Beispiel #1
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 def initialC(self):
     data = ConfigParser()
     data.read('validationData/initial_constants.ini')
     name = self.name + '-'\
         + repr(self.index[0]) + '-' + repr(self.index[1])
     C = []
     for i in range(4):
         C.append((float)(data.get(name, 'C' + repr(i + 1))))
     return C
Beispiel #2
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 def initialC(self):
     data = ConfigParser()
     data.read('validationData/initial_constants.ini')
     name = self.name + '-'\
         + repr(self.index[0]) + '-' + repr(self.index[1])
     C = []
     for i in range(4):
         C.append((float)(data.get(name, 'C' + repr(i + 1))))
     return C
Beispiel #3
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    def read_config(self):
        """ Read config from config file
        """

        conf = ConfigParser()
        conf.read(self.configfile)
        self.host = conf.get("jobs", "host")
        self.queue = conf.get("jobs", "queue")
        self.username = conf.get("credentials", "username")
        self.password = conf.get("credentials", "password")
Beispiel #4
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    def read_config(self):
        """ Read config from config file
        """

        conf = ConfigParser()
        conf.read(self.configfile)
        self.host = conf.get("jobs", "host")
        self.queue = conf.get("jobs", "queue")
        self.username = conf.get("credentials", "username")
        self.password = conf.get("credentials", "password")
Beispiel #5
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from help_functions import *
# extract_patches.py
from extract_patches import recompone
from extract_patches import recompone_overlap
from extract_patches import paint_border
from extract_patches import kill_border
from extract_patches import pred_only_FOV
from extract_patches import get_data_testing
from extract_patches import get_data_testing_overlap
# pre_processing.py
from pre_processing import my_PreProc


#config file to read from
config = ConfigParser()
config.read('configuration.txt')
#===========================================
#run the training on invariant or local
path_data = config.get('data paths', 'path_local')

#original test images (for FOV selection)
DRIVE_test_imgs_original = path_data + config.get('data paths', 'test_imgs_original')
test_imgs_orig = load_hdf5(DRIVE_test_imgs_original)
full_img_height = test_imgs_orig.shape[2]
full_img_width = test_imgs_orig.shape[3]
#the border masks provided by the DRIVE
DRIVE_test_border_masks = path_data + config.get('data paths', 'test_border_masks')
test_border_masks = load_hdf5(DRIVE_test_border_masks)
# dimension of the patches
patch_height = config.getint('data attributes', 'patch_height')
patch_width = config.getint('data attributes', 'patch_width')