_data)
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else:
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self.del_file(file_data)
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@staticmethod
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def del_floder(dic):
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"""
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@ -250,7 +257,8 @@ class ScatteringMain:
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"""
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if DEBUG is True:
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return
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path = os.path.join(self.__workspace_path, EXE_NAME, "Temporary") # self.__workspace_path + EXE_NAME + r"\Temporary"
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path = os.path.join(self.__workspace_path, EXE_NAME,
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"Temporary") # self.__workspace_path + EXE_NAME + r"\Temporary"
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if os.path.exists(path):
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self.del_floder(path)
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@ -269,7 +277,7 @@ class ScatteringMain:
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pp().cut_img(sim_ori_process, sim_ori, shp_path)
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return sim_ori_process
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def process_handle(self,start):
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def process_handle(self, start):
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in_tif_paths = list(glob.glob(os.path.join(self.__in_processing_paras['SLC'], '*.tif')))
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if in_tif_paths == []:
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in_tif_paths = list(glob.glob(os.path.join(self.__in_processing_paras['SLC'], '*.tiff')))
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@ -284,11 +292,11 @@ class ScatteringMain:
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vh_flag = 1
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elif 'VV' in os.path.basename(in_tif_path):
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vv_flag = 1
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self.processinfo=[hh_flag, hv_flag, vh_flag, vv_flag]
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self.processinfo = [hh_flag, hv_flag, vh_flag, vv_flag]
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ref_tif_path = ""
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meta_file_path = self.__in_processing_paras['META']
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rpc_path=None
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rpc_path = None
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#######################
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# RD
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@ -296,28 +304,32 @@ class ScatteringMain:
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# 2.2 生成局地入射角
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path2 = env_str
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print("path2:" + path2)
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Orthorectification = IndirectOrthorectification(os.path.join(path2,"config.yaml"))
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Orthorectification.IndirectOrthorectification(self.__in_processing_paras["SLC"], self.__workspace_processing_path) # 改动1
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Orthorectification = IndirectOrthorectification(os.path.join(path2, "config.yaml"))
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Orthorectification.IndirectOrthorectification(self.__in_processing_paras["SLC"],
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self.__workspace_processing_path) # 改动1
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# 2.3 输出结果
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# 3 处理RD
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# 合并DEM
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Orth_Slc=[]
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Orth_Slc = []
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in_dem_path = self.__in_processing_paras['DEM']
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meta_file_path = self.__in_processing_paras['META'] # .meta文件路径
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out_dem_path = self.__workspace_preprocessing_path
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# unzipped_folder_path = DEMProcess.unzip_file(in_dem_path, self.__workspace_origin_path) # 解压DEM.zip
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dem_merged_path=DEMProcess.dem_merged(in_dem_path, meta_file_path, out_dem_path) # 生成TestDEM\mergedDEM_VRT.tif
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dem_merged_path = DEMProcess.dem_merged(in_dem_path, meta_file_path,
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out_dem_path) # 生成TestDEM\mergedDEM_VRT.tif
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in_slc_path=None
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in_slc_path = None
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for slc_path in in_tif_paths:
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if slc_path.find(".tiff")>0 and (slc_path.find("_HH_")>0 or slc_path.find("_VV_")>0):
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in_slc_path=slc_path
