def test_inceptionv3_2(self):
if self.data_dir is None:
unittest.TestCase.skipTest(self, "DLPY_DATA_DIR is not set in the environment variables")
file_dependency = self.data_dir + 'InceptionV3_weights.kerasmodel.h5'
if not file_exist_on_server(self.s, file_dependency):
unittest.TestCase.skipTest(self, "File, {}, not found.".format(file_dependency))
from dlpy.applications import InceptionV3
model = InceptionV3(self.s,
model_table='INCEPTIONV3',
n_classes=1000,
n_channels=3,
width=299,
height=299,
scale=1,
offsets=(103.939, 116.779, 123.68),
pre_trained_weights=True,
pre_trained_weights_file=self.data_dir + 'InceptionV3_weights.kerasmodel.h5',
include_top=True)
model.print_summary()
# test random_crop and mutation
model2 = InceptionV3(self.s, model_table='VGG16', n_classes=1000, n_channels=3,
width=299, height=299, scale=1,
offsets=None,
random_crop='unique',
random_flip='hv',
random_mutation='random',
pre_trained_weights=True,
pre_trained_weights_file=self.data_dir + 'InceptionV3_weights.kerasmodel.h5',
include_top=True)
model2.print_summary()
def test_inceptionv3_3(self):
if self.data_dir is None:
unittest.TestCase.skipTest(self, "DLPY_DATA_DIR is not set in the environment variables")
from dlpy.applications import InceptionV3
model = InceptionV3(self.s,
model_table='INCEPTIONV3',
n_classes=3,
n_channels=3,
width=299,
height=299,
scale=1,
offsets=(103.939, 116.779, 123.68),
pre_trained_weights=True,
pre_trained_weights_file=self.data_dir+'InceptionV3_weights.kerasmodel.h5',
include_top=False)
model.print_summary()
def test_inceptionv3_1(self):
from dlpy.applications import InceptionV3
model = InceptionV3(self.s, n_classes=3)
model.print_summary()
def test_inceptionv3(self):
from dlpy.applications import InceptionV3
model = InceptionV3(self.s)
model.print_summary()
