def __init__(self):
VariableType.__init__(self)
self.oci_type = oci.POINTER(oci.OCIInterval)
#self.initialize_proc = None
#self.finalize_proc = None
self.pre_define_proc = None
self.post_define_proc = None
self.pre_fetch_proc = None
self.is_null_proc = None
#self.set_value_proc = None
#self.get_value_proc = None
self.get_buffer_size_proc = None
self.python_type = INTERVAL
self.oracle_type = oci.SQLT_INTERVAL_DS
self.charset_form = oci.SQLCS_IMPLICIT
self.size = ctypes.sizeof(self.oci_type)
self.is_character_data = False
self.is_variable_length = False
self.can_be_copied = True
self.can_be_in_array = True
self.descriptor_manager = DescriptorManager()
def __init__(self):
VariableType.__init__(self)
self.oci_type = oci.POINTER(oci.OCILobLocator)
self.initialize_proc = self.initialize
self.finalize_proc = self.finalize
self.pre_define_proc = None
self.post_define_proc = None
self.pre_fetch_proc = self.pre_fetch
self.is_null_proc = None
self.set_value_proc = self.set_value
self.get_value_proc = self.get_value
self.get_buffer_size_proc = None
#self.python_type = None
#self.oracle_type = None
#self.charset_form = None
self.size = ctypes.sizeof(self.oci_type)
#self.is_character_data = None
self.is_variable_length = False
self.can_be_copied = False
self.can_be_in_array = False
self.descriptor_manager = DescriptorManager()
import os
import numpy as np
import pickle
from descriptor_manager import DescriptorManager
import utilities as utils
if __name__ == '__main__':
wdir = '../../dataset/train-x512-processed-stage2'
idx = os.path.join(wdir, 'idx_test.txt')
manager = DescriptorManager(os.path.join(wdir, 'descriptors'))
print('Reading data...')
cervixes = utils.readCervixes(idx, "test")
print('Building descriptors')
cervix_kmeans_model = None
cervix_kmeans_name = 'models/kmeans_pixels-20000_clusters-64'
with open(cervix_kmeans_name, 'rb') as f:
cervix_kmeans_model = pickle.load(f)
channel_kmeans_model = None
channel_kmeans_name = 'models/kmeans_channel_pixels-20000_clusters-64'
with open(channel_kmeans_name, 'rb') as f:
channel_kmeans_model = pickle.load(f)
configs = [
['RGB-hist', {
'bins': 32,