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if slc_path.find(".tiff") > 0 and (
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slc_path.find("_HH_") > 0 or slc_path.find("_VV_") > 0 or slc_path.find("_DH_") > 0):
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in_slc_path = slc_path
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break
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# 获取校正模型后
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Orthorectification.preCaldem_sar_rc(dem_merged_path,in_slc_path,self.__workspace_preprocessing_path,self.__workspace_processing_path.replace("\\","\\\\")) # 初步筛选坐标范围
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Orthorectification.preCaldem_sar_rc(dem_merged_path, in_slc_path, self.__workspace_preprocessing_path,
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self.__workspace_processing_path.replace("\\", "\\\\")) # 初步筛选坐标范围
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logger.info('progress bar: 40%')
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# clip_dem_reample_path=os.path.join(self.__workspace_preprocessing_path, "SAR_dem.tiff")
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# infooption=gdal.InfoOptions("-json")
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@ -325,20 +337,22 @@ class ScatteringMain:
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# dem_merged_info=gdal.Info(dem_merged_path,options=infooption)
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# sampling_f=clip_dem_tif_info['size'][0]/dem_merged_info['size'][0]
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# 处理RD 的结果
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out_dir_path=self.__workspace_processing_path.replace("\\","\\\\")
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out_dir_path = self.__workspace_processing_path.replace("\\", "\\\\")
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this_outSpace_path = out_dir_path
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this_out_dem_slantRange_path = os.path.join(out_dir_path, "dem_slantRange.tiff") # out_dir_path + "\\" + "dem_slantRange.tiff"#// 地形斜距
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this_out_plant_slantRange_path = os.path.join(out_dir_path, "flat_slantRange.tiff") # out_dir_path + "\\" + "flat_slantRange.tiff"#// 平地斜距
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this_out_dem_slantRange_path = os.path.join(out_dir_path,
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"dem_slantRange.tiff") # out_dir_path + "\\" + "dem_slantRange.tiff"#// 地形斜距
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this_out_plant_slantRange_path = os.path.join(out_dir_path,
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"flat_slantRange.tiff") # out_dir_path + "\\" + "flat_slantRange.tiff"#// 平地斜距
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# 保留结果
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if(os.path.exists(this_out_dem_slantRange_path)):
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if (os.path.exists(this_out_dem_slantRange_path)):
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os.remove(this_out_dem_slantRange_path)
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if(os.path.exists(this_out_plant_slantRange_path)):
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if (os.path.exists(this_out_plant_slantRange_path)):
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os.remove(this_out_plant_slantRange_path)
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this_out_dem_rc_path = os.path.join(out_dir_path, "WGS_SAR_map.tiff") # out_dir_path + "\\" + "WGS_SAR_map.tiff"#// 经纬度与行列号映射
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if(os.path.exists(this_out_dem_rc_path)):
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this_out_dem_rc_path = os.path.join(out_dir_path,
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"WGS_SAR_map.tiff") # out_dir_path + "\\" + "WGS_SAR_map.tiff"#// 经纬度与行列号映射
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if (os.path.exists(this_out_dem_rc_path)):
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os.remove(this_out_dem_rc_path)
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this_out_sar_sim_path = out_dir_path + "\\" + "sar_sim.tiff"
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@ -349,21 +363,28 @@ class ScatteringMain:
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if (os.path.exists(this_out_sar_sim_wgs_path)):
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os.remove(this_out_sar_sim_wgs_path)
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this_out_incidence_path = os.path.join(out_dir_path, "incidentAngle.tiff") # out_dir_path + "\\" + "incidentAngle.tiff"#// 入射角
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this_out_localIncidenct_path = os.path.join(out_dir_path, "localIncidentAngle.tiff") # out_dir_path + "\\" + "localIncidentAngle.tiff"#// 局地入射角
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if(os.path.exists(this_out_incidence_path)):
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shutil.move(this_out_incidence_path,os.path.join(out_dir_path, "inc_angle.tif")) # out_dir_path + "\\" + "inc_angle.tif")
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if(os.path.exists(this_out_localIncidenct_path)):
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shutil.move(this_out_localIncidenct_path, os.path.join(out_dir_path, "LocalIncidenceAngle.tif")) # out_dir_path + "\\" + "LocalIncidenceAngle.tif")
