udpate: tricks bisenet

inference/tricks.py

@@ -149,7 +149,7 @@ vgg_std = torch.tensor([[[0.229]], [[0.224]], [[0.225]]],
 def load_bisenet():
     bisenet_model = BiSeNet(n_classes=19)
     bisenet_model.load_state_dict(
-        torch.load(make_abs_path("./weights/79999_iter.pth",), map_location="cpu")
+        torch.load(make_abs_path("../weights/79999_iter.pth",), map_location="cpu")
     )
     bisenet_model.eval()
     bisenet_model = bisenet_model.to(device)