def test_yolov2_2(self):
from dlpy.applications import YoloV2
anchors = []
anchors.append(1)
anchors.append(1)
model = YoloV2(self.s, anchors, predictions_per_grid=1)
model.print_summary()
def test_yolov2(self):
with self.assertRaises(DLPyError):
from dlpy.applications import YoloV2
anchors = []
anchors.append(1)
anchors.append(1)
model = YoloV2(self.s, anchors)
model.print_summary()
def test_yolov2_4(self):
from dlpy.applications import YoloV2
anchors=[]
anchors.append(1)
anchors.append(1)
anchors.append(1)
anchors.append(1)
model = YoloV2(self.s, anchors, predictions_per_grid=2, max_label_per_image=3, max_boxes=1)
model.print_summary()