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this_out_incidence_path = os.path.join(out_dir_path,
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"incidentAngle.tiff") # out_dir_path + "\\" + "incidentAngle.tiff"#// 入射角
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this_out_localIncidenct_path = os.path.join(out_dir_path,
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"localIncidentAngle.tiff") # out_dir_path + "\\" + "localIncidentAngle.tiff"#// 局地入射角
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if (os.path.exists(this_out_incidence_path)):
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shutil.move(this_out_incidence_path,
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os.path.join(out_dir_path, "inc_angle.tif")) # out_dir_path + "\\" + "inc_angle.tif")
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if (os.path.exists(this_out_localIncidenct_path)):
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shutil.move(this_out_localIncidenct_path, os.path.join(out_dir_path,
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"LocalIncidenceAngle.tif")) # out_dir_path + "\\" + "LocalIncidenceAngle.tif")
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this_out_inc_angle_rpc_path = os.path.join(out_dir_path, "RD_incidentAngle.tiff") # out_dir_path + "\\" + "RD_incidentAngle.tiff"#// 局地入射角
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this_out_local_inc_angle_rpc_path = os.path.join(out_dir_path, "RD_localIncidentAngle.tiff") # out_dir_path + "\\" + "RD_localIncidentAngle.tiff"#// 局地入射角
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if(os.path.exists(this_out_inc_angle_rpc_path)):
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this_out_inc_angle_rpc_path = os.path.join(out_dir_path,
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"RD_incidentAngle.tiff") # out_dir_path + "\\" + "RD_incidentAngle.tiff"#// 局地入射角
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this_out_local_inc_angle_rpc_path = os.path.join(out_dir_path,
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"RD_localIncidentAngle.tiff") # out_dir_path + "\\" + "RD_localIncidentAngle.tiff"#// 局地入射角
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if (os.path.exists(this_out_inc_angle_rpc_path)):
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os.remove(this_out_inc_angle_rpc_path)
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if(os.path.exists(this_out_local_inc_angle_rpc_path)):
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if (os.path.exists(this_out_local_inc_angle_rpc_path)):
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os.remove(this_out_local_inc_angle_rpc_path)
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this_out_ori_sim_tiff = os.path.join(out_dir_path, "RD_ori_sim.tif") # out_dir_path + "\\" + "RD_ori_sim.tif"#// 局地入射角
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this_out_ori_sim_tiff = os.path.join(out_dir_path,
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"RD_ori_sim.tif") # out_dir_path + "\\" + "RD_ori_sim.tif"#// 局地入射角
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this_in_rpc_lon_lat_path = this_out_ori_sim_tiff
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this_out_sim_ori_tiff = os.path.join(out_dir_path, "RD_sim_ori.tif")
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@ -373,15 +394,18 @@ class ScatteringMain:
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parameter_path = os.path.join(self.__workspace_processing_path, "orth_para.txt")
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for in_tif_path in in_tif_paths:
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# out_tif_path = os.path.join(self.__workspace_preprocessing_path,os.path.splitext(os.path.basename(in_tif_path))[0]) + r"_lin.tif"
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out_tif_path = os.path.join(self.__workspace_preprocessing_path,os.path.splitext(os.path.basename(in_tif_path))[0]) + r"_lin.tif"
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if ('HH' in os.path.basename(in_tif_path)) or ('HV' in os.path.basename(in_tif_path)) or ('VH' in os.path.basename(in_tif_path)) or ('VV' in os.path.basename(in_tif_path)):
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out_tif_path = os.path.join(self.__workspace_preprocessing_path,
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os.path.splitext(os.path.basename(in_tif_path))[0]) + r"_lin.tif"
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if ('HH' in os.path.basename(in_tif_path)) or ('HV' in os.path.basename(in_tif_path)) or (
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'VH' in os.path.basename(in_tif_path)) or ('VV' in os.path.basename(in_tif_path)) or (
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'DH' in os.path.basename(in_tif_path)):
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alg.sar_backscattering_coef(in_tif_path, meta_file_path, out_tif_path)
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# 构建RPC
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# 查找RPC
|
||||
rpc_path=in_tif_path.replace(".tiff",".rpc") if os.path.exists(in_tif_path.replace(".tiff",".rpc")) else in_tif_path.replace(".tiff",".rpb")
|
||||
rpc_path = in_tif_path.replace(".tiff", ".rpc") if os.path.exists(
|
||||
in_tif_path.replace(".tiff", ".rpc")) else in_tif_path.replace(".tiff", ".rpb")
|
||||
if not os.path.exists(rpc_path):
|
||||
logger.error('rpc not found!')
