def setUp(self):
self.data = load_testdata('ds2')
self.cell_list = data_to_cells(self.data,
initial_crop=2,
rotate='binary')
self.cell_obj = self.cell_list[0]
self.cell_obj.optimize()
def setUp(self):
self.data = load_testdata('ds1')
f_path = os.path.dirname(os.path.realpath(__file__))
self.storm_cells_1 = load(
os.path.join(f_path, 'test_data/test_single_spot_storm.hdf5'))
self.storm_cells_2 = load(
os.path.join(f_path, 'test_data/test_double_spot_storm.hdf5'))
cells_no_flu = []
for c in self.storm_cells_2:
d = Data()
d.add_data(c.data.binary_img, 'binary')
d.add_data(c.data.data_dict['storm_1'], 'storm', 'storm_1')
d.add_data(c.data.data_dict['storm_2'], 'storm', 'storm_2')
cell = Cell(d)
cells_no_flu.append(cell)
self.storm_cells_2_no_flu = CellList(cells_no_flu)
def setUp(self):
self.data = load_testdata('ds1')
def setUp(self):
self.data = load_testdata('ds1')
f_path = os.path.dirname(os.path.realpath(__file__))
self.cells = load(
os.path.join(f_path, 'test_data/test_synth_cell_storm.hdf5'))
self.cell = self.cells[0]
def setUp(self):
data = load_testdata('ds1')
self.cell_list = data_to_cells(data)
