update

app.py

@@ -14,7 +14,7 @@ from huggingface_hub import hf_hub_download
 # Set to cuda to load on GPU
 device = "cpu"
 checkpoint_file = hf_hub_download(repo_id="Andy1621/uniformer", filename="upernet_global_small.pth")
-config_file = './exp/upernet_hybrid_small/config.py'
+config_file = './exp/upernet_global_small/test_config_h32.py'
 # init detector
 # build the model from a config file and a checkpoint file
 model = init_segmentor(config_file, checkpoint_file, device='cpu')

configs/_base_/models/upernet_uniformer.py

@@ -1,5 +1,5 @@
 # model settings
-norm_cfg = dict(type='SyncBN', requires_grad=True)
+norm_cfg = dict(type='BN', requires_grad=True)
 model = dict(
     type='EncoderDecoder',
     pretrained=None,