|
||||
|
||||
|
|
@ -392,7 +416,8 @@ class ScatteringMain:
|
|||
# out_tif_path,
|
||||
# lin_tif_path)
|
||||
# 线性->地理编码->db
|
||||
lin_tif_path=os.path.join(self.__workspace_preprocessing_path,os.path.splitext(os.path.basename(in_tif_path))[0]) + r"-lin_geo.tif"
|
||||
lin_tif_path = os.path.join(self.__workspace_preprocessing_path,
|
||||
os.path.splitext(os.path.basename(in_tif_path))[0]) + r"-lin_geo.tif"
|
||||
# Orthorectification.calInterpolation_cubic_Wgs84_rc_sar_sigma(parameter_path, this_in_rpc_x_y_path_pro,
|
||||
# out_tif_path,
|
||||
# lin_tif_path)
|
||||
|
|
@ -402,29 +427,28 @@ class ScatteringMain:
|
|||
lin_tif_path)
|
||||
tempout_tif_path = os.path.join(self.__workspace_processing_path,
|
||||
os.path.splitext(os.path.basename(in_tif_path))[0]) + tager + r".tif"
|
||||
alg.lin_to_db(lin_tif_path, tempout_tif_path) #线性值转回DB值
|
||||
|
||||
alg.lin_to_db(lin_tif_path, tempout_tif_path) # 线性值转回DB值
|
||||
|
||||
# 移动RPC
|
||||
#rpc_correction(in_tif_path,rpc_path,out_tif_path,dem_tif_file = None)
|
||||
# rpc_correction(in_tif_path,rpc_path,out_tif_path,dem_tif_file = None)
|
||||
# Orthorectification.inter_Range2Geo(this_in_rpc_lon_lat_path,out_tif_path,tempout_tif_path,Orthorectification.heightspace)
|
||||
|
||||
self.imageHandler.write_quick_view(tempout_tif_path, color_img=False)
|
||||
# self.imageHandler.write_quick_view(lin_tif_path, color_img=False)
|
||||
else:
|
||||
shutil.copy(in_tif_path,self.__workspace_processing_path)
|
||||
shutil.copy(in_tif_path, self.__workspace_processing_path)
|
||||
ref_tif_path = tempout_tif_path
|
||||
# ref_tif_path = lin_tif_path
|
||||
# 构建行列号映射表
|
||||
#out_rpc_rc_path = os.path.join(self.__workspace_processing_path,"RPC_ori_sim.tif")
|
||||
#getRCImageRC(in_tif_path,out_rpc_rc_path,rpc_path)
|
||||
# out_rpc_rc_path = os.path.join(self.__workspace_processing_path,"RPC_ori_sim.tif")
|
||||
# getRCImageRC(in_tif_path,out_rpc_rc_path,rpc_path)
|
||||
logger.info('progress bar: 90%')
|
||||
if(os.path.exists(this_in_rpc_lon_lat_path)):
|
||||
if (os.path.exists(this_in_rpc_lon_lat_path)):
|
||||
os.remove(this_in_rpc_lon_lat_path)
|
||||
if (os.path.exists(this_in_rpc_x_y_path)):
|
||||
os.remove(this_in_rpc_x_y_path)
|
||||
# out_mate_file_path = os.path.join(self.__workspace_processing_path,os.path.split(meta_file_path)[1].rstrip('.meta.xml') + '_DB.meta.xml')
|
||||
out_mate_file_path = os.path.join(self.__workspace_processing_path,os.path.basename(meta_file_path))
|
||||
out_mate_file_path = os.path.join(self.__workspace_processing_path, os.path.basename(meta_file_path))
|
||||
shutil.copy(meta_file_path, out_mate_file_path)
|
||||
|
||||
if ref_tif_path != "":
|
||||
|
|
@ -480,8 +504,8 @@ class ScatteringMain:
|
|||
if __name__ == '__main__':
|
||||
start = datetime.datetime.now()
|
||||
try:
|
||||
if len(sys.argv)<2:
|
||||
xml_path = 'BackScattering.xml'
|
||||
if len(sys.argv) < 2:
|
||||
xml_path = 'BackScattering_C_SAR_V3.xml'
|
||||
else:
|
||||
xml_path = sys.argv[1]
|
||||
ScatteringMain = ScatteringMain(xml_path)
|
||||
|
|
|
|||
Binary file not shown.
