def test_tensor_to_boxes(self):
box0 = [0, 0, 1, 1]
box1 = [2, 2, 3, 3]
t1 = torch.Tensor([box0, box1])
boxes = Box.tensor_to_boxes(t1)
tboxes0 = boxes[0].to_single_array()
tboxes1 = boxes[1].to_single_array()
self.assertTrue(all(box0[i] == tboxes0[i]
for i in range(len(tboxes0))))
self.assertTrue(all(box1[i] == tboxes1[i]
for i in range(len(tboxes1))))
def __convert_to_objects(self, boxes, classes):
boxlist = Box.tensor_to_boxes(boxes.cpu())
objects = []
for x, y in zip(*(boxlist, classes.cpu().numpy())):
objects.append(Object(x, 0, self.class_lookup[y]))
return objects
