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修改地表覆盖类型流程

dev
tian jiax 2023-11-15 15:59:02 +08:00
parent e42eedea0c
commit b2a76e2380
1 changed files with 9 additions and 7 deletions
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16
landcover_c_sar/LandCoverMain.py
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@ -56,8 +56,9 @@ logger = logging.getLogger("mylog")
FILTER_SIZE = int(cf.get('filter_size')) FILTER_SIZE = int(cf.get('filter_size'))
file =fileHandle(DEBUG) file =fileHandle(DEBUG)
MAX_TRAN_NUM = int(cf.get('max_tran__num_per_class')) MAX_TRAN_NUM = int(cf.get('max_tran__num_per_class'))
env_str = os.path.split(os.path.realpath(__file__))[0] # env_str = os.path.split(os.path.realpath(__file__))[0]
os.environ['PROJ_LIB'] = env_str env_str = os.path.dirname(os.path.abspath(sys.argv[0]))
os.environ['PROJ_LIB'] = os.getcwd()
class LandCoverMain: class LandCoverMain:
""" """
算法主函数 算法主函数
@ -165,6 +166,7 @@ class LandCoverMain:
""" """
预处理 预处理
""" """
para_names_geo = ['sim_ori'] para_names_geo = ['sim_ori']
# for key in self.__processing_paras.keys(): # for key in self.__processing_paras.keys():
# if "FeatureMap" in key: # if "FeatureMap" in key:
@ -544,13 +546,13 @@ class LandCoverMain:
kernel = 'rbf' kernel = 'rbf'
# RF # RF
clf = ml.trainRF(X_train, Y_train) # clf = ml.trainRF(X_train, Y_train)
logger.info("RF train successful") # logger.info("RF train successful")
# # SVM # # SVM
# clf = ml.trainSVM(X_train, Y_train, cost, kernel) clf = ml.trainSVM(X_train, Y_train, cost, kernel)
# logger.info("SVM train successful") logger.info("SVM train successful")
# logger.info('progress bar: 60%') logger.info('progress bar: 60%')
# 生成测试集 # 生成测试集
# X_test_path_list = ml.gene_test_set(self.__feature_tif_dir, optimal_feature) # X_test_path_list = ml.gene_test_set(self.__feature_tif_dir, optimal_feature)