|
|
@ -53,7 +53,7 @@
|
|||
<ParaType>File</ParaType>
|
||||
<DataType>csv</DataType>
|
||||
<ParaSource>Man</ParaSource>
|
||||
<ParaValue>E:\isce_yuan\lancover-yuan\output_wkt.csv</ParaValue>
|
||||
<ParaValue>E:\isce_yuan\lancover-yuan\train_landConver1.csv</ParaValue>
|
||||
<EnModification>True</EnModification>
|
||||
<EnMultipleChoice>True</EnMultipleChoice>
|
||||
<Control>UploadInput</Control>
|
||||
|
|
@ -94,37 +94,6 @@
|
|||
<InputType>Aux</InputType>
|
||||
<InputNum>0</InputNum>
|
||||
<DateFrom>Aux</DateFrom>
|
||||
</Parameter>
|
||||
<Parameter>
|
||||
<ParaName>Kernel</ParaName>
|
||||
<ParaChsName>核函数</ParaChsName>
|
||||
<Description>SVM模型核函数(Kernel):rbf、poly、linear</Description>
|
||||
<ParaType>Value</ParaType>
|
||||
<DataType>string</DataType>
|
||||
<ParaSource>Man</ParaSource>
|
||||
<ParaValue>rbf</ParaValue>
|
||||
<EnModification>True</EnModification>
|
||||
<EnMultipleChoice>True</EnMultipleChoice>
|
||||
<Control>UploadInput</Control>
|
||||
<InputType>Aux</InputType>
|
||||
<InputNum>0</InputNum>
|
||||
<DateFrom>Aux</DateFrom>
|
||||
</Parameter>
|
||||
<Parameter>
|
||||
<ParaName>Cost</ParaName>
|
||||
<ParaChsName>惩戒参数</ParaChsName>
|
||||
<Description>默认值为1.0。错误项的惩罚系数。C越大，即对分错样本的惩罚程度越大，因此在训练样本中准确率越高，但是泛化能力降低，也就是对测试数据的分类准确率降低。
|
||||
相反，减小C的话，容许训练样本中有一些误分类错误样本，泛化能力强。对于训练样本带有噪声的情况，一般采用后者，把训练样本集中错误分类的样本作为噪声。</Description>
|
||||
<ParaType>Value</ParaType>
|
||||
<DataType>int</DataType>
|
||||
<ParaSource>Man</ParaSource>
|
||||
<ParaValue>1</ParaValue>
|
||||
<EnModification>True</EnModification>
|
||||
<EnMultipleChoice>True</EnMultipleChoice>
|
||||
<Control>UploadInput</Control>
|
||||
<InputType>Aux</InputType>
|
||||
<InputNum>0</InputNum>
|
||||
<DateFrom>Aux</DateFrom>
|
||||
</Parameter>
|
||||
</Inputs>
|
||||
<Outputs ParameterNum="1">
|
||||
|
|
|
|||
|
|
@ -567,12 +567,12 @@ class LandCoverMain:
|
|||
X_train, Y_train, optimal_feature = ml.gene_optimal_train_set(train_data_dic, feature_geo, 0.07, 0.85) # 0.07, 0.85
|
||||
|
||||
# 训练模型
|
||||
cost = self.__processing_paras["Cost"]
|
||||
kernel = self.__processing_paras["Kernel"]
|
||||
if cost < 0:
|
||||
cost = 1
|
||||
if kernel != 'rbf' and kernel != 'poly' and kernel != 'linear' and kernel != 'sigmoid':
|
||||
kernel = 'rbf'
|
||||
# cost = self.__processing_paras["Cost"]
|
||||
# kernel = self.__processing_paras["Kernel"]
|
||||
# if cost < 0:
|
||||
# cost = 1
|
||||
# if kernel != 'rbf' and kernel != 'poly' and kernel != 'linear' and kernel != 'sigmoid':
|
||||
# kernel = 'rbf'
|
||||
|
||||
# RF
|
||||
clf = ml.trainRF(X_train, Y_train)
|
||||
|
|
|
|||
|
|
@ -392,6 +392,20 @@ class MachineLeaning:
|
|||
logger.info('total:%s,num:%s create train set success!', len(measured_data_img), n)
|
||||
return np.array(X_train), np.array(Y_train)
|
||||
|
||||
@staticmethod
|
||||
def get_train_data(features_array, measured_data):
|
||||
X_train = []
|
||||
Y_train = []
|
||||
for data in measured_data:
|
||||
row = data[0]
|
||||
col = data[1]
|
||||
feature = features_array[:, row, col]
|
||||
if not np.isnan(feature).any() or np.isinf(feature).any():
|
||||
X_train.append(list(feature))
|
||||
Y_train.append([data[2]])
|
||||
|
||||
return np.array(X_train), np.array(Y_train)
|
||||
|
||||
@staticmethod
|
||||
def trainRF(X_train, Y_train):
|
||||
#随机森林
|
||||
|
|
|
|||
|
|
@ -165,14 +165,14 @@ class ManageAlgXML:
|
|||
env_note = self.__alg_compt.find("Environment")
|
||||
|
||||
is_cluster = int(env_note.find("IsCluster").text.replace("\n", "").replace(' ', ''))
|
||||
is_legal = is_cluster in [0, 1]
|
||||
if not is_legal:
|
||||
raise Exception("IsCluster is not 0 or 1")
|
||||
# is_legal = is_cluster in [0, 1]
|
||||
# if not is_legal:
|
||||
# raise Exception("IsCluster is not 0 or 1")
|
||||
|
||||
cluster_num = int(env_note.find("ClusterNum").text)
|
||||
is_legal = cluster_num in [0, 1, 2, 3, 4, 5, 6, 7]
|
||||
if not is_legal:
|
||||
raise Exception("cluster_num is beyond [0,1,2,3,4,5,6,7]")
|
||||
# if not is_legal:
|
||||
# raise Exception("cluster_num is beyond [0,1,2,3,4,5,6,7]")
|
||||
|
||||
operating_system = env_note.find("OperatingSystem").text.replace("\n", "").replace(' ', '') #去除空格和回车
|
||||
# is_legal = operating_system in ["Windows10", "Windows7", "WindowsXP"]
|
||||
|
|
@ -186,8 +186,8 @@ class ManageAlgXML:
|
|||
|
||||
memory = env_note.find("Memory").text.replace("\n", "").replace(' ', '') #去除空格和回车
|
||||
is_legal = memory in ["1GB", "2GB", "4GB", "6GB", "8GB", "10GB", "12GB", "16GB"]
|
||||
if not is_legal:
|
||||
raise Exception("OperatingSystem is beyond [1GB, 2GB, 4GB, 6GB, 8GB, 10GB, 12GB, 16GB]")
|
||||
# if not is_legal:
|
||||
# raise Exception("OperatingSystem is beyond [1GB, 2GB, 4GB, 6GB, 8GB, 10GB, 12GB, 16GB]")
|
||||
|
||||
storage = env_note.find("Storage").text.replace("\n", "").replace(' ', '') #去除空格和回车
|
||||
is_legal = int(storage[:-2]) > 0
|
||||
|
|
@ -543,7 +543,7 @@ class InitPara:
|
|||
processing_paras.update({name+str(n): para_value})
|
||||
elif para['DataType'] == 'zip':
|
||||
# temp_para = para['ParaValue'].split(".")[0]
|
||||
para_value_list = out_path.split(";")
|
||||
para_value_list = para['ParaValue'].split(";")
|
||||
if len(para_value_list) == 1:
|
||||
para_path = para['ParaValue']
|
||||
if para_path != 'empty' and para_path != '':
|
||||
|
|
@ -716,7 +716,6 @@ class InitPara:
|
|||
para_dic.update({'name': name})
|
||||
|
||||
file_dir = os.path.join(workspace_preprocessing_path, name + '\\')
|
||||
if self._debug == False:
|
||||
fileHandle().de_targz(tar_gz_path, file_dir)
|
||||
# 元文件字典
|
||||
para_dic.update(InitPara.get_meta_dic_VP(InitPara.get_meta_paths(file_dir, name), name))
|
||||
|
|
|
|||
|
|
@ -11,6 +11,7 @@
|
|||
import os
|
||||
import tarfile
|
||||
import shutil
|
||||
import zipfile
|
||||
|
||||
class fileHandle:
|
||||
def __init__(self, debug_mode=False):
|
||||
|
|
@ -63,6 +64,20 @@ class fileHandle:
|
|||
with tarfile.open(output_filename, "w:gz") as tar:
|
||||
tar.add(source_dir, arcname=os.path.basename(source_dir))
|
||||
|
||||
@staticmethod
|
||||
def make_zip(output_filename, source_file):
|
||||
"""
|
||||
一次性打包整个根目录。空子目录会被打包。
|
||||
如果只打包不压缩，将"w:gz"参数改为"w:"或"w"即可。
|
||||
:param output_filename:输出压缩包的完整路径，eg:'E:\test.tar.gz'
|
||||
:param source_dir:需要打包的跟目录，eg: 'E:\testFfile\'打包文件夹里面的所有文件,'E:\testFfile'打包文件夹
|
||||
"""
|
||||
dir = os.path.split(output_filename)[0]
|
||||
if os.path.exists(dir) is False:
|
||||
os.makedirs(dir)
|
||||
with zipfile.ZipFile(output_filename, "w") as zipf:
|
||||
zipf.write(source_file, os.path.basename(source_file))
|
||||
|
||||
@staticmethod
|
||||
def de_targz(tar_gz_path, file_dir):
|
||||
name = os.path.split(tar_gz_path)[1].rstrip('.tar.gz')
|
||||
|
|
@ -82,7 +97,9 @@ class fileHandle:
|
|||
os.makedirs(dir) # 创建路径
|
||||
shutil.copy(srcfile, dir + fname) # 复制文件
|
||||
|
||||
# if __name__ == '__main__':
|
||||
# file = fileHandle()
|
||||
# file.del_floder("I:\preprocessed")
|
||||
# pass
|
||||
if __name__ == '__main__':
|
||||
file = fileHandle()
|
||||
out_zip = r'D:\micro\WorkSpace\SoilSalinityTrain\Output\model.zip'
|
||||
source = r'D:\micro\WorkSpace\SoilSalinityTrain\Temporary\processing\product\model.pkl'
|
||||
file.make_zip(out_zip, source)
|
||||
pass
|
||||
Loading…
Reference in New Issue